| /* |
| * Copyright (c) 2019-2020 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/CL/kernels/CLInstanceNormalizationLayerKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "src/core/CL/CLValidate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const InstanceNormalizationLayerKernelInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.epsilon == 0.f, "Epsilon must be different than 0"); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(input, DataType::F16, DataType::F32); |
| |
| 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()); |
| |
| // CLInstanceNormalizationLayerKernel doesn't need padding so update_window_and_padding() can be skipped |
| Coordinates coord; |
| coord.set_num_dimensions(output->num_dimensions()); |
| output->set_valid_region(ValidRegion(coord, output->tensor_shape())); |
| return std::make_pair(Status{}, win); |
| } |
| } // namespace |
| |
| CLInstanceNormalizationLayerKernel::CLInstanceNormalizationLayerKernel() |
| : _input(nullptr), _output(nullptr), _run_in_place(false) |
| { |
| } |
| |
| void CLInstanceNormalizationLayerKernel::configure(ICLTensor *input, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output, info); |
| } |
| |
| void CLInstanceNormalizationLayerKernel::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const InstanceNormalizationLayerKernelInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input); |
| auto padding_info = get_padding_info({ input, output }); |
| |
| _input = input; |
| _output = output == nullptr ? input : output; |
| |
| _run_in_place = (output == nullptr) || (output == input); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(_input->info(), _output->info(), info)); |
| const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); |
| |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); |
| build_opts.add_option("-DINTERNAL_DATA_TYPE=" + (info.use_mixed_precision ? "float" : get_cl_type_from_data_type(input->info()->data_type()))); |
| build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); |
| build_opts.add_option("-DDIM_X=" + support::cpp11::to_string(input->info()->dimension(0))); |
| build_opts.add_option("-DDIM_Y=" + support::cpp11::to_string(input->info()->dimension(1))); |
| build_opts.add_option("-DDIM_Z=" + support::cpp11::to_string(input->info()->dimension(2))); |
| build_opts.add_option("-DGAMMA=" + float_to_string_with_full_precision(info.gamma)); |
| build_opts.add_option("-DBETA=" + float_to_string_with_full_precision(info.beta)); |
| build_opts.add_option("-DEPSILON=" + float_to_string_with_full_precision(info.epsilon)); |
| build_opts.add_option_if(_run_in_place, "-DIN_PLACE"); |
| build_opts.add_option_if(_input->info()->data_layout() == DataLayout::NHWC, "-DNHWC"); |
| |
| // Create kernel |
| _kernel = create_kernel(compile_context, "instance_normalization", build_opts.options()); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(_input->info(), _output->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config)); |
| ICLKernel::configure_internal(std::get<1>(win_config)); |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status CLInstanceNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const InstanceNormalizationLayerKernelInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, info)); |
| 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 CLInstanceNormalizationLayerKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| |
| Window collapsed_window = window.collapse(window, Window::DimZ); |
| |
| // We will process the planes together |
| if(_input->info()->data_layout() == DataLayout::NCHW) |
| { |
| collapsed_window.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| collapsed_window.set(Window::DimY, Window::Dimension(0, 1, 1)); |
| } |
| else |
| { |
| collapsed_window.set(Window::DimY, Window::Dimension(0, 1, 1)); |
| collapsed_window.set(Window::DimZ, Window::Dimension(0, _input->info()->dimension(3), 1)); |
| } |
| |
| unsigned int idx = 0; |
| add_4D_tensor_argument(idx, _input, collapsed_window); |
| if(!_run_in_place) |
| { |
| add_4D_tensor_argument(idx, _output, collapsed_window); |
| } |
| |
| enqueue(queue, *this, collapsed_window, lws_hint()); |
| } |
| } // namespace arm_compute |