Class <org.gradle.api.internal.artifacts.verification.model.ArtifactVerificationMetadata> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (ArtifactVerificationMetadata.java:0)
Class <org.gradle.api.internal.artifacts.verification.model.Checksum> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (Checksum.java:0)

        the `run_eagerly` property, and will correctly run using `tf.function`
        by default. Note that `Model.fit_generator`, `Model.evaluate_generator`,
        and `Model.predict_generator` are deprecated endpoints. They are
        subsumed by `Model.fit`, `Model.evaluate`, and `Model.predict` which now
        support generators and Sequences.
*   `tf.lite`
    *   Legalization for `NMS` ops in TFLite.

              }
            ],
            "description": "NamedResources describes the allocation result when using the named resources model."
          },
          "vendorRequestParameters": {
            "allOf": [
              {
                "$ref": "#/components/schemas/io.k8s.apimachinery.pkg.runtime.RawExtension"
              }

one Tensor of activations per table specified in the model. There can be at
most one RecvTPUEmbeddingActivations op in the TPU graph.
  }];

  let arguments = (ins
    StrAttr:$config
  );

  let results = (outs
    Res<Variadic<TF_Float32Tensor>, [{A TensorList of embedding activations containing one Tensor per
embedding table in the model.}]>:$outputs
  );

		{"CMYKToRGB", Func, 5},
		{"Color", Type, 0},
		{"Gray", Type, 0},
		{"Gray.Y", Field, 0},
		{"Gray16", Type, 0},
		{"Gray16.Y", Field, 0},
		{"Gray16Model", Var, 0},
		{"GrayModel", Var, 0},
		{"Model", Type, 0},
		{"ModelFunc", Func, 0},
		{"NRGBA", Type, 0},
		{"NRGBA.A", Field, 0},
		{"NRGBA.B", Field, 0},
		{"NRGBA.G", Field, 0},
		{"NRGBA.R", Field, 0},
		{"NRGBA64", Type, 0},