diff options
Diffstat (limited to 'src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp | 290 |
1 files changed, 290 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp b/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp new file mode 100644 index 0000000000..76f39ac500 --- /dev/null +++ b/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp @@ -0,0 +1,290 @@ +/* + * 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/ClTransposedConvolutionKernel.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/AutoConfiguration.h" +#include "src/core/helpers/WindowHelpers.h" +#include "support/Cast.h" + +namespace arm_compute +{ +namespace opencl +{ +namespace kernels +{ +namespace +{ +Status validate_arguments(const ITensorInfo *input, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *output, + const PadStrideInfo &deconv_info) +{ + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32, + DataType::QASYMM8_SIGNED, DataType::QASYMM8); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(input, DataLayout::NHWC); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(weights, DataLayout::NHWC); + + constexpr unsigned int channel_idx = 0; + constexpr unsigned int width_idx = 1; + constexpr unsigned int height_idx = 2; + constexpr unsigned int batch_idx = 3; + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(weights->dimension(channel_idx) != input->dimension(channel_idx), + "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"); + + if (biases != nullptr) + { + if (is_data_type_quantized_asymmetric(input->data_type())) + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::S32); + } + else + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(weights, biases); + } + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(biases->dimension(channel_idx) != weights->dimension(batch_idx), + "Biases size and number of dst feature maps should match"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(biases->num_dimensions() > 1, "Biases should be one dimensional"); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(input, DataLayout::NHWC); + } + + // Checks performed when output is configured + if (output->total_size() != 0) + { + const size_t input_width = input->dimension(width_idx); + const size_t input_height = input->dimension(height_idx); + const size_t weights_width = weights->dimension(width_idx); + const size_t weights_height = weights->dimension(height_idx); + + auto out_dims = + deconvolution_output_dimensions(input_width, input_height, weights_width, weights_height, deconv_info); + TensorShape output_shape = + misc::shape_calculator::compute_deconvolution_output_shape(out_dims, *input, *weights); + + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(output, DataLayout::NHWC); + } + + return Status{}; +} +} // namespace + +void ClTransposedConvolutionKernel::configure(const CLCompileContext &compile_context, + const ITensorInfo *input, + const ITensorInfo *weights, + const ITensorInfo *biases, + ITensorInfo *output, + const PadStrideInfo &deconv_info) +{ + ARM_COMPUTE_UNUSED(biases, deconv_info); + ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); + + // Perform validation + ARM_COMPUTE_ERROR_THROW_ON(validate(input, weights, biases, output, deconv_info)); + + constexpr unsigned int channel_idx = 0; + constexpr unsigned int width_idx = 1; + constexpr unsigned int height_idx = 2; + + const size_t input_channels = input->dimension(channel_idx); // same as weight channels + const size_t input_width = input->dimension(width_idx); + const size_t input_height = input->dimension(height_idx); + const size_t weights_width = weights->dimension(width_idx); + const size_t weights_height = weights->dimension(height_idx); + const size_t output_width = output->dimension(width_idx); + const size_t output_height = output->dimension(height_idx); + const size_t output_channels = output->dimension(channel_idx); + + // Calculate output shape + auto out_dims = + deconvolution_output_dimensions(input_width, input_height, weights_width, weights_height, deconv_info); + TensorShape output_shape = misc::shape_calculator::compute_deconvolution_output_shape(out_dims, *input, *weights); + auto_init_if_empty(*output, output_shape, 1, input->data_type(), input->quantization_info()); + + // Calculate updated paddings + // p' = k - p - 1 (k: kernel dimensions) + const uint32_t pad_left = weights_width - deconv_info.pad_left() - 1; + const uint32_t pad_top = weights_height - deconv_info.pad_top() - 1; + + // Configure kernel window + Window win; + output_shape.collapse(2U, 1U); // Collapse width and height into single dimension + + const unsigned int n0 = adjust_vec_size(16 / output->element_size(), output_channels); + const unsigned int m0 = 1; + const unsigned int k0 = adjust_vec_size(16 / input->element_size(), input_channels); + const unsigned int partial_store_n0 = output_channels % n0; + + // Create window and update padding + win = calculate_max_window(output_shape, Steps(n0, m0)); + ICLKernel::configure_internal(win); + + const std::string kernel_name = "transposed_convolution_nhwc"; + CLBuildOptions build_options; + + const DataType input_data_type = input->data_type(); + const PaddingInfo strides = deconv_info.stride(); + + if (biases != nullptr) + { + build_options.add_option(std::string("-DHAS_BIAS")); + build_options.add_option(std::string("-DBIA_DATA_TYPE=" + get_cl_type_from_data_type(biases->data_type()))); + } + + const auto output_data_type = output->data_type(); + + build_options.add_option("-cl-fast-relaxed-math"); + build_options.add_option("-DSRC_TENSOR_TYPE=BUFFER"); + build_options.add_option("-DSRC_DATA_TYPE=" + get_cl_type_from_data_type(input_data_type)); + build_options.add_option("-DSRC_CHANNELS=" + support::cpp11::to_string(input_channels)); + build_options.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input_width)); + build_options.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input_height)); + build_options.add_option("-DDST_CHANNELS=" + support::cpp11::to_string(output_channels)); + build_options.add_option("-DDST_WIDTH=" + support::cpp11::to_string(output_width)); + build_options.add_option("-DDST_HEIGHT=" + support::cpp11::to_string(output_height)); + build_options.add_option("-DDST_TENSOR_TYPE=BUFFER"); + build_options.add_option("-DDST_DATA_TYPE=" + get_cl_type_from_data_type(output_data_type)); + build_options.add_option("-DWEI_TENSOR_TYPE=BUFFER"); + 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_DATA_TYPE=" + get_cl_type_from_data_type(weights->data_type())); + build_options.add_option("-DSTRIDE_X=" + support::cpp11::to_string(strides.first)); + build_options.add_option("-DSTRIDE_Y=" + support::cpp11::to_string(strides.second)); + 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("-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)); + build_options.add_option_if((input_channels % k0) != 0, "-DLEFTOVER_LOOP"); + + if (is_data_type_quantized(output_data_type)) + { + const UniformQuantizationInfo iqinfo = input->quantization_info().uniform(); + const UniformQuantizationInfo wqinfo = weights->quantization_info().uniform(); + const UniformQuantizationInfo oqinfo = output->quantization_info().uniform(); + + PixelValue zero_value = PixelValue(0, input->data_type(), input->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(input_data_type)); + build_options.add_option("-DZERO_VALUE=" + support::cpp11::to_string(0)); + } + + if (compile_context.get_ddk_version() >= 30) + { + build_options.add_option("-fregister-allocation=64"); + } + + _kernel = create_kernel(compile_context, kernel_name, build_options.options()); + + // Set config_id for enabling LWS tuning + _config_id = kernel_name; + _config_id += "_"; + _config_id += lower_string(string_from_data_type(input_data_type)); + _config_id += "_"; + _config_id += support::cpp11::to_string(weights_width); + _config_id += "_"; + _config_id += support::cpp11::to_string(strides.first); + _config_id += "_"; + _config_id += support::cpp11::to_string(strides.second); + _config_id += "_"; + _config_id += support::cpp11::to_string(output_width); + _config_id += "_"; + _config_id += support::cpp11::to_string(m0); + _config_id += "_"; + _config_id += support::cpp11::to_string(n0); +} + +Status ClTransposedConvolutionKernel::validate(const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *dst, + const PadStrideInfo &deconv_info) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, weights, biases, dst, deconv_info)); + return Status{}; +} + +void ClTransposedConvolutionKernel::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 + Window slice = window.first_slice_window_3D(); + + 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)); + + unsigned int idx = 0; + add_4d_tensor_nhwc_argument(idx, src); + add_4d_tensor_nhwc_argument(idx, dst); + + add_4d_tensor_nhwc_argument(idx, weights); + if (biases != nullptr) + { + add_1D_tensor_argument(idx, biases, slice); + } + + enqueue(queue, *this, slice, lws_hint()); +} +} // namespace kernels +} // namespace opencl +} // namespace arm_compute |