tf.raw_ops.QuantizeAndDequantizeV3

Quantizes then dequantizes a tensor.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.QuantizeAndDequantizeV3

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.