}

func.func @matmul_transposed_a(%arg0: tensor<37x40xf32>, %arg1: tensor<37x40xf32>) -> tensor<40x40xf32> {
  %0 = "tf.MatMul"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", device = "/device:CPU:0", name = "MatMul", transpose_a = true, transpose_b = false} :
(tensor<37x40xf32>, tensor<37x40xf32>) -> tensor<40x40xf32>
  func.return %0 : tensor<40x40xf32>
// CHECK-LABEL: matmul_transposed_a

}

// -----

func.func @fully_connected_no_bias(%arg0: tensor<2x2x10xf32>, %arg1: tensor<40x40xf32>, %arg2: none) -> tensor<1x40xf32> {
  %0 = "tfl.fully_connected"(%arg0, %arg1, %arg2) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<2x2x10xf32>, tensor<40x40xf32>, none) -> tensor<1x40xf32>
  func.return %0 : tensor<1x40xf32>
}

// -----