/* * Copyright (c) 2018-2021 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{}; } } // namespace CLStridedSliceKernel::CLStridedSliceKernel() { _type = CLKernelType::ELEMENTWISE; } 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 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)); Window win = calculate_max_window(*output, Steps()); // 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 = win; 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); // 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(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)); 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(tensors.get_const_tensor(TensorType::ACL_SRC)); auto dst = utils::cast::polymorphic_downcast(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