tf.keras.backend.cast_to_floatx
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Cast a Numpy array to the default Keras float type.
tf.keras.backend.cast_to_floatx(
x
)
Returns |
|---|
|
The same Numpy array, cast to its new type.
|
Example:
from tensorflow.keras import backend as K
K.floatx()
'float32'
arr = numpy.array([1.0, 2.0], dtype='float64')
arr.dtype
dtype('float64')
new_arr = K.cast_to_floatx(arr)
new_arr
array([ 1., 2.], dtype=float32)
new_arr.dtype
dtype('float32')
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.cast_to_floatx\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/backend/cast_to_floatx) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/backend.py#L150-L175) |\n\nCast a Numpy array to the default Keras float type.\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.cast_to_floatx`](/api_docs/python/tf/keras/backend/cast_to_floatx), \\`tf.compat.v2.keras.backend.cast_to_floatx\\`\n\n\u003cbr /\u003e\n\n tf.keras.backend.cast_to_floatx(\n x\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-----|--------------|\n| `x` | Numpy array. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The same Numpy array, cast to its new type. ||\n\n\u003cbr /\u003e\n\n#### Example:\n\n from tensorflow.keras import backend as K\n K.floatx()\n 'float32'\n arr = numpy.array([1.0, 2.0], dtype='float64')\n arr.dtype\n dtype('float64')\n new_arr = K.cast_to_floatx(arr)\n new_arr\n array([ 1., 2.], dtype=float32)\n new_arr.dtype\n dtype('float32')"]]
TensorFlow 2 version
View source on GitHub