| /* |
| * Copyright (c) 2018-2021 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/ClConvertFullyConnectedWeightsKernel.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/Utils.h" |
| |
| #include "src/core/CL/CLValidate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/Cast.h" |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace opencl |
| { |
| namespace kernels |
| { |
| ClConvertFullyConnectedWeightsKernel::ClConvertFullyConnectedWeightsKernel() |
| { |
| _type = CLKernelType::ELEMENTWISE; |
| } |
| |
| void ClConvertFullyConnectedWeightsKernel::configure(const CLCompileContext &compile_context, |
| const ITensorInfo *src, |
| ITensorInfo *dst, |
| const TensorShape &original_src_shape, |
| DataLayout data_layout) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| |
| // Output tensor auto initialisation if not yet initialized |
| auto_init_if_empty(*dst, *src->clone()); |
| |
| auto padding_info = get_padding_info({src, dst}); |
| |
| ARM_COMPUTE_ERROR_THROW_ON( |
| ClConvertFullyConnectedWeightsKernel::validate(src, dst, original_src_shape, data_layout)); |
| |
| const DataLayout src_data_layout = (data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW; |
| |
| const int width_idx = get_data_layout_dimension_index(src_data_layout, DataLayoutDimension::WIDTH); |
| const int height_idx = get_data_layout_dimension_index(src_data_layout, DataLayoutDimension::HEIGHT); |
| const int channel_idx = get_data_layout_dimension_index(src_data_layout, DataLayoutDimension::CHANNEL); |
| |
| const unsigned int num_elems_per_src_plane = original_src_shape[width_idx] * original_src_shape[height_idx]; |
| const unsigned int num_channels = original_src_shape[channel_idx]; |
| |
| const unsigned int factor_1 = (data_layout == DataLayout::NCHW) ? num_elems_per_src_plane : num_channels; |
| const unsigned int factor_2 = (data_layout == DataLayout::NCHW) ? num_channels : num_elems_per_src_plane; |
| |
| // Set build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(src->element_size())); |
| build_opts.add_option("-DFACTOR_1=" + support::cpp11::to_string(factor_1)); |
| build_opts.add_option("-DFACTOR_2=" + support::cpp11::to_string(factor_2)); |
| |
| // Create kernel |
| _kernel = create_kernel(compile_context, "convert_fc_weights", build_opts.options()); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*src, Steps()); |
| ICLKernel::configure_internal(win); |
| |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status ClConvertFullyConnectedWeightsKernel::validate(const ITensorInfo *src, |
| const ITensorInfo *dst, |
| const TensorShape &original_src_shape, |
| DataLayout data_layout) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); |
| ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON(src->num_dimensions() != 2); |
| ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(1) != original_src_shape.total_size_lower(3)); |
| ARM_COMPUTE_RETURN_ERROR_ON(data_layout == DataLayout::UNKNOWN); |
| |
| // Checks performed when dst is configured |
| if (dst->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); |
| } |
| |
| return Status{}; |
| } |
| |
| void ClConvertFullyConnectedWeightsKernel::run_op(ITensorPack &tensors, const Window &window, ::cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| const auto src = |
| utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC)); |
| auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| |
| unsigned int idx = 0; |
| add_2D_tensor_argument(idx, src, window); |
| add_2D_tensor_argument(idx, dst, window); |
| enqueue(queue, *this, window, lws_hint()); |
| } |
| } // namespace kernels |
| } // namespace opencl |
| } // namespace arm_compute |