diff --git a/single_include/kompute/Kompute.hpp b/single_include/kompute/Kompute.hpp
index 9e67393..bc5d7fb 100755
--- a/single_include/kompute/Kompute.hpp
+++ b/single_include/kompute/Kompute.hpp
@@ -1,2088 +1,2088 @@
-#pragma once
-
-#ifdef VK_USE_PLATFORM_ANDROID_KHR
-#include <android/log.h>
-#include <kompute_vk_ndk_wrapper.hpp>
-// VK_NO_PROTOTYPES required before vulkan import but after wrapper.hpp
-#undef VK_NO_PROTOTYPES
-static const char* KOMPUTE_LOG_TAG = "KomputeLog";
-#endif
-
-#include <vulkan/vulkan.hpp>
-
-// Must be after vulkan is included
-#ifndef KOMPUTE_VK_API_VERSION
-#ifndef KOMPUTE_VK_API_MAJOR_VERSION
-#define KOMPUTE_VK_API_MAJOR_VERSION 1
-#endif // KOMPUTE_VK_API_MAJOR_VERSION
-#ifndef KOMPUTE_VK_API_MINOR_VERSION
-#define KOMPUTE_VK_API_MINOR_VERSION 1
-#endif // KOMPUTE_VK_API_MINOR_VERSION
-#define KOMPUTE_VK_API_VERSION                                                 \
-    VK_MAKE_VERSION(                                                           \
-      KOMPUTE_VK_API_MAJOR_VERSION, KOMPUTE_VK_API_MINOR_VERSION, 0)
-#endif // KOMPUTE_VK_API_VERSION
-
-// SPDLOG_ACTIVE_LEVEL must be defined before spdlog.h import
-#ifndef SPDLOG_ACTIVE_LEVEL
-#if DEBUG
-#define SPDLOG_ACTIVE_LEVEL SPDLOG_LEVEL_DEBUG
-#else
-#define SPDLOG_ACTIVE_LEVEL SPDLOG_LEVEL_INFO
-#endif
-#endif
-
-#if defined(KOMPUTE_BUILD_PYTHON)
-    #include <pybind11/pybind11.h>
-    namespace py = pybind11;
-    //from python/src/main.cpp
-    extern py::object kp_debug, kp_info, kp_warning, kp_error;
-#endif
-
-#ifndef KOMPUTE_LOG_OVERRIDE
-    #if KOMPUTE_ENABLE_SPDLOG
-        #include <spdlog/spdlog.h>
-    #else
-        #include <iostream>
-        #if SPDLOG_ACTIVE_LEVEL > 1
-            #define SPDLOG_DEBUG(message, ...)
-        #else
-            #if defined(VK_USE_PLATFORM_ANDROID_KHR)
-                #define SPDLOG_DEBUG(message, ...)                                             \
-                ((void)__android_log_print(ANDROID_LOG_DEBUG, KOMPUTE_LOG_TAG, message))
-            #elif defined(KOMPUTE_BUILD_PYTHON)
-                #define SPDLOG_DEBUG(message, ...)                                             \
-                kp_debug(message);
-            #else
-                #define SPDLOG_DEBUG(message, ...)                                             \
-                std::cout << "DEBUG: " << message << std::endl
-            #endif // VK_USE_PLATFORM_ANDROID_KHR
-        #endif // SPDLOG_ACTIVE_LEVEL > 1
-        
-        #if SPDLOG_ACTIVE_LEVEL > 2
-            #define SPDLOG_INFO(message, ...)
-        #else
-            #if defined(VK_USE_PLATFORM_ANDROID_KHR)
-                #define SPDLOG_INFO(message, ...)                                              \
-                ((void)__android_log_print(ANDROID_LOG_INFO, KOMPUTE_LOG_TAG, message))
-            #elif defined(KOMPUTE_BUILD_PYTHON)
-                #define SPDLOG_INFO(message, ...)                                              \
-                kp_info(message);
-            #else
-                #define SPDLOG_INFO(message, ...) std::cout << "INFO: " << message << std::endl
-            #endif // VK_USE_PLATFORM_ANDROID_KHR
-        #endif // SPDLOG_ACTIVE_LEVEL > 2
-    
-        #if SPDLOG_ACTIVE_LEVEL > 3
-            #define SPDLOG_WARN(message, ...)
-        #else
-            #if defined(VK_USE_PLATFORM_ANDROID_KHR)
-                #define SPDLOG_WARN(message, ...)                                              \
-                ((void)__android_log_print(ANDROID_LOG_INFO, KOMPUTE_LOG_TAG, message))
-            #elif defined(KOMPUTE_BUILD_PYTHON)
-                #define SPDLOG_WARN(message, ...)                                              \
-                kp_warning(message);
-            #else
-                #define SPDLOG_WARN(message, ...)                                              \
-                std::cout << "WARNING: " << message << std::endl
-            #endif // VK_USE_PLATFORM_ANDROID_KHR
-        #endif // SPDLOG_ACTIVE_LEVEL > 3
-    
-        #if SPDLOG_ACTIVE_LEVEL > 4
-            #define SPDLOG_ERROR(message, ...)
-        #else
-            #if defined(VK_USE_PLATFORM_ANDROID_KHR)
-                #define SPDLOG_ERROR(message, ...)                                             \
-                ((void)__android_log_print(ANDROID_LOG_INFO, KOMPUTE_LOG_TAG, message))
-            #elif defined(KOMPUTE_BUILD_PYTHON)
-                #define SPDLOG_ERROR(message, ...)                                             \
-                kp_error(message);
-            #else
-                #define SPDLOG_ERROR(message, ...)                                             \
-                std::cout << "ERROR: " << message << std::endl
-            #endif // VK_USE_PLATFORM_ANDROID_KHR
-        #endif // SPDLOG_ACTIVE_LEVEL > 4
-    #endif // KOMPUTE_SPDLOG_ENABLED
-#endif // KOMPUTE_LOG_OVERRIDE
-
-/*
-    THIS FILE HAS BEEN AUTOMATICALLY GENERATED - DO NOT EDIT
-
-    ---
-
-    Copyright 2020 The Institute for Ethical AI & Machine Learning
-
-    Licensed under the Apache License, Version 2.0 (the "License");
-    you may not use this file except in compliance with the License.
-    You may obtain a copy of the License at
-
-        http://www.apache.org/licenses/LICENSE-2.0
-
-    Unless required by applicable law or agreed to in writing, software
-    distributed under the License is distributed on an "AS IS" BASIS,
-    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-    See the License for the specific language governing permissions and
-    limitations under the License.
-*/
-
-#ifndef SHADEROP_SHADEROPMULT_HPP
-#define SHADEROP_SHADEROPMULT_HPP
-
-namespace kp {
-namespace shader_data {
-static const unsigned char shaders_glsl_opmult_comp_spv[] = {
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-  0x24, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x10, 0x00, 0x00, 0x00,
-  0x26, 0x00, 0x00, 0x00, 0x25, 0x00, 0x00, 0x00, 0x85, 0x00, 0x05, 0x00,
-  0x10, 0x00, 0x00, 0x00, 0x27, 0x00, 0x00, 0x00, 0x1f, 0x00, 0x00, 0x00,
-  0x26, 0x00, 0x00, 0x00, 0x41, 0x00, 0x06, 0x00, 0x1d, 0x00, 0x00, 0x00,
-  0x28, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00,
-  0x17, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00, 0x28, 0x00, 0x00, 0x00,
-  0x27, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00
-};
-static const unsigned int shaders_glsl_opmult_comp_spv_len = 1464;
-}
-}
-#endif // define SHADEROP_SHADEROPMULT_HPP
-
-/*
-    THIS FILE HAS BEEN AUTOMATICALLY GENERATED - DO NOT EDIT
-
-    ---
-
-    Copyright 2020 The Institute for Ethical AI & Machine Learning
-
-    Licensed under the Apache License, Version 2.0 (the "License");
-    you may not use this file except in compliance with the License.
-    You may obtain a copy of the License at
-
-        http://www.apache.org/licenses/LICENSE-2.0
-
-    Unless required by applicable law or agreed to in writing, software
-    distributed under the License is distributed on an "AS IS" BASIS,
-    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-    See the License for the specific language governing permissions and
-    limitations under the License.
-*/
-
-#ifndef SHADEROP_SHADERLOGISTICREGRESSION_HPP
-#define SHADEROP_SHADERLOGISTICREGRESSION_HPP
-
-namespace kp {
-namespace shader_data {
-static const unsigned char shaders_glsl_logisticregression_comp_spv[] = {
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-  0x2f, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
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-  0x1c, 0x00, 0x00, 0x00, 0x34, 0x00, 0x00, 0x00, 0x85, 0x00, 0x05, 0x00,
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-  0x37, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, 0x83, 0x00, 0x05, 0x00,
-  0x06, 0x00, 0x00, 0x00, 0x38, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00,
-  0x37, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
-  0x39, 0x00, 0x00, 0x00, 0x15, 0x00, 0x00, 0x00, 0x83, 0x00, 0x05, 0x00,
-  0x06, 0x00, 0x00, 0x00, 0x3a, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00,
-  0x39, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x06, 0x00, 0x06, 0x00, 0x00, 0x00,
-  0x3b, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
-  0x3a, 0x00, 0x00, 0x00, 0x85, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00,
-  0x3c, 0x00, 0x00, 0x00, 0x38, 0x00, 0x00, 0x00, 0x3b, 0x00, 0x00, 0x00,
-  0x81, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x00, 0x00,
-  0x36, 0x00, 0x00, 0x00, 0x3c, 0x00, 0x00, 0x00, 0x7f, 0x00, 0x04, 0x00,
-  0x06, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x00, 0x00,
-  0xfe, 0x00, 0x02, 0x00, 0x3e, 0x00, 0x00, 0x00, 0x38, 0x00, 0x01, 0x00
-};
-static const unsigned int shaders_glsl_logisticregression_comp_spv_len = 4920;
-}
-}
-#endif // define SHADEROP_SHADERLOGISTICREGRESSION_HPP
-
-#include <unordered_map>
-
-#define KP_MAX_DIM_SIZE 1
-
-namespace kp {
-
-/**
- * Structured data used in GPU operations.
- *
- * Tensors are the base building block in Kompute to perform operations across
- * GPUs. Each tensor would have a respective Vulkan memory and buffer, which
- * would be used to store their respective data. The tensors can be used for GPU
- * data storage or transfer.
- */
-class Tensor
-{
-  public:
-    /**
-     * Type for tensors created: Device allows memory to be transferred from
-     * staging buffers. Staging are host memory visible. Storage are device
-     * visible but are not set up to transfer or receive data (only for shader
-     * storage).
-     */
-    enum class TensorTypes
-    {
-        eDevice = 0,  ///< Type is device memory, source and destination
-        eStaging = 1, ///< Type is host memory, source and destination
-        eStorage = 2, ///< Type is Device memory (only)
-    };
-
-    /**
-     *  Base constructor, should not be used unless explicitly intended.
-     */
-    Tensor();
-
-    /**
-     *  Default constructor with data provided which would be used to create the
-     * respective vulkan buffer and memory.
-     *
-     *  @param data Vector of data that will be used by the tensor
-     *  @param tensorType Type for the tensor which is of type TensorTypes
-     */
-    Tensor(const std::vector<float>& data,
-           TensorTypes tensorType = TensorTypes::eDevice);
-
-    /**
-     * Destructor which is in charge of freeing vulkan resources unless they
-     * have been provided externally.
-     */
-    ~Tensor();
-
-    /**
-     * Initialiser which calls the initialisation for all the respective tensors
-     * as well as creates the respective staging tensors. The staging tensors
-     * would only be created for the tensors of type TensorType::eDevice as
-     * otherwise there is no need to copy from host memory.
-     */
-    void init(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-              std::shared_ptr<vk::Device> device);
-
-    /**
-     * Destroys and frees the GPU resources which include the buffer and memory.
-     */
-    void freeMemoryDestroyGPUResources();
-
-    /**
-     * Returns the vector of data currently contained by the Tensor. It is
-     * important to ensure that there is no out-of-sync data with the GPU
-     * memory.
-     *
-     * @return Reference to vector of elements representing the data in the
-     * tensor.
-     */
-    std::vector<float>& data();
-    /**
-     * Overrides the subscript operator to expose the underlying data's
-     * subscript operator which in this case would be its underlying
-     * vector's.
-     *
-     * @param i The index where the element will be returned from.
-     * @return Returns the element in the position requested.
-     */
-    float& operator[](int index);
-    /**
-     * Returns the size/magnitude of the Tensor, which will be the total number
-     * of elements across all dimensions
-     *
-     * @return Unsigned integer representing the total number of elements
-     */
-    uint32_t size();
-    /**
-     * Returns the shape of the tensor, which includes the number of dimensions
-     * and the size per dimension.
-     *
-     * @return Array containing the sizes for each dimension. Zero means
-     * respective dimension is not active.
-     */
-    std::array<uint32_t, KP_MAX_DIM_SIZE> shape();
-    /**
-     * Retrieve the tensor type of the Tensor
-     *
-     * @return Tensor type of tensor
-     */
-    TensorTypes tensorType();
-    /**
-     * Returns true if the tensor initialisation function has been carried out
-     * successful, which would mean that the buffer and memory will have been
-     * provisioned.
-     */
-    bool isInit();
-
-    /**
-     * Sets / resets the vector data of the tensor. This function does not
-     * perform any copies into GPU memory and is only performed on the host.
-     */
-    void setData(const std::vector<float>& data);
-
-    /**
-     * Records a copy from the memory of the tensor provided to the current
-     * thensor. This is intended to pass memory into a processing, to perform
-     * a staging buffer transfer, or to gather output (between others).
-     *
-     * @param commandBuffer Vulkan Command Buffer to record the commands into
-     * @param copyFromTensor Tensor to copy the data from
-     * @param createBarrier Whether to create a barrier that ensures the data is
-     * copied before further operations. Default is true.
-     */
-    void recordCopyFrom(std::shared_ptr<vk::CommandBuffer> commandBuffer,
-                        std::shared_ptr<Tensor> copyFromTensor,
-                        bool createBarrier);
-
-    /**
-     * Records the buffer memory barrier into the command buffer which
-     * ensures that relevant data transfers are carried out correctly.
-     *
-     * @param commandBuffer Vulkan Command Buffer to record the commands into
-     * @param srcAccessMask Access flags for source access mask
-     * @param dstAccessMask Access flags for destination access mask
-     * @param scrStageMask Pipeline stage flags for source stage mask
-     * @param dstStageMask Pipeline stage flags for destination stage mask
-     */
-    void recordBufferMemoryBarrier(
-      std::shared_ptr<vk::CommandBuffer> commandBuffer,
-      vk::AccessFlagBits srcAccessMask,
-      vk::AccessFlagBits dstAccessMask,
-      vk::PipelineStageFlagBits srcStageMask,
-      vk::PipelineStageFlagBits dstStageMask);
-
-    /**
-     * Constructs a vulkan descriptor buffer info which can be used to specify
-     * and reference the underlying buffer component of the tensor without
-     * exposing it.
-     *
-     * @return Descriptor buffer info with own buffer
-     */
-    vk::DescriptorBufferInfo constructDescriptorBufferInfo();
-    /**
-     * Maps data from the Host Visible GPU memory into the data vector. It
-     * requires the Tensor to be of staging type for it to work.
-     */
-    void mapDataFromHostMemory();
-    /**
-     * Maps data from the data vector into the Host Visible GPU memory. It
-     * requires the tensor to be of staging type for it to work.
-     */
-    void mapDataIntoHostMemory();
-
-  private:
-    // -------------- NEVER OWNED RESOURCES
-    std::shared_ptr<vk::PhysicalDevice> mPhysicalDevice;
-    std::shared_ptr<vk::Device> mDevice;
-
-    // -------------- OPTIONALLY OWNED RESOURCES
-    std::shared_ptr<vk::Buffer> mBuffer;
-    bool mFreeBuffer;
-    std::shared_ptr<vk::DeviceMemory> mMemory;
-    bool mFreeMemory;
-
-    // -------------- ALWAYS OWNED RESOURCES
-    std::vector<float> mData;
-
-    TensorTypes mTensorType = TensorTypes::eDevice;
-
-    std::array<uint32_t, KP_MAX_DIM_SIZE> mShape;
-    bool mIsInit = false;
-
-    void createBuffer(); // Creates the vulkan buffer
-
-    // Private util functions
-    vk::BufferUsageFlags getBufferUsageFlags();
-    vk::MemoryPropertyFlags getMemoryPropertyFlags();
-    uint64_t memorySize();
-};
-
-} // End namespace kp
-
-namespace kp {
-
-/**
- *  Base Operation which provides the high level interface that Kompute
- *  operations implement in order to perform a set of actions in the GPU.
- *
- *  Operations can perform actions on tensors, and optionally can also own an
- *  Algorithm with respective parameters. kp::Operations with kp::Algorithms
- *  would inherit from kp::OpBaseAlgo.
- */
-class OpBase
-{
-  public:
-    /**
-     *  Base constructor, should not be used unless explicitly intended.
-     */
-    OpBase() { SPDLOG_DEBUG("Compute OpBase base constructor"); }
-
-    /**
-     * Default constructor with parameters that provides the bare minimum
-     * requirements for the operations to be able to create and manage their
-     * sub-components.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that are to be used in this operation
-     * @param freeTensors Whether operation manages the memory of the Tensors
-     */
-    OpBase(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-           std::shared_ptr<vk::Device> device,
-           std::shared_ptr<vk::CommandBuffer> commandBuffer,
-           std::vector<std::shared_ptr<Tensor>>& tensors,
-           bool freeTensors)
-    {
-        SPDLOG_DEBUG("Compute OpBase constructor with params");
-
-        this->mPhysicalDevice = physicalDevice;
-        this->mDevice = device;
-        this->mCommandBuffer = commandBuffer;
-        this->mTensors = tensors;
-        this->mFreeTensors = freeTensors;
-    }
-
-    /**
-     * Default destructor for OpBase class. This OpBase destructor class should
-     * always be called to destroy and free owned resources unless it is
-     * intended to destroy the resources in the parent class. This can be done
-     * by passing the mFreeTensors=false.
-     */
-    virtual ~OpBase()
-    {
-        SPDLOG_DEBUG("Kompute OpBase destructor started");
-
-        if (!this->mDevice) {
-            SPDLOG_WARN("Kompute OpBase destructor called with empty device");
-            return;
-        }
-
-        if (this->mFreeTensors) {
-            SPDLOG_DEBUG("Kompute OpBase freeing tensors");
-            for (std::shared_ptr<Tensor> tensor : this->mTensors) {
-                if (tensor && tensor->isInit()) {
-                    tensor->freeMemoryDestroyGPUResources();
-                } else {
-                    SPDLOG_ERROR("Kompute OpBase expected to free "
-                                  "tensor but has already been freed.");
-                }
-            }
-        }
-    }
-
-    /**
-     * The init function is responsible for setting up all the resources and
-     * should be called after the Operation has been created.
-     */
-    virtual void init() = 0;
-
-    /**
-     * The record function is intended to only send a record command or run
-     * commands that are expected to record operations that are to be submitted
-     * as a batch into the GPU.
-     */
-    virtual void record() = 0;
-
-    /**
-     * Pre eval is called before the Sequence has called eval and submitted the commands to
-     * the GPU for processing, and can be used to perform any per-eval setup steps
-     * required as the computation iteration begins. It's worth noting that 
-     * there are situations where eval can be called multiple times, so the 
-     * resources that are created should be idempotent in case it's called multiple
-     * times in a row.
-     */
-    virtual void preEval() = 0;
-
-    /**
-     * Post eval is called after the Sequence has called eval and submitted the commands to
-     * the GPU for processing, and can be used to perform any tear-down steps
-     * required as the computation iteration finishes. It's worth noting that 
-     * there are situations where eval can be called multiple times, so the 
-     * resources that are destroyed should not require a re-init unless explicitly
-     * provided by the user.
-     */
-    virtual void postEval() = 0;
-
-  protected:
-    // -------------- NEVER OWNED RESOURCES
-    std::shared_ptr<vk::PhysicalDevice>
-      mPhysicalDevice;                   ///< Vulkan Physical Device
-    std::shared_ptr<vk::Device> mDevice; ///< Vulkan Logical Device
-    std::shared_ptr<vk::CommandBuffer>
-      mCommandBuffer; ///< Vulkan Command Buffer
-
-    // -------------- OPTIONALLY OWNED RESOURCES
-    std::vector<std::shared_ptr<Tensor>>
-      mTensors; ///< Tensors referenced by operation that can be managed
-                ///< optionally by operation
-    bool mFreeTensors = false; ///< Explicit boolean that specifies whether the
-                               ///< tensors are freed (if they are managed)
-};
-
-} // End namespace kp
-
-namespace kp {
-
-/**
- *  Container of operations that can be sent to GPU as batch
- */
-class Sequence
-{
-  public:
-    /**
-     *  Base constructor for Sequence. Should not be used unless explicit
-     * intended.
-     */
-    Sequence();
-    /**
-     * Main constructor for sequence which requires core vulkan components to
-     * generate all dependent resources.
-     *
-     * @param physicalDevice Vulkan physical device
-     * @param device Vulkan logical device
-     * @param computeQueue Vulkan compute queue
-     * @param queueIndex Vulkan compute queue index in device
-     */
-    Sequence(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-             std::shared_ptr<vk::Device> device,
-             std::shared_ptr<vk::Queue> computeQueue,
-             uint32_t queueIndex);
-    /**
-     * Destructor for sequence which is responsible for cleaning all subsequent
-     * owned operations.
-     */
-    ~Sequence();
-
-    /**
-     * Initialises sequence including the creation of the command pool and the
-     * command buffer.
-     */
-    void init();
-
-    /**
-     * Begins recording commands for commands to be submitted into the command
-     * buffer.
-     *
-     * @return Boolean stating whether execution was successful.
-     */
-    bool begin();
-
-    /**
-     * Ends the recording and stops recording commands when the record command
-     * is sent.
-     *
-     * @return Boolean stating whether execution was successful.
-     */
-    bool end();
-
-    /**
-     * Eval sends all the recorded and stored operations in the vector of
-     * operations into the gpu as a submit job with a barrier.
-     *
-     * @return Boolean stating whether execution was successful.
-     */
-    bool eval();
-
-    /**
-     * Eval Async sends all the recorded and stored operations in the vector of
-     * operations into the gpu as a submit job with a barrier. EvalAwait() must
-     * be called after to ensure the sequence is terminated correctly.
-     *
-     * @return Boolean stating whether execution was successful.
-     */
-    bool evalAsync();
-
-    /**
-     * Eval Await waits for the fence to finish processing and then once it
-     * finishes, it runs the postEval of all operations.
-     *
-     * @param waitFor Number of milliseconds to wait before timing out.
-     * @return Boolean stating whether execution was successful.
-     */
-    bool evalAwait(uint64_t waitFor = UINT64_MAX);
-
-    /**
-     * Returns true if the sequence is currently in recording activated.
-     *
-     * @return Boolean stating if recording ongoing.
-     */
-    bool isRecording();
-
-    /**
-     * Returns true if the sequence is currently running - mostly used for async
-     * workloads.
-     *
-     * @return Boolean stating if currently running.
-     */
-    bool isRunning();
-
-    /**
-     * Returns true if the sequence has been successfully initialised.
-     *
-     * @return Boolean stating if sequence has been initialised.
-     */
-    bool isInit();
-
-    /**
-     * Destroys and frees the GPU resources which include the buffer and memory
-     * and sets the sequence as init=False.
-     */
-    void freeMemoryDestroyGPUResources();
-
-    /**
-     * Record function for operation to be added to the GPU queue in batch. This
-     * template requires classes to be derived from the OpBase class. This
-     * function also requires the Sequence to be recording, otherwise it will
-     * not be able to add the operation.
-     *
-     * @param tensors Vector of tensors to use for the operation
-     * @param TArgs Template parameters that are used to initialise operation
-     * which allows for extensible configurations on initialisation.
-     */
-    template<typename T, typename... TArgs>
-    bool record(std::vector<std::shared_ptr<Tensor>> tensors, TArgs&&... params)
-    {
-        static_assert(std::is_base_of<OpBase, T>::value,
-                      "Kompute Sequence record(...) template only valid with "
-                      "OpBase derived classes");
-
-        SPDLOG_DEBUG("Kompute Sequence record function started");
-
-        if (!this->isRecording()) {
-            SPDLOG_ERROR(
-              "Kompute sequence record attempted when not record BEGIN");
-            return false;
-        }
-
-        SPDLOG_DEBUG("Kompute Sequence creating OpBase derived class instance");
-        T* op = new T(this->mPhysicalDevice,
-                      this->mDevice,
-                      this->mCommandBuffer,
-                      tensors,
-                      std::forward<TArgs>(params)...);
-
-        OpBase* baseOp = dynamic_cast<OpBase*>(op);
-
-        std::unique_ptr<OpBase> baseOpPtr{ baseOp };
-
-        SPDLOG_DEBUG(
-          "Kompute Sequence running init on OpBase derived class instance");
-        baseOpPtr->init();
-
-        SPDLOG_DEBUG(
-          "Kompute Sequence running record on OpBase derived class instance");
-        baseOpPtr->record();
-
-        mOperations.push_back(std::move(baseOpPtr));
-
-        return true;
-    }
-
-  private:
-    // -------------- NEVER OWNED RESOURCES
-    std::shared_ptr<vk::PhysicalDevice> mPhysicalDevice = nullptr;
-    std::shared_ptr<vk::Device> mDevice = nullptr;
-    std::shared_ptr<vk::Queue> mComputeQueue = nullptr;
-    uint32_t mQueueIndex = -1;
-
-    // -------------- OPTIONALLY OWNED RESOURCES
-    std::shared_ptr<vk::CommandPool> mCommandPool = nullptr;
-    bool mFreeCommandPool = false;
-    std::shared_ptr<vk::CommandBuffer> mCommandBuffer = nullptr;
-    bool mFreeCommandBuffer = false;
-
-    // -------------- ALWAYS OWNED RESOURCES
-    vk::Fence mFence;
-    std::vector<std::unique_ptr<OpBase>> mOperations;
-
-    // State
-    bool mIsInit = false;
-    bool mRecording = false;
-    bool mIsRunning = false;
-
-    // Create functions
-    void createCommandPool();
-    void createCommandBuffer();
-};
-
-} // End namespace kp
-
-namespace kp {
-
-/**
-    Operation that creates tensor and manages the memory of the components
-   created
-*/
-class OpTensorCreate : public OpBase
-{
-  public:
-    OpTensorCreate();
-
-    /**
-     * Default constructor with parameters that provides the bare minimum
-     * requirements for the operations to be able to create and manage their
-     * sub-components.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that will be used to create in operation.
-     * @param freeTensors Whether operation manages the memory of the Tensors
-     */
-    OpTensorCreate(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-                   std::shared_ptr<vk::Device> device,
-                   std::shared_ptr<vk::CommandBuffer> commandBuffer,
-                   std::vector<std::shared_ptr<Tensor>> tensors);
-
-    /**
-     * Default destructor which in this case expects the parent class to free
-     * the tensors
-     */
-    ~OpTensorCreate() override;
-
-    /**
-     * In charge of initialising the primary Tensor as well as the staging
-     * tensor as required. It will only initialise a staging tensor if the
-     * Primary tensor is of type Device. For staging tensors it performs a 
-     * mapDataIntoHostMemory which would perform immediately as opposed to 
-     * on sequence eval/submission.
-     */
-    void init() override;
-
-    /**
-     * Record runs the core actions to create the tensors. For device tensors
-     * it records a copyCommand to move the data from the staging tensor to the 
-     * device tensor. The mapping for staging tensors happens in the init function
-     * not in the record function.
-     */
-    void record() override;
-
-    /**
-     * Does not perform any preEval commands.
-     */
-    virtual void preEval() override;
-
-    /**
-     * Performs a copy back into the main tensor to ensure that the data
-     * contained is the one that is now being stored in the GPU.
-     */
-    virtual void postEval() override;
-
-  private:
-    // Never owned resources
-    std::vector<std::shared_ptr<Tensor>> mStagingTensors;
-};
-
-} // End namespace kp
-
-#define KP_DEFAULT_SESSION "DEFAULT"
-
-namespace kp {
-
-/**
-    Base orchestrator which creates and manages device and child components
-*/
-class Manager
-{
-  public:
-    /**
-        Base constructor and default used which creates the base resources
-       including choosing the device 0 by default.
-    */
-    Manager();
-
-    /**
-     * Similar to base constructor but allows the user to provide the device
-     * they would like to create the resources on.
-     *
-     * @param physicalDeviceIndex The index of the physical device to use
-     * @param familyQueueIndices (Optional) List of queue indices to add for
-     * explicit allocation
-     * @param totalQueues The total number of compute queues to create.
-     */
-    Manager(uint32_t physicalDeviceIndex,
-            const std::vector<uint32_t>& familyQueueIndices = {});
-
-    /**
-     * Manager constructor which allows your own vulkan application to integrate
-     * with the vulkan kompute use.
-     *
-     * @param instance Vulkan compute instance to base this application
-     * @param physicalDevice Vulkan physical device to use for application
-     * @param device Vulkan logical device to use for all base resources
-     * @param physicalDeviceIndex Index for vulkan physical device used
-     */
-    Manager(std::shared_ptr<vk::Instance> instance,
-            std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-            std::shared_ptr<vk::Device> device,
-            uint32_t physicalDeviceIndex);
-
-    /**
-     * Manager destructor which would ensure all owned resources are destroyed
-     * unless explicitly stated that resources should not be destroyed or freed.
-     */
-    ~Manager();
-
-    /**
-     * Get or create a managed Sequence that will be contained by this manager.
-     * If the named sequence does not currently exist, it would be created and
-     * initialised.
-     *
-     * @param sequenceName The name for the named sequence to be retrieved or
-     * created
-     * @return Shared pointer to the manager owned sequence resource
-     */
-    std::shared_ptr<Sequence> getOrCreateManagedSequence(
-      std::string sequenceName);
-
-    /**
-     * Create a new managed Kompute sequence so it's available within the
-     * manager.
-     *
-     * @param sequenceName The name for the named sequence to be created, if
-     * empty then default indexed value is used
-     * @param queueIndex The queue to use from the available queues
-     * @return Weak pointer to the manager owned sequence resource
-     */
-    std::shared_ptr<Sequence> createManagedSequence(
-      std::string sequenceName = "",
-      uint32_t queueIndex = 0);
-
-    /**
-     * Function that evaluates operation against named sequence.
-     *
-     * @param tensors The tensors to be used in the operation recorded
-     * @param sequenceName The name of the sequence to be retrieved or created
-     * @param TArgs Template parameters that will be used to initialise
-     * Operation to allow for extensible configurations on initialisation
-     */
-    template<typename T, typename... TArgs>
-    void evalOp(std::vector<std::shared_ptr<Tensor>> tensors,
-                std::string sequenceName,
-                TArgs&&... params)
-    {
-        SPDLOG_DEBUG("Kompute Manager evalOp triggered");
-        std::shared_ptr<kp::Sequence> sq =
-          this->getOrCreateManagedSequence(sequenceName);
-
-        SPDLOG_DEBUG("Kompute Manager evalOp running sequence BEGIN");
-        sq->begin();
-
-        SPDLOG_DEBUG("Kompute Manager evalOp running sequence RECORD");
-        sq->record<T>(tensors, std::forward<TArgs>(params)...);
-
-        SPDLOG_DEBUG("Kompute Manager evalOp running sequence END");
-        sq->end();
-
-        SPDLOG_DEBUG("Kompute Manager evalOp running sequence EVAL");
-        sq->eval();
-
-        SPDLOG_DEBUG("Kompute Manager evalOp running sequence SUCCESS");
-    }
-
-    /**
-     * Function that evaluates operation against a newly created sequence.
-     *
-     * @param tensors The tensors to be used in the operation recorded
-     * @param TArgs Template parameters that will be used to initialise
-     * Operation to allow for extensible configurations on initialisation
-     */
-    template<typename T, typename... TArgs>
-    void evalOpDefault(std::vector<std::shared_ptr<Tensor>> tensors,
-                       TArgs&&... params)
-    {
-        SPDLOG_DEBUG("Kompute Manager evalOp Default triggered");
-        this->mCurrentSequenceIndex++;
-        this->evalOp<T>(tensors,
-                        KP_DEFAULT_SESSION +
-                          std::to_string(this->mCurrentSequenceIndex),
-                        std::forward<TArgs>(params)...);
-    }
-
-    /**
-     * Function that evaluates operation against named sequence asynchronously.
-     *
-     * @param tensors The tensors to be used in the operation recorded
-     * @param sequenceName The name of the sequence to be retrieved or created
-     * @param params Template parameters that will be used to initialise
-     * Operation to allow for extensible configurations on initialisation
-     */
-    template<typename T, typename... TArgs>
-    void evalOpAsync(std::vector<std::shared_ptr<Tensor>> tensors,
-                     std::string sequenceName,
-                     TArgs&&... params)
-    {
-        SPDLOG_DEBUG("Kompute Manager evalOpAsync triggered");
-
-        std::shared_ptr<kp::Sequence> sq =
-          this->getOrCreateManagedSequence(sequenceName);
-
-        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence BEGIN");
-        sq->begin();
-
-        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence RECORD");
-        sq->record<T>(tensors, std::forward<TArgs>(params)...);
-
-        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence END");
-        sq->end();
-
-        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence EVAL");
-        sq->evalAsync();
-
-        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence SUCCESS");
-    }
-
-    /**
-     * Operation that evaluates operation against default sequence
-     * asynchronously.
-     *
-     * @param tensors The tensors to be used in the operation recorded
-     * @param params Template parameters that will be used to initialise
-     * Operation to allow for extensible configurations on initialisation
-     */
-    template<typename T, typename... TArgs>
-    void evalOpAsyncDefault(std::vector<std::shared_ptr<Tensor>> tensors,
-                            TArgs&&... params)
-    {
-        SPDLOG_DEBUG("Kompute Manager evalOpAsyncDefault triggered");
-        this->mCurrentSequenceIndex++;
-        this->evalOpAsync<T>(tensors,
-                             KP_DEFAULT_SESSION +
-                               std::to_string(this->mCurrentSequenceIndex),
-                             std::forward<TArgs>(params)...);
-    }
-
-    /**
-     * Operation that awaits for named sequence to finish.
-     *
-     * @param sequenceName The name of the sequence to wait for termination
-     * @param waitFor The amount of time to wait before timing out
-     */
-    void evalOpAwait(std::string sequenceName, uint64_t waitFor = UINT64_MAX)
-    {
-        SPDLOG_DEBUG("Kompute Manager evalOpAwait triggered with sequence {}",
-                     sequenceName);
-        std::unordered_map<std::string, std::shared_ptr<Sequence>>::iterator
-          found = this->mManagedSequences.find(sequenceName);
-
-        if (found != this->mManagedSequences.end()) {
-            if (std::shared_ptr<kp::Sequence> sq = found->second) {
-                SPDLOG_DEBUG("Kompute Manager evalOpAwait running sequence "
-                             "Sequence EVAL AWAIT");
-                if (sq->isRunning()) {
-                    sq->evalAwait(waitFor);
-                }
-            }
-            SPDLOG_DEBUG(
-              "Kompute Manager evalOpAwait running sequence SUCCESS");
-        } else {
-            SPDLOG_ERROR("Kompute Manager evalOpAwait Sequence not found");
-        }
-    }
-
-    /**
-     * Operation that awaits for default sequence to finish.
-     *
-     * @param tensors The tensors to be used in the operation recorded
-     * @param params Template parameters that will be used to initialise
-     * Operation to allow for extensible configurations on initialisation
-     */
-    void evalOpAwaitDefault(uint64_t waitFor = UINT64_MAX)
-    {
-        SPDLOG_DEBUG("Kompute Manager evalOpAwaitDefault triggered");
-        this->evalOpAwait(KP_DEFAULT_SESSION +
-                            std::to_string(this->mCurrentSequenceIndex),
-                          waitFor);
-    }
-
-    /**
-     * Function that simplifies the common workflow of tensor creation and
-     * initialization. It will take the constructor parameters for a Tensor
-     * and will will us it to create a new Tensor and then create it using
-     * the OpCreateTensor command.
-     *
-     * @param data The data to initialize the tensor with
-     * @param tensorType The type of tensor to initialize
-     * @returns Initialized Tensor with memory Syncd to GPU device
-     */
-    std::shared_ptr<Tensor> buildTensor(
-      const std::vector<float>& data,
-      Tensor::TensorTypes tensorType = Tensor::TensorTypes::eDevice)
-    {
-        SPDLOG_DEBUG("Kompute Manager createInitTensor triggered");
-
-        SPDLOG_DEBUG("Kompute Manager creating new tensor shared ptr");
-        std::shared_ptr<Tensor> tensor =
-          std::make_shared<Tensor>(kp::Tensor(data, tensorType));
-
-        this->evalOpDefault<OpTensorCreate>({ tensor });
-
-        return tensor;
-    }
-
-  private:
-    // -------------- OPTIONALLY OWNED RESOURCES
-    std::shared_ptr<vk::Instance> mInstance = nullptr;
-    bool mFreeInstance = false;
-    std::shared_ptr<vk::PhysicalDevice> mPhysicalDevice = nullptr;
-    uint32_t mPhysicalDeviceIndex = -1;
-    std::shared_ptr<vk::Device> mDevice = nullptr;
-    bool mFreeDevice = false;
-
-    // -------------- ALWAYS OWNED RESOURCES
-    std::unordered_map<std::string, std::shared_ptr<Sequence>>
-      mManagedSequences;
-
-    std::vector<uint32_t> mComputeQueueFamilyIndices;
-    std::vector<std::shared_ptr<vk::Queue>> mComputeQueues;
-
-    uint32_t mCurrentSequenceIndex = -1;
-
-#if DEBUG
-#ifndef KOMPUTE_DISABLE_VK_DEBUG_LAYERS
-    vk::DebugReportCallbackEXT mDebugReportCallback;
-    vk::DispatchLoaderDynamic mDebugDispatcher;
-#endif
-#endif
-
-    // Create functions
-    void createInstance();
-    void createDevice(const std::vector<uint32_t>& familyQueueIndices = {});
-};
-
-} // End namespace kp
-
-#include <fstream>
-
-namespace kp {
-
-/**
-    Abstraction for compute shaders that are run on top of tensors grouped via
-   ParameterGroups (which group descriptorsets)
-*/
-class Algorithm
-{
-  public:
-    /**
-        Base constructor for Algorithm. Should not be used unless explicit
-       intended.
-    */
-    Algorithm();
-
-    /**
-     *  Default constructor for Algorithm
-     *
-     *  @param device The Vulkan device to use for creating resources
-     *  @param commandBuffer The vulkan command buffer to bind the pipeline and
-     * shaders
-     */
-    Algorithm(std::shared_ptr<vk::Device> device,
-              std::shared_ptr<vk::CommandBuffer> commandBuffer);
-
-    /**
-     * Initialiser for the shader data provided to the algorithm as well as
-     * tensor parameters that will be used in shader.
-     *
-     * @param shaderFileData The bytes in spir-v format of the shader
-     * @tensorParams The Tensors to be used in the Algorithm / shader for
-     * processing
-     */
-    void init(const std::vector<char>& shaderFileData,
-              std::vector<std::shared_ptr<Tensor>> tensorParams);
-
-    /**
-     * Destructor for Algorithm which is responsible for freeing and desroying
-     * respective pipelines and owned parameter groups.
-     */
-    ~Algorithm();
-
-    /**
-     * Records the dispatch function with the provided template parameters or
-     * alternatively using the size of the tensor by default.
-     *
-     * @param x Layout X dispatch value
-     * @param y Layout Y dispatch value
-     * @param z Layout Z dispatch value
-     */
-    void recordDispatch(uint32_t x = 1, uint32_t y = 1, uint32_t z = 1);
-
-  private:
-    // -------------- NEVER OWNED RESOURCES
-    std::shared_ptr<vk::Device> mDevice;
-    std::shared_ptr<vk::CommandBuffer> mCommandBuffer;
-
-    // -------------- OPTIONALLY OWNED RESOURCES
-    std::shared_ptr<vk::DescriptorSetLayout> mDescriptorSetLayout;
-    bool mFreeDescriptorSetLayout = false;
-    std::shared_ptr<vk::DescriptorPool> mDescriptorPool;
-    bool mFreeDescriptorPool = false;
-    std::shared_ptr<vk::DescriptorSet> mDescriptorSet;
-    bool mFreeDescriptorSet = false;
-    std::shared_ptr<vk::ShaderModule> mShaderModule;
-    bool mFreeShaderModule = false;
-    std::shared_ptr<vk::PipelineLayout> mPipelineLayout;
-    bool mFreePipelineLayout = false;
-    std::shared_ptr<vk::PipelineCache> mPipelineCache;
-    bool mFreePipelineCache = false;
-    std::shared_ptr<vk::Pipeline> mPipeline;
-    bool mFreePipeline = false;
-
-    // Create util functions
-    void createShaderModule(const std::vector<char>& shaderFileData);
-    void createPipeline(std::vector<uint32_t> specializationData = {});
-
-    // Parameters
-    void createParameters(std::vector<std::shared_ptr<Tensor>>& tensorParams);
-    void createDescriptorPool();
-};
-
-} // End namespace kp
-
-namespace kp {
-
-/**
- * Operation that provides a general abstraction that simplifies the use of 
- * algorithm and parameter components which can be used with shaders.
- * By default it enables the user to provide a dynamic number of tensors
- * which are then passed as inputs.
- */
-class OpAlgoBase : public OpBase
-{
-  public:
-    struct KomputeWorkgroup {
-        uint32_t x;
-        uint32_t y;
-        uint32_t z;
-    };
-
-    /**
-     *  Base constructor, should not be used unless explicitly intended.
-     */
-    OpAlgoBase();
-
-    /**
-     * Default constructor with parameters that provides the bare minimum
-     * requirements for the operations to be able to create and manage their
-     * sub-components.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that are to be used in this operation
-     * @param shaderFilePath Optional parameter to specify the shader to load (either in spirv or raw format)
-     * @param komputeWorkgroup Optional parameter to specify the layout for processing
-     */
-    OpAlgoBase(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-           std::shared_ptr<vk::Device> device,
-           std::shared_ptr<vk::CommandBuffer> commandBuffer,
-           std::vector<std::shared_ptr<Tensor>>& tensors,
-           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup());
-
-    /**
-     * Constructor that enables a file to be passed to the operation with
-     * the contents of the shader. This can be either in raw format or in
-     * compiled SPIR-V binary format.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that are to be used in this operation
-     * @param shaderFilePath Parameter to specify the shader to load (either in spirv or raw format)
-     * @param komputeWorkgroup Optional parameter to specify the layout for processing
-     */
-    OpAlgoBase(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-           std::shared_ptr<vk::Device> device,
-           std::shared_ptr<vk::CommandBuffer> commandBuffer,
-           std::vector<std::shared_ptr<Tensor>>& tensors,
-           std::string shaderFilePath,
-           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup());
-
-    /**
-     * Constructor that enables raw shader data to be passed to the main operation
-     * which can be either in raw shader glsl code or in compiled SPIR-V binary.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that are to be used in this operation
-     * @param shaderDataRaw Optional parameter to specify the shader data either in binary or raw form
-     * @param komputeWorkgroup Optional parameter to specify the layout for processing
-     */
-    OpAlgoBase(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-           std::shared_ptr<vk::Device> device,
-           std::shared_ptr<vk::CommandBuffer> commandBuffer,
-           std::vector<std::shared_ptr<Tensor>>& tensors,
-           const std::vector<char>& shaderDataRaw,
-           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup());
-
-    /**
-     * Default destructor, which is in charge of destroying the algorithm
-     * components but does not destroy the underlying tensors
-     */
-    virtual ~OpAlgoBase() override;
-
-    /**
-     * The init function is responsible for the initialisation of the algorithm
-     * component based on the parameters specified, and allows for extensibility
-     * on the options provided. Further dependent classes can perform more 
-     * specific checks such as ensuring tensors provided are initialised, etc.
-     */
-    virtual void init() override;
-
-    /**
-     * This records the commands that are to be sent to the GPU. This includes
-     * the barriers that ensure the memory has been copied before going in and
-     * out of the shader, as well as the dispatch operation that sends the
-     * shader processing to the gpu. This function also records the GPU memory
-     * copy of the output data for the staging buffer so it can be read by the
-     * host.
-     */
-    virtual void record() override;
-
-    /**
-     * Does not perform any preEval commands.
-     */
-    virtual void preEval() override;
-
-    /**
-     * Executes after the recorded commands are submitted, and performs a copy
-     * of the GPU Device memory into the staging buffer so the output data can
-     * be retrieved.
-     */
-    virtual void postEval() override;
-
-  protected:
-    // -------------- NEVER OWNED RESOURCES
-
-    // -------------- OPTIONALLY OWNED RESOURCES
-    std::shared_ptr<Algorithm> mAlgorithm;
-    bool mFreeAlgorithm = false;
-
-    // -------------- ALWAYS OWNED RESOURCES
-
-    KomputeWorkgroup mKomputeWorkgroup;
-
-    std::string mShaderFilePath; ///< Optional member variable which can be provided for the OpAlgoBase to find the data automatically and load for processing
-    std::vector<char> mShaderDataRaw; ///< Optional member variable which can be provided to contain either the raw shader content or the spirv binary content
-
-    virtual std::vector<char> fetchSpirvBinaryData();
-};
-
-} // End namespace kp
-
-#include <fstream>
-
-namespace kp {
-
-/**
- * Operation base class to simplify the creation of operations that require
- * right hand and left hand side datapoints together with a single output.
- * The expected data passed is two input tensors and one output tensor.
- */
-class OpAlgoLhsRhsOut : public OpAlgoBase
-{
-  public:
-    /**
-     *  Base constructor, should not be used unless explicitly intended.
-     */
-    OpAlgoLhsRhsOut();
-
-    /**
-     * Default constructor with parameters that provides the bare minimum
-     * requirements for the operations to be able to create and manage their
-     * sub-components.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that are to be used in this operation
-     * @param freeTensors Whether operation manages the memory of the Tensors
-     * @param komputeWorkgroup Optional parameter to specify the layout for processing
-     */
-    OpAlgoLhsRhsOut(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-           std::shared_ptr<vk::Device> device,
-           std::shared_ptr<vk::CommandBuffer> commandBuffer,
-           std::vector<std::shared_ptr<Tensor>> tensors,
-           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup());
-
-    /**
-     * Default destructor, which is in charge of destroying the algorithm
-     * components but does not destroy the underlying tensors
-     */
-    virtual ~OpAlgoLhsRhsOut() override;
-
-    /**
-     * The init function is responsible for ensuring that all of the tensors
-     * provided are aligned with requirements such as LHS, RHS and Output
-     * tensors, and  creates the algorithm component which processes the
-     * computation.
-     */
-    virtual void init() override;
-
-    /**
-     * This records the commands that are to be sent to the GPU. This includes
-     * the barriers that ensure the memory has been copied before going in and
-     * out of the shader, as well as the dispatch operation that sends the
-     * shader processing to the gpu. This function also records the GPU memory
-     * copy of the output data for the staging buffer so it can be read by the
-     * host.
-     */
-    virtual void record() override;
-
-    /**
-     * Executes after the recorded commands are submitted, and performs a copy
-     * of the GPU Device memory into the staging buffer so the output data can
-     * be retrieved.
-     */
-    virtual void postEval() override;
-
-  protected:
-    // -------------- NEVER OWNED RESOURCES
-    std::shared_ptr<Tensor> mTensorLHS; ///< Reference to the parameter used in the left hand side equation of the shader
-    std::shared_ptr<Tensor> mTensorRHS; ///< Reference to the parameter used in the right hand side equation of the shader
-    std::shared_ptr<Tensor> mTensorOutput; ///< Reference to the parameter used in the output of the shader and will be copied with a staging vector
-
-    // -------------- ALWAYS OWNED RESOURCES
-    std::shared_ptr<Tensor> mTensorOutputStaging; ///< Staging temporary tensor user do to copy the output of the tensor
-};
-
-} // End namespace kp
-
-#include <fstream>
-
-#if RELEASE
-
-#endif
-
-namespace kp {
-
-/**
- * Operation that performs multiplication on two tensors and outpus on third
- * tensor.
- */
-class OpMult : public OpAlgoBase
-{
-  public:
-    /**
-     *  Base constructor, should not be used unless explicitly intended.
-     */
-    OpMult() {
-
-    }
-
-    /**
-     * Default constructor with parameters that provides the bare minimum
-     * requirements for the operations to be able to create and manage their
-     * sub-components.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that are to be used in this operation
-     * @param komputeWorkgroup Optional parameter to specify the layout for processing
-     */
-    OpMult(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-           std::shared_ptr<vk::Device> device,
-           std::shared_ptr<vk::CommandBuffer> commandBuffer,
-           std::vector<std::shared_ptr<Tensor>> tensors,
-           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup())
-      : OpAlgoBase(physicalDevice, device, commandBuffer, tensors, "", komputeWorkgroup)
-    {
-        SPDLOG_DEBUG("Kompute OpMult constructor with params");
-
-#ifndef RELEASE
-        this->mShaderFilePath = "shaders/glsl/opmult.comp";
-#endif
-    }
-
-#if RELEASE
-    /**
-     * If RELEASE=1 it will be using the static version of the shader which is 
-     * loaded using this file directly. Otherwise it should not override the function.
-     */
-    std::vector<char> fetchSpirvBinaryData() override
-    {
-        SPDLOG_WARN(
-          "Kompute OpMult Running shaders directly from header");
-
-        return std::vector<char>(
-          shader_data::shaders_glsl_opmult_comp_spv,
-          shader_data::shaders_glsl_opmult_comp_spv +
-            kp::shader_data::shaders_glsl_opmult_comp_spv_len);
-
-    }
-#endif
-
-    /**
-     * Default destructor, which is in charge of destroying the algorithm
-     * components but does not destroy the underlying tensors
-     */
-    ~OpMult() override {
-        SPDLOG_DEBUG("Kompute OpMult destructor started");
-    }
-
-};
-
-} // End namespace kp
-
-namespace kp {
-
-/**
-    Operation that copies the data from the first tensor to the rest of the tensors provided, using a record command for all the vectors. This operation does not own/manage the memory of the tensors passed to it. The operation must only receive tensors of type 
-*/
-class OpTensorCopy : public OpBase
-{
-  public:
-    OpTensorCopy();
-
-    /**
-     * Default constructor with parameters that provides the core vulkan resources and the tensors that will be used in the operation.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that will be used to create in operation.
-     */
-    OpTensorCopy(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-                   std::shared_ptr<vk::Device> device,
-                   std::shared_ptr<vk::CommandBuffer> commandBuffer,
-                   std::vector<std::shared_ptr<Tensor>> tensors);
-
-    /**
-     * Default destructor. This class does not manage memory so it won't be expecting the parent to perform a release.
-     */
-    ~OpTensorCopy() override;
-
-    /**
-     * Performs basic checks such as ensuring there are at least two tensors provided, that they are initialised and that they are not of type TensorTypes::eStorage.
-     */
-    void init() override;
-
-    /**
-     * Records the copy commands from the first tensor into all the other tensors provided. Also optionally records a barrier.
-     */
-    void record() override;
-
-    /**
-     * Does not perform any preEval commands.
-     */
-    virtual void preEval() override;
-
-    /**
-     * Copies the local vectors for all the tensors to sync the data with the gpu.
-     */
-    virtual void postEval() override;
-
-  private:
-};
-
-} // End namespace kp
-
-namespace kp {
-
-/**
-    Operation that syncs tensor's device by mapping local data into the device memory. For TensorTypes::eDevice it will use a staging tensor to perform the copy. For TensorTypes::eStaging it will only copy the data and perform a map, which will be executed during the record (as opposed to during the sequence eval/submit). This function cannot be carried out for TensorTypes::eStaging.
-*/
-class OpTensorSyncDevice : public OpBase
-{
-  public:
-    OpTensorSyncDevice();
-
-    /**
-     * Default constructor with parameters that provides the core vulkan resources and the tensors that will be used in the operation. The tensos provided cannot be of type TensorTypes::eStorage.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that will be used to create in operation.
-     */
-    OpTensorSyncDevice(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-                   std::shared_ptr<vk::Device> device,
-                   std::shared_ptr<vk::CommandBuffer> commandBuffer,
-                   std::vector<std::shared_ptr<Tensor>> tensors);
-
-    /**
-     * Default destructor. This class does not manage memory so it won't be expecting the parent to perform a release.
-     */
-    ~OpTensorSyncDevice() override;
-
-    /**
-     * Performs basic checks such as ensuring that there is at least one tensor provided, that they are initialized and that they are not of type TensorTpes::eStaging. For staging tensors in host memory, the map is performed during the init function.
-     */
-    void init() override;
-
-    /**
-     * For device tensors, it records the copy command to the device tensor from the temporary staging tensor.
-     */
-    void record() override;
-
-    /**
-     * Does not perform any preEval commands.
-     */
-    virtual void preEval() override;
-
-    /**
-     * Does not perform any postEval commands.
-     */
-    virtual void postEval() override;
-
-  private:
-    // Never owned resources
-    std::vector<std::shared_ptr<Tensor>> mStagingTensors;
-};
-
-} // End namespace kp
-
-namespace kp {
-
-/**
-    Operation that syncs tensor's local data by mapping the data from device memory into the local vector. For TensorTypes::eDevice it will use a staging tensor to perform the copy. For TensorTypes::eStaging it will only copy the data and perform a map, which will be executed during the postSubmit (there will be no copy during the sequence eval/submit). This function cannot be carried out for TensorTypes::eStaging.
-*/
-class OpTensorSyncLocal : public OpBase
-{
-  public:
-    OpTensorSyncLocal();
-
-    /**
-     * Default constructor with parameters that provides the core vulkan resources and the tensors that will be used in the operation. The tensors provided cannot be of type TensorTypes::eStorage.
-     *
-     * @param physicalDevice Vulkan physical device used to find device queues
-     * @param device Vulkan logical device for passing to Algorithm
-     * @param commandBuffer Vulkan Command Buffer to record commands into
-     * @param tensors Tensors that will be used to create in operation.
-     */
-    OpTensorSyncLocal(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
-                   std::shared_ptr<vk::Device> device,
-                   std::shared_ptr<vk::CommandBuffer> commandBuffer,
-                   std::vector<std::shared_ptr<Tensor>> tensors);
-
-    /**
-     * Default destructor. This class manages the memory of the staging tensors it owns but these are released in the postSubmit, before it arrives to the destructor.
-     */
-    ~OpTensorSyncLocal() override;
-
-    /**
-     * Performs basic checks such as ensuring that there is at least one tensor provided, that they are initialized and that they are not of type TensorTpes::eStaging.
-     */
-    void init() override;
-
-    /**
-     * For device tensors, it records the copy command into the staging tensor from the device tensor.
-     */
-    void record() override;
-
-    /**
-     * Does not perform any preEval commands.
-     */
-    virtual void preEval() override;
-
-    /**
-     * For host tensors it performs the map command from the host memory into local memory.
-     */
-    virtual void postEval() override;
-
-  private:
-    // Never owned resources
-    std::vector<std::shared_ptr<Tensor>> mStagingTensors;
-};
-
-} // End namespace kp
+#pragma once
+
+#ifdef VK_USE_PLATFORM_ANDROID_KHR
+#include <android/log.h>
+#include <kompute_vk_ndk_wrapper.hpp>
+// VK_NO_PROTOTYPES required before vulkan import but after wrapper.hpp
+#undef VK_NO_PROTOTYPES
+static const char* KOMPUTE_LOG_TAG = "KomputeLog";
+#endif
+
+#include <vulkan/vulkan.hpp>
+
+// Must be after vulkan is included
+#ifndef KOMPUTE_VK_API_VERSION
+#ifndef KOMPUTE_VK_API_MAJOR_VERSION
+#define KOMPUTE_VK_API_MAJOR_VERSION 1
+#endif // KOMPUTE_VK_API_MAJOR_VERSION
+#ifndef KOMPUTE_VK_API_MINOR_VERSION
+#define KOMPUTE_VK_API_MINOR_VERSION 1
+#endif // KOMPUTE_VK_API_MINOR_VERSION
+#define KOMPUTE_VK_API_VERSION                                                 \
+    VK_MAKE_VERSION(                                                           \
+      KOMPUTE_VK_API_MAJOR_VERSION, KOMPUTE_VK_API_MINOR_VERSION, 0)
+#endif // KOMPUTE_VK_API_VERSION
+
+// SPDLOG_ACTIVE_LEVEL must be defined before spdlog.h import
+#ifndef SPDLOG_ACTIVE_LEVEL
+#if DEBUG
+#define SPDLOG_ACTIVE_LEVEL SPDLOG_LEVEL_DEBUG
+#else
+#define SPDLOG_ACTIVE_LEVEL SPDLOG_LEVEL_INFO
+#endif
+#endif
+
+#if defined(KOMPUTE_BUILD_PYTHON)
+    #include <pybind11/pybind11.h>
+    namespace py = pybind11;
+    //from python/src/main.cpp
+    extern py::object kp_debug, kp_info, kp_warning, kp_error;
+#endif
+
+#ifndef KOMPUTE_LOG_OVERRIDE
+    #if KOMPUTE_ENABLE_SPDLOG
+        #include <spdlog/spdlog.h>
+    #else
+        #include <iostream>
+        #if SPDLOG_ACTIVE_LEVEL > 1
+            #define SPDLOG_DEBUG(message, ...)
+        #else
+            #if defined(VK_USE_PLATFORM_ANDROID_KHR)
+                #define SPDLOG_DEBUG(message, ...)                                             \
+                ((void)__android_log_print(ANDROID_LOG_DEBUG, KOMPUTE_LOG_TAG, message))
+            #elif defined(KOMPUTE_BUILD_PYTHON)
+                #define SPDLOG_DEBUG(message, ...)                                             \
+                kp_debug(message);
+            #else
+                #define SPDLOG_DEBUG(message, ...)                                             \
+                std::cout << "DEBUG: " << message << std::endl
+            #endif // VK_USE_PLATFORM_ANDROID_KHR
+        #endif // SPDLOG_ACTIVE_LEVEL > 1
+        
+        #if SPDLOG_ACTIVE_LEVEL > 2
+            #define SPDLOG_INFO(message, ...)
+        #else
+            #if defined(VK_USE_PLATFORM_ANDROID_KHR)
+                #define SPDLOG_INFO(message, ...)                                              \
+                ((void)__android_log_print(ANDROID_LOG_INFO, KOMPUTE_LOG_TAG, message))
+            #elif defined(KOMPUTE_BUILD_PYTHON)
+                #define SPDLOG_INFO(message, ...)                                              \
+                kp_info(message);
+            #else
+                #define SPDLOG_INFO(message, ...) std::cout << "INFO: " << message << std::endl
+            #endif // VK_USE_PLATFORM_ANDROID_KHR
+        #endif // SPDLOG_ACTIVE_LEVEL > 2
+    
+        #if SPDLOG_ACTIVE_LEVEL > 3
+            #define SPDLOG_WARN(message, ...)
+        #else
+            #if defined(VK_USE_PLATFORM_ANDROID_KHR)
+                #define SPDLOG_WARN(message, ...)                                              \
+                ((void)__android_log_print(ANDROID_LOG_INFO, KOMPUTE_LOG_TAG, message))
+            #elif defined(KOMPUTE_BUILD_PYTHON)
+                #define SPDLOG_WARN(message, ...)                                              \
+                kp_warning(message);
+            #else
+                #define SPDLOG_WARN(message, ...)                                              \
+                std::cout << "WARNING: " << message << std::endl
+            #endif // VK_USE_PLATFORM_ANDROID_KHR
+        #endif // SPDLOG_ACTIVE_LEVEL > 3
+    
+        #if SPDLOG_ACTIVE_LEVEL > 4
+            #define SPDLOG_ERROR(message, ...)
+        #else
+            #if defined(VK_USE_PLATFORM_ANDROID_KHR)
+                #define SPDLOG_ERROR(message, ...)                                             \
+                ((void)__android_log_print(ANDROID_LOG_INFO, KOMPUTE_LOG_TAG, message))
+            #elif defined(KOMPUTE_BUILD_PYTHON)
+                #define SPDLOG_ERROR(message, ...)                                             \
+                kp_error(message);
+            #else
+                #define SPDLOG_ERROR(message, ...)                                             \
+                std::cout << "ERROR: " << message << std::endl
+            #endif // VK_USE_PLATFORM_ANDROID_KHR
+        #endif // SPDLOG_ACTIVE_LEVEL > 4
+    #endif // KOMPUTE_SPDLOG_ENABLED
+#endif // KOMPUTE_LOG_OVERRIDE
+
+/*
+    THIS FILE HAS BEEN AUTOMATICALLY GENERATED - DO NOT EDIT
+
+    ---
+
+    Copyright 2020 The Institute for Ethical AI & Machine Learning
+
+    Licensed under the Apache License, Version 2.0 (the "License");
+    you may not use this file except in compliance with the License.
+    You may obtain a copy of the License at
+
+        http://www.apache.org/licenses/LICENSE-2.0
+
+    Unless required by applicable law or agreed to in writing, software
+    distributed under the License is distributed on an "AS IS" BASIS,
+    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+    See the License for the specific language governing permissions and
+    limitations under the License.
+*/
+
+#ifndef SHADEROP_SHADEROPMULT_HPP
+#define SHADEROP_SHADEROPMULT_HPP
+
+namespace kp {
+namespace shader_data {
+static const unsigned char shaders_glsl_opmult_comp_spv[] = {
+  0x03, 0x02, 0x23, 0x07, 0x00, 0x00, 0x01, 0x00, 0x08, 0x00, 0x08, 0x00,
+  0x2e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30,
+  0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x06, 0x00, 0x05, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x0b, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x11, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x03, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0xc2, 0x01, 0x00, 0x00, 0x05, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x04, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x69, 0x6e, 0x64, 0x65, 0x78, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x08, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x67, 0x6c, 0x5f, 0x47,
+  0x6c, 0x6f, 0x62, 0x61, 0x6c, 0x49, 0x6e, 0x76, 0x6f, 0x63, 0x61, 0x74,
+  0x69, 0x6f, 0x6e, 0x49, 0x44, 0x00, 0x00, 0x00, 0x05, 0x00, 0x06, 0x00,
+  0x12, 0x00, 0x00, 0x00, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x4f, 0x75,
+  0x74, 0x70, 0x75, 0x74, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x07, 0x00,
+  0x12, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x76, 0x61, 0x6c, 0x75,
+  0x65, 0x73, 0x4f, 0x75, 0x74, 0x70, 0x75, 0x74, 0x00, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x03, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x05, 0x00, 0x19, 0x00, 0x00, 0x00, 0x74, 0x65, 0x6e, 0x73,
+  0x6f, 0x72, 0x4c, 0x68, 0x73, 0x00, 0x00, 0x00, 0x06, 0x00, 0x06, 0x00,
+  0x19, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x76, 0x61, 0x6c, 0x75,
+  0x65, 0x73, 0x4c, 0x68, 0x73, 0x00, 0x00, 0x00, 0x05, 0x00, 0x03, 0x00,
+  0x1b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x05, 0x00,
+  0x21, 0x00, 0x00, 0x00, 0x74, 0x65, 0x6e, 0x73, 0x6f, 0x72, 0x52, 0x68,
+  0x73, 0x00, 0x00, 0x00, 0x06, 0x00, 0x06, 0x00, 0x21, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x76, 0x61, 0x6c, 0x75, 0x65, 0x73, 0x52, 0x68,
+  0x73, 0x00, 0x00, 0x00, 0x05, 0x00, 0x03, 0x00, 0x23, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x04, 0x00, 0x29, 0x00, 0x00, 0x00,
+  0x4c, 0x45, 0x4e, 0x5f, 0x4c, 0x48, 0x53, 0x00, 0x05, 0x00, 0x04, 0x00,
+  0x2a, 0x00, 0x00, 0x00, 0x4c, 0x45, 0x4e, 0x5f, 0x52, 0x48, 0x53, 0x00,
+  0x05, 0x00, 0x04, 0x00, 0x2b, 0x00, 0x00, 0x00, 0x4c, 0x45, 0x4e, 0x5f,
+  0x4f, 0x55, 0x54, 0x00, 0x47, 0x00, 0x04, 0x00, 0x0b, 0x00, 0x00, 0x00,
+  0x0b, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00,
+  0x11, 0x00, 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x48, 0x00, 0x05, 0x00, 0x12, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x23, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x47, 0x00, 0x03, 0x00,
+  0x12, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x22, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x47, 0x00, 0x04, 0x00, 0x14, 0x00, 0x00, 0x00, 0x21, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x18, 0x00, 0x00, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00,
+  0x19, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x23, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x47, 0x00, 0x03, 0x00, 0x19, 0x00, 0x00, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x1b, 0x00, 0x00, 0x00,
+  0x22, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00,
+  0x1b, 0x00, 0x00, 0x00, 0x21, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x47, 0x00, 0x04, 0x00, 0x20, 0x00, 0x00, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, 0x21, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x23, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x47, 0x00, 0x03, 0x00, 0x21, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0x47, 0x00, 0x04, 0x00, 0x23, 0x00, 0x00, 0x00, 0x22, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x23, 0x00, 0x00, 0x00,
+  0x21, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00,
+  0x29, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x47, 0x00, 0x04, 0x00, 0x2a, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x2b, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00,
+  0x2d, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00,
+  0x13, 0x00, 0x02, 0x00, 0x02, 0x00, 0x00, 0x00, 0x21, 0x00, 0x03, 0x00,
+  0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x15, 0x00, 0x04, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x20, 0x00, 0x04, 0x00, 0x07, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x17, 0x00, 0x04, 0x00, 0x09, 0x00, 0x00, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x20, 0x00, 0x04, 0x00,
+  0x0a, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x09, 0x00, 0x00, 0x00,
+  0x3b, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x2b, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x0c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x00, 0x04, 0x00,
+  0x0d, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x16, 0x00, 0x03, 0x00, 0x10, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00,
+  0x1d, 0x00, 0x03, 0x00, 0x11, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x1e, 0x00, 0x03, 0x00, 0x12, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00,
+  0x20, 0x00, 0x04, 0x00, 0x13, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x12, 0x00, 0x00, 0x00, 0x3b, 0x00, 0x04, 0x00, 0x13, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x15, 0x00, 0x04, 0x00,
+  0x15, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x2b, 0x00, 0x04, 0x00, 0x15, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x1d, 0x00, 0x03, 0x00, 0x18, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x03, 0x00, 0x19, 0x00, 0x00, 0x00,
+  0x18, 0x00, 0x00, 0x00, 0x20, 0x00, 0x04, 0x00, 0x1a, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x3b, 0x00, 0x04, 0x00,
+  0x1a, 0x00, 0x00, 0x00, 0x1b, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x20, 0x00, 0x04, 0x00, 0x1d, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x1d, 0x00, 0x03, 0x00, 0x20, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x03, 0x00, 0x21, 0x00, 0x00, 0x00,
+  0x20, 0x00, 0x00, 0x00, 0x20, 0x00, 0x04, 0x00, 0x22, 0x00, 0x00, 0x00,
+  0x02, 0x00, 0x00, 0x00, 0x21, 0x00, 0x00, 0x00, 0x3b, 0x00, 0x04, 0x00,
+  0x22, 0x00, 0x00, 0x00, 0x23, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x32, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x29, 0x00, 0x00, 0x00,
+  0x00, 0x00, 0x00, 0x00, 0x32, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x2a, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x32, 0x00, 0x04, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x2b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x2b, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x06, 0x00, 0x09, 0x00, 0x00, 0x00,
+  0x2d, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00,
+  0x2c, 0x00, 0x00, 0x00, 0x36, 0x00, 0x05, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+  0xf8, 0x00, 0x02, 0x00, 0x05, 0x00, 0x00, 0x00, 0x3b, 0x00, 0x04, 0x00,
+  0x07, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00,
+  0x41, 0x00, 0x05, 0x00, 0x0d, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x0b, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x00, 0x00,
+  0x3e, 0x00, 0x03, 0x00, 0x08, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00,
+  0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x17, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x1c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x41, 0x00, 0x06, 0x00,
+  0x1d, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00, 0x1b, 0x00, 0x00, 0x00,
+  0x16, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x1f, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00,
+  0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00,
+  0x08, 0x00, 0x00, 0x00, 0x41, 0x00, 0x06, 0x00, 0x1d, 0x00, 0x00, 0x00,
+  0x25, 0x00, 0x00, 0x00, 0x23, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00,
+  0x24, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x10, 0x00, 0x00, 0x00,
+  0x26, 0x00, 0x00, 0x00, 0x25, 0x00, 0x00, 0x00, 0x85, 0x00, 0x05, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x27, 0x00, 0x00, 0x00, 0x1f, 0x00, 0x00, 0x00,
+  0x26, 0x00, 0x00, 0x00, 0x41, 0x00, 0x06, 0x00, 0x1d, 0x00, 0x00, 0x00,
+  0x28, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00,
+  0x17, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00, 0x28, 0x00, 0x00, 0x00,
+  0x27, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00
+};
+static const unsigned int shaders_glsl_opmult_comp_spv_len = 1464;
+}
+}
+#endif // define SHADEROP_SHADEROPMULT_HPP
+
+/*
+    THIS FILE HAS BEEN AUTOMATICALLY GENERATED - DO NOT EDIT
+
+    ---
+
+    Copyright 2020 The Institute for Ethical AI & Machine Learning
+
+    Licensed under the Apache License, Version 2.0 (the "License");
+    you may not use this file except in compliance with the License.
+    You may obtain a copy of the License at
+
+        http://www.apache.org/licenses/LICENSE-2.0
+
+    Unless required by applicable law or agreed to in writing, software
+    distributed under the License is distributed on an "AS IS" BASIS,
+    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+    See the License for the specific language governing permissions and
+    limitations under the License.
+*/
+
+#ifndef SHADEROP_SHADERLOGISTICREGRESSION_HPP
+#define SHADEROP_SHADERLOGISTICREGRESSION_HPP
+
+namespace kp {
+namespace shader_data {
+static const unsigned char shaders_glsl_logisticregression_comp_spv[] = {
+  0x03, 0x02, 0x23, 0x07, 0x00, 0x00, 0x01, 0x00, 0x08, 0x00, 0x08, 0x00,
+  0xb3, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30,
+  0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x06, 0x00, 0x05, 0x00, 0x00, 0x00,
+  0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00,
+  0x45, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x11, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x03, 0x00, 0x02, 0x00, 0x00, 0x00,
+  0xc2, 0x01, 0x00, 0x00, 0x05, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00,
+  0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x05, 0x00,
+  0x0a, 0x00, 0x00, 0x00, 0x73, 0x69, 0x67, 0x6d, 0x6f, 0x69, 0x64, 0x28,
+  0x66, 0x31, 0x3b, 0x00, 0x05, 0x00, 0x03, 0x00, 0x09, 0x00, 0x00, 0x00,
+  0x7a, 0x00, 0x00, 0x00, 0x05, 0x00, 0x08, 0x00, 0x12, 0x00, 0x00, 0x00,
+  0x69, 0x6e, 0x66, 0x65, 0x72, 0x65, 0x6e, 0x63, 0x65, 0x28, 0x76, 0x66,
+  0x32, 0x3b, 0x76, 0x66, 0x32, 0x3b, 0x66, 0x31, 0x3b, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x03, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x78, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x03, 0x00, 0x10, 0x00, 0x00, 0x00, 0x77, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x03, 0x00, 0x11, 0x00, 0x00, 0x00, 0x62, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x08, 0x00, 0x17, 0x00, 0x00, 0x00, 0x63, 0x61, 0x6c, 0x63,
+  0x75, 0x6c, 0x61, 0x74, 0x65, 0x4c, 0x6f, 0x73, 0x73, 0x28, 0x66, 0x31,
+  0x3b, 0x66, 0x31, 0x3b, 0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x04, 0x00,
+  0x15, 0x00, 0x00, 0x00, 0x79, 0x48, 0x61, 0x74, 0x00, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x03, 0x00, 0x16, 0x00, 0x00, 0x00, 0x79, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x03, 0x00, 0x1a, 0x00, 0x00, 0x00, 0x6d, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x03, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x4d, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x03, 0x00, 0x26, 0x00, 0x00, 0x00, 0x7a, 0x00, 0x00, 0x00,
+  0x05, 0x00, 0x04, 0x00, 0x2c, 0x00, 0x00, 0x00, 0x79, 0x48, 0x61, 0x74,
+  0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x04, 0x00, 0x2d, 0x00, 0x00, 0x00,
+  0x70, 0x61, 0x72, 0x61, 0x6d, 0x00, 0x00, 0x00, 0x05, 0x00, 0x03, 0x00,
+  0x42, 0x00, 0x00, 0x00, 0x69, 0x64, 0x78, 0x00, 0x05, 0x00, 0x08, 0x00,
+  0x45, 0x00, 0x00, 0x00, 0x67, 0x6c, 0x5f, 0x47, 0x6c, 0x6f, 0x62, 0x61,
+  0x6c, 0x49, 0x6e, 0x76, 0x6f, 0x63, 0x61, 0x74, 0x69, 0x6f, 0x6e, 0x49,
+  0x44, 0x00, 0x00, 0x00, 0x05, 0x00, 0x04, 0x00, 0x4a, 0x00, 0x00, 0x00,
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+  0xaf, 0x00, 0x00, 0x00, 0x6f, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00,
+  0xae, 0x00, 0x00, 0x00, 0xaf, 0x00, 0x00, 0x00, 0x39, 0x00, 0x06, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0xb0, 0x00, 0x00, 0x00, 0x17, 0x00, 0x00, 0x00,
+  0xac, 0x00, 0x00, 0x00, 0xae, 0x00, 0x00, 0x00, 0x41, 0x00, 0x06, 0x00,
+  0x51, 0x00, 0x00, 0x00, 0xb1, 0x00, 0x00, 0x00, 0xaa, 0x00, 0x00, 0x00,
+  0x50, 0x00, 0x00, 0x00, 0xab, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00,
+  0xb1, 0x00, 0x00, 0x00, 0xb0, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00,
+  0x38, 0x00, 0x01, 0x00, 0x36, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x0a, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00,
+  0x37, 0x00, 0x03, 0x00, 0x07, 0x00, 0x00, 0x00, 0x09, 0x00, 0x00, 0x00,
+  0xf8, 0x00, 0x02, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x1f, 0x00, 0x00, 0x00, 0x09, 0x00, 0x00, 0x00,
+  0x7f, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00,
+  0x1f, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x06, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x21, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x1b, 0x00, 0x00, 0x00,
+  0x20, 0x00, 0x00, 0x00, 0x81, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x22, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00, 0x21, 0x00, 0x00, 0x00,
+  0x88, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00, 0x23, 0x00, 0x00, 0x00,
+  0x1e, 0x00, 0x00, 0x00, 0x22, 0x00, 0x00, 0x00, 0xfe, 0x00, 0x02, 0x00,
+  0x23, 0x00, 0x00, 0x00, 0x38, 0x00, 0x01, 0x00, 0x36, 0x00, 0x05, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x12, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x0e, 0x00, 0x00, 0x00, 0x37, 0x00, 0x03, 0x00, 0x0d, 0x00, 0x00, 0x00,
+  0x0f, 0x00, 0x00, 0x00, 0x37, 0x00, 0x03, 0x00, 0x0d, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x37, 0x00, 0x03, 0x00, 0x07, 0x00, 0x00, 0x00,
+  0x11, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, 0x13, 0x00, 0x00, 0x00,
+  0x3b, 0x00, 0x04, 0x00, 0x07, 0x00, 0x00, 0x00, 0x26, 0x00, 0x00, 0x00,
+  0x07, 0x00, 0x00, 0x00, 0x3b, 0x00, 0x04, 0x00, 0x07, 0x00, 0x00, 0x00,
+  0x2c, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x3b, 0x00, 0x04, 0x00,
+  0x07, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00,
+  0x3d, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x27, 0x00, 0x00, 0x00,
+  0x10, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+  0x28, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x94, 0x00, 0x05, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x29, 0x00, 0x00, 0x00, 0x27, 0x00, 0x00, 0x00,
+  0x28, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x2a, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, 0x81, 0x00, 0x05, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x2b, 0x00, 0x00, 0x00, 0x29, 0x00, 0x00, 0x00,
+  0x2a, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00, 0x26, 0x00, 0x00, 0x00,
+  0x2b, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x2e, 0x00, 0x00, 0x00, 0x26, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00,
+  0x2d, 0x00, 0x00, 0x00, 0x2e, 0x00, 0x00, 0x00, 0x39, 0x00, 0x05, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x2f, 0x00, 0x00, 0x00, 0x0a, 0x00, 0x00, 0x00,
+  0x2d, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00, 0x2c, 0x00, 0x00, 0x00,
+  0x2f, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00, 0xfe, 0x00, 0x02, 0x00,
+  0x30, 0x00, 0x00, 0x00, 0x38, 0x00, 0x01, 0x00, 0x36, 0x00, 0x05, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x17, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+  0x14, 0x00, 0x00, 0x00, 0x37, 0x00, 0x03, 0x00, 0x07, 0x00, 0x00, 0x00,
+  0x15, 0x00, 0x00, 0x00, 0x37, 0x00, 0x03, 0x00, 0x07, 0x00, 0x00, 0x00,
+  0x16, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, 0x18, 0x00, 0x00, 0x00,
+  0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x33, 0x00, 0x00, 0x00,
+  0x16, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x34, 0x00, 0x00, 0x00, 0x15, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x06, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x35, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
+  0x1c, 0x00, 0x00, 0x00, 0x34, 0x00, 0x00, 0x00, 0x85, 0x00, 0x05, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x36, 0x00, 0x00, 0x00, 0x33, 0x00, 0x00, 0x00,
+  0x35, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x37, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, 0x83, 0x00, 0x05, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x38, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00,
+  0x37, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x39, 0x00, 0x00, 0x00, 0x15, 0x00, 0x00, 0x00, 0x83, 0x00, 0x05, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x3a, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00,
+  0x39, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x06, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x3b, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00,
+  0x3a, 0x00, 0x00, 0x00, 0x85, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00,
+  0x3c, 0x00, 0x00, 0x00, 0x38, 0x00, 0x00, 0x00, 0x3b, 0x00, 0x00, 0x00,
+  0x81, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x00, 0x00,
+  0x36, 0x00, 0x00, 0x00, 0x3c, 0x00, 0x00, 0x00, 0x7f, 0x00, 0x04, 0x00,
+  0x06, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x00, 0x00,
+  0xfe, 0x00, 0x02, 0x00, 0x3e, 0x00, 0x00, 0x00, 0x38, 0x00, 0x01, 0x00
+};
+static const unsigned int shaders_glsl_logisticregression_comp_spv_len = 4920;
+}
+}
+#endif // define SHADEROP_SHADERLOGISTICREGRESSION_HPP
+
+#include <unordered_map>
+
+#define KP_MAX_DIM_SIZE 1
+
+namespace kp {
+
+/**
+ * Structured data used in GPU operations.
+ *
+ * Tensors are the base building block in Kompute to perform operations across
+ * GPUs. Each tensor would have a respective Vulkan memory and buffer, which
+ * would be used to store their respective data. The tensors can be used for GPU
+ * data storage or transfer.
+ */
+class Tensor
+{
+  public:
+    /**
+     * Type for tensors created: Device allows memory to be transferred from
+     * staging buffers. Staging are host memory visible. Storage are device
+     * visible but are not set up to transfer or receive data (only for shader
+     * storage).
+     */
+    enum class TensorTypes
+    {
+        eDevice = 0,  ///< Type is device memory, source and destination
+        eStaging = 1, ///< Type is host memory, source and destination
+        eStorage = 2, ///< Type is Device memory (only)
+    };
+
+    /**
+     *  Base constructor, should not be used unless explicitly intended.
+     */
+    Tensor();
+
+    /**
+     *  Default constructor with data provided which would be used to create the
+     * respective vulkan buffer and memory.
+     *
+     *  @param data Vector of data that will be used by the tensor
+     *  @param tensorType Type for the tensor which is of type TensorTypes
+     */
+    Tensor(const std::vector<float>& data,
+           TensorTypes tensorType = TensorTypes::eDevice);
+
+    /**
+     * Destructor which is in charge of freeing vulkan resources unless they
+     * have been provided externally.
+     */
+    ~Tensor();
+
+    /**
+     * Initialiser which calls the initialisation for all the respective tensors
+     * as well as creates the respective staging tensors. The staging tensors
+     * would only be created for the tensors of type TensorType::eDevice as
+     * otherwise there is no need to copy from host memory.
+     */
+    void init(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+              std::shared_ptr<vk::Device> device);
+
+    /**
+     * Destroys and frees the GPU resources which include the buffer and memory.
+     */
+    void freeMemoryDestroyGPUResources();
+
+    /**
+     * Returns the vector of data currently contained by the Tensor. It is
+     * important to ensure that there is no out-of-sync data with the GPU
+     * memory.
+     *
+     * @return Reference to vector of elements representing the data in the
+     * tensor.
+     */
+    std::vector<float>& data();
+    /**
+     * Overrides the subscript operator to expose the underlying data's
+     * subscript operator which in this case would be its underlying
+     * vector's.
+     *
+     * @param i The index where the element will be returned from.
+     * @return Returns the element in the position requested.
+     */
+    float& operator[](int index);
+    /**
+     * Returns the size/magnitude of the Tensor, which will be the total number
+     * of elements across all dimensions
+     *
+     * @return Unsigned integer representing the total number of elements
+     */
+    uint32_t size();
+    /**
+     * Returns the shape of the tensor, which includes the number of dimensions
+     * and the size per dimension.
+     *
+     * @return Array containing the sizes for each dimension. Zero means
+     * respective dimension is not active.
+     */
+    std::array<uint32_t, KP_MAX_DIM_SIZE> shape();
+    /**
+     * Retrieve the tensor type of the Tensor
+     *
+     * @return Tensor type of tensor
+     */
+    TensorTypes tensorType();
+    /**
+     * Returns true if the tensor initialisation function has been carried out
+     * successful, which would mean that the buffer and memory will have been
+     * provisioned.
+     */
+    bool isInit();
+
+    /**
+     * Sets / resets the vector data of the tensor. This function does not
+     * perform any copies into GPU memory and is only performed on the host.
+     */
+    void setData(const std::vector<float>& data);
+
+    /**
+     * Records a copy from the memory of the tensor provided to the current
+     * thensor. This is intended to pass memory into a processing, to perform
+     * a staging buffer transfer, or to gather output (between others).
+     *
+     * @param commandBuffer Vulkan Command Buffer to record the commands into
+     * @param copyFromTensor Tensor to copy the data from
+     * @param createBarrier Whether to create a barrier that ensures the data is
+     * copied before further operations. Default is true.
+     */
+    void recordCopyFrom(std::shared_ptr<vk::CommandBuffer> commandBuffer,
+                        std::shared_ptr<Tensor> copyFromTensor,
+                        bool createBarrier);
+
+    /**
+     * Records the buffer memory barrier into the command buffer which
+     * ensures that relevant data transfers are carried out correctly.
+     *
+     * @param commandBuffer Vulkan Command Buffer to record the commands into
+     * @param srcAccessMask Access flags for source access mask
+     * @param dstAccessMask Access flags for destination access mask
+     * @param scrStageMask Pipeline stage flags for source stage mask
+     * @param dstStageMask Pipeline stage flags for destination stage mask
+     */
+    void recordBufferMemoryBarrier(
+      std::shared_ptr<vk::CommandBuffer> commandBuffer,
+      vk::AccessFlagBits srcAccessMask,
+      vk::AccessFlagBits dstAccessMask,
+      vk::PipelineStageFlagBits srcStageMask,
+      vk::PipelineStageFlagBits dstStageMask);
+
+    /**
+     * Constructs a vulkan descriptor buffer info which can be used to specify
+     * and reference the underlying buffer component of the tensor without
+     * exposing it.
+     *
+     * @return Descriptor buffer info with own buffer
+     */
+    vk::DescriptorBufferInfo constructDescriptorBufferInfo();
+    /**
+     * Maps data from the Host Visible GPU memory into the data vector. It
+     * requires the Tensor to be of staging type for it to work.
+     */
+    void mapDataFromHostMemory();
+    /**
+     * Maps data from the data vector into the Host Visible GPU memory. It
+     * requires the tensor to be of staging type for it to work.
+     */
+    void mapDataIntoHostMemory();
+
+  private:
+    // -------------- NEVER OWNED RESOURCES
+    std::shared_ptr<vk::PhysicalDevice> mPhysicalDevice;
+    std::shared_ptr<vk::Device> mDevice;
+
+    // -------------- OPTIONALLY OWNED RESOURCES
+    std::shared_ptr<vk::Buffer> mBuffer;
+    bool mFreeBuffer;
+    std::shared_ptr<vk::DeviceMemory> mMemory;
+    bool mFreeMemory;
+
+    // -------------- ALWAYS OWNED RESOURCES
+    std::vector<float> mData;
+
+    TensorTypes mTensorType = TensorTypes::eDevice;
+
+    std::array<uint32_t, KP_MAX_DIM_SIZE> mShape;
+    bool mIsInit = false;
+
+    void createBuffer(); // Creates the vulkan buffer
+
+    // Private util functions
+    vk::BufferUsageFlags getBufferUsageFlags();
+    vk::MemoryPropertyFlags getMemoryPropertyFlags();
+    uint64_t memorySize();
+};
+
+} // End namespace kp
+
+namespace kp {
+
+/**
+ *  Base Operation which provides the high level interface that Kompute
+ *  operations implement in order to perform a set of actions in the GPU.
+ *
+ *  Operations can perform actions on tensors, and optionally can also own an
+ *  Algorithm with respective parameters. kp::Operations with kp::Algorithms
+ *  would inherit from kp::OpBaseAlgo.
+ */
+class OpBase
+{
+  public:
+    /**
+     *  Base constructor, should not be used unless explicitly intended.
+     */
+    OpBase() { SPDLOG_DEBUG("Compute OpBase base constructor"); }
+
+    /**
+     * Default constructor with parameters that provides the bare minimum
+     * requirements for the operations to be able to create and manage their
+     * sub-components.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that are to be used in this operation
+     * @param freeTensors Whether operation manages the memory of the Tensors
+     */
+    OpBase(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+           std::shared_ptr<vk::Device> device,
+           std::shared_ptr<vk::CommandBuffer> commandBuffer,
+           std::vector<std::shared_ptr<Tensor>>& tensors,
+           bool freeTensors)
+    {
+        SPDLOG_DEBUG("Compute OpBase constructor with params");
+
+        this->mPhysicalDevice = physicalDevice;
+        this->mDevice = device;
+        this->mCommandBuffer = commandBuffer;
+        this->mTensors = tensors;
+        this->mFreeTensors = freeTensors;
+    }
+
+    /**
+     * Default destructor for OpBase class. This OpBase destructor class should
+     * always be called to destroy and free owned resources unless it is
+     * intended to destroy the resources in the parent class. This can be done
+     * by passing the mFreeTensors=false.
+     */
+    virtual ~OpBase()
+    {
+        SPDLOG_DEBUG("Kompute OpBase destructor started");
+
+        if (!this->mDevice) {
+            SPDLOG_WARN("Kompute OpBase destructor called with empty device");
+            return;
+        }
+
+        if (this->mFreeTensors) {
+            SPDLOG_DEBUG("Kompute OpBase freeing tensors");
+            for (std::shared_ptr<Tensor> tensor : this->mTensors) {
+                if (tensor && tensor->isInit()) {
+                    tensor->freeMemoryDestroyGPUResources();
+                } else {
+                    SPDLOG_ERROR("Kompute OpBase expected to free "
+                                  "tensor but has already been freed.");
+                }
+            }
+        }
+    }
+
+    /**
+     * The init function is responsible for setting up all the resources and
+     * should be called after the Operation has been created.
+     */
+    virtual void init() = 0;
+
+    /**
+     * The record function is intended to only send a record command or run
+     * commands that are expected to record operations that are to be submitted
+     * as a batch into the GPU.
+     */
+    virtual void record() = 0;
+
+    /**
+     * Pre eval is called before the Sequence has called eval and submitted the commands to
+     * the GPU for processing, and can be used to perform any per-eval setup steps
+     * required as the computation iteration begins. It's worth noting that 
+     * there are situations where eval can be called multiple times, so the 
+     * resources that are created should be idempotent in case it's called multiple
+     * times in a row.
+     */
+    virtual void preEval() = 0;
+
+    /**
+     * Post eval is called after the Sequence has called eval and submitted the commands to
+     * the GPU for processing, and can be used to perform any tear-down steps
+     * required as the computation iteration finishes. It's worth noting that 
+     * there are situations where eval can be called multiple times, so the 
+     * resources that are destroyed should not require a re-init unless explicitly
+     * provided by the user.
+     */
+    virtual void postEval() = 0;
+
+  protected:
+    // -------------- NEVER OWNED RESOURCES
+    std::shared_ptr<vk::PhysicalDevice>
+      mPhysicalDevice;                   ///< Vulkan Physical Device
+    std::shared_ptr<vk::Device> mDevice; ///< Vulkan Logical Device
+    std::shared_ptr<vk::CommandBuffer>
+      mCommandBuffer; ///< Vulkan Command Buffer
+
+    // -------------- OPTIONALLY OWNED RESOURCES
+    std::vector<std::shared_ptr<Tensor>>
+      mTensors; ///< Tensors referenced by operation that can be managed
+                ///< optionally by operation
+    bool mFreeTensors = false; ///< Explicit boolean that specifies whether the
+                               ///< tensors are freed (if they are managed)
+};
+
+} // End namespace kp
+
+namespace kp {
+
+/**
+ *  Container of operations that can be sent to GPU as batch
+ */
+class Sequence
+{
+  public:
+    /**
+     *  Base constructor for Sequence. Should not be used unless explicit
+     * intended.
+     */
+    Sequence();
+    /**
+     * Main constructor for sequence which requires core vulkan components to
+     * generate all dependent resources.
+     *
+     * @param physicalDevice Vulkan physical device
+     * @param device Vulkan logical device
+     * @param computeQueue Vulkan compute queue
+     * @param queueIndex Vulkan compute queue index in device
+     */
+    Sequence(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+             std::shared_ptr<vk::Device> device,
+             std::shared_ptr<vk::Queue> computeQueue,
+             uint32_t queueIndex);
+    /**
+     * Destructor for sequence which is responsible for cleaning all subsequent
+     * owned operations.
+     */
+    ~Sequence();
+
+    /**
+     * Initialises sequence including the creation of the command pool and the
+     * command buffer.
+     */
+    void init();
+
+    /**
+     * Begins recording commands for commands to be submitted into the command
+     * buffer.
+     *
+     * @return Boolean stating whether execution was successful.
+     */
+    bool begin();
+
+    /**
+     * Ends the recording and stops recording commands when the record command
+     * is sent.
+     *
+     * @return Boolean stating whether execution was successful.
+     */
+    bool end();
+
+    /**
+     * Eval sends all the recorded and stored operations in the vector of
+     * operations into the gpu as a submit job with a barrier.
+     *
+     * @return Boolean stating whether execution was successful.
+     */
+    bool eval();
+
+    /**
+     * Eval Async sends all the recorded and stored operations in the vector of
+     * operations into the gpu as a submit job with a barrier. EvalAwait() must
+     * be called after to ensure the sequence is terminated correctly.
+     *
+     * @return Boolean stating whether execution was successful.
+     */
+    bool evalAsync();
+
+    /**
+     * Eval Await waits for the fence to finish processing and then once it
+     * finishes, it runs the postEval of all operations.
+     *
+     * @param waitFor Number of milliseconds to wait before timing out.
+     * @return Boolean stating whether execution was successful.
+     */
+    bool evalAwait(uint64_t waitFor = UINT64_MAX);
+
+    /**
+     * Returns true if the sequence is currently in recording activated.
+     *
+     * @return Boolean stating if recording ongoing.
+     */
+    bool isRecording();
+
+    /**
+     * Returns true if the sequence is currently running - mostly used for async
+     * workloads.
+     *
+     * @return Boolean stating if currently running.
+     */
+    bool isRunning();
+
+    /**
+     * Returns true if the sequence has been successfully initialised.
+     *
+     * @return Boolean stating if sequence has been initialised.
+     */
+    bool isInit();
+
+    /**
+     * Destroys and frees the GPU resources which include the buffer and memory
+     * and sets the sequence as init=False.
+     */
+    void freeMemoryDestroyGPUResources();
+
+    /**
+     * Record function for operation to be added to the GPU queue in batch. This
+     * template requires classes to be derived from the OpBase class. This
+     * function also requires the Sequence to be recording, otherwise it will
+     * not be able to add the operation.
+     *
+     * @param tensors Vector of tensors to use for the operation
+     * @param TArgs Template parameters that are used to initialise operation
+     * which allows for extensible configurations on initialisation.
+     */
+    template<typename T, typename... TArgs>
+    bool record(std::vector<std::shared_ptr<Tensor>> tensors, TArgs&&... params)
+    {
+        static_assert(std::is_base_of<OpBase, T>::value,
+                      "Kompute Sequence record(...) template only valid with "
+                      "OpBase derived classes");
+
+        SPDLOG_DEBUG("Kompute Sequence record function started");
+
+        if (!this->isRecording()) {
+            SPDLOG_ERROR(
+              "Kompute sequence record attempted when not record BEGIN");
+            return false;
+        }
+
+        SPDLOG_DEBUG("Kompute Sequence creating OpBase derived class instance");
+        T* op = new T(this->mPhysicalDevice,
+                      this->mDevice,
+                      this->mCommandBuffer,
+                      tensors,
+                      std::forward<TArgs>(params)...);
+
+        OpBase* baseOp = dynamic_cast<OpBase*>(op);
+
+        std::unique_ptr<OpBase> baseOpPtr{ baseOp };
+
+        SPDLOG_DEBUG(
+          "Kompute Sequence running init on OpBase derived class instance");
+        baseOpPtr->init();
+
+        SPDLOG_DEBUG(
+          "Kompute Sequence running record on OpBase derived class instance");
+        baseOpPtr->record();
+
+        mOperations.push_back(std::move(baseOpPtr));
+
+        return true;
+    }
+
+  private:
+    // -------------- NEVER OWNED RESOURCES
+    std::shared_ptr<vk::PhysicalDevice> mPhysicalDevice = nullptr;
+    std::shared_ptr<vk::Device> mDevice = nullptr;
+    std::shared_ptr<vk::Queue> mComputeQueue = nullptr;
+    uint32_t mQueueIndex = -1;
+
+    // -------------- OPTIONALLY OWNED RESOURCES
+    std::shared_ptr<vk::CommandPool> mCommandPool = nullptr;
+    bool mFreeCommandPool = false;
+    std::shared_ptr<vk::CommandBuffer> mCommandBuffer = nullptr;
+    bool mFreeCommandBuffer = false;
+
+    // -------------- ALWAYS OWNED RESOURCES
+    vk::Fence mFence;
+    std::vector<std::unique_ptr<OpBase>> mOperations;
+
+    // State
+    bool mIsInit = false;
+    bool mRecording = false;
+    bool mIsRunning = false;
+
+    // Create functions
+    void createCommandPool();
+    void createCommandBuffer();
+};
+
+} // End namespace kp
+
+namespace kp {
+
+/**
+    Operation that creates tensor and manages the memory of the components
+   created
+*/
+class OpTensorCreate : public OpBase
+{
+  public:
+    OpTensorCreate();
+
+    /**
+     * Default constructor with parameters that provides the bare minimum
+     * requirements for the operations to be able to create and manage their
+     * sub-components.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that will be used to create in operation.
+     * @param freeTensors Whether operation manages the memory of the Tensors
+     */
+    OpTensorCreate(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+                   std::shared_ptr<vk::Device> device,
+                   std::shared_ptr<vk::CommandBuffer> commandBuffer,
+                   std::vector<std::shared_ptr<Tensor>> tensors);
+
+    /**
+     * Default destructor which in this case expects the parent class to free
+     * the tensors
+     */
+    ~OpTensorCreate() override;
+
+    /**
+     * In charge of initialising the primary Tensor as well as the staging
+     * tensor as required. It will only initialise a staging tensor if the
+     * Primary tensor is of type Device. For staging tensors it performs a 
+     * mapDataIntoHostMemory which would perform immediately as opposed to 
+     * on sequence eval/submission.
+     */
+    void init() override;
+
+    /**
+     * Record runs the core actions to create the tensors. For device tensors
+     * it records a copyCommand to move the data from the staging tensor to the 
+     * device tensor. The mapping for staging tensors happens in the init function
+     * not in the record function.
+     */
+    void record() override;
+
+    /**
+     * Does not perform any preEval commands.
+     */
+    virtual void preEval() override;
+
+    /**
+     * Performs a copy back into the main tensor to ensure that the data
+     * contained is the one that is now being stored in the GPU.
+     */
+    virtual void postEval() override;
+
+  private:
+    // Never owned resources
+    std::vector<std::shared_ptr<Tensor>> mStagingTensors;
+};
+
+} // End namespace kp
+
+#define KP_DEFAULT_SESSION "DEFAULT"
+
+namespace kp {
+
+/**
+    Base orchestrator which creates and manages device and child components
+*/
+class Manager
+{
+  public:
+    /**
+        Base constructor and default used which creates the base resources
+       including choosing the device 0 by default.
+    */
+    Manager();
+
+    /**
+     * Similar to base constructor but allows the user to provide the device
+     * they would like to create the resources on.
+     *
+     * @param physicalDeviceIndex The index of the physical device to use
+     * @param familyQueueIndices (Optional) List of queue indices to add for
+     * explicit allocation
+     * @param totalQueues The total number of compute queues to create.
+     */
+    Manager(uint32_t physicalDeviceIndex,
+            const std::vector<uint32_t>& familyQueueIndices = {});
+
+    /**
+     * Manager constructor which allows your own vulkan application to integrate
+     * with the vulkan kompute use.
+     *
+     * @param instance Vulkan compute instance to base this application
+     * @param physicalDevice Vulkan physical device to use for application
+     * @param device Vulkan logical device to use for all base resources
+     * @param physicalDeviceIndex Index for vulkan physical device used
+     */
+    Manager(std::shared_ptr<vk::Instance> instance,
+            std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+            std::shared_ptr<vk::Device> device,
+            uint32_t physicalDeviceIndex);
+
+    /**
+     * Manager destructor which would ensure all owned resources are destroyed
+     * unless explicitly stated that resources should not be destroyed or freed.
+     */
+    ~Manager();
+
+    /**
+     * Get or create a managed Sequence that will be contained by this manager.
+     * If the named sequence does not currently exist, it would be created and
+     * initialised.
+     *
+     * @param sequenceName The name for the named sequence to be retrieved or
+     * created
+     * @return Shared pointer to the manager owned sequence resource
+     */
+    std::shared_ptr<Sequence> getOrCreateManagedSequence(
+      std::string sequenceName);
+
+    /**
+     * Create a new managed Kompute sequence so it's available within the
+     * manager.
+     *
+     * @param sequenceName The name for the named sequence to be created, if
+     * empty then default indexed value is used
+     * @param queueIndex The queue to use from the available queues
+     * @return Weak pointer to the manager owned sequence resource
+     */
+    std::shared_ptr<Sequence> createManagedSequence(
+      std::string sequenceName = "",
+      uint32_t queueIndex = 0);
+
+    /**
+     * Function that evaluates operation against named sequence.
+     *
+     * @param tensors The tensors to be used in the operation recorded
+     * @param sequenceName The name of the sequence to be retrieved or created
+     * @param TArgs Template parameters that will be used to initialise
+     * Operation to allow for extensible configurations on initialisation
+     */
+    template<typename T, typename... TArgs>
+    void evalOp(std::vector<std::shared_ptr<Tensor>> tensors,
+                std::string sequenceName,
+                TArgs&&... params)
+    {
+        SPDLOG_DEBUG("Kompute Manager evalOp triggered");
+        std::shared_ptr<kp::Sequence> sq =
+          this->getOrCreateManagedSequence(sequenceName);
+
+        SPDLOG_DEBUG("Kompute Manager evalOp running sequence BEGIN");
+        sq->begin();
+
+        SPDLOG_DEBUG("Kompute Manager evalOp running sequence RECORD");
+        sq->record<T>(tensors, std::forward<TArgs>(params)...);
+
+        SPDLOG_DEBUG("Kompute Manager evalOp running sequence END");
+        sq->end();
+
+        SPDLOG_DEBUG("Kompute Manager evalOp running sequence EVAL");
+        sq->eval();
+
+        SPDLOG_DEBUG("Kompute Manager evalOp running sequence SUCCESS");
+    }
+
+    /**
+     * Function that evaluates operation against a newly created sequence.
+     *
+     * @param tensors The tensors to be used in the operation recorded
+     * @param TArgs Template parameters that will be used to initialise
+     * Operation to allow for extensible configurations on initialisation
+     */
+    template<typename T, typename... TArgs>
+    void evalOpDefault(std::vector<std::shared_ptr<Tensor>> tensors,
+                       TArgs&&... params)
+    {
+        SPDLOG_DEBUG("Kompute Manager evalOp Default triggered");
+        this->mCurrentSequenceIndex++;
+        this->evalOp<T>(tensors,
+                        KP_DEFAULT_SESSION +
+                          std::to_string(this->mCurrentSequenceIndex),
+                        std::forward<TArgs>(params)...);
+    }
+
+    /**
+     * Function that evaluates operation against named sequence asynchronously.
+     *
+     * @param tensors The tensors to be used in the operation recorded
+     * @param sequenceName The name of the sequence to be retrieved or created
+     * @param params Template parameters that will be used to initialise
+     * Operation to allow for extensible configurations on initialisation
+     */
+    template<typename T, typename... TArgs>
+    void evalOpAsync(std::vector<std::shared_ptr<Tensor>> tensors,
+                     std::string sequenceName,
+                     TArgs&&... params)
+    {
+        SPDLOG_DEBUG("Kompute Manager evalOpAsync triggered");
+
+        std::shared_ptr<kp::Sequence> sq =
+          this->getOrCreateManagedSequence(sequenceName);
+
+        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence BEGIN");
+        sq->begin();
+
+        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence RECORD");
+        sq->record<T>(tensors, std::forward<TArgs>(params)...);
+
+        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence END");
+        sq->end();
+
+        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence EVAL");
+        sq->evalAsync();
+
+        SPDLOG_DEBUG("Kompute Manager evalOpAsync running sequence SUCCESS");
+    }
+
+    /**
+     * Operation that evaluates operation against default sequence
+     * asynchronously.
+     *
+     * @param tensors The tensors to be used in the operation recorded
+     * @param params Template parameters that will be used to initialise
+     * Operation to allow for extensible configurations on initialisation
+     */
+    template<typename T, typename... TArgs>
+    void evalOpAsyncDefault(std::vector<std::shared_ptr<Tensor>> tensors,
+                            TArgs&&... params)
+    {
+        SPDLOG_DEBUG("Kompute Manager evalOpAsyncDefault triggered");
+        this->mCurrentSequenceIndex++;
+        this->evalOpAsync<T>(tensors,
+                             KP_DEFAULT_SESSION +
+                               std::to_string(this->mCurrentSequenceIndex),
+                             std::forward<TArgs>(params)...);
+    }
+
+    /**
+     * Operation that awaits for named sequence to finish.
+     *
+     * @param sequenceName The name of the sequence to wait for termination
+     * @param waitFor The amount of time to wait before timing out
+     */
+    void evalOpAwait(std::string sequenceName, uint64_t waitFor = UINT64_MAX)
+    {
+        SPDLOG_DEBUG("Kompute Manager evalOpAwait triggered with sequence {}",
+                     sequenceName);
+        std::unordered_map<std::string, std::shared_ptr<Sequence>>::iterator
+          found = this->mManagedSequences.find(sequenceName);
+
+        if (found != this->mManagedSequences.end()) {
+            if (std::shared_ptr<kp::Sequence> sq = found->second) {
+                SPDLOG_DEBUG("Kompute Manager evalOpAwait running sequence "
+                             "Sequence EVAL AWAIT");
+                if (sq->isRunning()) {
+                    sq->evalAwait(waitFor);
+                }
+            }
+            SPDLOG_DEBUG(
+              "Kompute Manager evalOpAwait running sequence SUCCESS");
+        } else {
+            SPDLOG_ERROR("Kompute Manager evalOpAwait Sequence not found");
+        }
+    }
+
+    /**
+     * Operation that awaits for default sequence to finish.
+     *
+     * @param tensors The tensors to be used in the operation recorded
+     * @param params Template parameters that will be used to initialise
+     * Operation to allow for extensible configurations on initialisation
+     */
+    void evalOpAwaitDefault(uint64_t waitFor = UINT64_MAX)
+    {
+        SPDLOG_DEBUG("Kompute Manager evalOpAwaitDefault triggered");
+        this->evalOpAwait(KP_DEFAULT_SESSION +
+                            std::to_string(this->mCurrentSequenceIndex),
+                          waitFor);
+    }
+
+    /**
+     * Function that simplifies the common workflow of tensor creation and
+     * initialization. It will take the constructor parameters for a Tensor
+     * and will will us it to create a new Tensor and then create it using
+     * the OpCreateTensor command.
+     *
+     * @param data The data to initialize the tensor with
+     * @param tensorType The type of tensor to initialize
+     * @returns Initialized Tensor with memory Syncd to GPU device
+     */
+    std::shared_ptr<Tensor> buildTensor(
+      const std::vector<float>& data,
+      Tensor::TensorTypes tensorType = Tensor::TensorTypes::eDevice)
+    {
+        SPDLOG_DEBUG("Kompute Manager createInitTensor triggered");
+
+        SPDLOG_DEBUG("Kompute Manager creating new tensor shared ptr");
+        std::shared_ptr<Tensor> tensor =
+          std::make_shared<Tensor>(kp::Tensor(data, tensorType));
+
+        this->evalOpDefault<OpTensorCreate>({ tensor });
+
+        return tensor;
+    }
+
+  private:
+    // -------------- OPTIONALLY OWNED RESOURCES
+    std::shared_ptr<vk::Instance> mInstance = nullptr;
+    bool mFreeInstance = false;
+    std::shared_ptr<vk::PhysicalDevice> mPhysicalDevice = nullptr;
+    uint32_t mPhysicalDeviceIndex = -1;
+    std::shared_ptr<vk::Device> mDevice = nullptr;
+    bool mFreeDevice = false;
+
+    // -------------- ALWAYS OWNED RESOURCES
+    std::unordered_map<std::string, std::shared_ptr<Sequence>>
+      mManagedSequences;
+
+    std::vector<uint32_t> mComputeQueueFamilyIndices;
+    std::vector<std::shared_ptr<vk::Queue>> mComputeQueues;
+
+    uint32_t mCurrentSequenceIndex = -1;
+
+#if DEBUG
+#ifndef KOMPUTE_DISABLE_VK_DEBUG_LAYERS
+    vk::DebugReportCallbackEXT mDebugReportCallback;
+    vk::DispatchLoaderDynamic mDebugDispatcher;
+#endif
+#endif
+
+    // Create functions
+    void createInstance();
+    void createDevice(const std::vector<uint32_t>& familyQueueIndices = {});
+};
+
+} // End namespace kp
+
+#include <fstream>
+
+namespace kp {
+
+/**
+    Abstraction for compute shaders that are run on top of tensors grouped via
+   ParameterGroups (which group descriptorsets)
+*/
+class Algorithm
+{
+  public:
+    /**
+        Base constructor for Algorithm. Should not be used unless explicit
+       intended.
+    */
+    Algorithm();
+
+    /**
+     *  Default constructor for Algorithm
+     *
+     *  @param device The Vulkan device to use for creating resources
+     *  @param commandBuffer The vulkan command buffer to bind the pipeline and
+     * shaders
+     */
+    Algorithm(std::shared_ptr<vk::Device> device,
+              std::shared_ptr<vk::CommandBuffer> commandBuffer);
+
+    /**
+     * Initialiser for the shader data provided to the algorithm as well as
+     * tensor parameters that will be used in shader.
+     *
+     * @param shaderFileData The bytes in spir-v format of the shader
+     * @tensorParams The Tensors to be used in the Algorithm / shader for
+     * processing
+     */
+    void init(const std::vector<char>& shaderFileData,
+              std::vector<std::shared_ptr<Tensor>> tensorParams);
+
+    /**
+     * Destructor for Algorithm which is responsible for freeing and desroying
+     * respective pipelines and owned parameter groups.
+     */
+    ~Algorithm();
+
+    /**
+     * Records the dispatch function with the provided template parameters or
+     * alternatively using the size of the tensor by default.
+     *
+     * @param x Layout X dispatch value
+     * @param y Layout Y dispatch value
+     * @param z Layout Z dispatch value
+     */
+    void recordDispatch(uint32_t x = 1, uint32_t y = 1, uint32_t z = 1);
+
+  private:
+    // -------------- NEVER OWNED RESOURCES
+    std::shared_ptr<vk::Device> mDevice;
+    std::shared_ptr<vk::CommandBuffer> mCommandBuffer;
+
+    // -------------- OPTIONALLY OWNED RESOURCES
+    std::shared_ptr<vk::DescriptorSetLayout> mDescriptorSetLayout;
+    bool mFreeDescriptorSetLayout = false;
+    std::shared_ptr<vk::DescriptorPool> mDescriptorPool;
+    bool mFreeDescriptorPool = false;
+    std::shared_ptr<vk::DescriptorSet> mDescriptorSet;
+    bool mFreeDescriptorSet = false;
+    std::shared_ptr<vk::ShaderModule> mShaderModule;
+    bool mFreeShaderModule = false;
+    std::shared_ptr<vk::PipelineLayout> mPipelineLayout;
+    bool mFreePipelineLayout = false;
+    std::shared_ptr<vk::PipelineCache> mPipelineCache;
+    bool mFreePipelineCache = false;
+    std::shared_ptr<vk::Pipeline> mPipeline;
+    bool mFreePipeline = false;
+
+    // Create util functions
+    void createShaderModule(const std::vector<char>& shaderFileData);
+    void createPipeline(std::vector<uint32_t> specializationData = {});
+
+    // Parameters
+    void createParameters(std::vector<std::shared_ptr<Tensor>>& tensorParams);
+    void createDescriptorPool();
+};
+
+} // End namespace kp
+
+namespace kp {
+
+/**
+ * Operation that provides a general abstraction that simplifies the use of 
+ * algorithm and parameter components which can be used with shaders.
+ * By default it enables the user to provide a dynamic number of tensors
+ * which are then passed as inputs.
+ */
+class OpAlgoBase : public OpBase
+{
+  public:
+    struct KomputeWorkgroup {
+        uint32_t x;
+        uint32_t y;
+        uint32_t z;
+    };
+
+    /**
+     *  Base constructor, should not be used unless explicitly intended.
+     */
+    OpAlgoBase();
+
+    /**
+     * Default constructor with parameters that provides the bare minimum
+     * requirements for the operations to be able to create and manage their
+     * sub-components.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that are to be used in this operation
+     * @param shaderFilePath Optional parameter to specify the shader to load (either in spirv or raw format)
+     * @param komputeWorkgroup Optional parameter to specify the layout for processing
+     */
+    OpAlgoBase(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+           std::shared_ptr<vk::Device> device,
+           std::shared_ptr<vk::CommandBuffer> commandBuffer,
+           std::vector<std::shared_ptr<Tensor>>& tensors,
+           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup());
+
+    /**
+     * Constructor that enables a file to be passed to the operation with
+     * the contents of the shader. This can be either in raw format or in
+     * compiled SPIR-V binary format.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that are to be used in this operation
+     * @param shaderFilePath Parameter to specify the shader to load (either in spirv or raw format)
+     * @param komputeWorkgroup Optional parameter to specify the layout for processing
+     */
+    OpAlgoBase(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+           std::shared_ptr<vk::Device> device,
+           std::shared_ptr<vk::CommandBuffer> commandBuffer,
+           std::vector<std::shared_ptr<Tensor>>& tensors,
+           std::string shaderFilePath,
+           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup());
+
+    /**
+     * Constructor that enables raw shader data to be passed to the main operation
+     * which can be either in raw shader glsl code or in compiled SPIR-V binary.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that are to be used in this operation
+     * @param shaderDataRaw Optional parameter to specify the shader data either in binary or raw form
+     * @param komputeWorkgroup Optional parameter to specify the layout for processing
+     */
+    OpAlgoBase(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+           std::shared_ptr<vk::Device> device,
+           std::shared_ptr<vk::CommandBuffer> commandBuffer,
+           std::vector<std::shared_ptr<Tensor>>& tensors,
+           const std::vector<char>& shaderDataRaw,
+           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup());
+
+    /**
+     * Default destructor, which is in charge of destroying the algorithm
+     * components but does not destroy the underlying tensors
+     */
+    virtual ~OpAlgoBase() override;
+
+    /**
+     * The init function is responsible for the initialisation of the algorithm
+     * component based on the parameters specified, and allows for extensibility
+     * on the options provided. Further dependent classes can perform more 
+     * specific checks such as ensuring tensors provided are initialised, etc.
+     */
+    virtual void init() override;
+
+    /**
+     * This records the commands that are to be sent to the GPU. This includes
+     * the barriers that ensure the memory has been copied before going in and
+     * out of the shader, as well as the dispatch operation that sends the
+     * shader processing to the gpu. This function also records the GPU memory
+     * copy of the output data for the staging buffer so it can be read by the
+     * host.
+     */
+    virtual void record() override;
+
+    /**
+     * Does not perform any preEval commands.
+     */
+    virtual void preEval() override;
+
+    /**
+     * Executes after the recorded commands are submitted, and performs a copy
+     * of the GPU Device memory into the staging buffer so the output data can
+     * be retrieved.
+     */
+    virtual void postEval() override;
+
+  protected:
+    // -------------- NEVER OWNED RESOURCES
+
+    // -------------- OPTIONALLY OWNED RESOURCES
+    std::shared_ptr<Algorithm> mAlgorithm;
+    bool mFreeAlgorithm = false;
+
+    // -------------- ALWAYS OWNED RESOURCES
+
+    KomputeWorkgroup mKomputeWorkgroup;
+
+    std::string mShaderFilePath; ///< Optional member variable which can be provided for the OpAlgoBase to find the data automatically and load for processing
+    std::vector<char> mShaderDataRaw; ///< Optional member variable which can be provided to contain either the raw shader content or the spirv binary content
+
+    virtual std::vector<char> fetchSpirvBinaryData();
+};
+
+} // End namespace kp
+
+#include <fstream>
+
+namespace kp {
+
+/**
+ * Operation base class to simplify the creation of operations that require
+ * right hand and left hand side datapoints together with a single output.
+ * The expected data passed is two input tensors and one output tensor.
+ */
+class OpAlgoLhsRhsOut : public OpAlgoBase
+{
+  public:
+    /**
+     *  Base constructor, should not be used unless explicitly intended.
+     */
+    OpAlgoLhsRhsOut();
+
+    /**
+     * Default constructor with parameters that provides the bare minimum
+     * requirements for the operations to be able to create and manage their
+     * sub-components.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that are to be used in this operation
+     * @param freeTensors Whether operation manages the memory of the Tensors
+     * @param komputeWorkgroup Optional parameter to specify the layout for processing
+     */
+    OpAlgoLhsRhsOut(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+           std::shared_ptr<vk::Device> device,
+           std::shared_ptr<vk::CommandBuffer> commandBuffer,
+           std::vector<std::shared_ptr<Tensor>> tensors,
+           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup());
+
+    /**
+     * Default destructor, which is in charge of destroying the algorithm
+     * components but does not destroy the underlying tensors
+     */
+    virtual ~OpAlgoLhsRhsOut() override;
+
+    /**
+     * The init function is responsible for ensuring that all of the tensors
+     * provided are aligned with requirements such as LHS, RHS and Output
+     * tensors, and  creates the algorithm component which processes the
+     * computation.
+     */
+    virtual void init() override;
+
+    /**
+     * This records the commands that are to be sent to the GPU. This includes
+     * the barriers that ensure the memory has been copied before going in and
+     * out of the shader, as well as the dispatch operation that sends the
+     * shader processing to the gpu. This function also records the GPU memory
+     * copy of the output data for the staging buffer so it can be read by the
+     * host.
+     */
+    virtual void record() override;
+
+    /**
+     * Executes after the recorded commands are submitted, and performs a copy
+     * of the GPU Device memory into the staging buffer so the output data can
+     * be retrieved.
+     */
+    virtual void postEval() override;
+
+  protected:
+    // -------------- NEVER OWNED RESOURCES
+    std::shared_ptr<Tensor> mTensorLHS; ///< Reference to the parameter used in the left hand side equation of the shader
+    std::shared_ptr<Tensor> mTensorRHS; ///< Reference to the parameter used in the right hand side equation of the shader
+    std::shared_ptr<Tensor> mTensorOutput; ///< Reference to the parameter used in the output of the shader and will be copied with a staging vector
+
+    // -------------- ALWAYS OWNED RESOURCES
+    std::shared_ptr<Tensor> mTensorOutputStaging; ///< Staging temporary tensor user do to copy the output of the tensor
+};
+
+} // End namespace kp
+
+#include <fstream>
+
+#if RELEASE
+
+#endif
+
+namespace kp {
+
+/**
+ * Operation that performs multiplication on two tensors and outpus on third
+ * tensor.
+ */
+class OpMult : public OpAlgoBase
+{
+  public:
+    /**
+     *  Base constructor, should not be used unless explicitly intended.
+     */
+    OpMult() {
+
+    }
+
+    /**
+     * Default constructor with parameters that provides the bare minimum
+     * requirements for the operations to be able to create and manage their
+     * sub-components.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that are to be used in this operation
+     * @param komputeWorkgroup Optional parameter to specify the layout for processing
+     */
+    OpMult(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+           std::shared_ptr<vk::Device> device,
+           std::shared_ptr<vk::CommandBuffer> commandBuffer,
+           std::vector<std::shared_ptr<Tensor>> tensors,
+           KomputeWorkgroup komputeWorkgroup = KomputeWorkgroup())
+      : OpAlgoBase(physicalDevice, device, commandBuffer, tensors, "", komputeWorkgroup)
+    {
+        SPDLOG_DEBUG("Kompute OpMult constructor with params");
+
+#ifndef RELEASE
+        this->mShaderFilePath = "shaders/glsl/opmult.comp";
+#endif
+    }
+
+#if RELEASE
+    /**
+     * If RELEASE=1 it will be using the static version of the shader which is 
+     * loaded using this file directly. Otherwise it should not override the function.
+     */
+    std::vector<char> fetchSpirvBinaryData() override
+    {
+        SPDLOG_WARN(
+          "Kompute OpMult Running shaders directly from header");
+
+        return std::vector<char>(
+          shader_data::shaders_glsl_opmult_comp_spv,
+          shader_data::shaders_glsl_opmult_comp_spv +
+            kp::shader_data::shaders_glsl_opmult_comp_spv_len);
+
+    }
+#endif
+
+    /**
+     * Default destructor, which is in charge of destroying the algorithm
+     * components but does not destroy the underlying tensors
+     */
+    ~OpMult() override {
+        SPDLOG_DEBUG("Kompute OpMult destructor started");
+    }
+
+};
+
+} // End namespace kp
+
+namespace kp {
+
+/**
+    Operation that copies the data from the first tensor to the rest of the tensors provided, using a record command for all the vectors. This operation does not own/manage the memory of the tensors passed to it. The operation must only receive tensors of type 
+*/
+class OpTensorCopy : public OpBase
+{
+  public:
+    OpTensorCopy();
+
+    /**
+     * Default constructor with parameters that provides the core vulkan resources and the tensors that will be used in the operation.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that will be used to create in operation.
+     */
+    OpTensorCopy(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+                   std::shared_ptr<vk::Device> device,
+                   std::shared_ptr<vk::CommandBuffer> commandBuffer,
+                   std::vector<std::shared_ptr<Tensor>> tensors);
+
+    /**
+     * Default destructor. This class does not manage memory so it won't be expecting the parent to perform a release.
+     */
+    ~OpTensorCopy() override;
+
+    /**
+     * Performs basic checks such as ensuring there are at least two tensors provided, that they are initialised and that they are not of type TensorTypes::eStorage.
+     */
+    void init() override;
+
+    /**
+     * Records the copy commands from the first tensor into all the other tensors provided. Also optionally records a barrier.
+     */
+    void record() override;
+
+    /**
+     * Does not perform any preEval commands.
+     */
+    virtual void preEval() override;
+
+    /**
+     * Copies the local vectors for all the tensors to sync the data with the gpu.
+     */
+    virtual void postEval() override;
+
+  private:
+};
+
+} // End namespace kp
+
+namespace kp {
+
+/**
+    Operation that syncs tensor's device by mapping local data into the device memory. For TensorTypes::eDevice it will use a staging tensor to perform the copy. For TensorTypes::eStaging it will only copy the data and perform a map, which will be executed during the record (as opposed to during the sequence eval/submit). This function cannot be carried out for TensorTypes::eStaging.
+*/
+class OpTensorSyncDevice : public OpBase
+{
+  public:
+    OpTensorSyncDevice();
+
+    /**
+     * Default constructor with parameters that provides the core vulkan resources and the tensors that will be used in the operation. The tensos provided cannot be of type TensorTypes::eStorage.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that will be used to create in operation.
+     */
+    OpTensorSyncDevice(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+                   std::shared_ptr<vk::Device> device,
+                   std::shared_ptr<vk::CommandBuffer> commandBuffer,
+                   std::vector<std::shared_ptr<Tensor>> tensors);
+
+    /**
+     * Default destructor. This class does not manage memory so it won't be expecting the parent to perform a release.
+     */
+    ~OpTensorSyncDevice() override;
+
+    /**
+     * Performs basic checks such as ensuring that there is at least one tensor provided, that they are initialized and that they are not of type TensorTpes::eStaging. For staging tensors in host memory, the map is performed during the init function.
+     */
+    void init() override;
+
+    /**
+     * For device tensors, it records the copy command to the device tensor from the temporary staging tensor.
+     */
+    void record() override;
+
+    /**
+     * Does not perform any preEval commands.
+     */
+    virtual void preEval() override;
+
+    /**
+     * Does not perform any postEval commands.
+     */
+    virtual void postEval() override;
+
+  private:
+    // Never owned resources
+    std::vector<std::shared_ptr<Tensor>> mStagingTensors;
+};
+
+} // End namespace kp
+
+namespace kp {
+
+/**
+    Operation that syncs tensor's local data by mapping the data from device memory into the local vector. For TensorTypes::eDevice it will use a staging tensor to perform the copy. For TensorTypes::eStaging it will only copy the data and perform a map, which will be executed during the postSubmit (there will be no copy during the sequence eval/submit). This function cannot be carried out for TensorTypes::eStaging.
+*/
+class OpTensorSyncLocal : public OpBase
+{
+  public:
+    OpTensorSyncLocal();
+
+    /**
+     * Default constructor with parameters that provides the core vulkan resources and the tensors that will be used in the operation. The tensors provided cannot be of type TensorTypes::eStorage.
+     *
+     * @param physicalDevice Vulkan physical device used to find device queues
+     * @param device Vulkan logical device for passing to Algorithm
+     * @param commandBuffer Vulkan Command Buffer to record commands into
+     * @param tensors Tensors that will be used to create in operation.
+     */
+    OpTensorSyncLocal(std::shared_ptr<vk::PhysicalDevice> physicalDevice,
+                   std::shared_ptr<vk::Device> device,
+                   std::shared_ptr<vk::CommandBuffer> commandBuffer,
+                   std::vector<std::shared_ptr<Tensor>> tensors);
+
+    /**
+     * Default destructor. This class manages the memory of the staging tensors it owns but these are released in the postSubmit, before it arrives to the destructor.
+     */
+    ~OpTensorSyncLocal() override;
+
+    /**
+     * Performs basic checks such as ensuring that there is at least one tensor provided, that they are initialized and that they are not of type TensorTpes::eStaging.
+     */
+    void init() override;
+
+    /**
+     * For device tensors, it records the copy command into the staging tensor from the device tensor.
+     */
+    void record() override;
+
+    /**
+     * Does not perform any preEval commands.
+     */
+    virtual void preEval() override;
+
+    /**
+     * For host tensors it performs the map command from the host memory into local memory.
+     */
+    virtual void postEval() override;
+
+  private:
+    // Never owned resources
+    std::vector<std::shared_ptr<Tensor>> mStagingTensors;
+};
+
+} // End namespace kp