| /* |
| * Copyright (c) 2018-2020 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/core/CL/kernels/CLStridedSliceKernel.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/utils/helpers/tensor_transform.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "src/core/utils/helpers/bit_ops.h" |
| #include "support/Cast.h" |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, |
| const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, |
| int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4); |
| ARM_COMPUTE_RETURN_ERROR_ON(starts.num_dimensions() > input->num_dimensions()); |
| ARM_COMPUTE_RETURN_ERROR_ON(ends.num_dimensions() > input->num_dimensions()); |
| ARM_COMPUTE_RETURN_ERROR_ON(strides.num_dimensions() > input->num_dimensions()); |
| ARM_COMPUTE_RETURN_ERROR_ON(std::any_of(strides.cbegin(), strides.cbegin() + strides.num_dimensions(), [](int i) |
| { |
| return i == 0; |
| })); |
| |
| // Get expected output shape |
| const TensorShape exp_output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input, |
| starts, ends, strides, |
| begin_mask, end_mask, shrink_axis_mask); |
| ARM_COMPUTE_RETURN_ERROR_ON(exp_output_shape.total_size() == 0); |
| |
| // Checks output if configured |
| if(output->total_size() != 0) |
| { |
| const TensorInfo exp_output_info = output->clone()->set_tensor_shape(exp_output_shape); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &exp_output_info); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *input, ITensorInfo *output, |
| const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, |
| int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| // Output tensor auto initialization if not yet initialized |
| const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input, |
| starts, ends, strides, |
| begin_mask, end_mask, shrink_axis_mask); |
| auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape)); |
| |
| // Create window |
| Window win = calculate_max_window(*output, Steps()); |
| output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape())); |
| |
| return std::make_pair(Status{}, win); |
| } |
| } // namespace |
| |
| void CLStridedSliceKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *input, ITensorInfo *output, |
| const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, |
| int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| auto padding_info = get_padding_info({ input, output }); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)); |
| |
| const TensorShape &input_shape = input->tensor_shape(); |
| |
| Coordinates starts_abs; |
| Coordinates ends_abs; |
| Coordinates final_strides; |
| std::tie(starts_abs, ends_abs, final_strides) = arm_compute::helpers::tensor_transform::calculate_strided_slice_coords( |
| input_shape, |
| starts, ends, strides, |
| begin_mask, end_mask, shrink_axis_mask); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| |
| // Enable multiple elements processing along x if stride_x is 1 and output width greater than the access vector size |
| const int vec_size_x = 16 / input->element_size(); |
| const int output_width_x = output->tensor_shape().x(); |
| const bool is_shrink_on_x = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, 0); |
| const bool multi_access_x = !is_shrink_on_x && (final_strides.x() == 1) && (output_width_x / vec_size_x > 0); |
| |
| // Update window if needed |
| if(multi_access_x) |
| { |
| Window &updated_window = std::get<1>(win_config); |
| updated_window.set(Window::DimX, |
| Window::Dimension(updated_window.x().start(), ceil_to_multiple(updated_window.x().end(), vec_size_x), vec_size_x)); |
| } |
| ICLKernel::configure_internal(win_config.second); |
| |
| // Create build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(input->data_type()))); |
| for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i) |
| { |
| const bool is_shrink = arm_compute::helpers::bit_ops::is_bit_set(shrink_axis_mask, i); |
| build_opts.add_option("-DSTART_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(starts_abs[i])); |
| build_opts.add_option("-DSTRIDE_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(final_strides[i])); |
| build_opts.add_option_if(is_shrink, "-DSHRINK_" + support::cpp11::to_string(i)); |
| } |
| build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0))); |
| build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); |
| build_opts.add_option_if_else(input_shape.num_dimensions() > 2, |
| "-DSRC_DEPTH=" + support::cpp11::to_string(input_shape.z()), |
| "-DSRC_DEPTH=1"); |
| build_opts.add_option_if_else(output->num_dimensions() > 2, |
| "-DDST_DEPTH=" + support::cpp11::to_string(output->tensor_shape().z()), |
| "-DDST_DEPTH=1"); |
| |
| // Create kernel |
| _kernel = create_kernel(compile_context, "strided_slice", build_opts.options()); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = "strided_slice"; |
| _config_id += "_"; |
| _config_id += lower_string(string_from_data_type(input->data_type())); |
| for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i) |
| { |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->dimension(i)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(starts_abs[i]); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(ends_abs[i]); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(final_strides[i]); |
| } |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status CLStridedSliceKernel::validate(const ITensorInfo *input, const ITensorInfo *output, |
| const Coordinates &starts, const Coordinates &ends, const BiStrides &strides, |
| int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), |
| starts, ends, strides, begin_mask, end_mask, shrink_axis_mask) |
| .first); |
| |
| return Status{}; |
| } |
| |
| void CLStridedSliceKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC)); |
| auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); |
| |
| Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); |
| Window slice = window_collapsed.first_slice_window_4D(); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_4D_tensor_argument(idx, src, slice); |
| add_4D_tensor_argument(idx, dst, slice); |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(window_collapsed.slide_window_slice_4D(slice)); |
| } |
| } // namespace arm_compute |