icemelon9 commented on a change in pull request #4644: [Relay][AutoTVM] Relay
op strategy
URL: https://github.com/apache/incubator-tvm/pull/4644#discussion_r380302988
##########
File path: topi/python/topi/cuda/conv3d.py
##########
@@ -126,24 +78,55 @@ def schedule_conv3d_ncdhw_cuda(cfg, outs):
s: Schedule
The computation schedule for conv2d.
"""
- target = tvm.target.Target.current()
- if 'cudnn' in target.libs:
- return generic.schedule_extern(outs)
-
outs = [outs] if isinstance(outs, tvm.tensor.Tensor) else outs
s = tvm.create_schedule([x.op for x in outs])
def _callback(op):
if op.tag == 'conv3d_ncdhw':
- schedule_direct_3d_cuda(cfg, s, op.output(0))
+ schedule_direct_conv3d_cuda(cfg, s, op.output(0), "NCDHW",
+ "conv3d_ncdhw.cuda")
traverse_inline(s, outs[0].op, _callback)
return s
[email protected]_topi_schedule(generic.schedule_conv3d_ndhwc, ["cuda", "gpu"],
- ["direct"])
-def schedule_conv3d_ndhwc_cuda(cfg, outs):
[email protected]_topi_compute("conv3d_ndhwc.cuda")
+def conv3d_ndhwc(cfg, data, kernel, strides, padding, dilation,
out_dtype='float32'):
+ """Conv3D operator for cuda backend.
+
+ Parameters
+ ----------
+ cfg: ConfigEntity
+ The config for this template
+
+ data : tvm.Tensor
+ 5-D with shape [batch, in_channel, in_depth, in_height, in_width]
Review comment:
fixed.
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