   filter: Tensor<T>,
   outBackprop: Tensor<T>,
   strides: [Int32],
-  padding: Padding
+  padding: Padding,
+  dilations: [Int32] = [1, 1, 1, 1, 1]
 ) -> Tensor<T> {
   return #tfop("Conv3DBackpropFilter",
     input,

    lr,
    grad,
    T: T.self,
    use_locking: useLocking)
}

/// Update '*var' according to the proximal adagrad scheme.

    outBackprop,
    T: T.self,
    strides: strides,
    padding: padding.rawValue,
    dilations: dilations)
}

/// Computes the gradients of 3-D convolution with respect to the input.
