/* * Copyright (c) 2022-2023 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/ClIndirectConv2dAddressPrecalculationKernel.h" #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/KernelDescriptors.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/core/utils/StringUtils.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 { namespace { Status validate_arguments(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *dst, const PadStrideInfo &conv_info, const DirectConvComputeKernelInfo &desc) { ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, weights); ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(src, DataLayout::NHWC); ARM_COMPUTE_RETURN_ERROR_ON_MSG(weights->dimension(0) != src->dimension(0), "Weights feature map dimension should match the respective src's one"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(weights->num_dimensions() > 4, "Weights can be at most 4 dimensional"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(desc.m0 <= 0 || desc.m0 > 8, "M0 can only be greater than 0 and less than or equal to 8"); // Checks performed when dst is configured if (dst->total_size() != 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS( dst->tensor_shape(), misc::shape_calculator::compute_indirect_buffer_shape(src->tensor_shape(), src->data_layout(), weights->tensor_shape(), conv_info, desc)); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::S32); } return Status{}; } } // namespace ClIndirectConv2dAddressPrecalculationKernel::ClIndirectConv2dAddressPrecalculationKernel() { _type = CLKernelType::ELEMENTWISE; } void ClIndirectConv2dAddressPrecalculationKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *weights, ITensorInfo *dst, const PadStrideInfo &conv_info, const DirectConvComputeKernelInfo &desc) { ARM_COMPUTE_ERROR_ON_NULLPTR(src, weights, dst); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, weights, dst, conv_info, desc)); constexpr unsigned int width_idx = 1; constexpr unsigned int height_idx = 2; // Get dst shape TensorShape output_shape = misc::shape_calculator::compute_indirect_buffer_shape( src->tensor_shape(), src->data_layout(), weights->tensor_shape(), conv_info, desc); TensorShape output_conv_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *weights, conv_info); // Output auto inizialitation if not yet initialized auto_init_if_empty(*dst, output_shape, 1, DataType::S32); // Configure kernel window Window win; // Create window and update padding win = calculate_max_window(output_shape, Steps(1)); ICLKernel::configure_internal(win); std::stringstream kernel_name; CLBuildOptions build_options; kernel_name << "indirect_convolution_address_precalculation"; const unsigned int pad_left = conv_info.pad_left(); const unsigned int pad_top = conv_info.pad_top(); const unsigned int conv_stride_x = std::get<0>(conv_info.stride()); const unsigned int conv_stride_y = std::get<1>(conv_info.stride()); const auto dst_data_type = dst->data_type(); build_options.add_option("-DSRC_CONV_WIDTH=" + support::cpp11::to_string(src->dimension(width_idx))); build_options.add_option("-DSRC_CONV_HEIGHT=" + support::cpp11::to_string(src->dimension(height_idx))); build_options.add_option("-DDST_CONV_WIDTH=" + support::cpp11::to_string(output_conv_shape[width_idx])); build_options.add_option("-DDST_CONV_HEIGHT=" + support::cpp11::to_string(output_conv_shape[height_idx])); build_options.add_option("-DDST_TENSOR_TYPE=BUFFER"); build_options.add_option("-DDST_DATA_TYPE=" + get_cl_type_from_data_type(dst_data_type)); build_options.add_option("-DWEI_CONV_WIDTH=" + support::cpp11::to_string(weights->dimension(width_idx))); build_options.add_option("-DSTRIDE_X=" + support::cpp11::to_string(conv_stride_x)); build_options.add_option("-DSTRIDE_Y=" + support::cpp11::to_string(conv_stride_y)); build_options.add_option("-DPAD_LEFT=" + support::cpp11::to_string(pad_left)); build_options.add_option("-DPAD_TOP=" + support::cpp11::to_string(pad_top)); build_options.add_option("-DM0=" + support::cpp11::to_string(desc.m0)); // A macro guard to compile ONLY the kernel of interest build_options.add_option("-D" + upper_string(kernel_name.str())); _kernel = create_kernel(compile_context, kernel_name.str(), build_options.options()); // Since this kernel should be called only once, we do not need to set the config_id for tuning } Status ClIndirectConv2dAddressPrecalculationKernel::validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *dst, const PadStrideInfo &conv_info, const DirectConvComputeKernelInfo &desc) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, weights, dst, conv_info, desc)); return Status{}; } void ClIndirectConv2dAddressPrecalculationKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); // Get initial windows const Window slice = window.first_slice_window_3D(); auto dst = utils::cast::polymorphic_downcast(tensors.get_tensor(TensorType::ACL_DST)); unsigned int idx = 0; add_4d_tensor_nhwc_argument(idx, dst); enqueue(queue, *this, slice); } } // namespace kernels } // namespace opencl } // namespace arm_compute