tf.raw_ops.QuantizeAndDequantizeV4

Returns the gradient of QuantizeAndDequantizeV4.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.QuantizeAndDequantizeV4

tf.raw_ops.QuantizeAndDequantizeV4(
    input, input_min, input_max, signed_input=True, num_bits=8, range_given=False,
    round_mode='HALF_TO_EVEN', narrow_range=False, axis=-1, name=None
)

This is almost identical to QuantizeAndDequantizeV2, except that it returns a gradient of 1 for inputs that are within the quantization range, or 0 otherwise.

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.
signed_input	An optional bool. Defaults to True.
num_bits	An optional int. Defaults to 8.
range_given	An optional bool. Defaults to False.
round_mode	An optional string from: "HALF_TO_EVEN", "HALF_UP". Defaults to "HALF_TO_EVEN".
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.