tf.raw_ops.QuantizedConv2DWithBiasSumAndReluAndRequantize

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tf.compat.v1.raw_ops.QuantizedConv2DWithBiasSumAndReluAndRequantize

tf.raw_ops.QuantizedConv2DWithBiasSumAndReluAndRequantize(
    input, filter, bias, min_input, max_input, min_filter, max_filter,
    min_freezed_output, max_freezed_output, summand, min_summand, max_summand,
    strides, padding, out_type=tf.dtypes.quint8, dilations=[1, 1, 1, 1],
    padding_list=[], name=None
)

Args
input	A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
filter	A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
bias	A Tensor. Must be one of the following types: float32, qint32.
min_input	A Tensor of type float32.
max_input	A Tensor of type float32.
min_filter	A Tensor of type float32.
max_filter	A Tensor of type float32.
min_freezed_output	A Tensor of type float32.
max_freezed_output	A Tensor of type float32.
summand	A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
min_summand	A Tensor of type float32.
max_summand	A Tensor of type float32.
strides	A list of ints.
padding	A string from: "SAME", "VALID".
out_type	An optional tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16. Defaults to tf.quint8.
dilations	An optional list of ints. Defaults to [1, 1, 1, 1].
padding_list	An optional list of ints. Defaults to [].
name	A name for the operation (optional).

Returns
A tuple of Tensor objects (output, min_output, max_output).
output	A Tensor of type out_type.
min_output	A Tensor of type float32.
max_output	A Tensor of type float32.