Slow Conv2ds

gistfile1.txt

  %1310 = /* ty=Tensor[(100, 2048, 33, 33), float32] */;  
  %1311 = nn.conv2d(%1310, meta[relay.Constant][139] /* ty=Tensor[(256, 2048, 3, 3), float32] */, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1312 = add(%1311, meta[relay.Constant][140] /* ty=Tensor[(1, 256, 1, 1), float32] */) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1313 = nn.relu(%1312) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1314 = nn.conv2d(%1313, meta[relay.Constant][141] /* ty=Tensor[(256, 256, 3, 3), float32] */, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1315 = add(%1314, meta[relay.Constant][142] /* ty=Tensor[(1, 256, 1, 1), float32] */) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1316 = nn.relu(%1315) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1317 = nn.conv2d(%1316, meta[relay.Constant][143] /* ty=Tensor[(256, 256, 3, 3), float32] */, padding=[1, 1, 1, 1], channels=256, kernel_size=[3, 3]) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1318 = add(%1317, meta[relay.Constant][144] /* ty=Tensor[(1, 256, 1, 1), float32] */) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1319 = nn.relu(%1318) /* ty=Tensor[(100, 256, 33, 33), float32] */;
  %1320 = nn.conv2d(%1319, meta[relay.Constant][145] /* ty=Tensor[(90, 256, 3, 3), float32] */, padding=[1, 1, 1, 1], channels=90, kernel_size=[3, 3]) /* ty=Tensor[(100, 90, 33, 33), float32] */;
  %1321 = add(%1320, meta[relay.Constant][146] /* ty=Tensor[(1, 90, 1, 1), float32] */) /* ty=Tensor[(100, 90, 33, 33), float32] */;