or remote devices. This avoids any redundant copies due to op execution.
    *   For `tf.Tensor` & `tf.Variable`, `.experimental_ref()` is no longer
        experimental and is available as simply `.ref()`.
    *   `pfor/vectorized_map`: Added support for vectorizing 56 more ops.
        Vectorizing `tf.cond` is also supported now.
    *   Set as much partial shape as we can infer statically within the gradient
        impl of the gather op.

		{"NT_PRSTATUS", Const, 0},
		{"NType", Type, 0},
		{"NewFile", Func, 0},
		{"OSABI", Type, 0},
		{"Open", Func, 0},
		{"PF_MASKOS", Const, 0},
		{"PF_MASKPROC", Const, 0},
		{"PF_R", Const, 0},
		{"PF_W", Const, 0},
		{"PF_X", Const, 0},
		{"PT_AARCH64_ARCHEXT", Const, 16},
		{"PT_AARCH64_UNWIND", Const, 16},
		{"PT_ARM_ARCHEXT", Const, 16},
		{"PT_ARM_EXIDX", Const, 16},