/* * Copyright (c) 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/runtime/gpu/cl/operators/ClDequantize.h" #include "arm_compute/core/Error.h" #include "arm_compute/runtime/CL/CLScheduler.h" #include "src/core/gpu/cl/ClCompileContext.h" #include "src/core/gpu/cl/kernels/ClDequantizeKernel.h" namespace arm_compute { namespace opencl { void ClDequantize::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst) { auto k = std::make_unique(); k->configure(compile_context, src, dst); _kernel = std::move(k); } Status ClDequantize::validate(const ITensorInfo *src, const ITensorInfo *dst) { return kernels::ClDequantizeKernel::validate(src, dst); } void ClDequantize::run(ITensorPack &tensors) { ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided"); CLScheduler::get().enqueue_op(*_kernel.get(), tensors); } } // namespace opencl } // namespace arm_compute