| /* |
| * 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/cpu/kernels/CpuWeightsReshapeKernel.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 cpu |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| TensorShape get_output_shape(const ITensorInfo *src, bool has_bias) |
| { |
| TensorShape output_shape{ src->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 *src, const ITensorInfo *biases, const ITensorInfo *dst) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions. |
| ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); |
| |
| if(biases != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized_asymmetric(src->data_type())); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, biases); |
| ARM_COMPUTE_RETURN_ERROR_ON((src->num_dimensions() == 4) && (biases->num_dimensions() != 1)); |
| ARM_COMPUTE_RETURN_ERROR_ON((src->num_dimensions() == 5) && (biases->num_dimensions() != 2)); |
| ARM_COMPUTE_RETURN_ERROR_ON((src->num_dimensions() == 4) && (biases->dimension(0) != src->tensor_shape()[3])); |
| ARM_COMPUTE_RETURN_ERROR_ON((src->num_dimensions() == 5) && (biases->dimension(0) != src->tensor_shape()[3] || biases->dimension(1) != src->tensor_shape()[4])); |
| } |
| |
| // Checks performed when output is configured |
| if(dst->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), get_output_shape(src, biases != nullptr)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| void CpuWeightsReshapeKernel::configure(const ITensorInfo *src, const ITensorInfo *biases, ITensorInfo *dst) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| |
| // Output tensor auto inizialitation if not yet initialized |
| auto_init_if_empty(*dst, src->clone()->set_tensor_shape(get_output_shape(src, (biases != nullptr)))); |
| |
| // Perform validation step |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, |
| biases, |
| dst)); |
| |
| // Configure kernel |
| Window window = calculate_max_window(*src, Steps()); |
| window.set(Window::DimX, Window::Dimension(0, src->dimension(0), src->dimension(0))); |
| window.set(Window::DimY, Window::Dimension(0, src->dimension(1), src->dimension(1))); |
| window.set(Window::DimZ, Window::Dimension(0, src->dimension(2), src->dimension(2))); |
| ICpuKernel::configure(window); |
| } |
| |
| Status CpuWeightsReshapeKernel::validate(const ITensorInfo *src, const ITensorInfo *biases, const ITensorInfo *dst) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, biases, dst)); |
| return Status{}; |
| } |
| |
| void CpuWeightsReshapeKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window); |
| |
| auto src = tensors.get_const_tensor(TensorType::ACL_SRC); |
| auto biases = tensors.get_const_tensor(TensorType::ACL_BIAS); |
| auto dst = tensors.get_tensor(TensorType::ACL_DST); |
| |
| const unsigned int kernel_size_x = src->info()->dimension(0); |
| const unsigned int kernel_size_y = src->info()->dimension(1); |
| const unsigned int kernel_depth = src->info()->dimension(2); |
| const unsigned int input_stride_x = src->info()->strides_in_bytes().x(); |
| const unsigned int input_stride_y = src->info()->strides_in_bytes().y(); |
| const unsigned int input_stride_z = src->info()->strides_in_bytes().z(); |
| const unsigned int output_stride_y = dst->info()->strides_in_bytes().y(); |
| |
| // Create iterators |
| Iterator in(src, 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 = dst->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, src->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(biases != nullptr) |
| { |
| std::memcpy(tmp_output_ptr, biases->ptr_to_element(Coordinates(kernel_idx, kernel_idz)), src->info()->element_size()); |
| } |
| }, |
| in); |
| } |
| const char *CpuWeightsReshapeKernel::name() const |
| { |
| return "CpuWeightsReshapeKernel"; |
| } |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |