diff options
Diffstat (limited to 'src/core/gpu/cl/kernels/ClElementwiseKernel.cpp')
| -rw-r--r-- | src/core/gpu/cl/kernels/ClElementwiseKernel.cpp | 536 |
1 files changed, 0 insertions, 536 deletions
diff --git a/src/core/gpu/cl/kernels/ClElementwiseKernel.cpp b/src/core/gpu/cl/kernels/ClElementwiseKernel.cpp deleted file mode 100644 index 335ee9c392..0000000000 --- a/src/core/gpu/cl/kernels/ClElementwiseKernel.cpp +++ /dev/null @@ -1,536 +0,0 @@ -/* - * 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/gpu/cl/kernels/ClElementwiseKernel.h" - -#include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/ICLTensor.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_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); - - 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_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst.tensor_shape(), 0), - "Wrong shape for dst"); - } - - 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); - - 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_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst->tensor_shape(), 0), - "Wrong shape for dst"); - } - - 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_F16_UNSUPPORTED(&src2); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src2, 1, DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, - DataType::S16, DataType::QSYMM16, DataType::F16, - DataType::S32, DataType::F32); - - const bool is_quantized = is_data_type_quantized(src1.data_type()) || is_data_type_quantized(src2.data_type()); - if(is_quantized) - { - 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"); - } - } - - 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_F16_UNSUPPORTED(&dst); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&dst, 1, DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, - DataType::S16, DataType::QSYMM16, DataType::F16, - DataType::S32, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MSG((dst.data_type() == DataType::U8) && ((src1.data_type() != DataType::U8) || (src2.data_type() != DataType::U8)), - "dst can only be U8 if both inputs are U8"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst.tensor_shape(), 0), - "Wrong shape for dst"); - - if(is_quantized) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src1, &dst); - - 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_IN1=" + get_cl_type_from_data_type(src1.data_type())); - build_opts.add_option("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(src2.data_type())); - build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(dst.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"); - - 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; - - set_shape_if_empty(dst, out_shape); - - if(src1.data_type() == DataType::S16 || src2.data_type() == DataType::S16) - { - set_format_if_unknown(dst, Format::S16); - } - else if(src1.data_type() == DataType::F16 || src2.data_type() == DataType::F16) - { - set_format_if_unknown(dst, Format::F16); - } - else if(src1.data_type() == DataType::F32 || src2.data_type() == DataType::F32) - { - set_format_if_unknown(dst, Format::F32); - } - else if(src1.data_type() == DataType::QASYMM8 || src2.data_type() == DataType::QASYMM8) - { - set_data_type_if_unknown(dst, DataType::QASYMM8); - } - else if(src1.data_type() == DataType::QASYMM8_SIGNED || src2.data_type() == DataType::QASYMM8_SIGNED) - { - set_data_type_if_unknown(dst, DataType::QASYMM8_SIGNED); - } - else if(src1.data_type() == DataType::QSYMM16 || src2.data_type() == DataType::QSYMM16) - { - set_data_type_if_unknown(dst, DataType::QSYMM16); - } - - 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); - - // The arithmetic utility functions can be share - 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 - -void ClElementwiseKernel::configure_common(ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst) -{ - configure_common(CLKernelLibrary::get().get_compile_context(), src1, src2, dst); -} - -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); - - _src1 = src1; - _src2 = src2; - _dst = dst; - - 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)); - - 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); - do - { - unsigned int idx = 0; - add_3D_tensor_argument(idx, src_0, slice_src1); - add_3D_tensor_argument(idx, src_1, slice_src2); - 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 |