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Diffstat (limited to 'src/gpu/cl/kernels/ClIndirectConv2dAddressPrecalculationKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClIndirectConv2dAddressPrecalculationKernel.cpp | 172 |
1 files changed, 172 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/ClIndirectConv2dAddressPrecalculationKernel.cpp b/src/gpu/cl/kernels/ClIndirectConv2dAddressPrecalculationKernel.cpp new file mode 100644 index 0000000000..8c493d08c6 --- /dev/null +++ b/src/gpu/cl/kernels/ClIndirectConv2dAddressPrecalculationKernel.cpp @@ -0,0 +1,172 @@ +/* + * 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<ICLTensor *>(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 |