diff options
Diffstat (limited to 'src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp | 269 |
1 files changed, 0 insertions, 269 deletions
diff --git a/src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp b/src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp deleted file mode 100644 index 04406663fc..0000000000 --- a/src/core/NEON/kernels/assembly/NEPoolingAssemblyWrapperKernel.cpp +++ /dev/null @@ -1,269 +0,0 @@ -/* - * Copyright (c) 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/assembly/NEPoolingAssemblyWrapperKernel.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "arm_compute/core/utils/quantization/AsymmHelpers.h" -#include "src/core/CPP/Validate.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/WindowHelpers.h" - -#include <arm_neon.h> - -namespace arm_compute -{ -using namespace arm_compute::misc::shape_calculator; - -void NEPoolingAssemblyWrapperKernel::configure(const ITensorInfo *input, ITensorInfo *output, const PoolingLayerInfo &info, const CPUInfo &cpu_info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - // Output initialization if not yet initialized - auto_init_if_empty(*output, input->clone()->set_tensor_shape(compute_pool_shape(*input, info))); - - const bool requantize = input->quantization_info() != output->quantization_info(); - - switch(input->data_type()) - { - case DataType::QASYMM8: - if(requantize) - { - create_arm_pooling_requant<uint8_t, uint8_t>(input, output, info, cpu_info); - } - else - { - create_arm_pooling<uint8_t, uint8_t>(input, output, info, cpu_info); - } - break; - case DataType::QASYMM8_SIGNED: - if(requantize) - { - create_arm_pooling_requant<int8_t, int8_t>(input, output, info, cpu_info); - } - else - { - create_arm_pooling<int8_t, int8_t>(input, output, info, cpu_info); - } - break; -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - create_arm_pooling<float16_t, float16_t>(input, output, info, cpu_info); - break; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - case DataType::F32: - create_arm_pooling<float, float>(input, output, info, cpu_info); - break; - default: - break; - } - - Window win = calculate_max_window(*output, Steps()); - INEKernel::configure(win); -} - -Status NEPoolingAssemblyWrapperKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &info) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); - -#ifndef __aarch64__ - ARM_COMPUTE_RETURN_ERROR_MSG("32-bit is not supported by assembly kernels"); -#endif /* __aarch64__ */ - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MSG((input->data_layout() != DataLayout::NHWC) || (info.data_layout != DataLayout::NHWC), "Only NHWC is supported by assembly kernels"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG((info.pool_type != PoolingType::AVG) && (info.pool_type != PoolingType::MAX), - "Only AVG and MAX pooling are supported by assembly kernels"); - - if(output->total_size() > 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - - const auto input_qinfo = input->quantization_info().uniform(); - const auto output_qinfo = output->quantization_info().uniform(); - - if(input_qinfo != output_qinfo) - { - const float multiplier = input_qinfo.scale / output_qinfo.scale; - int32_t output_multiplier{}; - int32_t output_shift{}; - ARM_COMPUTE_RETURN_ERROR_ON(quantization::calculate_quantized_multiplier(multiplier, &output_multiplier, &output_shift)); - } - else - { - if(input->data_type() == DataType::QASYMM8) - { - const bool has_padding = info.pad_stride_info.has_padding(); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(!info.exclude_padding && has_padding, "Assembly kernels do not support padding for QASYMM8 with same input/output quantization info"); - } - } - } - else - { - if(input->data_type() == DataType::QASYMM8) - { - // If output is not configured, the quantization info are the same - const bool has_padding = info.pad_stride_info.has_padding(); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(!info.exclude_padding && has_padding, "Assembly kernels do not support padding for QASYMM8 with same input/output quantization info"); - } - } - return Status{}; -} - -void NEPoolingAssemblyWrapperKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(_kernel_asm.get()); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_UNUSED(window); - ARM_COMPUTE_UNUSED(info); - - ARM_COMPUTE_ERROR_ON(tensors.empty()); - - const ITensor *input = tensors.get_const_tensor(TensorType::ACL_SRC); - ITensor *output = tensors.get_tensor(TensorType::ACL_DST_0); - ITensor *workspace = tensors.get_tensor(TensorType::ACL_DST_1); - - const auto in_ptr = input->buffer() + input->info()->offset_first_element_in_bytes(); - auto out_ptr = output->buffer() + output->info()->offset_first_element_in_bytes(); - auto working_space = workspace->buffer() + workspace->info()->offset_first_element_in_bytes(); - - const auto input_shape = input->info()->tensor_shape(); - const auto output_shape = output->info()->tensor_shape(); - const auto input_padding = input->info()->padding(); - const auto output_padding = output->info()->padding(); - - const size_t ld_input_col = input_shape[0] + input_padding.left + input_padding.right; - const size_t ld_input_row = ld_input_col * (input_shape[1] + input_padding.top + input_padding.bottom); - const size_t ld_input_batch = ld_input_row * input_shape[2]; - const size_t ld_output_col = output_shape[0] + output_padding.right; - const size_t ld_output_row = ld_output_col * (output_shape[1] + output_padding.top + output_padding.bottom); - const size_t ld_output_batch = ld_output_row * output_shape[2]; - - _kernel_asm->execute(in_ptr, ld_input_col, ld_input_row, ld_input_batch, - out_ptr, ld_output_col, ld_output_row, ld_output_batch, - working_space, info.thread_id, info.num_threads); -} - -size_t NEPoolingAssemblyWrapperKernel::get_working_size(unsigned int num_threads) const -{ - return _kernel_asm->get_working_size(num_threads); -} - -bool NEPoolingAssemblyWrapperKernel::is_configured() const -{ - return _kernel_asm != nullptr; -} - -template <typename TypeInput, typename TypeOutput> -void NEPoolingAssemblyWrapperKernel::create_arm_pooling(const ITensorInfo *input, ITensorInfo *output, const PoolingLayerInfo &info, const CPUInfo &cpu_info) -{ - const arm_conv::pooling::PoolingType pool_type = (info.pool_type == PoolingType::AVG) ? arm_conv::pooling::PoolingType::AVERAGE : arm_conv::pooling::PoolingType::MAX; - - arm_conv::pooling::PoolingWindow window{}; - window.cols = static_cast<unsigned int>(info.pool_size.x()); - window.rows = static_cast<unsigned int>(info.pool_size.y()); - - arm_conv::pooling::PoolingStride stride{}; - std::tie(stride.cols, stride.rows) = info.pad_stride_info.stride(); - - const arm_conv::pooling::PaddingValues padding{ info.pad_stride_info.pad_left(), info.pad_stride_info.pad_top(), info.pad_stride_info.pad_right(), info.pad_stride_info.pad_bottom() }; - - constexpr unsigned int idx_width = 1; - constexpr unsigned int idx_height = 2; - constexpr unsigned int idx_channels = 0; - constexpr unsigned int idx_batches = 3; - - const unsigned int n_batches = input->dimension(idx_batches); - const unsigned int input_rows = input->dimension(idx_height); - const unsigned int input_cols = input->dimension(idx_width); - const unsigned int n_channels = input->dimension(idx_channels); - const unsigned int output_rows = output->dimension(idx_height); - const unsigned int output_cols = output->dimension(idx_width); - - arm_conv::pooling::PoolingArgs args(&cpu_info, pool_type, window, stride, info.exclude_padding, n_batches, input_rows, input_cols, n_channels, output_rows, output_cols, padding, nullptr); - - // Configure assembly pooling kernel - auto pooling_kernel_asm = arm_conv::pooling::pooling<TypeInput, TypeOutput>(args); - if(pooling_kernel_asm == nullptr) - { - // Configuration not supported: Leave function unconfigured: - return; - } - - _kernel_asm = std::move(pooling_kernel_asm); -} - -template <typename TypeInput, typename TypeOutput> -void NEPoolingAssemblyWrapperKernel::create_arm_pooling_requant(const ITensorInfo *input, ITensorInfo *output, const PoolingLayerInfo &info, const CPUInfo &cpu_info) -{ - const arm_conv::pooling::PoolingType pool_type = (info.pool_type == PoolingType::AVG) ? arm_conv::pooling::PoolingType::AVERAGE : arm_conv::pooling::PoolingType::MAX; - - arm_conv::pooling::PoolingWindow window{}; - window.cols = static_cast<unsigned int>(info.pool_size.x()); - window.rows = static_cast<unsigned int>(info.pool_size.y()); - - arm_conv::pooling::PoolingStride stride{}; - std::tie(stride.cols, stride.rows) = info.pad_stride_info.stride(); - - const arm_conv::pooling::PaddingValues padding{ info.pad_stride_info.pad_left(), info.pad_stride_info.pad_top(), info.pad_stride_info.pad_right(), info.pad_stride_info.pad_bottom() }; - - constexpr unsigned int idx_width = 1; - constexpr unsigned int idx_height = 2; - constexpr unsigned int idx_channels = 0; - constexpr unsigned int idx_batches = 3; - - const unsigned int n_batches = input->dimension(idx_batches); - const unsigned int input_rows = input->dimension(idx_height); - const unsigned int input_cols = input->dimension(idx_width); - const unsigned int n_channels = input->dimension(idx_channels); - const unsigned int output_rows = output->dimension(idx_height); - const unsigned int output_cols = output->dimension(idx_width); - - arm_conv::pooling::PoolingArgs args(&cpu_info, pool_type, window, stride, info.exclude_padding, n_batches, input_rows, input_cols, n_channels, output_rows, output_cols, padding, nullptr); - - const auto input_qinfo = input->quantization_info().uniform(); - const auto output_qinfo = output->quantization_info().uniform(); - - const float multiplier = input_qinfo.scale / output_qinfo.scale; - int32_t output_multiplier{}; - int32_t output_shift{}; - quantization::calculate_quantized_multiplier(multiplier, &output_multiplier, &output_shift); - - const arm_conv::pooling::Requantize32 requant_args(input_qinfo.offset, - output_qinfo.offset, - output_shift, // left shift - 0, // right shift - output_multiplier); - - // Configure assembly pooling kernel with requantization - auto pooling_kernel_asm = arm_conv::pooling::pooling<TypeInput, TypeOutput, arm_conv::pooling::Requantize32>(args, requant_args); - if(pooling_kernel_asm == nullptr) - { - // Configuration not supported: Leave function unconfigured: - return; - } - - _kernel_asm = std::move(pooling_kernel_asm); -} -} // namespace arm_compute |