diff options
Diffstat (limited to 'src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp | 33 |
1 files changed, 9 insertions, 24 deletions
diff --git a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp index ad5bfd8dd2..c8c18f35db 100644 --- a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2021 Arm Limited. + * Copyright (c) 2017-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -31,7 +31,6 @@ #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/core/utils/quantization/AsymmHelpers.h" #include "arm_compute/runtime/CL/CLScheduler.h" -#include "src/core/experimental/PostOpUtils.h" #include "src/core/helpers/MemoryHelpers.h" #include "src/gpu/cl/operators/ClGemmConv2d.h" #include "support/Cast.h" @@ -69,24 +68,19 @@ CLGEMMConvolutionLayer::CLGEMMConvolutionLayer(std::shared_ptr<IMemoryManager> m CLGEMMConvolutionLayer::~CLGEMMConvolutionLayer() = default; void CLGEMMConvolutionLayer::configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info, - const Size2D &dilation, const ActivationLayerInfo &act_info, unsigned int num_groups, const experimental::PostOpList<ICLTensor *> &post_ops) + const Size2D &dilation, const ActivationLayerInfo &act_info, unsigned int num_groups) { - configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, weights_info, dilation, act_info, num_groups, post_ops); + configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, weights_info, dilation, act_info, num_groups); } void CLGEMMConvolutionLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, - const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, unsigned int num_groups, const experimental::PostOpList<ICLTensor *> &post_ops) + const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, unsigned int num_groups) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); - _impl->weights = weights; - _impl->op = std::make_unique<opencl::ClGemmConv2d>(); - // Convert post op arguments to ITensorInfo - auto transformed_post_ops = experimental::transform_post_op_list_arguments<ICLTensor *, ITensorInfo *>(post_ops, [](auto tensor) - { - return tensor->info(); - }); - const Conv2dInfo conv2d_info = Conv2dInfo(conv_info, dilation, act_info, false, num_groups, transformed_post_ops); + _impl->weights = weights; + _impl->op = std::make_unique<opencl::ClGemmConv2d>(); + const Conv2dInfo conv2d_info = Conv2dInfo(conv_info, dilation, act_info, false, num_groups); _impl->op->configure(compile_context, input->info(), weights->info(), (biases != nullptr ? biases->info() : nullptr), output->info(), conv2d_info, weights_info); _impl->run_pack = @@ -96,15 +90,6 @@ void CLGEMMConvolutionLayer::configure(const CLCompileContext &compile_context, { TensorType::ACL_SRC_2, biases }, { TensorType::ACL_DST, output } }; - // Add post op tensors - size_t post_op_tensor_index = 0; - for(const auto &op : post_ops.get_list()) - { - for(auto &tensor : op->arguments()) - { - _impl->run_pack.add_const_tensor(experimental::get_post_op_arg_type(post_op_tensor_index++), *tensor); - } - } _impl->prep_pack = { { TensorType::ACL_SRC_1, weights }, @@ -115,9 +100,9 @@ void CLGEMMConvolutionLayer::configure(const CLCompileContext &compile_context, } Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, - const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, unsigned int num_groups, const experimental::PostOpList<ITensorInfo *> &post_ops) + const WeightsInfo &weights_info, const Size2D &dilation, const ActivationLayerInfo &act_info, unsigned int num_groups) { - const Conv2dInfo conv2d_info = Conv2dInfo(conv_info, dilation, act_info, false, num_groups, post_ops); + const Conv2dInfo conv2d_info = Conv2dInfo(conv_info, dilation, act_info, false, num_groups); return opencl::ClGemmConv2d::validate(input, weights, biases, output, conv2d_info, weights_info); } |