Yasir Modak, Yong Tang, Yongfeng Gu, Yuchen Ying, Yuxin Wu, zyeric, 王振华 (Zhenhua
Wang)

# Release 2.0.0

## Major Features and Improvements

TensorFlow 2.0 focuses on **simplicity** and **ease of use**, featuring updates
like:

*   Easy model building with Keras and eager execution.
*   Robust model deployment in production on any platform.
*   Powerful experimentation for research.

          "fsType": {
            "description": "fsType is the filesystem type of the volume that you want to mount. Tip: Ensure that the filesystem type is supported by the host operating system. Examples: \"ext4\", \"xfs\", \"ntfs\". Implicitly inferred to be \"ext4\" if unspecified. More info: https://kubernetes.io/docs/concepts/storage/volumes#awselasticblockstore",
            "type": "string"
          },
          "partition": {

		{"(*Interface).EmbeddedType", Method, 11},
		{"(*Interface).Empty", Method, 5},
		{"(*Interface).ExplicitMethod", Method, 5},
		{"(*Interface).IsComparable", Method, 18},
		{"(*Interface).IsImplicit", Method, 18},
		{"(*Interface).IsMethodSet", Method, 18},
		{"(*Interface).MarkImplicit", Method, 18},
		{"(*Interface).Method", Method, 5},
		{"(*Interface).NumEmbeddeds", Method, 5},

	tests := []struct {
		mount       core.VolumeMount
		container   *core.Container
		expectError bool
	}{{
		// implicitly non-privileged container + no propagation
		core.VolumeMount{Name: "foo", MountPath: "/foo"},
		defaultContainer,
		false,
	}, {
		// implicitly non-privileged container + HostToContainer
		core.VolumeMount{Name: "foo", MountPath: "/foo", MountPropagation: &propagationHostToContainer},

Comparison with `numpy.einsum`:

 * This Op only supports unary and binary forms of `numpy.einsum`.
 * This Op does not support implicit form. (i.e. equations without `->`).
 * This Op also supports repeated indices in the output subscript, which is not
   supported by `numpy.einsum`.
@end_compatibility
  }];

  let arguments = (ins