tf.experimental.numpy.meshgrid
Stay organized with collections
Save and categorize content based on your preferences.
TensorFlow variant of NumPy's meshgrid
.
tf.experimental.numpy.meshgrid(
*xi, **kwargs
)
Unsupported arguments: copy
, sparse
, indexing
.
This currently requires copy=True and sparse=False.
See the NumPy documentation for numpy.meshgrid
.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.experimental.numpy.meshgrid\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/numpy_ops/np_math_ops.py#L1514-L1538) |\n\nTensorFlow variant of NumPy's `meshgrid`. \n\n tf.experimental.numpy.meshgrid(\n *xi, **kwargs\n )\n\nUnsupported arguments: `copy`, `sparse`, `indexing`.\n\nThis currently requires copy=True and sparse=False.\n\nSee the NumPy documentation for [`numpy.meshgrid`](https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html)."]]