Public API for tf._api.v2.train.experimental namespace
Classes
class DynamicLossScale: Loss scale that dynamically adjusts itself.
class FixedLossScale: Loss scale with a fixed value.
class LossScale: Base class for all TF1 loss scales.
class MaxShardSizePolicy: Policy that splits tensors into shards with a max shard size.
class MixedPrecisionLossScaleOptimizer: An optimizer that applies loss scaling.
class PythonState: A mixin for putting Python state in an object-based checkpoint.
class ShardByTaskPolicy: Policy that splits tensors into shards based on their device spec task.
class ShardableTensor: Tensor wrapper containing data necessary for sharding.
class ShardingCallback: Checkpoint sharding callback function, along with a text description.
Functions
disable_mixed_precision_graph_rewrite(...): Disables the mixed precision graph rewrite.
enable_mixed_precision_graph_rewrite(...): Enable mixed precision via a graph rewrite.