Open 3togo opened 1 year ago
I got the following errors when tracing "dpt_beit_large_384.pt".
Any help?
Traceback (most recent call last): File "/work/gitee/MiDaS-cpp/python/export_model.py", line 162, in <module> convert(in_model_type, in_model_path, out_model_path) File "/work/gitee/MiDaS-cpp/python/export_model.py", line 84, in convert sm = torch.jit.trace(model, sample, strict=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/eli/.local/lib/python3.11/site-packages/torch/jit/_trace.py", line 794, in trace return trace_module( ^^^^^^^^^^^^^ File "/home/eli/.local/lib/python3.11/site-packages/torch/jit/_trace.py", line 1084, in trace_module _check_trace( File "/home/eli/.local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/home/eli/.local/lib/python3.11/site-packages/torch/jit/_trace.py", line 562, in _check_trace raise TracingCheckError(*diag_info) torch.jit._trace.TracingCheckError: Tracing failed sanity checks! ERROR: Graphs differed across invocations! Graph diff: graph(%self.1 : __torch__.midas.dpt_depth.DPTDepthModel, %x.1 : Tensor): %scratch : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %output_conv : __torch__.torch.nn.modules.container.Sequential = prim::GetAttr[name="output_conv"](%scratch) %scratch.15 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %refinenet1 : __torch__.midas.blocks.FeatureFusionBlock_custom = prim::GetAttr[name="refinenet1"](%scratch.15) %scratch.13 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %refinenet2 : __torch__.midas.blocks.FeatureFusionBlock_custom = prim::GetAttr[name="refinenet2"](%scratch.13) %scratch.11 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %refinenet3 : __torch__.midas.blocks.FeatureFusionBlock_custom = prim::GetAttr[name="refinenet3"](%scratch.11) %scratch.9 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %refinenet4 : __torch__.midas.blocks.FeatureFusionBlock_custom = prim::GetAttr[name="refinenet4"](%scratch.9) %scratch.7 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %layer4_rn : __torch__.torch.nn.modules.conv.Conv2d = prim::GetAttr[name="layer4_rn"](%scratch.7) %scratch.5 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %layer3_rn : __torch__.torch.nn.modules.conv.Conv2d = prim::GetAttr[name="layer3_rn"](%scratch.5) %scratch.3 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %layer2_rn : __torch__.torch.nn.modules.conv.Conv2d = prim::GetAttr[name="layer2_rn"](%scratch.3) %scratch.1 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="scratch"](%self.1) %layer1_rn : __torch__.torch.nn.modules.conv.Conv2d = prim::GetAttr[name="layer1_rn"](%scratch.1) %pretrained : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="pretrained"](%self.1) %act_postprocess4 : __torch__.torch.nn.modules.container.Sequential = prim::GetAttr[name="act_postprocess4"](%pretrained) %_4.7 : __torch__.torch.nn.modules.conv.Conv2d = prim::GetAttr[name="4"](%act_postprocess4) %pretrained.83 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="pretrained"](%self.1) %act_postprocess4.5 : __torch__.torch.nn.modules.container.Sequential = prim::GetAttr[name="act_postprocess4"](%pretrained.83) %_3.9 : __torch__.torch.nn.modules.conv.Conv2d = prim::GetAttr[name="3"](%act_postprocess4.5) %pretrained.81 : __torch__.torch.nn.modules.module.Module = prim::GetAttr[name="pretrained"](%self.1) %act_postprocess3 : __torch__.torch.nn.modules.container.Sequential = prim::GetAttr[name="act_postprocess3"](%pretrained.81)
I got the following errors when tracing "dpt_beit_large_384.pt".
Any help?