diff options
Diffstat (limited to 'src/cpu/kernels/CpuWeightsReshapeKernel.cpp')
| -rw-r--r-- | src/cpu/kernels/CpuWeightsReshapeKernel.cpp | 174 |
1 files changed, 174 insertions, 0 deletions
diff --git a/src/cpu/kernels/CpuWeightsReshapeKernel.cpp b/src/cpu/kernels/CpuWeightsReshapeKernel.cpp new file mode 100644 index 0000000000..297ba63826 --- /dev/null +++ b/src/cpu/kernels/CpuWeightsReshapeKernel.cpp @@ -0,0 +1,174 @@ +/* + * 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 |