Create a numpy ndarray from a tensor.
tf.make_ndarray(
tensor
)
Create a numpy ndarray with the same shape and data as the tensor.
For example:
# Tensor a has shape (2,3)
a = tf.constant([[1,2,3],[4,5,6]])
proto_tensor = tf.make_tensor_proto(a) # convert `tensor a` to a proto tensor
tf.make_ndarray(proto_tensor) # output: array([[1, 2, 3],
# [4, 5, 6]], dtype=int32)
# output has shape (2,3)
Args |
tensor
|
A TensorProto.
|
Returns |
A numpy array with the tensor contents.
|
Raises |
TypeError
|
if tensor has unsupported type.
|