tf.raw_ops.QuantizedDepthwiseConv2DWithBias
Computes quantized depthwise Conv2D with Bias.
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_input |
A Tensor of type float32. The float value that the minimum quantized input value represents. |
max_input |
A Tensor of type float32. The float value that the maximum quantized input value represents. |
min_filter |
A Tensor of type float32. The float value that the minimum quantized filter value represents. |
max_filter |
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", "VALID". |
out_type |
An optional tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16. Defaults to tf.qint32. The type of the output. |
dilations |
An optional list of ints. Defaults to [1, 1, 1, 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_type. |
min_output |
A Tensor of type float32. |
max_output |
A Tensor of type float32. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/QuantizedDepthwiseConv2DWithBias