experiments/STT-tensorflow
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changing example output format

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This commit is contained in:
Harsh188 2020-09-19 22:31:08 +05:30
parent 875936191c
commit c76508b9e7
1 changed files with 9 additions and 9 deletions
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18
tensorflow/python/ops/math_ops.py
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@ -545,8 +545,8 @@ def subtract(x, y, name=None):
>>> x = tf.constant([1.0, -1.0, 5.0, -2.0, 0.0])
>>> y = tf.constant([5.0, 1.0, 3.7, -19.9, float("inf")])
>>> tf.subtract(x,y)
<tf.Tensor: shape=(5,), dtype=float32, numpy=
array([-4. , -2. , 1.3, 17.9, -inf], dtype=float32)>
<tf.Tensor: shape=(5,), dtype=float32,
numpy= array([-4. , -2. , 1.3, 17.9, -inf], dtype=float32)>
Args:
x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`,
@ -4972,8 +4972,8 @@ def add(x, y, name=None):
>>> x = tf.constant([1.0, -1.0, 5.0, -2.0, 0.0])
>>> y = tf.constant([5.0, 1.0, 3.7, -19.9, float("inf")])
>>> tf.add(x,y)
<tf.Tensor: shape=(5,), dtype=float32, numpy=
array([ 6. , 0. , 8.7, -21.9, inf], dtype=float32)>
<tf.Tensor: shape=(5,), dtype=float32,
numpy= array([ 6. , 0. , 8.7, -21.9, inf], dtype=float32)>
Args:
x: A `Tensor`. Must be one of the following types:
@ -5004,9 +5004,9 @@ def acos(x, name=None):
>>> x = tf.constant([1.0, -0.5, 3.4, 0.2, 0.0, -2], dtype = tf.float32)
>>> tf.math.acos(x)
<tf.Tensor: shape=(6,), dtype=float32, numpy=
array([0. , 2.0943952, nan, 1.3694383, 1.5707964, nan],
dtype=float32)>
<tf.Tensor: shape=(6,), dtype=float32,
numpy= array([0. , 2.0943952, nan, 1.3694383, 1.5707964, nan],
dtype=float32)>
Args:
x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`,
@ -5032,8 +5032,8 @@ def floor(x, name=None):
>>> x = tf.constant([1.3324, -1.5, 5.555, -2.532, 0.99, float("inf")])
>>> tf.floor(x)
<tf.Tensor: shape=(6,), dtype=float32, numpy=
array([ 1., -2., 5., -3., 0., inf], dtype=float32)>
<tf.Tensor: shape=(6,), dtype=float32,
numpy= array([ 1., -2., 5., -3., 0., inf], dtype=float32)>
Args:
x: A `Tensor`. Must be one of the following types: