Reshapes a quantized tensor as per the Reshape op.
tf.raw_ops.QuantizedReshape(
tensor, shape, input_min, input_max, name=None
)
<!-- Tabular view -->
<table class="responsive fixed orange">
<colgroup><col width="214px"><col></colgroup>
<tr><th colspan="2"><h2 class="add-link">Args</h2></th></tr>
<tr>
<td>
`tensor`<a id="tensor"></a>
</td>
<td>
A `Tensor`.
</td>
</tr><tr>
<td>
`shape`<a id="shape"></a>
</td>
<td>
A `Tensor`. Must be one of the following types: `int32`, `int64`.
Defines the shape of the output tensor.
</td>
</tr><tr>
<td>
`input_min`<a id="input_min"></a>
</td>
<td>
A `Tensor` of type `float32`. The minimum value of the input.
</td>
</tr><tr>
<td>
`input_max`<a id="input_max"></a>
</td>
<td>
A `Tensor` of type `float32`. The maximum value of the input.
</td>
</tr><tr>
<td>
`name`<a id="name"></a>
</td>
<td>
A name for the operation (optional).
</td>
</tr>
</table>
<!-- Tabular view -->
<table class="responsive fixed orange">
<colgroup><col width="214px"><col></colgroup>
<tr><th colspan="2"><h2 class="add-link">Returns</h2></th></tr>
<tr class="alt">
<td colspan="2">
A tuple of `Tensor` objects (output, output_min, output_max).
</td>
</tr>
<tr>
<td>
`output`<a id="output"></a>
</td>
<td>
A `Tensor`. Has the same type as `tensor`.
</td>
</tr><tr>
<td>
`output_min`<a id="output_min"></a>
</td>
<td>
A `Tensor` of type `float32`.
</td>
</tr><tr>
<td>
`output_max`<a id="output_max"></a>
</td>
<td>
A `Tensor` of type `float32`.
</td>
</tr>
</table>