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提交 a2fededf 编写于 作者: 开心的小妮's avatar 开心的小妮
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add support CopyFromCpu / CopyToCpu. test=develop

上级 a8e13aae
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lite/api/paddle_api.cc
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...@@ -126,11 +126,13 @@ template void Tensor::CopyFromCpu<int, TargetType::kHost>(const int *); ...@@ -126,11 +126,13 @@ template void Tensor::CopyFromCpu<int, TargetType::kHost>(const int *);
template void Tensor::CopyFromCpu<float, TargetType::kHost>(const float *); template void Tensor::CopyFromCpu<float, TargetType::kHost>(const float *);
template void Tensor::CopyFromCpu<int8_t, TargetType::kHost>(const int8_t *); template void Tensor::CopyFromCpu<int8_t, TargetType::kHost>(const int8_t *);
template void Tensor::CopyFromCpu<uint8_t, TargetType::kHost>(const uint8_t *); template void Tensor::CopyFromCpu<uint8_t, TargetType::kHost>(const uint8_t *);
template void Tensor::CopyFromCpu<int64_t, TargetType::kHost>(const int64_t *);
template void Tensor::CopyFromCpu<int, TargetType::kARM>(const int *); template void Tensor::CopyFromCpu<int, TargetType::kARM>(const int *);
template void Tensor::CopyFromCpu<float, TargetType::kARM>(const float *); template void Tensor::CopyFromCpu<float, TargetType::kARM>(const float *);
template void Tensor::CopyFromCpu<int8_t, TargetType::kARM>(const int8_t *); template void Tensor::CopyFromCpu<int8_t, TargetType::kARM>(const int8_t *);
template void Tensor::CopyFromCpu<uint8_t, TargetType::kARM>(const uint8_t *); template void Tensor::CopyFromCpu<uint8_t, TargetType::kARM>(const uint8_t *);
template void Tensor::CopyFromCpu<int64_t, TargetType::kARM>(const int64_t *);
template void Tensor::CopyFromCpu<int, TargetType::kCUDA>(const int *); template void Tensor::CopyFromCpu<int, TargetType::kCUDA>(const int *);
template void Tensor::CopyFromCpu<int64_t, TargetType::kCUDA>(const int64_t *); template void Tensor::CopyFromCpu<int64_t, TargetType::kCUDA>(const int64_t *);
...@@ -141,6 +143,7 @@ template void Tensor::CopyToCpu(float *) const; ...@@ -141,6 +143,7 @@ template void Tensor::CopyToCpu(float *) const;
template void Tensor::CopyToCpu(int *) const; template void Tensor::CopyToCpu(int *) const;
template void Tensor::CopyToCpu(int8_t *) const; template void Tensor::CopyToCpu(int8_t *) const;
template void Tensor::CopyToCpu(uint8_t *) const; template void Tensor::CopyToCpu(uint8_t *) const;
template void Tensor::CopyToCpu(int64_t *) const;
shape_t Tensor::shape() const { shape_t Tensor::shape() const {
return ctensor(raw_tensor_)->dims().Vectorize(); return ctensor(raw_tensor_)->dims().Vectorize();
......
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