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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
value of the input by 255/6 and cast to quint8. If the output type was qint8 ([-128, 127]), the operation will additionally subtract each value by 128 prior to casting, so that the range of values aligns with the range of qint8. If the mode is 'MIN_FIRST', then this approach is used: ``` num_discrete_values = 1 << (# of bits in T)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
* `tf.lite`: * Added TFLite builtin op support for the following TF ops: * `tf.raw_ops.Bucketize` op on CPU. * `tf.where` op for data types `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`. * `tf.random.normal` op for output data type `tf.float32` on CPU. * `tf.random.uniform` op for output data type `tf.float32` on CPU.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)