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>