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TensorFlow 1 version
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View source on GitHub
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Broadcasts parameters for evaluation on an N-D grid.
tf.meshgrid(
*args, **kwargs
)
Given N one-dimensional coordinate arrays *args, returns a list outputs
of N-D coordinate arrays for evaluating expressions on an N-D grid.
Notes:
meshgrid supports cartesian ('xy') and matrix ('ij') indexing conventions.
When the indexing argument is set to 'xy' (the default), the broadcasting
instructions for the first two dimensions are swapped.
Examples:
Calling X, Y = meshgrid(x, y) with the tensors
x = [1, 2, 3]
y = [4, 5, 6]
X, Y = tf.meshgrid(x, y)
# X = [[1, 2, 3],
# [1, 2, 3],
# [1, 2, 3]]
# Y = [[4, 4, 4],
# [5, 5, 5],
# [6, 6, 6]]
Args | |
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*args
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Tensors with rank 1.
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**kwargs
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Returns | |
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outputs
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A list of N Tensors with rank N.
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Raises | |
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TypeError
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When no keyword arguments (kwargs) are passed. |
ValueError
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When indexing keyword argument is not one of xy or ij.
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