Go: Update generated wrapper functions for TensorFlow ops.
PiperOrigin-RevId: 334024272 Change-Id: I7972ce2fc176edc787d73de720a3a2f0c88f72f4
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@ -20963,12 +20963,14 @@ func DivNoNan(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) {
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// scattered onto an existing tensor (as opposed to a zero-tensor). If the memory
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// for the existing tensor cannot be re-used, a copy is made and updated.
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//
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// If `indices` contains duplicates, then their updates are accumulated (summed).
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// If `indices` contains duplicates, then we pick the last update for the index.
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//
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// **WARNING**: The order in which updates are applied is nondeterministic, so the
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// output will be nondeterministic if `indices` contains duplicates -- because
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// of some numerical approximation issues, numbers summed in different order
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// may yield different results.
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// If an out of bound index is found, an error is returned.
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//
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// **WARNING**: There are some GPU specific semantics for this operation.
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// - If an out of bound index is found, the index is ignored.
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// - The order in which updates are applied is nondeterministic, so the output
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// will be nondeterministic if `indices` contains duplicates.
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//
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// `indices` is an integer tensor containing indices into a new tensor of shape
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// `shape`. The last dimension of `indices` can be at most the rank of `shape`:
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@ -21028,8 +21030,6 @@ func DivNoNan(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) {
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// [1 1 1 1]
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// [1 1 1 1]]]
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//
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// Note that on CPU, if an out of bound index is found, an error is returned.
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// On GPU, if an out of bound index is found, the index is ignored.
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//
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// Arguments:
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// tensor: Tensor to copy/update.
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