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Add usage example to tf.nn.conv2d() #35644

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Jan 13, 2020
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Add usage example to tf.nn.conv2d() #35644

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Merge pull request #1 from boronhub/gci-task
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Add usage example to tf.nn.conv2d()
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16 changes: 16 additions & 0 deletions tensorflow/python/ops/nn_ops.py
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Expand Up @@ -1849,6 +1849,22 @@ def conv2d_v2(input, # pylint: disable=redefined-builtin

Must have `strides[0] = strides[3] = 1`. For the most common case of the same
horizontal and vertical strides, `strides = [1, stride, stride, 1]`.

Usage Example:

>>> x_in = np.array([[
... [[2], [1], [2], [0], [1]],
... [[1], [3], [2], [2], [3]],
... [[1], [1], [3], [3], [0]],
... [[2], [2], [0], [1], [1]],
... [[0], [0], [3], [1], [2]], ]])
>>> kernel_in = np.array([
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... [ [[2, 0.1]], [[3, 0.2]] ],
... [ [[0, 0.3]],[[1, 0.4]] ], ])
>>> x = tf.constant(x_in, dtype=tf.float32)
>>> kernel = tf.constant(kernel_in, dtype=tf.float32)
>>> tf.nn.conv2d(x, kernel, strides=[1, 1, 1, 1], padding='VALID')
<tf.Tensor: shape=(1, 4, 4, 2), dtype=float32, numpy=..., dtype=float32)>

Args:
input: A `Tensor`. Must be one of the following types:
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