diff options
Diffstat (limited to 'src/gpu/cl/kernels/ClDirectConv3dKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClDirectConv3dKernel.cpp | 282 |
1 files changed, 282 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/ClDirectConv3dKernel.cpp b/src/gpu/cl/kernels/ClDirectConv3dKernel.cpp new file mode 100644 index 0000000000..8002520a87 --- /dev/null +++ b/src/gpu/cl/kernels/ClDirectConv3dKernel.cpp @@ -0,0 +1,282 @@ +/* + * Copyright (c) 2021-2023 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/ClDirectConv3dKernel.h" + +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/utils/helpers/AdjustVecSize.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "arm_compute/core/utils/quantization/AsymmHelpers.h" +#include "arm_compute/core/utils/StringUtils.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 |