Computes quantized depthwise Conv2D with Bias.
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Compat aliases for migration
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tf.raw_ops.QuantizedDepthwiseConv2DWithBias(
input, filter, bias, 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.
|
bias
|
A Tensor of type float32 . The original bias 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). |
Returns | |
---|---|
A tuple of Tensor objects (output, min_output, max_output).
|
|
output
|
A Tensor of type out_ .
|
min_
|
A Tensor of type float32 .
|
max_
|
A Tensor of type float32 .
|