tf.raw_ops.QuantizedConv2DAndRequantize(
input, filter, min_input, max_input, min_filter, max_filter, min_freezed_output,
max_freezed_output, strides, padding, out_type=tf.dtypes.qint8, 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 .
|
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 .
|
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.qint8 .
|
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 .
|