%filter: tensor<7x7x3x64xf32>) {
     %filter_transform = "tf.Pad/tf.Transpose/tf.Reshape"(%filter):
       tensor<7x7x3x64xf32>) -> tensor<4x4x12x64xf32>
     %conv = "tf.Conv2D"(%input, %filter_transform) {strides = [1, 1, 1, 1]}:
       (tensor<2x112x112x12xf32>, tensor<4x4x12x64xf32>) ->
       tensor<2x112x112x64xf32>
   }
}
```

### SpaceToDepth Trigger Condition

    %5 = "tf.Pad"(%arg0, %3) : (tensor<2x224x224x3xf32>, tensor<4x2xi32>) -> tensor<2x230x230x3xf32>
    // CHECK: "tf.Conv2D"
    // CHECK-SAME: strides = [1, 1, 1, 1]
    // CHECK-SAME: (tensor<2x115x115x12xf32>, tensor<4x4x12x64xf32>) -> tensor<2x112x112x64xf32>

        %filter_transform = "tf.Pad/tf.Transpose/tf.Reshape"(%filter): tensor<7x7x3x64xf32>) -> tensor<4x4x12x64xf32>
        %conv = "tf.Conv2D"(%input, %filter_transfrom) {strides = [1, 1, 1, 1]}: (tensor<2x112x112x12xf32>, tensor<4x4x12x64xf32>) -> tensor<2x112x112x64xf32>
      }
    }
    ```

    This way, the first convolution with 3 feature dimension will be transformed

    %filter_transform = "tf.Pad/tf.Transpose/tf.Reshape"(%filter): tensor<7x7x3x64xf32>) -> tensor<4x4x12x64xf32>
    %conv = "tf.Conv2D"(%input, %filter_transfrom) {strides = [1, 1, 1, 1]}: (tensor<2x112x112x12xf32>, tensor<4x4x12x64xf32>) -> tensor<2x112x112x64xf32>
  }
}
```

This way, the first convolution with 3 feature dimension will be transformed