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| author | Jakub Sujak <jakub.sujak@arm.com> | 2023-06-16 09:52:50 +0100 |
|---|---|---|
| committer | Jakub Sujak <jakub.sujak@arm.com> | 2023-06-26 13:07:05 +0000 |
| commit | 8c49f16e5909a9bd5dc6e68638d2e2d8acc2fc66 (patch) | |
| tree | 7e6c13c7f4522ea2db1ccdafe7c2858632ee4532 /src/gpu/cl | |
| parent | 7d9a78ebfb3553b95421a0da5e2686a3923748db (diff) | |
| download | ComputeLibrary-8c49f16e5909a9bd5dc6e68638d2e2d8acc2fc66.tar.gz | |
Add helpers to set CKW tensor components as OpenCL kernel arguments
* Define ckw::TensorStorage. The tensor storage represents the type of tensor memory object.
* Add helper functions for setting the CKW TensorComponent and TensorStorage as OpenCL kernel arguments.
* Refactor CL Image2D method for simpler image object creation.
Resolves: COMPMID-5784
Change-Id: I2d37d06783c1dc55f3b5692b44eb49b151f2401c
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9807
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/gpu/cl')
| -rw-r--r-- | src/gpu/cl/kernels/ClDirectConv2dKernel.cpp | 27 |
1 files changed, 6 insertions, 21 deletions
diff --git a/src/gpu/cl/kernels/ClDirectConv2dKernel.cpp b/src/gpu/cl/kernels/ClDirectConv2dKernel.cpp index 68d7e30c9b..f01341c7b5 100644 --- a/src/gpu/cl/kernels/ClDirectConv2dKernel.cpp +++ b/src/gpu/cl/kernels/ClDirectConv2dKernel.cpp @@ -431,35 +431,20 @@ void ClDirectConv2dKernel::run_op(ITensorPack &tensors, const Window &window, cl if(_export_weights_to_cl_image) { - const size_t image_w = weights->info()->dimension(0) / 4; - const size_t image_h = weights->info()->dimension(1) * weights->info()->dimension(2) * weights->info()->dimension(3); - const TensorShape shape2d(image_w, image_h); - const size_t image_row_pitch = weights->info()->strides_in_bytes()[1]; - - // Export cl_buffer to cl_image - weights_cl_image = create_image2d_from_buffer(CLKernelLibrary::get().context(), weights->cl_buffer(), shape2d, weights->info()->data_type(), image_row_pitch, CLImage2DType::ReadOnly); + // Export tensor to cl_image + weights_cl_image = create_image2d_from_tensor(weights, CLImage2DType::ReadOnly); } if(_export_output_to_cl_image) { - const size_t image_w = dst->info()->dimension(0) / 4; - const size_t image_h = dst->info()->dimension(1) * dst->info()->dimension(2) * dst->info()->dimension(3); - const TensorShape shape2d(image_w, image_h); - const size_t image_row_pitch = dst->info()->strides_in_bytes()[1]; - - // Export cl_buffer to cl_image - output_cl_image = create_image2d_from_buffer(CLKernelLibrary::get().context(), dst->cl_buffer(), shape2d, dst->info()->data_type(), image_row_pitch, CLImage2DType::WriteOnly); + // Export tensor to cl_image + output_cl_image = create_image2d_from_tensor(dst, CLImage2DType::WriteOnly); } if(_export_input_to_cl_image) { - const size_t image_w = src->info()->dimension(0) / 4; - const size_t image_h = src->info()->dimension(1) * src->info()->dimension(2) * src->info()->dimension(3); - const TensorShape shape2d(image_w, image_h); - const size_t image_row_pitch = src->info()->strides_in_bytes()[1]; - - // Export cl_buffer to cl_image - input_cl_image = create_image2d_from_buffer(CLKernelLibrary::get().context(), src->cl_buffer(), shape2d, src->info()->data_type(), image_row_pitch, CLImage2DType::ReadOnly); + // Export tensor to cl_image + input_cl_image = create_image2d_from_tensor(src, CLImage2DType::ReadOnly); } unsigned int idx = 0; |