How to change values in a tensor without creating a new tensor?
For example, I have a tensor
:
const size_t input_dims_len = 3;
int64_t input_dims[input_dims_len] = {1, 5, 12};
float input[5 * 12] = {...};
TF_Tensor* input_tensor = TF_NewTensor(TF_FLOAT,
input_dims,
input_dims_len,
input,
5 * 12 * sizeof(float),
deallocate_tensor,
nullptr);
When I change the values in input
, how do make it so that the values in input_tensor
are also changed?
// Allocate tensor
const int input_dims_len = 3;
int64_t input_dims[input_dims_len] = {1, 5, 12};
const int data_size = 5 * 12 * sizeof(float));
TF_Tensor* tensor = TF_AllocateTensor(TF_FLOAT,
input_dims, input_dims_len,
data_size);
// Change values in a tensor
float input[5 * 12] = {...};
std::memcpy(TF_TensorData(tensor), input, std::min(data_size, TF_TensorByteSize(tensor)));
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