tf.raw_ops.QuantizedReshape
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Reshapes a quantized tensor as per the Reshape op.
tf.raw_ops.QuantizedReshape(
tensor, shape, input_min, input_max, name=None
)
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<tr><th colspan="2"><h2 class="add-link">Args</h2></th></tr>
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`tensor`
</td>
<td>
A `Tensor`.
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`shape`
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A `Tensor`. Must be one of the following types: `int32`, `int64`.
Defines the shape of the output tensor.
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`input_min`
</td>
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A `Tensor` of type `float32`. The minimum value of the input.
</td>
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`input_max`
</td>
<td>
A `Tensor` of type `float32`. The maximum value of the input.
</td>
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`name`
</td>
<td>
A name for the operation (optional).
</td>
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<tr><th colspan="2"><h2 class="add-link">Returns</h2></th></tr>
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A tuple of `Tensor` objects (output, output_min, output_max).
</td>
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`output`
</td>
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A `Tensor`. Has the same type as `tensor`.
</td>
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`output_min`
</td>
<td>
A `Tensor` of type `float32`.
</td>
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`output_max`
</td>
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A `Tensor` of type `float32`.
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Last updated 2021-05-14 UTC.
[null,null,["Last updated 2021-05-14 UTC."],[],[],null,["# tf.raw_ops.QuantizedReshape\n\n\u003cbr /\u003e\n\nReshapes a quantized tensor as per the Reshape op.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.QuantizedReshape`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedReshape)\n\n\u003cbr /\u003e\n\n tf.raw_ops.QuantizedReshape(\n tensor, shape, input_min, input_max, name=None\n )\n\n\n \u003c!-- Tabular view --\u003e\n \u003ctable class=\"responsive fixed orange\"\u003e\n \u003ccolgroup\u003e\u003ccol width=\"214px\"\u003e\u003ccol\u003e\u003c/colgroup\u003e\n \u003ctr\u003e\u003cth colspan=\"2\"\u003e\u003ch2 class=\"add-link\"\u003eArgs\u003c/h2\u003e\u003c/th\u003e\u003c/tr\u003e\n\n \u003ctr\u003e\n \u003ctd\u003e\n `tensor`\n \u003c/td\u003e\n \u003ctd\u003e\n A `Tensor`.\n \u003c/td\u003e\n \u003c/tr\u003e\u003ctr\u003e\n \u003ctd\u003e\n `shape`\n \u003c/td\u003e\n \u003ctd\u003e\n A `Tensor`. Must be one of the following types: `int32`, `int64`.\n Defines the shape of the output tensor.\n \u003c/td\u003e\n \u003c/tr\u003e\u003ctr\u003e\n \u003ctd\u003e\n `input_min`\n \u003c/td\u003e\n \u003ctd\u003e\n A `Tensor` of type `float32`. The minimum value of the input.\n \u003c/td\u003e\n \u003c/tr\u003e\u003ctr\u003e\n \u003ctd\u003e\n `input_max`\n \u003c/td\u003e\n \u003ctd\u003e\n A `Tensor` of type `float32`. The maximum value of the input.\n \u003c/td\u003e\n \u003c/tr\u003e\u003ctr\u003e\n \u003ctd\u003e\n `name`\n \u003c/td\u003e\n \u003ctd\u003e\n A name for the operation (optional).\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/table\u003e\n\n\n\n \u003c!-- Tabular view --\u003e\n \u003ctable class=\"responsive fixed orange\"\u003e\n \u003ccolgroup\u003e\u003ccol width=\"214px\"\u003e\u003ccol\u003e\u003c/colgroup\u003e\n \u003ctr\u003e\u003cth colspan=\"2\"\u003e\u003ch2 class=\"add-link\"\u003eReturns\u003c/h2\u003e\u003c/th\u003e\u003c/tr\u003e\n \u003ctr class=\"alt\"\u003e\n \u003ctd colspan=\"2\"\u003e\n A tuple of `Tensor` objects (output, output_min, output_max).\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n `output`\n \u003c/td\u003e\n \u003ctd\u003e\n A `Tensor`. Has the same type as `tensor`.\n \u003c/td\u003e\n \u003c/tr\u003e\u003ctr\u003e\n \u003ctd\u003e\n `output_min`\n \u003c/td\u003e\n \u003ctd\u003e\n A `Tensor` of type `float32`.\n \u003c/td\u003e\n \u003c/tr\u003e\u003ctr\u003e\n \u003ctd\u003e\n `output_max`\n \u003c/td\u003e\n \u003ctd\u003e\n A `Tensor` of type `float32`.\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/table\u003e"]]
