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Diffstat (limited to 'src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp183
1 files changed, 0 insertions, 183 deletions
diff --git a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp
deleted file mode 100644
index f9f4839688..0000000000
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.cpp
+++ /dev/null
@@ -1,183 +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 "arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel.h"
-
-#include "arm_compute/core/AccessWindowStatic.h"
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
-#include "support/StringSupport.h"
-
-namespace arm_compute
-{
-namespace
-{
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output,
- const GEMMLowpOutputStageInfo *info)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32);
- ARM_COMPUTE_RETURN_ERROR_ON((info->output_data_type != DataType::QASYMM8) && (info->output_data_type != DataType::QASYMM8_SIGNED));
- ARM_COMPUTE_RETURN_ERROR_ON(info->gemmlowp_max_bound > std::get<1>(quantization::get_min_max_values_from_quantized_data_type(info->output_data_type)));
- ARM_COMPUTE_RETURN_ERROR_ON(info->gemmlowp_min_bound < std::get<0>(quantization::get_min_max_values_from_quantized_data_type(info->output_data_type))
- || info->gemmlowp_min_bound > info->gemmlowp_max_bound);
-
- // Check biases if exist
- if(bias != nullptr)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias);
- ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1);
- ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) != bias->dimension(0));
- }
-
- if(output->total_size() != 0)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() != info->output_data_type, "Mismatching output data type");
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
- }
-
- return Status{};
-}
-
-std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output, DataType output_data_type)
-{
- // Output auto inizialitation if not yet initialized
- auto_init_if_empty(*output, input->clone()->set_data_type(output_data_type));
-
- constexpr unsigned int num_elems_processed_per_iteration = 4;
-
- // Output auto inizialitation if not yet initialized
- auto_init_if_empty(*output, input->clone()->set_data_type(DataType::QASYMM8));
-
- // Configure kernel window
- Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
-
- AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
-
- bool window_changed = update_window_and_padding(win,
- input_access);
-
- AccessWindowHorizontal output_result_access(output, 0, num_elems_processed_per_iteration);
- window_changed = window_changed || update_window_and_padding(win, output_result_access);
- output_result_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
-
- if(bias != nullptr)
- {
- AccessWindowStatic bias_access(bias, 0, 0, ceil_to_multiple(bias->dimension(0), num_elems_processed_per_iteration), bias->tensor_shape()[1]);
- window_changed = window_changed || update_window_and_padding(win, bias_access);
- }
-
- Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
- return std::make_pair(err, win);
-}
-} // namespace
-
-class Coordinates;
-CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel()
- : _input(nullptr), _bias(nullptr), _output(nullptr)
-{
-}
-
-Status CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output,
- const GEMMLowpOutputStageInfo *info)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output, info));
-
- return Status{};
-}
-
-void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
- const GEMMLowpOutputStageInfo *info)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, info);
-}
-
-void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output,
- const GEMMLowpOutputStageInfo *info)
-{
- // Perform validate step
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (bias != nullptr) ? bias->info() : nullptr, output->info(), info));
-
- _input = input;
- _bias = bias;
- _output = output;
-
- auto min = info->gemmlowp_min_bound;
- auto max = info->gemmlowp_max_bound;
-
- // Set the arguments to pass at compile time
- CLBuildOptions build_opts;
- build_opts.add_option("-DREAL_MULTIPLIER=" + float_to_string_with_full_precision(info->gemmlowp_real_multiplier));
- build_opts.add_option("-DOUTPUT_OFFSET=" + support::cpp11::to_string(info->gemmlowp_offset));
- build_opts.add_option("-DOUTPUT_DATA_TYPE=" + get_cl_type_from_data_type(output->info()->data_type()));
- build_opts.add_option_if((min > 0), "-DMIN_BOUND=" + support::cpp11::to_string(min));
- build_opts.add_option_if((max < 255), "-DMAX_BOUND=" + support::cpp11::to_string(max));
- build_opts.add_option_if(bias != nullptr, "-DADD_BIAS");
-
- // Create kernel
- _kernel = create_kernel(compile_context, "gemmlowp_output_stage_quantize_down_float", build_opts.options());
-
- // Configure kernel window
- auto win_config = validate_and_configure_window(input->info(), (bias != nullptr) ? bias->info() : nullptr, output->info(), info->output_data_type);
- ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
- ICLKernel::configure_internal(win_config.second);
-}
-
-void CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::run(const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
-
- // Create input window
- Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
- Window slice = collapsed.first_slice_window_3D();
-
- // Setup bias slice
- unsigned int idx1 = num_arguments_per_3D_tensor();
- if(_bias != nullptr)
- {
- Window biases_slice(slice);
- biases_slice.set(Window::DimY, Window::Dimension(0, 1, 1));
- biases_slice.set(Window::DimZ, Window::Dimension(0, 1, 1));
- add_1D_tensor_argument(idx1, _bias, biases_slice);
- }
-
- do
- {
- unsigned int idx = 0;
- add_3D_tensor_argument(idx, _input, slice);
- add_3D_tensor_argument(idx1, _output, slice);
- enqueue(queue, *this, slice, lws_hint());
- }
- while(collapsed.slide_window_slice_3D(slice));
-}
-} // namespace arm_compute