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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let hasCanonicalizer = 1; } def TF_OneHotOp : TF_Op<"OneHot", [Pure]> { let summary = "Returns a one-hot tensor."; let description = [{ The locations represented by indices in `indices` take value `on_value`, while all other locations take value `off_value`. If the input `indices` is rank `N`, the output will have rank `N+1`, The new axis is created at dimension `axis` (default: the new axis is
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
* Improvements and fixes in Keras loss masking:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)