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Results 1 - 2 of 2 for reduce_max (0.11 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
values. ```python def stable_softmax(x): z = x - tf.reduce_max(x) numerator = tf.exp(z) denominator = tf.reduce_sum(numerator) return numerator / denominator ``` However, when we backprop through the softmax to x, we dont want to backprop through the `tf.reduce_max(x)` (if the max values are not unique then the
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.reduce_join`: `reduction_indices` becomes `axis` * `tf.reduce_logsumexp`: `reduction_indices` becomes `axis` * `tf.reduce_max`: `reduction_indices` becomes `axis` * `tf.reduce_mean`: `reduction_indices` becomes `axis` * `tf.reduce_min`: `reduction_indices` becomes `axis` * `tf.reduce_prod`: `reduction_indices` becomes `axis` * `tf.reduce_sum`: `reduction_indices`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)