Batchnorm-forward and Batchnorm-infer Implemented using generic kernels (#320)

* Implement multiple-reduction in one kernel (kernels, device ops, examples)

* Add generic elementwise kernel and device interface

* Add generator for normal-distributed data initialization

* Add host refer implementation of batchnorm-forward and batchnorm-infer

* Add examples for implementing batchnorm-forward and batchnorm-infer using generic kernels

* Remove un-needed including in batchnorm example

* Renaming generic_elementwise to elementiwise in kernel and device classes/functions

* Change in gemm_layernorm examples to use DeviceElementwise instead of Device5AryElementwise

* Change in exampe 19_binary_elementwise to use DeviceElementwise instead of DeviceBinaryElementwise

* Change in device_cgemm_4gemm_xdl_cshuffle.hpp to use kernel_elementwise instead of kernel_binary_elementwise

* Add DeviceElementwiseBase and use it in device_normalize_instance.cpp

* Removing and renaming files

* Update to synchronize gemm_layernorm client example to the generic element-wise device op API

* Update to synchronize with the latest headers directory and HostTensorDescriptor interface renaming

* Merge two static member functions in device_elementwise.hpp

* Remove unary_elementwise_1d kernel and device
This commit is contained in:
Qianfeng
2022-08-15 23:11:02 +08:00
committed by GitHub
parent 5ee304595c
commit 53ea4713af
47 changed files with 5195 additions and 1707 deletions

View File

@@ -47,3 +47,6 @@ add_subdirectory(29_batched_gemm_bias_e_permute)
add_subdirectory(30_grouped_convnd_fwd_bias_relu_add)
add_subdirectory(31_batched_gemm_gemm)
add_subdirectory(32_batched_gemm_softmax_gemm)
add_subdirectory(33_multiple_reduce)
add_subdirectory(34_batchnorm)