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tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
int sample_size_minus_one = std::max(1, sample_size - 1); double factor = static_cast<double>(sample_size) / static_cast<double>(sample_size_minus_one); auto factor_const_op = rewriter.create<mhlo::ConstantOp>( op.getLoc(), rewriter.getFloatAttr(scale_element_type, factor)); Value corrected_variance = rewriter.create<chlo::BroadcastMulOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.27.md
`wait.NewExponentialBackoffManager` and `wait.NewJitteringBackoffManager` functions have been marked as deprecated. Callers should switch to using the `Backoff{...}.DelayWithReset(clock, resetInterval)` method and must set the `Steps` field when using `Factor`. As a short term change, callers may use the `Timer()` method on the `BackoffManager` until the backoff managers are deprecated and removed. Please see the godoc of the deprecated functions for examples of how to replace usage of this function. ...
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Tue Jun 11 23:01:06 UTC 2024 - 455.3K bytes - Viewed (0)