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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let summary = "Outputs random values from a uniform distribution."; let description = [{ The generated values follow a uniform distribution in the range `[0, 1)`. The lower bound 0 is included in the range, while the upper bound 1 is excluded. }]; let arguments = (ins
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
* Improve error message when attempting to use `None` in data-dependent control flow. * Add `RaggedTensor.numpy()`. * Update `RaggedTensor.__getitem__` to preserve uniform dimensions & allow indexing into uniform dimensions. * Update `tf.expand_dims` to always insert the new dimension as a non-ragged dimension. * Update `tf.embedding_lookup` to use `partition_strategy` and `max_norm`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)