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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
let summary = "Returns x + y element-wise."; let description = [{ *NOTE*: `Add` supports broadcasting. `AddN` does not. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html) Given two input tensors, the `tf.add` operation computes the sum for every element in the tensor. Both input and output have a range `(-inf, inf)`. }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
pkg/apis/core/validation/validation_test.go
pvCopy.Spec.CSI.ControllerPublishSecretRef = secret case "nodePublish": pvCopy.Spec.CSI.NodePublishSecretRef = secret case "nodeStage": pvCopy.Spec.CSI.NodeStageSecretRef = secret default: panic("unknown string") } return pvCopy } func pvcWithVolumeAttributesClassName(vacName *string) *core.PersistentVolumeClaim { return &core.PersistentVolumeClaim{
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 29 22:40:29 UTC 2024 - 857.7K bytes - Viewed (0)