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Create a numpy ndarray from a tensor.
meridian
.
backend
.
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)
A numpy array with the tensor contents.
if tensor has unsupported type.
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, and code samples are licensed under the Apache 2.0 License
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Last updated 2025-09-23 UTC.
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