tf.raw_ops.QuantizeAndDequantizeV3
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Quantizes then dequantizes a tensor.
tf.raw_ops.QuantizeAndDequantizeV3(
input,
input_min,
input_max,
num_bits,
signed_input=True,
range_given=True,
narrow_range=False,
axis=-1,
name=None
)
This is almost identical to QuantizeAndDequantizeV2, except that num_bits is a
tensor, so its value can change during training.
Args |
|---|
input
|
A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
|
input_min
|
A Tensor. Must have the same type as input.
|
input_max
|
A Tensor. Must have the same type as input.
|
num_bits
|
A Tensor of type int32.
|
signed_input
|
An optional bool. Defaults to True.
|
range_given
|
An optional bool. Defaults to True.
|
narrow_range
|
An optional bool. Defaults to False.
|
axis
|
An optional int. Defaults to -1.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as input.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.QuantizeAndDequantizeV3\n\n\u003cbr /\u003e\n\nQuantizes then dequantizes a tensor.\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.QuantizeAndDequantizeV3`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV3)\n\n\u003cbr /\u003e\n\n tf.raw_ops.QuantizeAndDequantizeV3(\n input,\n input_min,\n input_max,\n num_bits,\n signed_input=True,\n range_given=True,\n narrow_range=False,\n axis=-1,\n name=None\n )\n\nThis is almost identical to QuantizeAndDequantizeV2, except that num_bits is a\ntensor, so its value can change during training.\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| `input_min` | A `Tensor`. Must have the same type as `input`. |\n| `input_max` | A `Tensor`. Must have the same type as `input`. |\n| `num_bits` | A `Tensor` of type `int32`. |\n| `signed_input` | An optional `bool`. Defaults to `True`. |\n| `range_given` | An optional `bool`. Defaults to `True`. |\n| `narrow_range` | An optional `bool`. Defaults to `False`. |\n| `axis` | An optional `int`. Defaults to `-1`. |\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"]]
