tf.keras.ops.array
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Create a tensor.
tf.keras.ops.array(
x, dtype=None
)
Args |
|---|
x
|
Input tensor.
|
dtype
|
The desired data-type for the tensor.
|
Examples:
keras.ops.array([1, 2, 3])
array([1, 2, 3], dtype=int32)
keras.ops.array([1, 2, 3], dtype="float32")
array([1., 2., 3.], dtype=float32)
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Last updated 2024-06-07 UTC.
[null,null,["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.ops.array\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/ops/numpy.py#L983-L1003) |\n\nCreate a tensor.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.ops.numpy.array`](https://www.tensorflow.org/api_docs/python/tf/keras/ops/array)\n\n\u003cbr /\u003e\n\n tf.keras.ops.array(\n x, dtype=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|---------------------------------------|\n| `x` | Input tensor. |\n| `dtype` | The desired data-type for the tensor. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor. ||\n\n\u003cbr /\u003e\n\n#### Examples:\n\n keras.ops.array([1, 2, 3])\n array([1, 2, 3], dtype=int32)\n\n keras.ops.array([1, 2, 3], dtype=\"float32\")\n array([1., 2., 3.], dtype=float32)"]]
View source on GitHub
