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RELEASE.md
* `tf.data.experimental.service.register_dataset` now accepts optional `compression` argument. * Keras: * `tf.keras.layers.Conv` now includes a public `convolution_op` method. This method can be used to simplify the implementation of Conv subclasses. There are two primary ways to use this new method. The first is to use the method directly in your own `call` method: `python class
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
used for communication with all hosts.}]>:$network_configs ); let results = (outs); TF_DerivedOperandSizeAttr N = TF_DerivedOperandSizeAttr<0>; } def TF_ConvOp : TF_Op<"Conv", [Pure]> { let summary = [{ Computes a N-D convolution given (N+1+batch_dims)-D `input` and (N+2)-D `filter` tensors. }]; let description = [{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)