From 7891a73ef36f4ad7b71069b3c57694f85bb79454 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Fri, 20 Aug 2021 21:39:25 +0100 Subject: Move CPU/GPU files from Core/Runtime to the respective backend folders Legacy structure contained two libraries core/runtime with two backends in each. We reduce the core/runtime libraries to a single library thus merging the backend files Signed-off-by: Georgios Pinitas Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155 Comments-Addressed: Arm Jenkins Reviewed-by: Michele Di Giorgio Tested-by: Arm Jenkins --- .../ClConvertFullyConnectedWeightsKernel.cpp | 124 +++++++++++++++++++++ 1 file changed, 124 insertions(+) create mode 100644 src/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp (limited to 'src/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp') diff --git a/src/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp b/src/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp new file mode 100644 index 0000000000..716dec1f30 --- /dev/null +++ b/src/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp @@ -0,0 +1,124 @@ +/* + * 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(tensors.get_const_tensor(TensorType::ACL_SRC)); + auto dst = utils::cast::polymorphic_downcast(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 -- cgit v1.2.1