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RELEASE.md
for more details about DTensor. * `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.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_ArgMinOp : TF_Op<"ArgMin", [Pure]> { let summary = [{ Returns the index with the smallest value across dimensions of a tensor. }]; let description = [{ Note that in case of ties the identity of the return value is not guaranteed. Usage: ```python import tensorflow as tf a = [1, 10, 26.9, 2.8, 166.32, 62.3] b = tf.math.argmin(input = a) c = tf.keras.backend.eval(b)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)