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RELEASE.md
* RNG behavior change for `tf.keras.initializers`. Keras initializers will now use stateless random ops to generate random numbers. * Both seeded and unseeded initializers will always generate the same values every time they are called (for a given variable shape). For unseeded initializers (`seed=None`), a random seed will be created and assigned at initializer creation (different initializer instances get
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_InitializeTableOp : TF_Op<"InitializeTable", []> { let summary = [{ Table initializer that takes two tensors for keys and values respectively. }]; let arguments = (ins Arg<TF_StrTensor, [{Handle to a table which will be initialized.}], [TF_LookupTableWrite]>:$table_handle, Arg<TF_Tensor, [{Keys of type Tkey.}]>:$keys,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)