| /* |
| * Copyright (c) 2020-2022 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/CpuMaxUnpoolingLayerKernel.h" |
| |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "src/core/CPP/Validate.h" |
| #include "src/core/common/Registrars.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "src/cpu/kernels/maxunpool/list.h" |
| #include "support/ToolchainSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| namespace kernels |
| { |
| using namespace misc::shape_calculator; |
| |
| namespace |
| { |
| static const std::vector<CpuMaxUnpoolingLayerKernel::MaxUnpoolingKernel> available_kernels = |
| { |
| { |
| "neon_fp32_maxunpooling", |
| [](const DataTypeISASelectorData & data) { return data.dt == DataType::F32; }, |
| REGISTER_FP32_NEON(neon_fp32_maxunpooling) |
| }, |
| { |
| "neon_fp16_maxunpooling", |
| [](const DataTypeISASelectorData & data) { return data.dt == DataType::F16 && data.isa.fp16; }, |
| REGISTER_FP16_NEON(neon_fp16_maxunpooling) |
| }, |
| { |
| "neon_qu8_maxunpooling", |
| [](const DataTypeISASelectorData & data) { return data.dt == DataType::QASYMM8; }, |
| REGISTER_QASYMM8_NEON(neon_qs8_maxunpooling) |
| }, |
| { |
| "neon_qs8_maxunpooling", |
| [](const DataTypeISASelectorData & data) { return data.dt == DataType::QASYMM8_SIGNED; }, |
| REGISTER_QASYMM8_SIGNED_NEON(neon_qu8_maxunpooling) |
| }, |
| }; |
| |
| Status validate_arguments(const ITensorInfo *src, const ITensorInfo *indices, const ITensorInfo *dst, const PoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, indices, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(indices, 1, DataType::U32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, indices); |
| |
| int pool_stride_x = 0; |
| int pool_stride_y = 0; |
| PoolingType pool_type = pool_info.pool_type; |
| const PadStrideInfo pad_stride_info = pool_info.pad_stride_info; |
| std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); |
| const int pool_size_x = pool_info.pool_size.width; |
| const int pool_size_y = pool_info.pool_size.height; |
| const Size2D pool_size(pool_size_x, pool_size_y); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(pool_type != PoolingType::MAX, "Pooling indices only supported for MAX pooling method"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG((pool_size != Size2D(2, 2)), "Pooling indices only supported for pool size 2x2"); |
| if(dst->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, dst); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| void CpuMaxUnpoolingLayerKernel::configure(const ITensorInfo *src, const ITensorInfo *indices, ITensorInfo *dst, const PoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst, indices); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, indices, dst, pool_info)); |
| ARM_COMPUTE_UNUSED(indices); |
| |
| const auto uk = CpuMaxUnpoolingLayerKernel::get_implementation(DataTypeISASelectorData{ src->data_type(), CPUInfo::get().get_isa() }); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(uk); |
| _run_method = uk->ukernel; |
| |
| const TensorShape output_shape = compute_unpool_shape(*src, pool_info); |
| auto_init_if_empty(*dst, src->clone()->set_tensor_shape(output_shape)); |
| |
| auto window = calculate_max_window(*src, Steps()); |
| ICpuKernel::configure(window); |
| } |
| |
| Status CpuMaxUnpoolingLayerKernel::validate(const ITensorInfo *src, const ITensorInfo *indices, const ITensorInfo *dst, const PoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, indices, dst); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, indices, dst, pool_info)); |
| return Status{}; |
| } |
| |
| void CpuMaxUnpoolingLayerKernel::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); |
| |
| const auto src = tensors.get_const_tensor(TensorType::ACL_SRC_0); |
| const auto indices = tensors.get_const_tensor(TensorType::ACL_SRC_1); |
| const auto dst = tensors.get_tensor(TensorType::ACL_DST); |
| |
| _run_method(src, indices, dst, window); |
| } |
| |
| const char *CpuMaxUnpoolingLayerKernel::name() const |
| { |
| return "CpuMaxUnpoolingLayerKernel"; |
| } |
| |
| const std::vector<CpuMaxUnpoolingLayerKernel::MaxUnpoolingKernel> &CpuMaxUnpoolingLayerKernel::get_available_kernels() |
| { |
| return available_kernels; |
| } |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |