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Diffstat (limited to 'src/gpu/cl/kernels/ClElementwiseKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClElementwiseKernel.cpp | 603 |
1 files changed, 603 insertions, 0 deletions
diff --git a/src/gpu/cl/kernels/ClElementwiseKernel.cpp b/src/gpu/cl/kernels/ClElementwiseKernel.cpp new file mode 100644 index 0000000000..cdb3527a92 --- /dev/null +++ b/src/gpu/cl/kernels/ClElementwiseKernel.cpp @@ -0,0 +1,603 @@ +/* + * Copyright (c) 2018-2021, 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/ClElementwiseKernel.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/utils/ActivationFunctionUtils.h" +#include "arm_compute/core/utils/helpers/AdjustVecSize.h" +#include "arm_compute/core/utils/StringUtils.h" + +#include "src/common/utils/Validate.h" +#include "src/core/CL/CLValidate.h" +#include "src/core/helpers/AutoConfiguration.h" +#include "src/core/helpers/WindowHelpers.h" +#include "support/Cast.h" +#include "support/StringSupport.h" + +#include <map> + +namespace arm_compute +{ +namespace opencl +{ +namespace kernels +{ +namespace +{ +constexpr unsigned int vector_size_byte_opencl = 16; + +std::map<ArithmeticOperation, std::string> supported_arithmetic_ops = { + {ArithmeticOperation::ADD, "ADD"}, {ArithmeticOperation::SUB, "SUB"}, + {ArithmeticOperation::DIV, "DIV"}, {ArithmeticOperation::SQUARED_DIFF, "SQUARED_DIFF"}, + {ArithmeticOperation::MIN, "MIN"}, {ArithmeticOperation::MAX, "MAX"}, + {ArithmeticOperation::POWER, "POWER"}, {ArithmeticOperation::PRELU, "PRELU"}, +}; + +std::map<ArithmeticOperation, std::string> supported_sat_arithmetic_ops = { + {ArithmeticOperation::ADD, "ADD"}, + {ArithmeticOperation::SUB, "SUB"}, +}; + +std::string +generate_id_for_tuning_common(const std::string &kernel_name, const ITensorInfo &src1, const ITensorInfo &dst) +{ + std::string config_id; + // Set config_id for enabling LWS tuning + config_id = kernel_name; + config_id += "_"; + config_id += lower_string(string_from_data_type(src1.data_type())); + config_id += "_"; + config_id += support::cpp11::to_string(dst.dimension(0)); + config_id += "_"; + config_id += support::cpp11::to_string(dst.dimension(1)); + return config_id; +} + +Status validate_in_place_output_shape(const bool in_place, + const bool src1_in_place, + const ITensorInfo &src1, + const ITensorInfo &src2, + const ITensorInfo &dst, + const TensorShape &out_shape) +{ + if (in_place) + { + ARM_COMPUTE_RETURN_ERROR_ON_MSG( + detail::have_different_dimensions(out_shape, src1_in_place ? src1.tensor_shape() : src2.tensor_shape(), 0), + "Wrong shape for dst, cannot do in_place calculation"); + } + else + { + ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst.tensor_shape(), 0), + "Wrong shape for dst"); + } + return Status{}; +} + +Status validate_arguments_with_float_only_supported_rules(const ITensorInfo &src1, + const ITensorInfo &src2, + const ITensorInfo &dst) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(&src1, &src2, &dst); + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&src1); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src1, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src1, &src2); + + // Check whether it is in_place calculation + const bool in_place = (&src1 == &dst) || (&src2 == &dst); + const bool src1_in_place = in_place && (&src1 == &dst); + + const TensorShape out_shape = TensorShape::broadcast_shape(src1.tensor_shape(), src2.tensor_shape()); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible"); + + // Validate in case of configured dst + if (dst.total_size() > 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&dst, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src1, &dst); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_in_place_output_shape(in_place, src1_in_place, src1, src2, dst, out_shape)); + } + + return Status{}; +} + +Status validate_arguments_divide_operation(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src1, src2, dst); + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src1); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src1, 1, DataType::F16, DataType::F32, DataType::S32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src1, src2); + + // Check whether it is in_place calculation + const bool in_place = (src1 == dst) || (src2 == dst); + const bool src1_in_place = in_place && (src1 == dst); + + const TensorShape out_shape = TensorShape::broadcast_shape(src1->tensor_shape(), src2->tensor_shape()); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible"); + + // Validate in case of configured dst + if (dst->total_size() > 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::F16, DataType::F32, DataType::S32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src1, dst); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_in_place_output_shape(in_place, src1_in_place, *src1, *src2, *dst, out_shape)); + } + + return Status{}; +} + +Status +validate_arguments_with_arithmetic_rules(const ITensorInfo &src1, const ITensorInfo &src2, const ITensorInfo &dst) +{ + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&src1); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src1, 1, DataType::U8, DataType::QASYMM8, + DataType::QASYMM8_SIGNED, DataType::S16, DataType::QSYMM16, + DataType::F16, DataType::S32, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src1, &src2); + + if (is_data_type_quantized_symmetric(src1.data_type())) + { + const int32_t in1_offset = src1.quantization_info().uniform().offset; + const int32_t in2_offset = src2.quantization_info().uniform().offset; + ARM_COMPUTE_RETURN_ERROR_ON_MSG(in1_offset != 0, "For quantized symmetric, offset must be zero"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(in2_offset != 0, "For quantized symmetric, offset must be zero"); + } + + // Check whether it is in_place calculation + const bool in_place = (&src1 == &dst) || (&src2 == &dst); + const bool src1_in_place = in_place && (&src1 == &dst); + + const TensorShape out_shape = TensorShape::broadcast_shape(src1.tensor_shape(), src2.tensor_shape()); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible"); + + // Validate in case of configured dst + if (dst.total_size() > 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src1, &dst); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst.tensor_shape(), 0), + "Wrong shape for dst"); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_in_place_output_shape(in_place, src1_in_place, src1, src2, dst, out_shape)); + + if (is_data_type_quantized_symmetric(dst.data_type())) + { + const int32_t offset = dst.quantization_info().uniform().offset; + ARM_COMPUTE_RETURN_ERROR_ON_MSG(offset != 0, "For quantized symmetric, offset must be zero"); + } + } + return Status{}; +} + +CLBuildOptions generate_build_options_with_arithmetic_rules(const ITensorInfo &src1, + const ITensorInfo &src2, + const ITensorInfo &dst, + const std::string &operation_string) +{ + CLBuildOptions build_opts; + + const unsigned int num_elems_processed_per_iteration = + adjust_vec_size(vector_size_byte_opencl / dst.element_size(), dst.dimension(0)); + + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src1.data_type())); + build_opts.add_option("-DVEC_SIZE_IN1=" + + support::cpp11::to_string(src1.dimension(0) == 1 ? 1 : num_elems_processed_per_iteration)); + build_opts.add_option("-DVEC_SIZE_IN2=" + + support::cpp11::to_string(src2.dimension(0) == 1 ? 1 : num_elems_processed_per_iteration)); + build_opts.add_option("-DVEC_SIZE_OUT=" + support::cpp11::to_string(num_elems_processed_per_iteration)); + build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + + support::cpp11::to_string(dst.dimension(0) % num_elems_processed_per_iteration)); + build_opts.add_option("-DOP=" + operation_string); + if (is_data_type_quantized(src1.data_type())) + { + const UniformQuantizationInfo iq1info = src1.quantization_info().uniform(); + const UniformQuantizationInfo iq2info = src2.quantization_info().uniform(); + const UniformQuantizationInfo oqinfo = dst.quantization_info().uniform(); + + build_opts.add_option("-DOFFSET_IN1=" + support::cpp11::to_string(iq1info.offset)); + build_opts.add_option("-DOFFSET_IN2=" + support::cpp11::to_string(iq2info.offset)); + build_opts.add_option("-DOFFSET_OUT=" + support::cpp11::to_string(oqinfo.offset)); + build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq1info.scale)); + build_opts.add_option("-DSCALE_IN2=" + float_to_string_with_full_precision(iq2info.scale)); + build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oqinfo.scale)); + } + build_opts.add_option_if(src1.data_type() == DataType::S32, "-DS32"); + + // Check whether it is in_place calculation + const bool in_place = (&src1 == &dst) || (&src2 == &dst); + const bool src1_in_place = in_place && (&src1 == &dst); + build_opts.add_option_if(in_place, "-DIN_PLACE"); + build_opts.add_option_if(src1_in_place, "-DSRC1_IN_PLACE"); + + return build_opts; +} + +std::pair<Status, Window> configure_window_arithmetic_common(ITensorInfo &dst) +{ + const unsigned int num_elems_processed_per_iteration = + adjust_vec_size(vector_size_byte_opencl / dst.element_size(), dst.dimension(0)); + Window win = calculate_max_window(dst, Steps(num_elems_processed_per_iteration)); + return std::make_pair(Status{}, win); +} + +std::pair<Status, Window> +validate_and_configure_window_for_arithmetic_operators(ITensorInfo &src1, ITensorInfo &src2, ITensorInfo &dst) +{ + const std::pair<TensorShape, ValidRegion> broadcast_pair = + ITensorInfo::broadcast_shape_and_valid_region(src1, src2); + const TensorShape &out_shape = broadcast_pair.first; + + auto_init_if_empty(dst, out_shape, 1, src1.data_type()); + + return configure_window_arithmetic_common(dst); +} + +std::pair<Status, Window> +validate_and_configure_window_for_logical_binary_operators(ITensorInfo &src1, ITensorInfo &src2, ITensorInfo &dst) +{ + const std::pair<TensorShape, ValidRegion> broadcast_pair = + ITensorInfo::broadcast_shape_and_valid_region(src1, src2); + const TensorShape &out_shape = broadcast_pair.first; + + set_shape_if_empty(dst, out_shape); + set_data_type_if_unknown(dst, DataType::U8); + + return configure_window_arithmetic_common(dst); +} + +std::pair<Status, Window> +validate_and_configure_window_for_division(ITensorInfo &src1, ITensorInfo &src2, ITensorInfo &dst) +{ + const std::pair<TensorShape, ValidRegion> broadcast_pair = + ITensorInfo::broadcast_shape_and_valid_region(src1, src2); + const TensorShape &out_shape = broadcast_pair.first; + + auto_init_if_empty(dst, out_shape, 1, src1.data_type()); + + return configure_window_arithmetic_common(dst); +} +} // namespace + +ClElementwiseKernel::ClElementwiseKernel() +{ + _type = CLKernelType::ELEMENTWISE; +} + +void ClElementwiseKernel::configure_common(const ClCompileContext &compile_context, + ITensorInfo *src1, + ITensorInfo *src2, + ITensorInfo *dst) +{ + // Configure kernel window + auto win_config = validate_and_configure_window(*src1, *src2, *dst); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + + std::string kernel_name = "elementwise_operation_" + name(); + if (is_data_type_quantized(src1->data_type())) + { + kernel_name += "_quantized"; + } + + // Set kernel build options + CLBuildOptions build_opts = generate_build_options(*src1, *src2, *dst); + if (_act_info.enabled()) + { + build_opts.add_option("-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(_act_info.activation()))); + build_opts.add_option("-DA_VAL=" + float_to_string_with_full_precision(_act_info.a())); + build_opts.add_option("-DB_VAL=" + float_to_string_with_full_precision(_act_info.b())); + } + + // Create kernel + _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); + + ICLKernel::configure_internal(win_config.second); + + _config_id = generate_id_for_tuning(kernel_name, *src1, *dst); +} + +void ClElementwiseKernel::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_0 = + utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); + const auto src_1 = + utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); + auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); + + ARM_COMPUTE_ERROR_ON_NULLPTR(src_0, src_1, dst); + + const TensorShape &in_shape1 = src_0->info()->tensor_shape(); + const TensorShape &in_shape2 = src_1->info()->tensor_shape(); + const TensorShape &out_shape = dst->info()->tensor_shape(); + + bool can_collapse = true; + const bool is_vector = in_shape1.num_dimensions() == 1 || in_shape2.num_dimensions() == 1; + if (std::min(in_shape1.total_size(), in_shape2.total_size()) > 1 && !is_vector) + { + can_collapse = (std::min(in_shape1.num_dimensions(), in_shape2.num_dimensions()) > Window::DimZ); + for (size_t d = Window::DimZ; can_collapse && (d < out_shape.num_dimensions()); d++) + { + can_collapse = (in_shape1[d] == in_shape2[d]); + } + } + + bool has_collapsed = false; + Window collapsed = + can_collapse ? window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &has_collapsed) : window; + + const TensorShape &in_shape1_collapsed = has_collapsed ? in_shape1.collapsed_from(Window::DimZ) : in_shape1; + const TensorShape &in_shape2_collapsed = has_collapsed ? in_shape2.collapsed_from(Window::DimZ) : in_shape2; + + Window slice = collapsed.first_slice_window_3D(); + Window slice_src1 = slice.broadcast_if_dimension_le_one(in_shape1_collapsed); + Window slice_src2 = slice.broadcast_if_dimension_le_one(in_shape2_collapsed); + + // Check whether it is in_place calculation + const bool in_place = (src_0 == dst) || (src_1 == dst); + do + { + unsigned int idx = 0; + add_3D_tensor_argument(idx, src_0, slice_src1); + add_3D_tensor_argument(idx, src_1, slice_src2); + if (!in_place) + { + add_3D_tensor_argument(idx, dst, slice); + } + + enqueue(queue, *this, slice, lws_hint()); + ARM_COMPUTE_UNUSED(collapsed.slide_window_slice_3D(slice_src1)); + ARM_COMPUTE_UNUSED(collapsed.slide_window_slice_3D(slice_src2)); + } while (collapsed.slide_window_slice_3D(slice)); +} + +/** Logical binary */ + +void ClLogicalBinaryKernel::configure(const ClCompileContext &compile_context, + LogicalOperation op, + ITensorInfo *src1, + ITensorInfo *src2, + ITensorInfo *dst) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(src1, src2, dst); + ARM_COMPUTE_ERROR_THROW_ON(ClLogicalBinaryKernel::validate(op, src1, src2, dst)); + _op = op; + configure_common(compile_context, src1, src2, dst); +} + +Status ClLogicalBinaryKernel::validate(LogicalOperation op, + const ITensorInfo *src1, + const ITensorInfo *src2, + const ITensorInfo *dst) +{ + ARM_COMPUTE_UNUSED(op); + ARM_COMPUTE_ASSERT(op != LogicalOperation::Unknown && op != LogicalOperation::Not); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src1, src2, dst); + + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src1, 1, DataType::U8); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src1, src2); + + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_with_arithmetic_rules(*src1, *src2, *dst)); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_and_configure_window_for_logical_binary_operators(*src1->clone(), *src2->clone(), *dst->clone()) + .first); + + return Status{}; +} + +std::string ClLogicalBinaryKernel::name() +{ + switch (_op) + { + case LogicalOperation::And: + return "AND"; + case LogicalOperation::Or: + return "OR"; + case LogicalOperation::Not: + /* fall through */ + default: + ARM_COMPUTE_ASSERT(true); + } + return ""; +} + +std::pair<Status, Window> +ClLogicalBinaryKernel::validate_and_configure_window(ITensorInfo &src1, ITensorInfo &src2, ITensorInfo &dst) +{ + return validate_and_configure_window_for_logical_binary_operators(src1, src2, dst); +} + +CLBuildOptions +ClLogicalBinaryKernel::generate_build_options(const ITensorInfo &src1, const ITensorInfo &src2, const ITensorInfo &dst) +{ + // The arithmetic utility functions can be share + return generate_build_options_with_arithmetic_rules(src1, src2, dst, name()); +} + +std::string ClLogicalBinaryKernel::generate_id_for_tuning(const std::string &kernel_name, + const ITensorInfo &src1, + const ITensorInfo &dst) +{ + return generate_id_for_tuning_common(kernel_name, src1, dst); +} + +/** Arithmetic operations with saturation*/ +void ClSaturatedArithmeticKernel::configure(const ClCompileContext &compile_context, + ArithmeticOperation op, + ITensorInfo *input1, + ITensorInfo *input2, + ITensorInfo *output, + const ConvertPolicy &policy, + const ActivationLayerInfo &act_info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output); + ARM_COMPUTE_ERROR_THROW_ON(ClSaturatedArithmeticKernel::validate(op, input1, input2, output, policy, act_info)); + auto padding_info = get_padding_info({input1, input2, output}); + + _policy = policy; + _op = op; + _act_info = act_info; + configure_common(compile_context, input1, input2, output); + ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); +} + +Status ClSaturatedArithmeticKernel::validate(ArithmeticOperation op, + const ITensorInfo *input1, + const ITensorInfo *input2, + const ITensorInfo *output, + const ConvertPolicy &policy, + const ActivationLayerInfo &act_info) +{ + ARM_COMPUTE_UNUSED(op, policy); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output); + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_with_arithmetic_rules(*input1, *input2, *output)); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_and_configure_window_for_arithmetic_operators(*input1->clone(), *input2->clone(), *output->clone()) + .first); + ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled() && !is_data_type_float(output->data_type())); + + return Status{}; +} + +std::pair<Status, Window> ClSaturatedArithmeticKernel::validate_and_configure_window(ITensorInfo &input1, + ITensorInfo &input2, + ITensorInfo &output) +{ + return validate_and_configure_window_for_arithmetic_operators(input1, input2, output); +} + +CLBuildOptions ClSaturatedArithmeticKernel::generate_build_options(const ITensorInfo &input1, + const ITensorInfo &input2, + const ITensorInfo &output) +{ + const bool has_float_out = is_data_type_float(output.data_type()); + auto build_options = generate_build_options_with_arithmetic_rules(input1, input2, output, name()); + build_options.add_option((_policy == ConvertPolicy::WRAP || has_float_out) ? "-DWRAP" : "-DSATURATE"); + return build_options; +} + +std::string ClSaturatedArithmeticKernel::generate_id_for_tuning(const std::string &kernel_name, + const ITensorInfo &input1, + const ITensorInfo &output) +{ + auto config_id = generate_id_for_tuning_common(kernel_name, input1, output); + config_id += (_policy == ConvertPolicy::WRAP) ? "_wrap_" : "_saturate_"; + config_id += lower_string(string_from_data_layout(input1.data_layout())); + return config_id; +} + +std::string ClSaturatedArithmeticKernel::name() +{ + return supported_sat_arithmetic_ops[_op]; +} + +/** Arithmetic operations*/ +void ClArithmeticKernel::configure(const ClCompileContext &compile_context, + ArithmeticOperation op, + ITensorInfo *src1, + ITensorInfo *src2, + ITensorInfo *dst, + const ActivationLayerInfo &act_info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(src1, src2, dst); + ARM_COMPUTE_ERROR_THROW_ON(ClArithmeticKernel::validate(op, src1, src2, dst, act_info)); + auto padding_info = get_padding_info({src1, src2, dst}); + + _op = op; + _act_info = act_info; + configure_common(compile_context, src1, src2, dst); + ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); +} + +Status ClArithmeticKernel::validate(ArithmeticOperation op, + const ITensorInfo *src1, + const ITensorInfo *src2, + const ITensorInfo *dst, + const ActivationLayerInfo &act_info) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src1, src2, dst); + if (op == ArithmeticOperation::DIV) + { + // Partial integer support S32/F32/F16 + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_divide_operation(src1, src2, dst)); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_and_configure_window_for_division(*src1->clone(), *src2->clone(), *dst->clone()).first); + } + else if (op == ArithmeticOperation::POWER) + { + // Power operators doesn't support integer arithmetic + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_with_float_only_supported_rules(*src1, *src2, *dst)); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_and_configure_window_for_division(*src1->clone(), *src2->clone(), *dst->clone()).first); + } + else + { + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_with_arithmetic_rules(*src1, *src2, *dst)); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_and_configure_window_for_arithmetic_operators(*src1->clone(), *src2->clone(), *dst->clone()) + .first); + } + ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled() && !is_data_type_float(dst->data_type())); + + return Status{}; +} +std::pair<Status, Window> +ClArithmeticKernel::validate_and_configure_window(ITensorInfo &src1, ITensorInfo &src2, ITensorInfo &dst) +{ + if (_op == ArithmeticOperation::DIV || _op == ArithmeticOperation::POWER) + { + // Division and Power operators don't support integer arithmetic + return validate_and_configure_window_for_division(src1, src2, dst); + } + else + { + return validate_and_configure_window_for_arithmetic_operators(src1, src2, dst); + } +} + +CLBuildOptions +ClArithmeticKernel::generate_build_options(const ITensorInfo &src1, const ITensorInfo &src2, const ITensorInfo &dst) +{ + return generate_build_options_with_arithmetic_rules(src1, src2, dst, name()); +} +std::string ClArithmeticKernel::generate_id_for_tuning(const std::string &kernel_name, + const ITensorInfo &src1, + const ITensorInfo &dst) +{ + return generate_id_for_tuning_common(kernel_name, src1, dst); +} + +std::string ClArithmeticKernel::name() +{ + return supported_arithmetic_ops[_op]; +} +} // namespace kernels +} // namespace opencl +} // namespace arm_compute |