| /* |
| * Copyright (c) 2022-2023 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 "ClComponentElementwiseBinary.h" |
| |
| #include "arm_compute/core/Validate.h" |
| #include "src/core/CL/CLValidate.h" |
| #ifndef ACL_INTERNAL_TEST_CKW_IN_DF |
| #include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateElementwiseBinary.h" |
| #else //ACL_INTERNAL_TEST_CKW_IN_DF |
| #include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwElementwiseBinary.h" |
| #endif //ACL_INTERNAL_TEST_CKW_IN_DF |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| namespace dynamic_fusion |
| { |
| namespace |
| { |
| std::set<ElementwiseBinaryCommonAttributes::ElementwiseOp> supported_ops |
| { |
| ElementwiseBinaryCommonAttributes::ElementwiseOp::Add, |
| ElementwiseBinaryCommonAttributes::ElementwiseOp::Sub, |
| ElementwiseBinaryCommonAttributes::ElementwiseOp::Mul |
| }; |
| } |
| |
| Status ClComponentElementwiseBinary::validate(const ArgumentPack<ITensorInfo> &tensors, const ElementwiseBinaryCommonAttributes &attributes) |
| { |
| const auto lhs = tensors.get_const_tensor(TensorType::ACL_SRC_0); |
| const auto rhs = tensors.get_const_tensor(TensorType::ACL_SRC_1); |
| const auto dst = tensors.get_const_tensor(TensorType::ACL_DST_0); |
| |
| // Check operator type |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(supported_ops.find(attributes.operation()) == supported_ops.end(), "Provided Elementwise operation not supported."); |
| |
| // Check validity |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs, dst); |
| |
| //Check data type for different elementwise operators |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lhs, 1, DataType::F32, DataType::F16, DataType::S32, DataType::S16, DataType::U8); |
| |
| // dst shape is correct |
| const TensorShape out_shape = TensorShape::broadcast_shape(lhs->tensor_shape(), rhs->tensor_shape()); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst->tensor_shape(), 0), "Wrong shape for dst."); |
| |
| const auto &lhs_shape = lhs->tensor_shape(); |
| const auto &rhs_shape = rhs->tensor_shape(); |
| const auto &dst_shape = dst->tensor_shape(); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG( |
| detail::have_different_dimensions(lhs_shape, dst_shape, 0) && detail::have_different_dimensions(rhs_shape, dst_shape, 0), |
| "Only LHS or RHS can be broadcasting, not both."); |
| |
| // Dimension Y and Z are collapsed together in the current kernel implementation, |
| // hence they cannot be independently broadcast or non-broadcast. |
| // See: ClTemplateElementwiseBinary::get_window |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG( |
| (lhs_shape[1] != dst_shape[1] || rhs_shape[1] != dst_shape[1]) != (lhs_shape[2] != dst_shape[2] || rhs_shape[2] != dst_shape[2]), |
| "Dimension Y and Z must both be either broadcast or non-broadcast."); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG( |
| detail::have_different_dimensions(lhs_shape, dst_shape, 3), |
| "LHS broadcast in dimension 3 or higher is not supported."); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG( |
| detail::have_different_dimensions(rhs_shape, dst_shape, 3), |
| "RHS broadcast in dimension 3 or higher is not supported."); |
| |
| // Matching data type |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, rhs); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, dst); |
| |
| // Matching data layout |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(lhs, rhs); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(lhs, dst); |
| |
| // All tensor infos are initialized |
| ARM_COMPUTE_RETURN_ERROR_ON(lhs->tensor_shape().total_size() == 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(rhs->tensor_shape().total_size() == 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0); |
| |
| // Device requirements are met |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(lhs); |
| |
| return Status{}; |
| } |
| |
| ClComponentElementwiseBinary::~ClComponentElementwiseBinary() |
| { |
| } |
| ClComponentElementwiseBinary::ClComponentElementwiseBinary( |
| ComponentId id, |
| const Properties &properties, |
| const ArgumentPack<ITensorInfo> &tensors, |
| const Attributes &attributes) |
| : IGpuKernelComponent{ id, properties, tensors }, |
| #ifndef ACL_INTERNAL_TEST_CKW_IN_DF |
| _component_writer |
| { |
| std::make_unique<ClTemplateElementwiseBinary>(id, tensors, attributes) |
| } |
| #else //ACL_INTERNAL_TEST_CKW_IN_DF |
| _component_writer |
| { |
| std::make_unique<GpuCkwElementwiseBinary>(id, tensors, attributes) |
| } |
| #endif //ACL_INTERNAL_TEST_CKW_IN_DF |
| { |
| } |
| |
| #ifndef ACL_INTERNAL_TEST_CKW_IN_DF |
| const IGpuTemplateComponentWriter *ClComponentElementwiseBinary::template_writer() const |
| #else //ACL_INTERNAL_TEST_CKW_IN_DF |
| const IGpuCkwComponentDriver *ClComponentElementwiseBinary::ckw_component_driver() const |
| #endif //ACL_INTERNAL_TEST_CKW_IN_DF |
| { |
| return _component_writer.get(); |
| } |
| |
| } // namespace dynamic_fusion |
| } // namespace experimental |
| } // namespace arm_compute |