/* * 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 "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentLogits1DMaxShiftExpSum.h" #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/core/Validate.h" #include "arm_compute/dynamic_fusion/sketch/attributes/SoftmaxAttributes.h" #include "src/core/CL/CLValidate.h" #include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DMaxShiftExpSum.h" namespace arm_compute { namespace experimental { namespace dynamic_fusion { Status ClComponentLogits1DMaxShiftExpSum::validate(const Properties &properties, const ArgumentPack &tensors, const Attributes &attributes) { ARM_COMPUTE_UNUSED(properties, attributes); const ITensorInfo *src = tensors.get_const_tensor(TensorType::ACL_SRC_0); const ITensorInfo *sum = tensors.get_const_tensor(TensorType::ACL_DST_0); const ITensorInfo *dst = tensors.get_const_tensor(TensorType::ACL_DST_1); ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src); ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(sum); ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst); // 1. Check validity // All tensor infos are initialized ARM_COMPUTE_RETURN_ERROR_ON(src->tensor_shape().total_size() == 0); ARM_COMPUTE_RETURN_ERROR_ON(sum->tensor_shape().total_size() == 0); ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0); // Check for mismatches in shapes and data types ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst, sum); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); // Device requirements are met ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); // 2. Check support level ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32); return Status{}; } ClComponentLogits1DMaxShiftExpSum::ClComponentLogits1DMaxShiftExpSum(ComponentId id, const Properties &properties, const ArgumentPack &tensors, const Attributes &attributes) : IGpuKernelComponent{id, properties, tensors}, _component_writer{std::make_unique(id, tensors, attributes)} { } ClComponentLogits1DMaxShiftExpSum::~ClComponentLogits1DMaxShiftExpSum() { } const IGpuTemplateComponentWriter *ClComponentLogits1DMaxShiftExpSum::template_writer() const { return _component_writer.get(); } } // namespace dynamic_fusion } // namespace experimental } // namespace arm_compute