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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
depth = 3 on_value = 5.0 off_value = 0.0 axis = -1 ``` Then output is `[4 x 3]`: ``` output = [5.0 0.0 0.0] // one_hot(0) [0.0 0.0 5.0] // one_hot(2) [0.0 0.0 0.0] // one_hot(-1) [0.0 5.0 0.0] // one_hot(1) ``` Suppose that ``` indices = [0, 2, -1, 1] depth = 3 on_value = 0.0 off_value = 3.0 axis = 0 ```
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
uprank rank 1 inputs, so these layers can now multi-hot encode unbatched multi-dimensional samples. * Added a new output mode `"one_hot"` for `CategoryEncoding`, `StringLookup`, `IntegerLookup`, which will encode each element in an input batch individually, and automatically append a new output
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)