Use QuantizeAndDequantizeV2 instead.
tf.raw_ops.QuantizeAndDequantize(
input,
signed_input=True,
num_bits=8,
range_given=False,
input_min=0,
input_max=0,
name=None
)
Returns | |
|---|---|
A Tensor. Has the same type as input.
|
tf.raw_ops.QuantizeAndDequantize
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.raw_ops.QuantizeAndDequantize\n\n\u003cbr /\u003e\n\nUse QuantizeAndDequantizeV2 instead.\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.raw_ops.QuantizeAndDequantize`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizeAndDequantize)\n\n\u003cbr /\u003e\n\n tf.raw_ops.QuantizeAndDequantize(\n input,\n signed_input=True,\n num_bits=8,\n range_given=False,\n input_min=0,\n input_max=0,\n name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------|-------------------------------------------------------------------------------------------|\n| `input` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`. |\n| `signed_input` | An optional `bool`. Defaults to `True`. |\n| `num_bits` | An optional `int`. Defaults to `8`. |\n| `range_given` | An optional `bool`. Defaults to `False`. |\n| `input_min` | An optional `float`. Defaults to `0`. |\n| `input_max` | An optional `float`. Defaults to `0`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `input`. ||\n\n\u003cbr /\u003e"]]