Manuel Bottini | 7b23732 | 2021-07-14 17:07:23 +0100 | [diff] [blame] | 1 | /* |
Matthew Bentham | 314d3e2 | 2023-06-23 10:53:52 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2021, 2023 Arm Limited. |
Manuel Bottini | 7b23732 | 2021-07-14 17:07:23 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
Georgios Pinitas | 7891a73 | 2021-08-20 21:39:25 +0100 | [diff] [blame] | 24 | #include "src/gpu/cl/kernels/ClCol2ImKernel.h" |
Manuel Bottini | 7b23732 | 2021-07-14 17:07:23 +0100 | [diff] [blame] | 25 | |
| 26 | #include "arm_compute/core/CL/CLHelpers.h" |
| 27 | #include "arm_compute/core/CL/CLKernelLibrary.h" |
| 28 | #include "arm_compute/core/CL/ICLTensor.h" |
| 29 | #include "arm_compute/core/CL/OpenCL.h" |
| 30 | #include "arm_compute/core/Helpers.h" |
| 31 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
Matthew Bentham | 314d3e2 | 2023-06-23 10:53:52 +0000 | [diff] [blame] | 32 | #include "arm_compute/core/utils/StringUtils.h" |
Manuel Bottini | 7b23732 | 2021-07-14 17:07:23 +0100 | [diff] [blame] | 33 | #include "src/core/CL/CLValidate.h" |
| 34 | #include "src/core/helpers/AutoConfiguration.h" |
| 35 | #include "src/core/helpers/WindowHelpers.h" |
| 36 | #include "support/Cast.h" |
| 37 | #include "support/StringSupport.h" |
| 38 | |
| 39 | #include <cmath> |
| 40 | |
| 41 | namespace arm_compute |
| 42 | { |
| 43 | using namespace misc::shape_calculator; |
| 44 | namespace opencl |
| 45 | { |
| 46 | namespace kernels |
| 47 | { |
| 48 | namespace |
| 49 | { |
| 50 | Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups) |
| 51 | { |
| 52 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| 53 | ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); |
| 54 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); |
| 55 | |
| 56 | // Checks performed when output is configured |
| 57 | if(dst->total_size() != 0) |
| 58 | { |
| 59 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), compute_col2im_shape(*src, convolved_dims, true, num_groups)); |
| 60 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| 61 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); |
| 62 | ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_layout() != DataLayout::NCHW, "Col2Im output's data layout must always be NCHW"); |
| 63 | } |
| 64 | |
| 65 | return Status{}; |
| 66 | } |
| 67 | |
| 68 | std::pair<Status, Window> validate_and_configure_window(ITensorInfo *src, ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups) |
| 69 | { |
| 70 | ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| 71 | // Output auto inizialitation if not yet initialized |
| 72 | auto_init_if_empty(*dst, src->clone()->set_tensor_shape(compute_col2im_shape(*src, convolved_dims, true, num_groups)).set_data_layout(DataLayout::NCHW)); |
| 73 | |
| 74 | constexpr unsigned int num_elems_read_per_iteration = 8; |
| 75 | |
| 76 | // Configure window |
| 77 | Window win = calculate_max_window(*src, Steps(num_elems_read_per_iteration)); |
| 78 | |
| 79 | // Update window and padding just for the input tensor as we cannot access out-of-bounds elements in the output one |
| 80 | AccessWindowHorizontal input_access(src, 0, num_elems_read_per_iteration); |
| 81 | bool window_changed = update_window_and_padding(win, input_access); |
| 82 | |
| 83 | Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| 84 | return std::make_pair(err, win); |
| 85 | } |
| 86 | } // namespace |
| 87 | |
| 88 | ClCol2ImKernel::ClCol2ImKernel() |
| 89 | : _convolved_dims() |
| 90 | { |
| 91 | _type = CLKernelType::ELEMENTWISE; |
| 92 | } |
| 93 | |
| 94 | void ClCol2ImKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups) |
| 95 | { |
| 96 | ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| 97 | |
| 98 | // Perform validation step |
| 99 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, convolved_dims, num_groups)); |
| 100 | |
| 101 | _convolved_dims = convolved_dims; |
| 102 | |
| 103 | const DataType data_type = src->data_type(); |
| 104 | |
| 105 | // Create kernel |
| 106 | CLBuildOptions build_opts; |
| 107 | build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type)); |
| 108 | build_opts.add_option("-DELEMENT_SIZE=" + support::cpp11::to_string(src->element_size())); |
| 109 | build_opts.add_option("-DWIDTH_INPUT=" + support::cpp11::to_string(src->dimension(0))); |
| 110 | build_opts.add_option("-DWIDTH_OUTPUT=" + support::cpp11::to_string(_convolved_dims.width)); |
| 111 | build_opts.add_option("-DNUM_GROUPS=" + support::cpp11::to_string(num_groups)); |
| 112 | |
| 113 | _kernel = create_kernel(compile_context, "col2im", build_opts.options()); |
| 114 | |
| 115 | // Configure kernel window |
| 116 | auto win_config = validate_and_configure_window(src, dst, _convolved_dims, num_groups); |
| 117 | ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| 118 | IClKernel::configure_internal(win_config.second); |
| 119 | |
| 120 | // Set config_id for enabling LWS tuning |
| 121 | _config_id = "col2im_"; |
| 122 | _config_id += lower_string(string_from_data_type(src->data_type())); |
| 123 | _config_id += "_"; |
| 124 | _config_id += support::cpp11::to_string(num_groups); |
| 125 | _config_id += "_"; |
| 126 | _config_id += support::cpp11::to_string(src->dimension(0)); |
| 127 | _config_id += "_"; |
| 128 | _config_id += support::cpp11::to_string(src->dimension(1)); |
| 129 | _config_id += "_"; |
| 130 | _config_id += support::cpp11::to_string(dst->dimension(0)); |
| 131 | _config_id += "_"; |
| 132 | _config_id += support::cpp11::to_string(dst->dimension(1)); |
| 133 | } |
| 134 | |
| 135 | Status ClCol2ImKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const Size2D &convolved_dims, unsigned int num_groups) |
| 136 | { |
| 137 | ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| 138 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, convolved_dims, num_groups)); |
| 139 | ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), dst->clone().get(), convolved_dims, num_groups).first); |
| 140 | return Status{}; |
| 141 | } |
| 142 | |
| 143 | void ClCol2ImKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) |
| 144 | { |
| 145 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 146 | ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IClKernel::window(), window); |
| 147 | |
| 148 | bool is_collapsed = false; |
| 149 | bool is_collapsed_out = false; |
| 150 | |
| 151 | auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC)); |
| 152 | auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); |
| 153 | |
| 154 | Window out_window; |
| 155 | out_window.use_tensor_dimensions(dst->info()->tensor_shape()); |
| 156 | |
| 157 | Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &is_collapsed); |
| 158 | Window collapsed_out = out_window.collapse_if_possible(out_window, 3, &is_collapsed_out); |
| 159 | |
| 160 | ARM_COMPUTE_ERROR_ON(is_collapsed != is_collapsed_out); |
| 161 | |
| 162 | Window slice = collapsed.first_slice_window_3D(); |
| 163 | Window slice_out = collapsed_out.first_slice_window_4D(); |
| 164 | do |
| 165 | { |
| 166 | // Set inputs |
| 167 | unsigned int idx = 0; |
| 168 | add_3D_tensor_argument(idx, src, slice); |
| 169 | add_4D_tensor_argument(idx, dst, slice_out); |
| 170 | enqueue(queue, *this, slice, lws_hint()); |
| 171 | } |
| 172 | while(collapsed.slide_window_slice_3D(slice) && collapsed_out.slide_window_slice_4D(slice_out)); |
| 173 | } |
| 174 | } // namespace kernels |
| 175 | } // namespace opencl |
| 176 | } // namespace arm_compute |