names specified as strings (e.g. "Relu"). They are performed in order, where the
(first) input to each op is the output of the preceding op. The first input and
the output of each fused_op must be of type T.

Currently supported fused_op combinations are: [X] and [X,A], where X is one of
{"BiasAdd","FusedBatchNorm"} and A is one of {"Elu","Relu","Relu6"}.

    to matrix multiplication and convolution, these building blocks include:
    Direct batched convolution Pooling: maximum, minimum, average Normalization:
    LRN, batch normalization Activation: rectified linear unit (ReLU) Data
    manipulation: multi-dimensional transposition (conversion), split, concat,
    sum and scale.

*   TensorForest Estimator now supports SavedModel export for serving.

            "format": "int64",
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