TensorFlow 2 version | View source on GitHub |
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 | |
---|---|
*args
|
Tensor s with rank 1.
|
**kwargs
|
|
Returns | |
---|---|
outputs
|
A list of N Tensor s with rank N.
|
Raises | |
---|---|
TypeError
|
When no keyword arguments (kwargs) are passed. |
ValueError
|
When indexing keyword argument is not one of xy or ij .
|