From ec0113dd7749991959ae351934eea0c0d8077dcb Mon Sep 17 00:00:00 2001 From: Gunes Bayir Date: Wed, 9 Nov 2022 09:26:27 +0000 Subject: Optimize Transposed Convolution for CL backend (FP32/16) This patch optimizes transposed convolution for CL backend by rewriting it in a single kernel instead of three (flip_kernel + upsample + conv). The new kernel skips the upsampling step which reduces the input space of convolution by stride_x * stride_y, resulting in significant performance improvement. It also skips the kernel flipping by traversing the weights accordingly, thus reduces the memory footprint. Resolves: COMPMID-5676 Signed-off-by: Gunes Bayir Change-Id: I8a333212dc7c5f7f0597aa58b0d56d44814baa14 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8588 Tested-by: Arm Jenkins Reviewed-by: Gian Marco Iodice Comments-Addressed: Arm Jenkins Benchmark: Arm Jenkins --- src/gpu/cl/ClKernelLibrary.cpp | 5 + .../cl/kernels/ClTransposedConvolutionKernel.cpp | 231 +++++++++++++++++++++ src/gpu/cl/kernels/ClTransposedConvolutionKernel.h | 66 ++++++ src/gpu/cl/operators/ClTransposedConvolution.cpp | 58 ++++++ src/gpu/cl/operators/ClTransposedConvolution.h | 90 ++++++++ 5 files changed, 450 insertions(+) create mode 100644 src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp create mode 100644 src/gpu/cl/kernels/ClTransposedConvolutionKernel.h create mode 100644 src/gpu/cl/operators/ClTransposedConvolution.cpp create mode 100644 src/gpu/cl/operators/ClTransposedConvolution.h (limited to 'src/gpu') diff --git a/src/gpu/cl/ClKernelLibrary.cpp b/src/gpu/cl/ClKernelLibrary.cpp index 0f08f5d044..4e036399db 100644 --- a/src/gpu/cl/ClKernelLibrary.cpp +++ b/src/gpu/cl/ClKernelLibrary.cpp @@ -448,6 +448,7 @@ const std::map ClKernelLibrary::_kernel_program_map = { "space_to_batch_nhwc", "nhwc/space_to_batch.cl" }, { "space_to_batch_static_nhwc", "nhwc/space_to_batch.cl" }, { "space_to_depth_nhwc", "nhwc/space_to_depth.cl" }, + { "transposed_convolution_nhwc", "nhwc/transposed_convolution.cl" }, { "upsample_layer_nhwc", "nhwc/upsample_layer.cl" }, { "winograd_filter_transform_4x1_3x1_nhwc", "nhwc/winograd_filter_transform.cl" }, { "winograd_filter_transform_1x4_1x3_nhwc", "nhwc/winograd_filter_transform.cl" }, @@ -941,6 +942,10 @@ const std::map ClKernelLibrary::_program_source_map = { "nhwc/space_to_depth.cl", #include "./cl_kernels/nhwc/space_to_depth.clembed" + }, + { + "nhwc/transposed_convolution.cl", +#include "./cl_kernels/nhwc/transposed_convolution.clembed" }, { "nhwc/winograd_filter_transform.cl", diff --git a/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp b/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp new file mode 100644 index 0000000000..16c6ad9a9b --- /dev/null +++ b/src/gpu/cl/kernels/ClTransposedConvolutionKernel.cpp @@ -0,0 +1,231 @@ +/* + * Copyright (c) 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/ClTransposedConvolutionKernel.h" + +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.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); + 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) + { + 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 + + // Create window and update padding + win = calculate_max_window(output_shape, Steps(1, 1)); + ICLKernel::configure_internal(win); + + const std::string kernel_name = "transposed_convolution_nhwc"; + CLBuildOptions build_options; + + const DataType input_data_type = input->data_type(); // Fp32 or Fp16 only + const auto strides = deconv_info.stride(); + + const unsigned int n0 = 1; + const unsigned int m0 = 1; + const unsigned int k0 = adjust_vec_size(input_data_type == DataType::F32 ? 4 : 8, input_channels); + const unsigned int partial_store_n0 = output_channels % n0; + + 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"); + build_options.add_option("-DACC_DATA_TYPE=" + get_cl_type_from_data_type(input_data_type)); + + 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(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)); + + 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 diff --git a/src/gpu/cl/kernels/ClTransposedConvolutionKernel.h b/src/gpu/cl/kernels/ClTransposedConvolutionKernel.h new file mode 100644 index 0000000000..d4350dda50 --- /dev/null +++ b/src/gpu/cl/kernels/ClTransposedConvolutionKernel.h @@ -0,0 +1,66 @@ +/* + * Copyright (c) 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. + */ +#ifndef ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_KERNEL_H +#define ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_KERNEL_H + +#include "src/core/common/Macros.h" +#include "src/gpu/cl/ClCompileContext.h" +#include "src/gpu/cl/IClKernel.h" + +namespace arm_compute +{ +namespace opencl +{ +namespace kernels +{ +/** OpenCL kernel for transposed convolution. */ +class ClTransposedConvolutionKernel : public IClKernel +{ +public: + ClTransposedConvolutionKernel() = default; + ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClTransposedConvolutionKernel); + /** Set the input, weights, biases and output tensors. + * + * Similar to @ref ClTransposedConvolution::configure() + * + */ + void configure(const CLCompileContext &compile_context, const ITensorInfo *input, const ITensorInfo *weights, + const ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &deconv_info); + /** Static function to check if given info will lead to a valid configuration + * + * Similar to @ref ClTransposedConvolution::configure() + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, + const ITensorInfo *output, const PadStrideInfo &deconv_info); + + // Inherited methods overridden: + void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override; +}; +} // namespace kernels +} // namespace opencl +} // namespace arm_compute + +#endif /* ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_KERNEL_H */ \ No newline at end of file diff --git a/src/gpu/cl/operators/ClTransposedConvolution.cpp b/src/gpu/cl/operators/ClTransposedConvolution.cpp new file mode 100644 index 0000000000..90dbe7f291 --- /dev/null +++ b/src/gpu/cl/operators/ClTransposedConvolution.cpp @@ -0,0 +1,58 @@ +/* + * Copyright (c) 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/operators/ClTransposedConvolution.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/runtime/CL/CLScheduler.h" +#include "src/common/utils/Log.h" +#include "src/gpu/cl/kernels/ClTransposedConvolutionKernel.h" + +namespace arm_compute +{ +namespace opencl +{ +void ClTransposedConvolution::configure(const CLCompileContext &compile_context, const ITensorInfo *input, const ITensorInfo *weights, + const ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &deconv_info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input); + ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, deconv_info); + auto kernel_object = std::make_unique(); + kernel_object->set_target(CLScheduler::get().target()); + kernel_object->configure(compile_context, input, weights, biases, output, deconv_info); + _transposed_conv_kernel = std::move(kernel_object); +} + +Status ClTransposedConvolution::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, + const ITensorInfo *output, const PadStrideInfo &deconv_info) +{ + ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClTransposedConvolutionKernel::validate(input, weights, biases, output, deconv_info)); + return Status{}; +} + +void ClTransposedConvolution::run(ITensorPack &tensors) +{ + CLScheduler::get().enqueue_op(*_transposed_conv_kernel.get(), tensors, false); +} +} // namespace opencl +} // namespace arm_compute diff --git a/src/gpu/cl/operators/ClTransposedConvolution.h b/src/gpu/cl/operators/ClTransposedConvolution.h new file mode 100644 index 0000000000..bc04387df5 --- /dev/null +++ b/src/gpu/cl/operators/ClTransposedConvolution.h @@ -0,0 +1,90 @@ +/* + * Copyright (c) 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. + */ +#ifndef ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H +#define ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H + +#include "src/gpu/cl/ClCompileContext.h" +#include "src/gpu/cl/IClKernel.h" +#include "src/gpu/cl/IClOperator.h" +namespace arm_compute +{ +namespace opencl +{ +/** Basic function to simulate a directly convolution layer. This function calls the following OpenCL kernels: + * + * -# @ref opencl::ClTransposedConvolution + */ +class ClTransposedConvolution : public IClOperator +{ +public: + /** Default constructor */ + ClTransposedConvolution() = default; + /** Default Destructor */ + ~ClTransposedConvolution() = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + ClTransposedConvolution(const ClTransposedConvolution &) = delete; + /** Default move constructor */ + ClTransposedConvolution(ClTransposedConvolution &&) = default; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + ClTransposedConvolution &operator=(const ClTransposedConvolution &) = delete; + /** Default move assignment operator */ + ClTransposedConvolution &operator=(ClTransposedConvolution &&) = default; + + /** Set the input, weights, biases and output tensors. + * + * @note: Only NHWC data layout is supported + * + * @param[in] compile_context The compile context to be used. + * @param[in] input Input tensor info with dimensions [IFM, width, height, batch] + * Data types supported: F16/F32. + * @param[in] weights Weight tensor info with dimensions [IFM, width, height, OFM]. + * Data type supported: Same as @p input + * @param[in] biases (Optional) Biases tensor info. Biases are 1D tensor with dimension [OFM]. + * Data type supported: Should match @p input data type + * @param[out] output Output tensor info with dimensions [OFM, width, height, batch] + * The 1st dimension must be equal to the 4th dimension of the @p weights tensor. + * Data types supported: Same as @p input. + * @param[in] deconv_info Contains padding and stride information described in @ref PadStrideInfo. + * + */ + void configure(const CLCompileContext &compile_context, const ITensorInfo *input, const ITensorInfo *weights, + const ITensorInfo *biases, ITensorInfo *output, const PadStrideInfo &deconv_info); + /** Static function to check if given info will lead to a valid configuration + * + * Similar to ClTransposedConvolution::configure() + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, + const ITensorInfo *output, const PadStrideInfo &deconv_info); + + // Inherited method overridden + void run(ITensorPack &tensors) override; + +private: + std::unique_ptr _transposed_conv_kernel{ nullptr }; +}; +} // namespace opencl +} // namespace arm_compute +#endif /* ARM_COMPUTE_CL_TRANSPOSED_CONVOLUTION_H */ \ No newline at end of file -- cgit v1.2.1