Remove dilation restriction for conv3d

src/operator/nn/convolution.cc

@@ -223,8 +223,6 @@ static bool ConvolutionShape(const nnvm::NodeAttrs& attrs,
  SHAPE_ASSIGN_CHECK(*in_shape, conv::kBias, Shape1(param_.num_filter));
  }
 
- // Note: 3D dilation currently not supported.
- // Calculations below done to preserve symmetry with 1D/2D code.
  const index_t dilated_ksize_d = param_.DilatedKernelSize(0);
  const index_t dilated_ksize_y = param_.DilatedKernelSize(1);
  const index_t dilated_ksize_x = param_.DilatedKernelSize(2);
@@ -239,8 +237,6 @@ static bool ConvolutionShape(const nnvm::NodeAttrs& attrs,
  << "incorrect stride size: " << param_.stride;
  CHECK_GT(param_.dilate.Size(), 0U) \
  << "incorrect dilate size: " << param_.dilate;
- CHECK_EQ(param_.dilate.Size(), 1U)
- << "Dilate is not supported in 3d convolution";
  Shape<5> oshape;
  oshape[0] = dshape[0];
  oshape[1] = param_.num_filter;

tests/python/unittest/test_operator.py

@@ -2600,6 +2600,10 @@ def test_convolution_dilated_impulse_response():
  for dil in [ (1,1), (2,2), (3,3) ]:
  for ks in [ (3,3), (4,4), (2,3), (3,2), (1,1) ]:
  test_run_convolution_dilated_impulse_response(dil=dil, kernel_shape=ks)
+ # 3D
+ for dil in [ (1,1,1), (2,2,2), (3,3,3) ]:
+ for ks in [ (3,3,3), (4,4,4), (2,3,4), (3,2,4), (1,1,1) ]:
+ test_run_convolution_dilated_impulse_response(dil=dil, kernel_shape=ks)
 
 
 @with_seed()