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op {
graph_op_name: "QuantizedInstanceNorm"
in_arg {
name: "x"
description: <<END
A 4D input Tensor.
END
}
in_arg {
name: "x_min"
description: <<END
The value represented by the lowest quantized input.
END
}
in_arg {
name: "x_max"
description: <<END
The value represented by the highest quantized input.
END
}
out_arg {
name: "y"
description: <<END
A 4D Tensor.
END
}
out_arg {
name: "y_min"
description: <<END
The value represented by the lowest quantized output.
END
}
out_arg {
name: "y_max"
description: <<END
The value represented by the highest quantized output.
END
}
attr {
name: "output_range_given"
description: <<END
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.
END
}
attr {
name: "given_y_min"
description: <<END
Output in `y_min` if `output_range_given` is True.
END
}
attr {
name: "given_y_max"
description: <<END
Output in `y_max` if `output_range_given` is True.
END
}
attr {
name: "variance_epsilon"
description: <<END
A small float number to avoid dividing by 0.
END
}
attr {
name: "min_separation"
description: <<END
Minimum value of `y_max - y_min`
END
}
summary: "Quantized Instance normalization."
}
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