tf.raw_ops.QuantizedConv2DWithBias(
input,
filter,
bias,
min_input,
max_input,
min_filter,
max_filter,
strides,
padding,
out_type=tf.dtypes.qint32
,
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 of type float32 .
|
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 .
|
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.qint32 .
|
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 .
|