Class <org.gradle.nativeplatform.platform.internal.Architectures$KnownArchitecture> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Architectures.java:0)
Class <org.gradle.nativeplatform.platform.internal.Architectures> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Architectures.java:0)

    * Discussion for these changes can be found on SIG Build's [TensorFlow Community Forum thread](https://discuss.tensorflow.org/t/tensorflow-linux-wheels-are-bein...

  amd64 binary instead of the go-runner that matches that architecture.
  
  This commit explicitly sets the '--platform=linux/${arch}' to ensure
  we're pulling the correct go-runner arch from the manifest list.
  
  Before:
  `FROM ${base_image}`
  
  After:

            resourceFieldRef:
              resource: limits.memory
        - name: GOMAXPROCS
          valueFrom:
            resourceFieldRef:
              resource: limits.cpu
        - name: PLATFORM
          value: ""
        image: gcr.io/istio-testing/pilot:latest
        name: discovery
        ports:
        - containerPort: 8080
          protocol: TCP
        - containerPort: 15010

`SparseTensor`s.  This op is optimized for the case where at least one of "a" or
"b" is sparse, in the sense that they have a large proportion of zero values.
The breakeven for using this versus a dense matrix multiply on one platform was
30% zero values in the sparse matrix.

The gradient computation of this operation will only take advantage of sparsity
in the input gradient when that gradient comes from a Relu.
  }];

            "type": "string"
          }
        },
        "required": [