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authorTeresa Charlin <teresa.charlinreyes@arm.com>2021-04-12 13:57:00 +0100
committerTeresaARM <teresa.charlinreyes@arm.com>2021-04-13 16:49:28 +0000
commit91b7f7423a97f0ae713a13182f289621dad17c43 (patch)
treed29db469f9ef98ac6f1ad889dfbe33fff263e427 /src/core/CL
parent598e3a8f32c68129958b9f6a40c684842f708f8a (diff)
downloadComputeLibrary-91b7f7423a97f0ae713a13182f289621dad17c43.tar.gz
Port CLConvertFullyConnectedWeights to new API
* Replace ICLKernel by IClKernel in other unrelated kernels Resolves partially: COMPMID-4187 Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I173b8f2ac645dbfd7d412f4b058c5c9655c229ee Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5402 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL')
-rw-r--r--src/core/CL/CLKernels.h1
-rw-r--r--src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.cpp121
-rw-r--r--src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h90
3 files changed, 0 insertions, 212 deletions
diff --git a/src/core/CL/CLKernels.h b/src/core/CL/CLKernels.h
index 9676fa6018..f29c768fa3 100644
--- a/src/core/CL/CLKernels.h
+++ b/src/core/CL/CLKernels.h
@@ -33,7 +33,6 @@
#include "src/core/CL/kernels/CLChannelShuffleLayerKernel.h"
#include "src/core/CL/kernels/CLCol2ImKernel.h"
#include "src/core/CL/kernels/CLComparisonKernel.h"
-#include "src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h"
#include "src/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h"
#include "src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h"
#include "src/core/CL/kernels/CLDepthConvertLayerKernel.h"
diff --git a/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.cpp b/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.cpp
deleted file mode 100644
index dcf4e6662e..0000000000
--- a/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.cpp
+++ /dev/null
@@ -1,121 +0,0 @@
-/*
- * Copyright (c) 2018-2020 Arm Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#include "src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Helpers.h"
-#include "src/core/CL/CLValidate.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-#include "support/StringSupport.h"
-
-namespace arm_compute
-{
-CLConvertFullyConnectedWeightsKernel::CLConvertFullyConnectedWeightsKernel()
- : _input(nullptr), _output(nullptr)
-{
-}
-
-void CLConvertFullyConnectedWeightsKernel::configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape,
- DataLayout data_layout)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input, output, original_input_shape, data_layout);
-}
-
-void CLConvertFullyConnectedWeightsKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape,
- DataLayout data_layout)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
- // Output tensor auto initialisation if not yet initialized
- auto_init_if_empty(*output->info(), *input->info()->clone());
-
- auto padding_info = get_padding_info({ input, output });
-
- ARM_COMPUTE_ERROR_THROW_ON(CLConvertFullyConnectedWeightsKernel::validate(input->info(), output->info(), original_input_shape, data_layout));
-
- _input = input;
- _output = output;
-
- const DataLayout input_data_layout = (data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW;
-
- const int width_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::WIDTH);
- const int height_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::HEIGHT);
- const int channel_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::CHANNEL);
-
- const unsigned int num_elems_per_input_plane = original_input_shape[width_idx] * original_input_shape[height_idx];
- const unsigned int num_channels = original_input_shape[channel_idx];
-
- const unsigned int factor_1 = (data_layout == DataLayout::NCHW) ? num_elems_per_input_plane : num_channels;
- const unsigned int factor_2 = (data_layout == DataLayout::NCHW) ? num_channels : num_elems_per_input_plane;
-
- // Set build options
- CLBuildOptions build_opts;
- build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(input->info()->element_size()));
- build_opts.add_option("-DFACTOR_1=" + support::cpp11::to_string(factor_1));
- build_opts.add_option("-DFACTOR_2=" + support::cpp11::to_string(factor_2));
-
- // Create kernel
- _kernel = create_kernel(compile_context, "convert_fc_weights", build_opts.options());
-
- // Configure kernel window
- Window win = calculate_max_window(*input->info(), Steps());
- ICLKernel::configure_internal(win);
-
- ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
-}
-
-Status CLConvertFullyConnectedWeightsKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape,
- DataLayout data_layout)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
- ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
- ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() != 2);
- ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(1) != original_input_shape.total_size_lower(3));
- ARM_COMPUTE_RETURN_ERROR_ON(data_layout == DataLayout::UNKNOWN);
-
- // Checks performed when output is configured
- if(output->total_size() != 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
- }
-
- return Status{};
-}
-
-void CLConvertFullyConnectedWeightsKernel::run(const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
-
- unsigned int idx = 0;
- add_2D_tensor_argument(idx, _input, window);
- add_2D_tensor_argument(idx, _output, window);
- enqueue(queue, *this, window, lws_hint());
-}
-} // namespace arm_compute
diff --git a/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h b/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h
deleted file mode 100644
index d1da793df2..0000000000
--- a/src/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h
+++ /dev/null
@@ -1,90 +0,0 @@
-/*
- * Copyright (c) 2018-2020 Arm Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#ifndef ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H
-#define ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H
-
-#include "src/core/CL/ICLKernel.h"
-
-namespace arm_compute
-{
-class ICLTensor;
-
-/** Interface to convert the 2D Fully Connected weights from NCHW to NHWC or vice versa.
- *
- * @note This function can be applied to the 2D weights used by a Fully Connected layer if:
- * - It follows a Convolution layer
- * - The data layout used by the network does not match the one the model has been trained in.
- *
- * @note This function assumes the weights are already reshaped (transposed)
- */
-class CLConvertFullyConnectedWeightsKernel : public ICLKernel
-{
-public:
- /** Default constructor */
- CLConvertFullyConnectedWeightsKernel();
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLConvertFullyConnectedWeightsKernel(const CLConvertFullyConnectedWeightsKernel &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLConvertFullyConnectedWeightsKernel &operator=(const CLConvertFullyConnectedWeightsKernel &) = delete;
- /** Allow instances of this class to be moved */
- CLConvertFullyConnectedWeightsKernel(CLConvertFullyConnectedWeightsKernel &&) = default;
- /** Allow instances of this class to be moved */
- CLConvertFullyConnectedWeightsKernel &operator=(CLConvertFullyConnectedWeightsKernel &&) = default;
- /** Default destructor */
- ~CLConvertFullyConnectedWeightsKernel() = default;
- /** Set the input and output tensor.
- *
- * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All.
- * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
- * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
- * @param[in] data_layout The data layout the weights have been trained in.
- */
- void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
- /** Set the input and output tensor.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: All.
- * @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
- * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
- * @param[in] data_layout The data layout the weights have been trained in.
- */
- void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
- /** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeightsKernel
- *
- * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All.
- * @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input.
- * @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer).
- * @param[in] data_layout The data layout the weights have been trained in.
- */
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout);
-
- // Inherited methods overridden:
- void run(const Window &window, cl::CommandQueue &queue) override;
-
-private:
- const ICLTensor *_input;
- ICLTensor *_output;
-};
-} // namespace arm_compute
-#endif /*ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H */