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mindspore/mindspore/ccsrc/device/cpu/cpu_device_address.cc

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/**
* Copyright 2019 Huawei Technologies Co., Ltd
*
* 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 "device/cpu/cpu_device_address.h"
#include <vector>
#include "device/convert_tensor_utils.h"
namespace mindspore {
namespace device {
namespace cpu {
bool CPUDeviceAddress::SyncDeviceToHost(const std::vector<int> & /*shape*/, size_t size, TypeId type,
void *host_ptr) const {
if (ptr_ == nullptr) {
MS_LOG(ERROR) << "The pointer ptr_ is null!";
return false;
}
if (host_ptr == ptr_) {
MS_LOG(DEBUG) << "host_ptr is equal to ptr_, request ignored.";
return true;
}
if (type == type_id_) {
auto ret_code = memcpy_s(host_ptr, size, ptr_, size);
if (ret_code != EOK) {
MS_LOG(ERROR) << "Failed to copy tensor!";
return false;
}
} else if (type == kNumberTypeFloat16) {
FloatToHalf(host_ptr, ptr_, size / 2);
} else if (type == kNumberTypeFloat64) {
FloatToDouble(host_ptr, ptr_, size / sizeof(double));
} else {
MS_LOG(ERROR) << "Types not match. Device type: " << TypeIdLabel(type_id_) << ", host type: " << TypeIdLabel(type)
<< "!";
return false;
}
return true;
}
bool CPUDeviceAddress::SyncHostToDevice(const std::vector<int> & /*shape*/, size_t size, TypeId type,
const void *host_ptr) const {
if (type == kNumberTypeFloat16) {
HalfToFloat(ptr_, host_ptr, size / 2);
} else if (type == kNumberTypeFloat64) {
DoubleToFloat(ptr_, host_ptr, size / sizeof(double));
}
return true;
}
} // namespace cpu
} // namespace device
} // namespace mindspore