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[Relay][OpStrategy] Tweak cublas/cudnn priority level #5820

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merged 3 commits into from
Jun 16, 2020
Merged

[Relay][OpStrategy] Tweak cublas/cudnn priority level #5820

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fb49e38
Tweak cublas plevel
icemelon Jun 15, 2020
ed79536
update
icemelon Jun 15, 2020
de10b4d
trigger ci
icemelon Jun 16, 2020
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8 changes: 4 additions & 4 deletions python/tvm/relay/op/strategy/cuda.py
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Original file line number Diff line number Diff line change
Expand Up @@ -190,7 +190,7 @@ def conv2d_strategy_cuda(attrs, inputs, out_type, target):
has_groups=True),
wrap_topi_schedule(topi.cuda.schedule_conv2d_cudnn),
name="conv2d_cudnn.cuda",
plevel=15)
plevel=25)
elif is_depthwise_conv2d(data.shape, layout, kernel.shape, kernel_layout, groups):
if layout == "NCHW":
assert kernel_layout == "OIHW"
Expand Down Expand Up @@ -218,7 +218,7 @@ def conv2d_strategy_cuda(attrs, inputs, out_type, target):
has_groups=True),
wrap_topi_schedule(topi.cuda.schedule_conv2d_cudnn),
name="conv2d_cudnn.cuda",
plevel=15)
plevel=25)
cudnn_impl = True

if layout == 'NCHW':
Expand Down Expand Up @@ -377,7 +377,7 @@ def conv3d_strategy_cuda(attrs, inputs, out_type, target):
strategy.add_implementation(wrap_compute_conv3d(topi.cuda.conv3d_cudnn, True),
wrap_topi_schedule(topi.cuda.schedule_conv3d_cudnn),
name="conv3d_cudnn.cuda",
plevel=15)
plevel=25)
return strategy

@conv3d_winograd_without_weight_transfrom_strategy.register(["cuda", "gpu"])
Expand Down Expand Up @@ -473,7 +473,7 @@ def dense_strategy_cuda(attrs, inputs, out_type, target):
wrap_compute_dense(topi.cuda.dense_cublas),
wrap_topi_schedule(topi.cuda.schedule_dense_cublas),
name="dense_cublas.cuda",
plevel=15)
plevel=25)
return strategy

@batch_matmul_strategy.register(["cuda", "gpu"])
Expand Down