tf.raw_ops.QuantizedInstanceNorm

Quantized Instance normalization.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.QuantizedInstanceNorm

tf.raw_ops.QuantizedInstanceNorm(
    x, x_min, x_max, output_range_given=False, given_y_min=0, given_y_max=0,
    variance_epsilon=1e-05, min_separation=0.001, name=None
)

Args
x	A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. A 4D input Tensor.
x_min	A Tensor of type float32. The value represented by the lowest quantized input.
x_max	A Tensor of type float32. The value represented by the highest quantized input.
output_range_given	An optional bool. Defaults to False. If True, given_y_min and given_y_min and given_y_max are used as the output range. Otherwise, the implementation computes the output range.
given_y_min	An optional float. Defaults to 0. Output in y_min if output_range_given is True.
given_y_max	An optional float. Defaults to 0. Output in y_max if output_range_given is True.
variance_epsilon	An optional float. Defaults to 1e-05. A small float number to avoid dividing by 0.
min_separation	An optional float. Defaults to 0.001. Minimum value of y_max - y_min
name	A name for the operation (optional).

Returns
A tuple of Tensor objects (y, y_min, y_max).
y	A Tensor. Has the same type as x.
y_min	A Tensor of type float32.
y_max	A Tensor of type float32.