}
	}
	lockInit(&pp.timers.mu, lockRankTimers)

	// This P may get timers when it starts running. Set the mask here
	// since the P may not go through pidleget (notably P 0 on startup).
	timerpMask.set(id)
	// Similarly, we may not go through pidleget before this P starts
	// running if it is P 0 on startup.
	idlepMask.clear(id)
}

	R_X86_64_COPY            R_X86_64 = 5  /* Copy data from shared object. */
	R_X86_64_GLOB_DAT        R_X86_64 = 6  /* Set GOT entry to data address. */
	R_X86_64_JMP_SLOT        R_X86_64 = 7  /* Set GOT entry to code address. */
	R_X86_64_RELATIVE        R_X86_64 = 8  /* Add load address of shared object. */
	R_X86_64_GOTPCREL        R_X86_64 = 9  /* Add 32 bit signed pcrel offset to GOT. */

        return mlir::UnrankedTensorType::get(
            mlir::TF::ResourceType::get(builder.getContext()));
      }
    } else if (auto shape = node.attrs().Find("_output_shapes")) {
      if (shape->has_list() && shape->list().shape_size() == 1) {
        return ConvertToMlirTensorType(shape->list().shape().at(0), dtype,
                                       &builder);
      }
    }
  }

			}
			err = a.Actor.Act(b, ctx, a)
			span.Done()
		}
		if a.json != nil {
			a.json.TimeDone = time.Now()
		}

		// The actions run in parallel but all the updates to the
		// shared work state are serialized through b.exec.
		b.exec.Lock()
		defer b.exec.Unlock()

		if err != nil {
			if b.AllowErrors && a.Package != nil {
				if a.Package.Error == nil {

	quarkus/test-framework/junit5-internal/pom.xml
quarkus/integration-tests/reactive-messaging-kafka/pom.xml
	quarkus/integration-tests/class-transformer/runtime/pom.xml
	quarkus/integration-tests/shared-library/pom.xml
	quarkus/extensions/redis-client/runtime/pom.xml
	quarkus/extensions/resteasy-classic/resteasy/runtime/pom.xml
	quarkus/extensions/resteasy-classic/resteasy-jackson/runtime/pom.xml

secrets and access should be separated from the control plane. ```console helm install -n istio-system istio-egress manifests/charts/gateways/istio-egress --set global.jwtPolicy=first-party-jwt ``` manifests/charts/UPDATING-CHARTS.md # Updating charts and values.yaml ## Acceptable Pull Requests Helm charts `values.yaml` represent a complex user facing API that tends to grow uncontrollably over time due to design choices in Helm. The underlying Kubernetes resources we configure have 1000s of fields;...

  let options = [
    Option<"max_iterations_", "max-iterations", "int64_t", /*default=*/"10",
           "Maximum shape inference iterations">,
    Option<"input_arg_shapes_", "input-arg-shapes", "std::string", /*default=*/"",
           "Input tensor shapes. Shapes for different tensors are separated by ':', and dimension sizes for the same tensor are separated by ','">,
  ];
}

element. For example, if you have a single image of shape `[height, width,
channels]`, you can make it a batch of 1 image with `expand_dims(image, 0)`,
which will make the shape `[1, height, width, channels]`.

Other examples:

```
# 't' is a tensor of shape [2]
shape(expand_dims(t, 0)) ==> [1, 2]
shape(expand_dims(t, 1)) ==> [2, 1]
shape(expand_dims(t, -1)) ==> [2, 1]

    # Checks that each variable's name and shape match.
    self.assertEqual(len(variable_node_defs), len(var_name_and_shapes))
    for var_name, shape in var_name_and_shapes:
      self.assertIn(var_name, variable_node_defs)
      self.assertEqual(
          shape,
          tensor_shape.TensorShape(
              variable_node_defs[var_name].attr['shape'].shape
          ),
      )

}

// This assumes that the bias is of shape NxCx1x1 and doesn't require transpose
// Its corresponding constraint is optimize_patterns.td:IsBiasShape()
ElementsAttr ReshapeNCHWBiasToNHWC(Value v, Attribute a) {
  auto elements = mlir::cast<DenseElementsAttr>(a);
  auto shape = mlir::cast<ShapedType>(v.getType()).getShape();
  if (shape.size() != 4 || shape[2] != 1 || shape[3] != 1) return elements;