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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let results = (outs); } def TF_LoadTPUEmbeddingStochasticGradientDescentParametersOp : TF_Op<"LoadTPUEmbeddingStochasticGradientDescentParameters", [TF_MustExecute, TF_TPUEmbeddingReadEffect]> { let summary = "Load SGD embedding parameters."; let description = [{ An op that loads optimization parameters into HBM for embedding. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up the correct
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
* Added `tf.keras.optimizers.experimental.Optimizer`. The reworked optimizer gives more control over different phases of optimizer calls, and is easier to customize. We provide Adam, SGD, Adadelta, AdaGrad and RMSprop optimizers based on `tf.keras.optimizers.experimental.Optimizer`. Generally the new optimizers work in the same way as the old ones, but support new
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)