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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_EluOp : TF_Op<"Elu", [Pure, TF_SameOperandsAndResultTypeResolveRef]> { let summary = "Computes the exponential linear function."; let description = [{ The ELU function is defined as: * $ e ^ x - 1 $ if $ x < 0 $ * $ x $ if $ x >= 0 $ Examples: >>> tf.nn.elu(1.0) <tf.Tensor: shape=(), dtype=float32, numpy=1.0> >>> tf.nn.elu(0.0)
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
* `tf.lite`: * Added TFLite builtin op support for the following TF ops: * `tf.math.argmin`/`tf.math.argmax` for input data type `tf.bool` on CPU. * `tf.nn.gelu` op for output data type `tf.float32` and quantization on CPU. * Add nominal support for unsigned 16-bit integer tensor types. Note that
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)