jwfromm commented on a change in pull request #5284: [Topi] Tensorcore support
for Conv3D
URL: https://github.com/apache/incubator-tvm/pull/5284#discussion_r406608704
##########
File path: python/tvm/relay/op/strategy/cuda.py
##########
@@ -268,11 +268,24 @@ def conv3d_strategy_cuda(attrs, inputs, out_type,
target):
wrap_topi_schedule(topi.cuda.schedule_conv3d_ncdhw_winograd),
name="conv3d_ncdhw_winograd.cuda",
plevel=5)
- else: # layout == "NDHWC":
-
strategy.add_implementation(wrap_compute_conv3d(topi.cuda.conv3d_ndhwc),
-
wrap_topi_schedule(topi.cuda.schedule_conv3d_ndhwc),
- name="conv3d_ndhwc.cuda",
- plevel=10)
+ else: # layout == "NDHWC":
+ strategy.add_implementation(
+ wrap_compute_conv3d(topi.cuda.conv3d_ndhwc),
+ wrap_topi_schedule(topi.cuda.schedule_conv3d_ndhwc),
+ name="conv3d_ndhwc.cuda",
+ plevel=10)
+ N, _, _, _, _ = get_const_tuple(data.shape)
+ _, _, _, CI, CO = get_const_tuple(kernel.shape)
+ if nvcc.have_tensorcore(tvm.gpu(0).compute_version):
Review comment:
Added check for cuda to both conv2d and conv3d strategy call.
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