Copy a tensor from CPU-to-CPU or GPU-to-GPU.
tf.raw_ops.Copy(
input, tensor_name='', debug_ops_spec=[], name=None
)
Performs CPU-to-CPU or GPU-to-GPU deep-copying of tensor, depending on the device on which the tensor is allocated. N.B.: If the all downstream attached debug ops are disabled given the current gRPC gating status, the output will simply forward the input tensor without deep-copying. See the documentation of Debug* ops for more details.
Unlike the CopyHost Op, this op does not have HostMemory constraint on its input or output.
Args | |
|---|---|
input
|
A Tensor. Input tensor.
|
tensor_name
|
An optional string. Defaults to "".
The name of the input tensor.
|
debug_ops_spec
|
An optional list of strings. Defaults to [].
A list of debug op spec (op, url, gated_grpc) for attached debug
ops. Each element of the list has the format
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as input.
|