Concatenates quantized tensors along one dimension.
View aliases
Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.QuantizedConcat(
concat_dim, values, input_mins, input_maxes, name=None
)
tf.raw_ops.QuantizedConcat
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.QuantizedConcat\n\n\u003cbr /\u003e\n\nConcatenates quantized tensors along one dimension.\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.QuantizedConcat`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedConcat)\n\n\u003cbr /\u003e\n\n tf.raw_ops.QuantizedConcat(\n concat_dim, values, input_mins, input_maxes, name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `concat_dim` | A `Tensor` of type `int32`. 0-D. The dimension along which to concatenate. Must be in the range \\[0, rank(values)). |\n| `values` | A list of at least 2 `Tensor` objects with the same type. The `N` Tensors to concatenate. Their ranks and types must match, and their sizes must match in all dimensions except `concat_dim`. |\n| `input_mins` | A list with the same length as `values` of `Tensor` objects with type `float32`. The minimum scalar values for each of the input tensors. |\n| `input_maxes` | A list with the same length as `values` of `Tensor` objects with type `float32`. The maximum scalar values for each of the input tensors. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|--------------|--------------------------------------------|\n| A tuple of `Tensor` objects (output, output_min, output_max). ||\n| `output` | A `Tensor`. Has the same type as `values`. |\n| `output_min` | A `Tensor` of type `float32`. |\n| `output_max` | A `Tensor` of type `float32`. |\n\n\u003cbr /\u003e"]]