tf.raw_ops.QuantizedDepthwiseConv2D | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.QuantizedDepthwiseConv2D
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Computes quantized depthwise Conv2D.
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tf.compat.v1.raw_ops.QuantizedDepthwiseConv2D
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_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. |
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Last updated 2024-04-26 UTC.