tf.keras.backend.arange
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Creates a 1D tensor containing a sequence of integers.
tf.keras.backend.arange(
start, stop=None, step=1, dtype='int32'
)
The function arguments use the same convention as
Theano's arange: if only one argument is provided,
it is in fact the "stop" argument and "start" is 0.
The default type of the returned tensor is 'int32' to
match TensorFlow's default.
Arguments |
|---|
start
|
Start value.
|
stop
|
Stop value.
|
step
|
Difference between two successive values.
|
dtype
|
Integer dtype to use.
|
Returns |
|---|
|
An integer tensor.
|
Example:
tf.keras.backend.arange(start=0, stop=10, step=1.5)
<tf.Tensor: id=96, shape=(7,), dtype=float32,
numpy=array([0. , 1.5, 3. , 4.5, 6. , 7.5, 9. ], dtype=float32)>
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.arange\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 1 version](/versions/r1.15/api_docs/python/tf/keras/backend/arange) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/keras/backend.py#L2962-L2997) |\n\nCreates a 1D tensor containing a sequence of integers.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.backend.arange`](/api_docs/python/tf/keras/backend/arange)\n\n\u003cbr /\u003e\n\n tf.keras.backend.arange(\n start, stop=None, step=1, dtype='int32'\n )\n\nThe function arguments use the same convention as\nTheano's arange: if only one argument is provided,\nit is in fact the \"stop\" argument and \"start\" is 0.\n\nThe default type of the returned tensor is `'int32'` to\nmatch TensorFlow's default.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------|-------------------------------------------|\n| `start` | Start value. |\n| `stop` | Stop value. |\n| `step` | Difference between two successive values. |\n| `dtype` | Integer dtype to use. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| An integer tensor. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\n tf.keras.backend.arange(start=0, stop=10, step=1.5)\n \u003ctf.Tensor: id=96, shape=(7,), dtype=float32,\n numpy=array([0. , 1.5, 3. , 4.5, 6. , 7.5, 9. ], dtype=float32)\u003e"]]
TensorFlow 1 version
View source on GitHub