| /* |
| * 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/gpu/cl/kernels/ClWeightsReshapeKernel.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/Cast.h" |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| using namespace misc::shape_calculator; |
| namespace opencl |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *biases, const ITensorInfo *output, unsigned int num_groups) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON(num_groups == 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::NHWC && num_groups > 1); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4 && num_groups > 1); |
| ARM_COMPUTE_RETURN_ERROR_ON((input->dimension(3) % num_groups) != 0); |
| |
| if(biases != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(!is_data_type_float(input->data_type())); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases); |
| ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 4) && (biases->num_dimensions() != 1)); |
| ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 5) && (biases->num_dimensions() != 2)); |
| ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 4) && (biases->dimension(0) != input->tensor_shape()[3])); |
| ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 5) && (biases->dimension(0) != input->tensor_shape()[3] || biases->dimension(1) != input->tensor_shape()[4])); |
| } |
| |
| // Checks performed when output is configured |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), compute_weights_reshaped_shape(*input, biases != nullptr, num_groups)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| ClWeightsReshapeKernel::ClWeightsReshapeKernel() |
| { |
| _type = CLKernelType::ELEMENTWISE; |
| } |
| |
| void ClWeightsReshapeKernel::configure(const ClCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *biases, ITensorInfo *dst, unsigned int num_groups) |
| { |
| 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(compute_weights_reshaped_shape(*src, (biases != nullptr), num_groups))); |
| |
| // Perform validation step |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, biases, dst, num_groups)); |
| auto padding_info = get_padding_info({ src, biases, dst }); |
| |
| const DataType data_type = src->data_type(); |
| |
| // Create build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(data_type))); |
| build_opts.add_option("-DNUM_GROUPS=" + support::cpp11::to_string(num_groups)); |
| build_opts.add_option_if(biases != nullptr, "-DHAS_BIAS"); |
| |
| // Create kernel |
| _kernel = create_kernel(compile_context, "reshape_to_columns", build_opts.options()); |
| |
| // Configure window |
| Window win = calculate_max_window(*src, Steps()); |
| ICLKernel::configure_internal(win); |
| |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status ClWeightsReshapeKernel::validate(const ITensorInfo *src, const ITensorInfo *biases, const ITensorInfo *dst, unsigned int num_groups) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, biases, dst, num_groups)); |
| return Status{}; |
| } |
| |
| void ClWeightsReshapeKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); |
| |
| auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC)); |
| auto biases = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_BIAS)); |
| auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); |
| |
| Window out_window; |
| out_window.use_tensor_dimensions(dst->info()->tensor_shape()); |
| |
| Window in_slice = window.first_slice_window_3D(); |
| Window out_slice = out_window.first_slice_window_2D(); |
| |
| Window biases_window; |
| Window biases_slice; |
| |
| unsigned int idx = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor(); |
| idx += (biases != nullptr) ? num_arguments_per_1D_tensor() : 0; |
| _kernel.setArg<cl_uint>(idx++, src->info()->dimension(0)); |
| _kernel.setArg<cl_uint>(idx++, src->info()->dimension(1)); |
| _kernel.setArg<cl_uint>(idx++, src->info()->dimension(2)); |
| _kernel.setArg<cl_uint>(idx++, src->info()->dimension(3)); |
| _kernel.setArg<cl_uint>(idx++, dst->info()->strides_in_bytes().z()); |
| |
| if(biases != nullptr) |
| { |
| biases_window.use_tensor_dimensions(biases->info()->tensor_shape()); |
| biases_slice = biases_window.first_slice_window_1D(); |
| } |
| |
| do |
| { |
| // Set arguments |
| unsigned idx = 0; |
| add_3D_tensor_argument(idx, src, in_slice); |
| add_2D_tensor_argument(idx, dst, out_slice); |
| if(biases != nullptr) |
| { |
| add_1D_tensor_argument(idx, biases, biases_slice); |
| ARM_COMPUTE_UNUSED(biases_window.slide_window_slice_1D(biases_slice)); |
| } |
| |
| // Run kernel |
| enqueue(queue, *this, in_slice, lws_hint()); |
| } |
| while(window.slide_window_slice_4D(in_slice) && out_window.slide_window_slice_2D(out_slice)); |
| } |
| } // namespace kernels |
| } // namespace opencl |
| } // namespace arm_compute |