| /* |
| * Copyright (c) 2019-2022 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/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/KernelDescriptors.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include "src/core/common/Registrars.h" |
| #include "src/core/CPP/Validate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "src/core/NEON/NEMath.h" |
| #include "src/core/NEON/wrapper/wrapper.h" |
| #include "src/cpu/kernels/instancenorm/list.h" |
| |
| #include <arm_neon.h> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| struct InstanceNormSelectorData |
| { |
| DataType dt; |
| }; |
| |
| using InstanceNormSelctorPtr = std::add_pointer<bool(const InstanceNormSelectorData &data)>::type; |
| using InstanceNormUKernelPtr = std::add_pointer<void(ITensor *input, |
| ITensor *output, |
| float gamma, |
| float beta, |
| float epsilon, |
| bool use_mixed_precision, |
| const Window &window)>::type; |
| |
| struct InstanceNormKernel |
| { |
| const char *name; |
| const InstanceNormSelctorPtr is_selected; |
| InstanceNormUKernelPtr ukernel; |
| }; |
| |
| static const InstanceNormKernel available_kernels[] = { |
| {"fp32_neon_instancenorm", [](const InstanceNormSelectorData &data) { return data.dt == DataType::F32; }, |
| REGISTER_FP32_NEON(arm_compute::cpu::neon_fp32_instancenorm)}, |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| {"fp16_neon_instancenorm", [](const InstanceNormSelectorData &data) { return data.dt == DataType::F16; }, |
| REGISTER_FP16_NEON(arm_compute::cpu::neon_fp16_instancenorm)}, |
| #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| }; |
| |
| /** Micro-kernel selector |
| * |
| * @param[in] data Selection data passed to help pick the appropriate micro-kernel |
| * |
| * @return A matching micro-kernel else nullptr |
| */ |
| const InstanceNormKernel *get_implementation(const InstanceNormSelectorData &data) |
| { |
| for (const auto &uk : available_kernels) |
| { |
| if (uk.is_selected(data)) |
| { |
| return &uk; |
| } |
| } |
| return nullptr; |
| } |
| |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, float gamma, float beta, float epsilon) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_UNUSED(gamma); |
| ARM_COMPUTE_UNUSED(beta); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(epsilon == 0.f, "Epsilon must be different than 0"); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(input, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_layout() == DataLayout::NHWC, |
| "NHWC data layout is not supported by the kernel directly"); |
| |
| if (output != nullptr && output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_channels() != output->num_channels(), |
| "Input and output have different number of channels"); |
| } |
| return Status{}; |
| } |
| |
| std::tuple<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) |
| { |
| // We handle the planes manually |
| Window win = calculate_max_window(*input, Steps(1)); |
| |
| // Output auto initialization if not yet initialized |
| auto_init_if_empty(*output, input->tensor_shape(), 1, input->data_type()); |
| |
| // NEInstanceNormalizationLayerKernel doesn't need padding so update_window_and_padding() can be skipped |
| return std::make_pair(Status{}, win); |
| } |
| } // namespace |
| |
| NEInstanceNormalizationLayerKernel::NEInstanceNormalizationLayerKernel() |
| : _input(nullptr), _output(nullptr), _gamma(1), _beta(0), _epsilon(1e-12) |
| { |
| } |
| |
| void NEInstanceNormalizationLayerKernel::configure(ITensor *input, |
| ITensor *output, |
| const InstanceNormalizationLayerKernelInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input); |
| |
| _input = input; |
| _output = output == nullptr ? input : output; |
| _gamma = info.gamma; |
| _beta = info.beta; |
| _epsilon = info.epsilon; |
| _use_mixed_precision = info.use_mixed_precision; |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(_input->info(), _output->info(), _gamma, _beta, _epsilon)); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(_input->info(), _output->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config)); |
| |
| INEKernel::configure(std::get<1>(win_config)); |
| } |
| |
| Status NEInstanceNormalizationLayerKernel::validate(const ITensorInfo *input, |
| const ITensorInfo *output, |
| const InstanceNormalizationLayerKernelInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, info.gamma, info.beta, info.epsilon)); |
| ARM_COMPUTE_RETURN_ON_ERROR(std::get<0>(validate_and_configure_window( |
| input->clone().get(), (output == nullptr ? input->clone().get() : output->clone().get())))); |
| return Status{}; |
| } |
| |
| void NEInstanceNormalizationLayerKernel::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 auto *uk = get_implementation(InstanceNormSelectorData{_input->info()->data_type()}); |
| ARM_COMPUTE_ERROR_ON(uk == nullptr || uk->ukernel == nullptr); |
| |
| uk->ukernel(_input, _output, _gamma, _beta, _epsilon, _use_mixed_precision, window); |
| } |
| } // namespace arm_compute |