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https://github.com/ROCm/composable_kernel.git
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Unified conv3D API + support for all data types. (#133)
* Convolution ND
* Code unification across dimensions for generating tensor descriptors.
* Example
* Instances
* Move convnd f32 instance file to comply with repo structure.
* Conv 1D tensor layouts.
* Formatting and use ReferenceConv
* Reference ConvFwd supporting 1D and 2D convolution.
* Debug printing TensorLayout name.
* Conv fwd 1D instance f32
* Refactor conv ND example.
Needed to support various conv dimensio.
Needed to support various conv dimensions
* Rename conv nd example director to prevent conflicts.
* Refactor some common utility to single file.
Plus some tests.
* Refactor GetHostTensorDescriptor + UT.
* Add 1D test case.
* Test reference convolution 1d/2d
* Remove some leftovers.
* Fix convolution example error for 1D
* Refactor test check errors utility function.
* Test Conv2D Fwd XDL
* More UT for 1D case.
* Parameterize input & weight initializers.
* Rename example to prevent conflicts.
* Split convnd instance into separate files for 1d/2d
* Address review comments.
* Fix data type for flops/gbytes calculations.
* Assign example number 11.
* 3D cases for convolution utility functions.
* 3D reference convolution.
* Add support for 3D convolution.
* Check for inputs bigger than 2GB.
* Formatting
* Support for bf16/f16/f32/i8 - conv instances + UT.
* Use check_err from test_util.hpp.
* Split convnd test into separate files for each dim.
* Fix data generation and use proper instances.
* Formatting
* Skip tensor initialization if not necessary.
* Fix CMakefiles.
* Remove redundant conv2d_fwd test.
* Lower problem size for conv3D UT.
* 3D case for convnd example.
* Remove leftovers after merge.
* Add Conv Specialization string to GetTypeString
* Skip instance causing numerical errors.
* Small fixes.
* Remove redundant includes.
* Fix namespace name error.
* Script for automatic testing and logging convolution fwd UTs
* Comment out numactl cmd.
* Refine weights initalization and relax rtol for fp16
* Fix weights initialization for int8.
* Add type_convert when store output in ref conv 1D.
* Get back old conv2d_fwd_xdl operation.
* Silence conv debug print.
* format
* clean
* clean
* Fix merge.
* Fix namespace for check_err
Co-authored-by: Adam Osewski <aosewski@amd.com>
Co-authored-by: Chao Liu <chao.liu2@amd.com>
[ROCm/composable_kernel commit: f91579aab6]
This commit is contained in:
@@ -5,33 +5,10 @@
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#include "config.hpp"
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#include "conv_utils.hpp"
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#include "tensor_layout.hpp"
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#include "test_util.hpp"
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namespace {
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template <typename T>
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bool cmp_vec(const std::vector<T>& out, const std::vector<T>& ref, const std::string& msg)
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{
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if(out.size() != ref.size())
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{
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std::cout << "out.size() != ref.size(), :" << out.size() << " != " << ref.size()
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<< std::endl
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<< msg << std::endl;
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return false;
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}
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for(std::size_t i = 0; i < ref.size(); ++i)
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{
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if(out[i] != ref[i])
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{
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std::cout << "out[" << i << "] != ref[" << i << "]: " << out[i] << "!=" << ref[i]
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<< std::endl
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<< msg << std::endl;
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return false;
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}
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}
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return true;
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}
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bool TestConvParams_GetOutputSpatialLengths()
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{
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bool res{true};
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@@ -43,26 +20,26 @@ bool TestConvParams_GetOutputSpatialLengths()
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// padding {{1,1}, {1,1}}
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ck::conv_util::ConvParams conv_params;
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std::vector<ck::index_t> out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(out_spatial_len,
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std::vector<ck::index_t>{36, 36},
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"Error: ConvParams 2D default constructor.");
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res = test::check_err(out_spatial_len,
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std::vector<ck::index_t>{36, 36},
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"Error: ConvParams 2D default constructor.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{1, 1};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(
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res = test::check_err(
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out_spatial_len, std::vector<ck::index_t>{71, 71}, "Error: ConvParams 2D stride {1,1}.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{2, 2};
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conv_params.input_left_pads = std::vector<ck::index_t>{2, 2};
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conv_params.input_right_pads = std::vector<ck::index_t>{2, 2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(out_spatial_len,
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std::vector<ck::index_t>{37, 37},
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"Error: ConvParams 2D padding left/right {2,2}.");
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res = test::check_err(out_spatial_len,
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std::vector<ck::index_t>{37, 37},
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"Error: ConvParams 2D padding left/right {2,2}.");
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conv_params.conv_filter_dilations = std::vector<ck::index_t>{2, 2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(
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res = test::check_err(
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out_spatial_len, std::vector<ck::index_t>{36, 36}, "Error: ConvParams 2D dilation {2,2}.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{3, 3};
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@@ -70,9 +47,9 @@ bool TestConvParams_GetOutputSpatialLengths()
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conv_params.input_right_pads = std::vector<ck::index_t>{1, 1};
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conv_params.conv_filter_dilations = std::vector<ck::index_t>{2, 2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(out_spatial_len,
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std::vector<ck::index_t>{23, 23},
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"Error: ConvParams 2D strides{3,3}, padding {1,1}, dilations {2,2}.");
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res = test::check_err(out_spatial_len,
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std::vector<ck::index_t>{23, 23},
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"Error: ConvParams 2D strides{3,3}, padding {1,1}, dilations {2,2}.");
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// -------------------------- 1D ------------------------------------
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conv_params.num_dim_spatial = 1;
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@@ -84,25 +61,24 @@ bool TestConvParams_GetOutputSpatialLengths()
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conv_params.input_right_pads = std::vector<ck::index_t>{1};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(
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out_spatial_len, std::vector<ck::index_t>{36}, "Error: ConvParams 1D default constructor.");
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res = test::check_err(out_spatial_len, std::vector<ck::index_t>{36}, "Error: ConvParams 1D.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{1, 1};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res =
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cmp_vec(out_spatial_len, std::vector<ck::index_t>{71}, "Error: ConvParams 1D stride {1}.");
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res = test::check_err(
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out_spatial_len, std::vector<ck::index_t>{71}, "Error: ConvParams 1D stride {1}.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{2};
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conv_params.input_left_pads = std::vector<ck::index_t>{2};
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conv_params.input_right_pads = std::vector<ck::index_t>{2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(out_spatial_len,
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std::vector<ck::index_t>{37},
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"Error: ConvParams 1D padding left/right {2}.");
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res = test::check_err(out_spatial_len,
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std::vector<ck::index_t>{37},
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"Error: ConvParams 1D padding left/right {2}.");
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conv_params.conv_filter_dilations = std::vector<ck::index_t>{2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(
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res = test::check_err(
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out_spatial_len, std::vector<ck::index_t>{36}, "Error: ConvParams 1D dilation {2}.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{3};
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@@ -110,9 +86,52 @@ bool TestConvParams_GetOutputSpatialLengths()
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conv_params.input_right_pads = std::vector<ck::index_t>{1};
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conv_params.conv_filter_dilations = std::vector<ck::index_t>{2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = cmp_vec(out_spatial_len,
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std::vector<ck::index_t>{23},
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"Error: ConvParams 1D strides{3}, padding {1}, dilations {2}.");
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res = test::check_err(out_spatial_len,
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std::vector<ck::index_t>{23},
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"Error: ConvParams 1D strides{3}, padding {1}, dilations {2}.");
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// -------------------------- 3D ------------------------------------
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conv_params.num_dim_spatial = 3;
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conv_params.filter_spatial_lengths = std::vector<ck::index_t>{3, 3, 3};
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conv_params.input_spatial_lengths = std::vector<ck::index_t>{71, 71, 71};
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conv_params.conv_filter_strides = std::vector<ck::index_t>{2, 2, 2};
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conv_params.conv_filter_dilations = std::vector<ck::index_t>{1, 1, 1};
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conv_params.input_left_pads = std::vector<ck::index_t>{1, 1, 1};
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conv_params.input_right_pads = std::vector<ck::index_t>{1, 1, 1};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = test::check_err(
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out_spatial_len, std::vector<ck::index_t>{36, 36, 36}, "Error: ConvParams 3D.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{1, 1, 1};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = test::check_err(out_spatial_len,
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std::vector<ck::index_t>{71, 71, 71},
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"Error: ConvParams 3D stride {1, 1, 1}.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{2, 2, 2};
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conv_params.input_left_pads = std::vector<ck::index_t>{2, 2, 2};
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conv_params.input_right_pads = std::vector<ck::index_t>{2, 2, 2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = test::check_err(out_spatial_len,
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std::vector<ck::index_t>{37, 37, 37},
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"Error: ConvParams 3D padding left/right {2, 2, 2}.");
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conv_params.conv_filter_dilations = std::vector<ck::index_t>{2, 2, 2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = test::check_err(out_spatial_len,
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std::vector<ck::index_t>{36, 36, 36},
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"Error: ConvParams 3D dilation {2, 2, 2}.");
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conv_params.conv_filter_strides = std::vector<ck::index_t>{3, 3, 3};
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conv_params.input_left_pads = std::vector<ck::index_t>{1, 1, 1};
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conv_params.input_right_pads = std::vector<ck::index_t>{1, 1, 1};
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conv_params.conv_filter_dilations = std::vector<ck::index_t>{2, 2, 2};
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out_spatial_len = conv_params.GetOutputSpatialLengths();
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res = test::check_err(
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out_spatial_len,
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std::vector<ck::index_t>{23, 23, 23},
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"Error: ConvParams 3D strides{3, 3, 3}, padding {1, 1, 1}, dilations {2, 2, 2}.");
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return res;
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}
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@@ -123,23 +142,44 @@ bool TestGetHostTensorDescriptor()
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namespace tl = ck::tensor_layout::convolution;
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std::vector<std::size_t> dims{2, 3, 4, 5};
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HostTensorDescriptor h = ck::conv_util::GetHostTensorDescriptor(dims, tl::NHWC{});
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res = cmp_vec(h.GetLengths(), {2, 3, 4, 5}, "Error: wrong NHWC dimensions lengths!");
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res =
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cmp_vec(h.GetStrides(), {3 * 4 * 5, 1, 3 * 5, 3}, "Error: wrong NHWC dimensions strides!");
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res = test::check_err(h.GetLengths(), {2, 3, 4, 5}, "Error: wrong NHWC dimensions lengths!");
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res = test::check_err(
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h.GetStrides(), {3 * 4 * 5, 1, 3 * 5, 3}, "Error: wrong NHWC dimensions strides!");
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h = ck::conv_util::GetHostTensorDescriptor(dims, tl::NCHW{});
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res = cmp_vec(h.GetLengths(), {2, 3, 4, 5}, "Error: wrong NCHW dimensions lengths!");
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res =
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cmp_vec(h.GetStrides(), {3 * 4 * 5, 4 * 5, 5, 1}, "Error: wrong NCHW dimensions strides!");
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res = test::check_err(h.GetLengths(), {2, 3, 4, 5}, "Error: wrong NCHW dimensions lengths!");
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res = test::check_err(
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h.GetStrides(), {3 * 4 * 5, 4 * 5, 5, 1}, "Error: wrong NCHW dimensions strides!");
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dims = std::vector<std::size_t>{2, 3, 4};
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h = ck::conv_util::GetHostTensorDescriptor(dims, tl::NWC{});
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res = cmp_vec(h.GetLengths(), {2, 3, 4}, "Error: wrong NWC dimensions lengths!");
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res = cmp_vec(h.GetStrides(), {3 * 4, 1, 3}, "Error: wrong NWC dimensions strides!");
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res = test::check_err(h.GetLengths(), {2, 3, 4}, "Error: wrong NWC dimensions lengths!");
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res = test::check_err(h.GetStrides(), {3 * 4, 1, 3}, "Error: wrong NWC dimensions strides!");
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h = ck::conv_util::GetHostTensorDescriptor(dims, tl::NCW{});
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res = cmp_vec(h.GetLengths(), {2, 3, 4}, "Error: wrong NCW dimensions lengths!");
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res = cmp_vec(h.GetStrides(), {3 * 4, 4, 1}, "Error: wrong NCW dimensions strides!");
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res = test::check_err(h.GetLengths(), {2, 3, 4}, "Error: wrong NCW dimensions lengths!");
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res = test::check_err(h.GetStrides(), {3 * 4, 4, 1}, "Error: wrong NCW dimensions strides!");
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dims = std::vector<std::size_t>{2, 3, 4, 5, 6};
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h = ck::conv_util::GetHostTensorDescriptor(dims, tl::NDHWC{});
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res = test::check_err(h.GetLengths(), dims, "Error: wrong NDHWC dimensions lengths!");
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res = test::check_err(h.GetStrides(),
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{3 * 4 * 5 * 6, // N
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1, // C
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3 * 5 * 6, // D
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3 * 6, // H
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3}, // W
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"Error: wrong NDHWC dimensions strides!");
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h = ck::conv_util::GetHostTensorDescriptor(dims, tl::NCDHW{});
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res = test::check_err(h.GetLengths(), dims, "Error: wrong NCDHW dimensions lengths!");
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res = test::check_err(h.GetStrides(),
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{3 * 4 * 5 * 6, // N
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4 * 5 * 6, // C
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5 * 6, // D
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6, // H
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1}, // W
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"Error: wrong NCDHW dimensions strides!");
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return res;
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}
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