func.return %0, %1, %2 : tensor<2xi32>, tensor<2xf32>, tensor<i32>
}

// -----

func.func @fully_connected(%arg0: tensor<1x37xf32>, %arg1: tensor<40x37xf32>, %arg2: tensor<40xf32>) -> tensor<1x40xf32> {

// CHECK: %[[ARG:.*]] = "tfl.transpose"(%arg1, %[[CST]]) : (tensor<37x40xf32>, tensor<2xi32>) -> tensor<40x37xf32>
// CHECK: %[[CST_0:.*]] = "tfl.no_value"() <{value}> : () -> none
// CHECK: "tfl.fully_connected"(%arg0, %[[ARG]], %[[CST_0]]) <{fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"}> : (tensor<40x37xf32>, tensor<40x37xf32>, none) -> tensor<40x40xf32>
}

    std::vector<int> GetQuantizableOperandIndices() { return {1}; }
  }];
}

// TODO(jpienaar): Update post discussion on semantics of FC OP.
def TFL_FullyConnectedOp : TFL_Op<"fully_connected", [
    Pure, AccumulatorUniformScale<2, 0, 1>,
    AffineQuantizedOpInterface,
    AffineOpCoefficient<0, 1>,
    TFL_SparseOp,
    DeclareOpInterfaceMethods<TFL_ArithmeticCount>,
    QuantizableResult,

    modified to return nan when they have seen less or equal to 1 unit of
    weight.
*   Adds time series models to contrib. See contrib/timeseries/README.md for
    details.
*   Adds FULLY_CONNECTED Op to tensorflow/lite/schema.fbs

## Known Issues

*   Tensorflow_gpu compilation fails with Bazel 0.5.3.

## Bug Fixes and Other Changes