| /* |
| * 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<size_t>(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<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); |
| const auto weights = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); |
| const auto biases = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_2)); |
| auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(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 |