tf.raw_ops.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize

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).

A tuple of