tf.experimental.numpy.arange
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TensorFlow variant of NumPy's arange
.
tf.experimental.numpy.arange(
start, stop=None, step=1, dtype=None
)
Returns step
-separated values in the range [start, stop).
Args:
start: Start of the interval. Included in the range.
stop: End of the interval. If not specified, start
is treated as 0 and
start
value is used as stop
. If specified, it is not included in the
range if step
is integer. When step
is floating point, it may or may
not be included.
step: The difference between 2 consecutive values in the output range. It is
recommended to use linspace
instead of using non-integer values for
step
.
dtype: Optional. Type of the resulting ndarray. Could be a python type, a
NumPy type or a TensorFlow DType
. If not provided, the largest type of
start
, stop
, step
is used.
Raises:
ValueError: If step is zero.
See the NumPy documentation for numpy.arange
.
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Last updated 2023-10-06 UTC.
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