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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
Assumes that all arguments of the function are Tensors which will be batched along their first dimension. Arguments that are captured, are not batched. The session.run call which does the concatenation, will use the values of the captured tensors available to it. Therefore, typical uses of captured tensors should involve values which remain unchanged across session.run calls. Inference is a good example of this.
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
decorator. * Added a `tf.keras.layers.experimental.preprocessing.HashedCrossing` layer which applies the hashing trick to the concatenation of crossed scalar inputs. This provides a stateless way to try adding feature crosses of integer or string data to a model. * Removed `keras.layers.experimental.preprocessing.CategoryCrossing`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)