masahi commented on a change in pull request #4418: [RUNTIME] Add cudnn conv3d
URL: https://github.com/apache/incubator-tvm/pull/4418#discussion_r350001983
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File path: tests/python/contrib/test_cudnn.py
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@@ -72,6 +72,67 @@ def verify():
verify()
+def test_conv3d():
+ in_channel = 3
+ out_channel = 32
+ filter_d = 3
+ filter_h = 3
+ filter_w = 3
+ pad_d = 1
+ pad_h = 1
+ pad_w = 1
+ stride_d = 1
+ stride_h = 1
+ stride_w = 1
+ dilation_d = 1
+ dilation_h = 1
+ dilation_w = 1
+
+ xshape = [4, 3, 32, 32, 32]
+ if not tvm.module.enabled("cuda"):
+ print("skip because cuda is not enabled...")
+ return
+ if not tvm.get_global_func("tvm.contrib.cudnn.conv3d.output_shape", True):
+ print("skip because cudnn is not enabled...")
+ return
+ wshape = cudnn.conv3d_w_shape(in_channel,
+ out_channel,
+ filter_d,
+ filter_h,
+ filter_w)
+
+ X = tvm.placeholder(xshape, name='X')
+ W = tvm.placeholder(wshape, name='W')
+ Y = cudnn.conv3d_forward(X,
+ W,
+ stride_d,
+ stride_h,
+ stride_w,
+ pad_d,
+ pad_h,
+ pad_w,
+ dilation_d,
+ dilation_h,
+ dilation_w,
+ conv_mode=1,
+ tensor_format=0,
+ algo=-1)
+ yshape = [x.value for x in Y.shape]
+ s = tvm.create_schedule(Y.op)
+
+ def verify():
Review comment:
Similarly, use conv3d_ncdhw_python that you already have in your earlier PR
to verify the output.
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