Computes quantized depthwise Conv2D.
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Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.QuantizedDepthwiseConv2D(
input,
filter,
min_input,
max_input,
min_filter,
max_filter,
strides,
padding,
out_type=tf.dtypes.qint32
,
dilations=[1, 1, 1, 1],
name=None
)
Args | |
---|---|
input
|
A Tensor . Must be one of the following types: qint8 , quint8 , qint32 , qint16 , quint16 .
The original input tensor.
|
filter
|
A Tensor . Must be one of the following types: qint8 , quint8 , qint32 , qint16 , quint16 .
The original filter tensor.
|
min_
|
A Tensor of type float32 .
The float value that the minimum quantized input value represents.
|
max_
|
A Tensor of type float32 .
The float value that the maximum quantized input value represents.
|
min_
|
A Tensor of type float32 .
The float value that the minimum quantized filter value represents.
|
max_
|
A Tensor of type float32 .
The float value that the maximum quantized filter value represents.
|
strides
|
A list of ints . List of stride values.
|
padding
|
A string from: "SAME", .
|
out_
|
An optional tf.DType from: tf. . Defaults to tf.qint32 .
The type of the output.
|
dilations
|
An optional list of ints . Defaults to [1, .
List of dilation values.
|
name
|
A name for the operation (optional). |