diff options
Diffstat (limited to 'runtimes/neurun/backend/acl_cl/operand/CLTensor.cc')
-rw-r--r-- | runtimes/neurun/backend/acl_cl/operand/CLTensor.cc | 62 |
1 files changed, 62 insertions, 0 deletions
diff --git a/runtimes/neurun/backend/acl_cl/operand/CLTensor.cc b/runtimes/neurun/backend/acl_cl/operand/CLTensor.cc new file mode 100644 index 000000000..6153fc2e4 --- /dev/null +++ b/runtimes/neurun/backend/acl_cl/operand/CLTensor.cc @@ -0,0 +1,62 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "CLTensor.h" + +#include <arm_compute/runtime/CL/CLScheduler.h> +#include <arm_compute/runtime/CL/CLMemory.h> +#include <arm_compute/runtime/CL/CLMemoryRegion.h> + +#include <Convert.h> + +namespace neurun +{ +namespace backend +{ +namespace acl_cl +{ +namespace operand +{ + +CLTensor::CLTensor(const arm_compute::TensorInfo &info, size_t rank) + : _cl_tensor(std::make_shared<arm_compute::CLTensor>()), _rank{rank} +{ + allocator()->init(info); +} + +const arm_compute::CLTensor *CLTensor::handle() const { return _cl_tensor.get(); } + +arm_compute::CLTensor *CLTensor::handle() { return _cl_tensor.get(); } + +arm_compute::CLTensorAllocator *CLTensor::allocator() { return _cl_tensor->allocator(); } + +void CLTensor::map(bool blocking) { _cl_tensor->map(blocking); } + +void CLTensor::unmap() { _cl_tensor->unmap(); } + +void CLTensor::setBuffer(void *host_ptr) +{ + // Constructs a Buffer on a user-supplied memory + auto buffer = cl::Buffer(arm_compute::CLScheduler::get().context(), + CL_MEM_USE_HOST_PTR | CL_MEM_READ_WRITE, info()->total_size(), host_ptr); + // import memory + allocator()->import_memory(buffer); +} + +} // namespace operand +} // namespace acl_cl +} // namespace backend +} // namespace neurun |