/* * Copyright (c) 2021-2022 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/ClDirectConv3dKernel.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/core/utils/quantization/AsymmHelpers.h" #include "src/core/CL/CLValidate.h" #include "src/core/helpers/WindowHelpers.h" #include "support/Cast.h" namespace arm_compute { namespace opencl { namespace kernels { namespace { Status validate_arguments(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const Conv3dInfo &conv3d_info) { ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_LAYOUT(src0, src1, dst); ARM_COMPUTE_RETURN_ERROR_ON_MSG(src0->data_layout() != DataLayout::NDHWC, "Only NDHWC layout supported"); // When fusing activation, same workaround introduced for COMPMID-5324 may be necessary ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv3d_info.act_info.enabled(), "Fused activation not supported"); ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src0); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src0, 1, DataType::F16, DataType::F32, DataType::QASYMM8, DataType::QASYMM8_SIGNED); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src0, src1); ARM_COMPUTE_RETURN_ERROR_ON(conv3d_info.dilation != Size3D(1U, 1U, 1U)); ARM_COMPUTE_RETURN_ERROR_ON_MSG(src1->dimension(1) != src0->dimension(0), "Weights feature map dimension should match the respective src's one"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(src1->num_dimensions() > 5, "Weights can be at most 5 dimensional"); ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(2) > (src0->dimension(1) + conv3d_info.padding.left + conv3d_info.padding.right)); ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(3) > (src0->dimension(2) + conv3d_info.padding.top + conv3d_info.padding.bottom)); ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(4) > (src0->dimension(3) + conv3d_info.padding.front + conv3d_info.padding.back)); if(src2 != nullptr) { if(is_data_type_quantized(src0->data_type())) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src2, 1, DataType::S32); } else { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src1, src2); } ARM_COMPUTE_RETURN_ERROR_ON_MSG(src2->dimension(0) != src1->dimension(0), "Biases size and number of dst feature maps should match"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(src2->num_dimensions() > 1, "Biases should be one dimensional"); } // Checks performed when dst is configured if(dst->total_size() != 0) { ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->dimension(0) != src1->dimension(0), "Weights and dst OFMs should match"); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), misc::shape_calculator::compute_conv3d_shape(src0->tensor_shape(), src1->tensor_shape(), conv3d_info)); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src0, dst); } return Status{}; } } // namespace ClDirectConv3dKernel::ClDirectConv3dKernel() { _type = CLKernelType::DIRECT; } void ClDirectConv3dKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, ITensorInfo *dst, const Conv3dInfo &conv3d_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(src0, src1, dst); // Perform validation ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src0, src1, src2, dst, conv3d_info)); // Create window and update padding const DataType data_type = src0->data_type(); const size_t src_width = src0->dimension(1); const size_t src_height = src0->dimension(2); const size_t src_depth = src0->dimension(3); const size_t src_channels = src0->dimension(0); const size_t dst_width = dst->dimension(1); const size_t dst_height = dst->dimension(2); const size_t dst_depth = dst->dimension(3); const size_t dst_channels = dst->dimension(0); const size_t weights_width = src1->dimension(2); const size_t weights_height = src1->dimension(3); const size_t weights_depth = src1->dimension(4); const size_t pad_left = conv3d_info.padding.left; const size_t pad_top = conv3d_info.padding.top; const size_t pad_front = conv3d_info.padding.front; const size_t conv_stride_x = conv3d_info.stride.x(); const size_t conv_stride_y = conv3d_info.stride.y(); const size_t conv_stride_z = conv3d_info.stride.z(); const size_t n0 = std::min(dst->dimension(0), static_cast(4u)); const size_t m0 = (dst->tensor_shape()[0] > 16) ? ((data_type == DataType::F32) ? 2U : 4U) : 1U; const size_t k0 = adjust_vec_size(8u, src0->dimension(0)); const size_t partial_store_n0 = dst->dimension(0) % n0; CLBuildOptions build_options; build_options.add_option("-cl-fast-relaxed-math"); build_options.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type)); build_options.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(src_width)); build_options.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(src_height)); build_options.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(src_depth)); build_options.add_option("-DSRC_CHANNELS=" + support::cpp11::to_string(src_channels)); build_options.add_option("-DDST_WIDTH=" + support::cpp11::to_string(dst_width)); build_options.add_option("-DDST_HEIGHT=" + support::cpp11::to_string(dst_height)); build_options.add_option("-DDST_DEPTH=" + support::cpp11::to_string(dst_depth)); build_options.add_option("-DDST_CHANNELS=" + support::cpp11::to_string(dst_channels)); build_options.add_option("-DWEI_WIDTH=" + support::cpp11::to_string(weights_width)); build_options.add_option("-DWEI_HEIGHT=" + support::cpp11::to_string(weights_height)); build_options.add_option("-DWEI_DEPTH=" + support::cpp11::to_string(weights_depth)); 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("-DSTRIDE_Z=" + support::cpp11::to_string(conv_stride_z)); 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("-DPAD_FRONT=" + support::cpp11::to_string(pad_front)); build_options.add_option("-DN0=" + support::cpp11::to_string(n0)); build_options.add_option("-DM0=" + support::cpp11::to_string(m0)); build_options.add_option("-DK0=" + support::cpp11::to_string(k0)); build_options.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0)); if(src2 != nullptr) { build_options.add_option(std::string("-DHAS_BIAS")); build_options.add_option(std::string("-DBIA_DATA_TYPE=" + get_cl_type_from_data_type(src2->data_type()))); } if(is_data_type_quantized(data_type)) { const UniformQuantizationInfo iqinfo = src0->quantization_info().uniform(); const UniformQuantizationInfo wqinfo = src1->quantization_info().uniform(); const UniformQuantizationInfo oqinfo = dst->quantization_info().uniform(); PixelValue zero_value = PixelValue(0, src0->data_type(), src0->quantization_info()); int zero_value_s32; zero_value.get(zero_value_s32); float multiplier = iqinfo.scale * wqinfo.scale / oqinfo.scale; int output_multiplier = 0; int output_shift = 0; quantization::calculate_quantized_multiplier(multiplier, &output_multiplier, &output_shift); build_options.add_option("-DIS_QUANTIZED"); build_options.add_option("-DDST_MULTIPLIER=" + support::cpp11::to_string(output_multiplier)); build_options.add_option("-DDST_SHIFT=" + support::cpp11::to_string(output_shift)); build_options.add_option("-DSRC_OFFSET=" + support::cpp11::to_string(-iqinfo.offset)); build_options.add_option("-DWEI_OFFSET=" + support::cpp11::to_string(-wqinfo.offset)); build_options.add_option("-DDST_OFFSET=" + support::cpp11::to_string(oqinfo.offset)); build_options.add_option("-DZERO_VALUE=" + support::cpp11::to_string(zero_value_s32)); build_options.add_option("-DACC_DATA_TYPE=" + get_cl_type_from_data_type(DataType::S32)); } else { build_options.add_option("-DACC_DATA_TYPE=" + get_cl_type_from_data_type(DataType::F32)); build_options.add_option("-DZERO_VALUE=" + support::cpp11::to_string(0)); build_options.add_option("-DSRC_OFFSET=" + support::cpp11::to_string(0)); build_options.add_option("-DWEI_OFFSET=" + support::cpp11::to_string(0)); build_options.add_option("-DDST_OFFSET=" + support::cpp11::to_string(0)); } std::string kernel_name = "direct_convolution3d_ndhwc"; _kernel = create_kernel(compile_context, kernel_name, build_options.options()); // Configure kernel window Window win = calculate_max_window(*dst, Steps(n0, m0)); ICLKernel::configure_internal(win); // Set config_id for enabling LWS tuning _config_id = kernel_name; _config_id += "_"; _config_id += lower_string(string_from_data_type(data_type)); _config_id += "_"; _config_id += support::cpp11::to_string(weights_width); _config_id += "_"; _config_id += support::cpp11::to_string(weights_height); _config_id += "_"; _config_id += support::cpp11::to_string(weights_depth); _config_id += "_"; _config_id += support::cpp11::to_string(conv_stride_x); _config_id += "_"; _config_id += support::cpp11::to_string(conv_stride_y); _config_id += "_"; _config_id += support::cpp11::to_string(conv_stride_z); _config_id += "_"; _config_id += support::cpp11::to_string(dst_width); _config_id += "_"; _config_id += support::cpp11::to_string(dst_height); _config_id += "_"; _config_id += support::cpp11::to_string(dst_channels); } Status ClDirectConv3dKernel::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const Conv3dInfo &conv3d_info) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src0, src1, src2, dst, conv3d_info)); return Status{}; } void ClDirectConv3dKernel::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); const auto src = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC_0)); const auto weights = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC_1)); const auto biases = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC_2)); auto dst = utils::cast::polymorphic_downcast(tensors.get_tensor(TensorType::ACL_DST)); // Get initial windows Window slice = window.first_slice_window_3D(); slice.set(Window::DimY, Window::Dimension(0, ceil_to_multiple(dst->info()->dimension(1) * dst->info()->dimension(2) * dst->info()->dimension(3), slice.y().step()), slice.y().step())); slice.set(Window::DimZ, Window::Dimension(0, dst->info()->dimension(4), 1)); unsigned int idx = 0; add_4D_tensor_argument(idx, src, slice); add_4D_tensor_argument(idx, dst, slice); add_4D_tensor_argument(idx, weights, slice); if(biases != nullptr) { add_1D_tensor_argument(idx, biases, slice); } enqueue(queue, *this, slice, lws_hint()); } } // namespace kernels } // namespace opencl } // namespace arm_compute