aboutsummaryrefslogtreecommitdiff
path: root/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/core/NEON/kernels/NEWeightsReshapeKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEWeightsReshapeKernel.cpp177
1 files changed, 0 insertions, 177 deletions
diff --git a/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp b/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp
deleted file mode 100644
index 9bef9c30d9..0000000000
--- a/src/core/NEON/kernels/NEWeightsReshapeKernel.cpp
+++ /dev/null
@@ -1,177 +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/NEON/kernels/NEWeightsReshapeKernel.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Validate.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-namespace arm_compute
-{
-namespace
-{
-TensorShape get_output_shape(const ITensorInfo *input, bool has_bias)
-{
- TensorShape output_shape{ input->tensor_shape() };
-
- output_shape.collapse(3);
- const size_t tmp_dim = output_shape[0];
- output_shape.set(0, output_shape[1]);
- output_shape.set(1, tmp_dim + (has_bias ? 1 : 0));
-
- return output_shape;
-}
-
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *biases, const ITensorInfo *output)
-{
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
- //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use CPU FP16 instructions.
- ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
-
- if(biases != nullptr)
- {
- ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized_asymmetric(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(), get_output_shape(input, biases != nullptr));
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
- }
-
- return Status{};
-}
-
-std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input)
-{
- Window window = calculate_max_window(*input, Steps());
- window.set(Window::DimX, Window::Dimension(0, input->dimension(0), input->dimension(0)));
- window.set(Window::DimY, Window::Dimension(0, input->dimension(1), input->dimension(1)));
- window.set(Window::DimZ, Window::Dimension(0, input->dimension(2), input->dimension(2)));
-
- // The NEConvolutionLayerWeightsReshapeKernel doesn't need padding so update_window_and_padding() can be skipped
-
- return std::make_pair(Status{}, window);
-}
-} // namespace
-
-NEWeightsReshapeKernel::NEWeightsReshapeKernel()
- : _input(nullptr), _bias(nullptr), _output(nullptr)
-{
-}
-
-void NEWeightsReshapeKernel::configure(const ITensor *input, const ITensor *bias, ITensor *output)
-{
- 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(get_output_shape(input->info(), (bias != nullptr))));
-
- // Perform validation step
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(),
- (bias != nullptr) ? bias->info() : nullptr,
- output->info()));
-
- _input = input;
- _bias = bias;
- _output = output;
-
- // Configure kernel
- auto win_config = validate_and_configure_window(input->info());
- ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
- INEKernel::configure(win_config.second);
-}
-
-Status NEWeightsReshapeKernel::validate(const ITensorInfo *input, const ITensorInfo *biases, const ITensorInfo *output)
-{
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, biases, output));
- ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get()).first);
-
- return Status{};
-}
-
-void NEWeightsReshapeKernel::run(const Window &window, const ThreadInfo &info)
-{
- ARM_COMPUTE_UNUSED(info);
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
-
- const unsigned int kernel_size_x = _input->info()->dimension(0);
- const unsigned int kernel_size_y = _input->info()->dimension(1);
- const unsigned int kernel_depth = _input->info()->dimension(2);
- const unsigned int input_stride_x = _input->info()->strides_in_bytes().x();
- const unsigned int input_stride_y = _input->info()->strides_in_bytes().y();
- const unsigned int input_stride_z = _input->info()->strides_in_bytes().z();
- const unsigned int output_stride_y = _output->info()->strides_in_bytes().y();
-
- // Create iterators
- Iterator in(_input, window);
- execute_window_loop(window, [&](const Coordinates & id)
- {
- // Get column index
- const int kernel_idx = id[3];
- const int kernel_idz = id[4];
-
- // Setup pointers
- const uint8_t *tmp_input_ptr = in.ptr();
- uint8_t *tmp_output_ptr = _output->ptr_to_element(Coordinates(kernel_idx, 0, kernel_idz));
- const uint8_t *curr_input_row_ptr = tmp_input_ptr;
- const uint8_t *curr_input_depth_ptr = tmp_input_ptr;
-
- // Linearize volume
- for(unsigned int d = 0; d < kernel_depth; ++d)
- {
- for(unsigned int j = 0; j < kernel_size_y; ++j)
- {
- for(unsigned int i = 0; i < kernel_size_x; ++i)
- {
- std::memcpy(tmp_output_ptr, tmp_input_ptr, _input->info()->element_size());
- tmp_input_ptr += input_stride_x;
- tmp_output_ptr += output_stride_y;
- }
- curr_input_row_ptr += input_stride_y;
- tmp_input_ptr = curr_input_row_ptr;
- }
- curr_input_depth_ptr += input_stride_z;
- curr_input_row_ptr = curr_input_depth_ptr;
- tmp_input_ptr = curr_input_depth_ptr;
- }
-
- // Add bias
- if(_bias != nullptr)
- {
- std::memcpy(tmp_output_ptr, _bias->ptr_to_element(Coordinates(kernel_idx, kernel_idz)), _input->info()->element_size());
- }
- },
- in);
-}
-} // namespace arm_compute
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-03 16:05:33 +0000