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-rw-r--r--src/core/CL/kernels/CLWeightsReshapeKernel.cpp166
1 files changed, 0 insertions, 166 deletions
diff --git a/src/core/CL/kernels/CLWeightsReshapeKernel.cpp b/src/core/CL/kernels/CLWeightsReshapeKernel.cpp
deleted file mode 100644
index d55c548b99..0000000000
--- a/src/core/CL/kernels/CLWeightsReshapeKernel.cpp
+++ /dev/null
@@ -1,166 +0,0 @@
-/*
- * Copyright (c) 2017-2021 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/CLWeightsReshapeKernel.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-#include "support/StringSupport.h"
-
-namespace arm_compute
-{
-using namespace arm_compute::misc::shape_calculator;
-
-namespace
-{
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *biases, const ITensorInfo *output, unsigned int num_groups)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
- ARM_COMPUTE_RETURN_ERROR_ON(num_groups == 0);
- ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::NHWC && num_groups > 1);
- ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4 && num_groups > 1);
- ARM_COMPUTE_RETURN_ERROR_ON((input->dimension(3) % num_groups) != 0);
-
- if(biases != nullptr)
- {
- ARM_COMPUTE_RETURN_ERROR_ON(!is_data_type_float(input->data_type()));
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases);
- ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 4) && (biases->num_dimensions() != 1));
- ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 5) && (biases->num_dimensions() != 2));
- ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 4) && (biases->dimension(0) != input->tensor_shape()[3]));
- ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 5) && (biases->dimension(0) != input->tensor_shape()[3] || biases->dimension(1) != input->tensor_shape()[4]));
- }
-
- // Checks performed when output is configured
- if(output->total_size() != 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), compute_weights_reshaped_shape(*input, biases != nullptr, num_groups));
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
- }
-
- return Status{};
-}
-} // namespace
-
-CLWeightsReshapeKernel::CLWeightsReshapeKernel()
- : _input(nullptr), _biases(nullptr), _output(nullptr)
-{
-}
-
-void CLWeightsReshapeKernel::configure(const ICLTensor *input, const ICLTensor *biases, ICLTensor *output, unsigned int num_groups)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input, biases, output, num_groups);
-}
-
-void CLWeightsReshapeKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *biases, ICLTensor *output, unsigned int num_groups)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
- // Output tensor auto inizialitation if not yet initialized
- auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(compute_weights_reshaped_shape(*input->info(), (biases != nullptr), num_groups)));
-
- // Perform validation step
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(),
- (biases != nullptr) ? biases->info() : nullptr,
- output->info(), num_groups));
-
- auto padding_info = get_padding_info({ input, biases, output });
-
- const DataType data_type = input->info()->data_type();
-
- _biases = biases;
- _output = output;
- _input = input;
-
- // Create build options
- CLBuildOptions build_opts;
- build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(data_type)));
- build_opts.add_option("-DNUM_GROUPS=" + support::cpp11::to_string(num_groups));
- build_opts.add_option_if(biases != nullptr, "-DHAS_BIAS");
-
- // Create kernel
- _kernel = create_kernel(compile_context, "reshape_to_columns", build_opts.options());
-
- // Configure window
- Window win = calculate_max_window(*input->info(), Steps());
- ICLKernel::configure_internal(win);
-
- ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
-}
-
-Status CLWeightsReshapeKernel::validate(const ITensorInfo *input, const ITensorInfo *biases, const ITensorInfo *output, unsigned int num_groups)
-{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, biases, output, num_groups));
- return Status{};
-}
-
-void CLWeightsReshapeKernel::run(const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
-
- Window out_window;
- out_window.use_tensor_dimensions(_output->info()->tensor_shape());
-
- Window in_slice = window.first_slice_window_3D();
- Window out_slice = out_window.first_slice_window_2D();
-
- Window biases_window;
- Window biases_slice;
-
- unsigned int idx = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor();
- idx += (_biases != nullptr) ? num_arguments_per_1D_tensor() : 0;
- _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(0));
- _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(1));
- _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(2));
- _kernel.setArg<cl_uint>(idx++, _input->info()->dimension(3));
- _kernel.setArg<cl_uint>(idx++, _output->info()->strides_in_bytes().z());
-
- if(_biases != nullptr)
- {
- biases_window.use_tensor_dimensions(_biases->info()->tensor_shape());
- biases_slice = biases_window.first_slice_window_1D();
- }
-
- do
- {
- // Set arguments
- unsigned idx = 0;
- add_3D_tensor_argument(idx, _input, in_slice);
- add_2D_tensor_argument(idx, _output, out_slice);
- if(_biases != nullptr)
- {
- add_1D_tensor_argument(idx, _biases, biases_slice);
- ARM_COMPUTE_UNUSED(biases_window.slide_window_slice_1D(biases_slice));
- }
-
- // Run kernel
- enqueue(queue, *this, in_slice, lws_hint());
- }
- while(window.slide_window_slice_4D(in_slice) && out_window.slide_window_slice_2D(out_slice));
-}
-} // namespace arm_compute
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