About PyTorch execute failure: forward() is missing value for argument 'input'. error

[lincong8722]

When I start the model successfully, pytorch execute failure: forward() is missing value for argument 'input' appears in the test phase of the client. The following is my esemble model. How can I solve it?

Traceback (most recent call last):
File "test.py", line 151, in
responses.append(async_request.get_result())
File "/usr/local/lib/python3.8/dist-packages/tritonclient/http/init.py", line 1474, in get_result
_raise_if_error(response)
File "/usr/local/lib/python3.8/dist-packages/tritonclient/http/init.py", line 64, in _raise_if_error
raise error
tritonclient.utils.InferenceServerException: in ensemble 'pl_video_tag', PyTorch execute failure: forward() is missing value for argument 'input'. Declaration: forward(torch.multimodal.model.multimodal_transformer.___torch_mangle_9591.Multimodal self, Tensor image, Tensor input) -> ((Tensor, Tensor))
Exception raised from checkAndNormalizeInputs at /opt/pytorch/pytorch/aten/src/ATen/core/function_schema_inl.h:234 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits, std::allocator >) + 0x6c (0x7fdd8470c63c in /opt/tritonserver/backends/pytorch/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__cxx11::basic_string<char, std::char_traits, std::allocator > const&) + 0xfa (0x7fdd846d7a28 in /opt/tritonserver/backends/pytorch/libc10.so)
frame #2: + 0x12401ed (0x7fdd474a01ed in /opt/tritonserver/backends/pytorch/libtorch_cpu.so)
frame #3: torch::jit::GraphFunction::operator()(std::vector<c10::IValue, std::allocatorc10::IValue >, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, c10::IValue, std::hash<std::__cxx11::basic_string<char, std::char_traits, std::allocator > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits, std::allocator > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits, std::allocator > const, c10::IValue> > > const&) + 0x31 (0x7fdd4a04d791 in /opt/tritonserver/backends/pytorch/libtorch_cpu.so)
frame #4: torch::jit::Method::operator()(std::vector<c10::IValue, std::allocatorc10::IValue >, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, c10::IValue, std::hash<std::__cxx11::basic_string<char, std::char_traits, std::allocator > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits, std::allocator > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits, std::allocator > const, c10::IValue> > > const&) + 0x168 (0x7fdd4a060538 in /opt/tritonserver/backends/pytorch/libtorch_cpu.so)
frame #5: + 0x18ad8 (0x7fdd84ffcad8 in /opt/tritonserver/backends/pytorch/libtriton_pytorch.so)
frame #6: + 0x1efd2 (0x7fdd85002fd2 in /opt/tritonserver/backends/pytorch/libtriton_pytorch.so)
frame #7: TRITONBACKEND_ModelInstanceExecute + 0x38a (0x7fdd8500466a in /opt/tritonserver/backends/pytorch/libtriton_pytorch.so)
frame #8: + 0x30c859 (0x7fddc48c7859 in /opt/tritonserver/bin/../lib/libtritonserver.so)
frame #9: + 0x109ec0 (0x7fddc46c4ec0 in /opt/tritonserver/bin/../lib/libtritonserver.so)
frame #10: + 0xd6de4 (0x7fddc4110de4 in /lib/x86_64-linux-gnu/libstdc++.so.6)
frame #11: + 0x9609 (0x7fddc458e609 in /lib/x86_64-linux-gnu/libpthread.so.0)
frame #12: clone + 0x43 (0x7fddc3dfe293 in /lib/x86_64-linux-gnu/libc.so.6)

——————————————————————————————————————————————————

name: "pl_video_tag"
platform: "ensemble"
max_batch_size: 128

input [
    {
        name: "IMAGE"
        data_type: TYPE_UINT8
        dims: [-1]
    }
]

output [
  {
    name: "postp_output0"
    data_type: TYPE_STRING
    dims: [-1]
  }
]

ensemble_scheduling {
    step [
        {
            model_name: "pl_video_tag_prep"
            model_version: -1
            input_map {
                key: "prep_input0"
                value: "IMAGE"
            }
            output_map {
                key: "prep_output0"
                value: "prep_output0"
            }
        },
        {
            model_name: "pl_video_tag_ml"
            model_version: -1
            input_map {
                key: "ml_input__0"
                value: "prep_output0"
            }
            output_map {
                key: "ml_output__0"
                value: "ml_output__0"
            }
        },
        {
            model_name: "pl_video_tag_postp"
            model_version: -1
            input_map {
                key: "postp_input0"
                value: "ml_output__0"
            }
            output_map {
                key: "postp_output0"
                value: "postp_output0"
            }
        }
    ]
}

[CoderHam]

@lincong8722 it looks like the pytorch model expects 2 inputs but only 1 is given. Can you share the model config for the pytorch torchscript model?

[lincong8722]

@CoderHam Hello,My .pt model prints like this:

RecursiveScriptModule(
  original_name=Multimodal
  (visual): RecursiveScriptModule(
    original_name=VisualTransformer
    (conv1): RecursiveScriptModule(original_name=Conv2d)
    (ln_pre): RecursiveScriptModule(original_name=LayerNorm)
    (transformer): RecursiveScriptModule(
      original_name=Transformer
      (resblocks): RecursiveScriptModule(
        original_name=Sequential
        (0): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (1): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (2): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (3): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (4): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (5): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (6): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (7): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (8): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (9): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (10): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
        (11): RecursiveScriptModule(
          original_name=ResidualAttentionBlock
          (attn): RecursiveScriptModule(
            original_name=MultiheadAttention
            (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
          )
          (ln_1): RecursiveScriptModule(original_name=LayerNorm)
          (mlp): RecursiveScriptModule(
            original_name=Sequential
            (c_fc): RecursiveScriptModule(original_name=Linear)
            (gelu): RecursiveScriptModule(original_name=QuickGELU)
            (c_proj): RecursiveScriptModule(original_name=Linear)
          )
          (ln_2): RecursiveScriptModule(original_name=LayerNorm)
        )
      )
    )
    (ln_post): RecursiveScriptModule(original_name=LayerNorm)
  )
  (transformer): RecursiveScriptModule(
    original_name=Transformer
    (resblocks): RecursiveScriptModule(
      original_name=Sequential
      (0): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (1): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (2): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (3): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (4): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (5): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (6): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (7): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (8): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (9): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (10): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
      (11): RecursiveScriptModule(
        original_name=ResidualAttentionBlock
        (attn): RecursiveScriptModule(
          original_name=MultiheadAttention
          (out_proj): RecursiveScriptModule(original_name=_LinearWithBias)
        )
        (ln_1): RecursiveScriptModule(original_name=LayerNorm)
        (mlp): RecursiveScriptModule(
          original_name=Sequential
          (c_fc): RecursiveScriptModule(original_name=Linear)
          (gelu): RecursiveScriptModule(original_name=QuickGELU)
          (c_proj): RecursiveScriptModule(original_name=Linear)
        )
        (ln_2): RecursiveScriptModule(original_name=LayerNorm)
      )
    )
  )
  (token_embedding): RecursiveScriptModule(original_name=Embedding)
  (ln_final): RecursiveScriptModule(original_name=LayerNorm)
)

[lincong8722]

@CoderHam I print model.code

model: def forward(self,
    image: Tensor,
    input: Tensor) -> Tuple[Tensor, Tensor]:
  _0 = self.logit_scale
  _1 = self.text_projection
  _2 = self.ln_final
  _3 = self.transformer
  _4 = self.positional_embedding
  _5 = self.token_embedding
  _6 = self.visual
  input0 = torch.to(image, torch.device("cuda:0"), 5, False, False, None)
  _7 = (_6).forward1(input0, )
  x = torch.to((_5).forward1(input, ), torch.device("cuda:0"), 5, False, False, None)
  _8 = torch.to(_4, torch.device("cuda:0"), 5, False, False, None)
  x4 = torch.add(x, _8, alpha=1)
  x5 = torch.permute(x4, [1, 0, 2])
  x6 = torch.permute((_3).forward1(x5, ), [1, 0, 2])
  x7 = torch.to((_2).forward1(x6, ), torch.device("cuda:0"), 5, False, False, None)
  _9 = ops.prim.NumToTensor(torch.size(x7, 0))
  _10 = torch.arange(annotate(number, _9), dtype=None, layout=0, device=torch.device("cpu"), pin_memory=False)
  _11 = torch.argmax(input, -1, False)
  _12 = torch.to(_10, dtype=4, layout=0, device=torch.device("cuda:0"), pin_memory=None, non_blocking=False, copy=False, memory_format=None)
  _13 = torch.to(_11, dtype=4, layout=0, device=torch.device("cuda:0"), pin_memory=None, non_blocking=False, copy=False, memory_format=None)
  _14 = annotate(List[Optional[Tensor]], [_12, _13])
  input1 = torch.matmul(torch.index(x7, _14), _1)
  image_features = torch.div(_7, torch.frobenius_norm(_7, [-1], True))
  _15 = torch.frobenius_norm(input1, [-1], True)
  text_features = torch.div(input1, _15)
  logit_scale = torch.exp(_0)
  _16 = torch.mul(logit_scale, image_features)
  _17 = torch.matmul(_16, torch.t(text_features))
  _18 = torch.matmul(torch.mul(logit_scale, text_features), torch.t(image_features))
  return (_17, _18)

There are two inputs when the model is deployed

    def forward(self, image, text):
        image_features = self.encode_image(image)
        text_features = self.encode_text(text)

This model does have two inputs，But I only have one parameter for the input model on the model inference，not use text_features,like this

      with torch.no_grad():
        image_features = self.model.encode_image(image)

What should I do?

[CoderHam]

@lincong8722 you should reach out to the people who created the model as they will be able to best explain the same. This is not a Triton issue but rather a pytorch framework issue. Closing this ticket as such.