record_forge_property = <function record_property.<locals>.append_property at 0x7f57fc2bc040>
variant = 'efficientnet_b0'

    @pytest.mark.nightly
    @pytest.mark.parametrize("variant", variants)
    def test_efficientnet_timm(record_forge_property, variant):
        if variant != "efficientnet_b0":
            pytest.skip("Skipping due to the current CI/CD pipeline limitations")
    
        # Build Module Name
        module_name = build_module_name(
            framework=Framework.PYTORCH,
            model="efficientnet",
            variant=variant,
            source=Source.TIMM,
            task=Task.IMAGE_CLASSIFICATION,
        )
    
        # Record Forge Property
        record_forge_property("model_name", module_name)
    
        # Load model
        framework_model = download_model(timm.create_model, variant, pretrained=True)
        framework_model.eval()
    
        # Load and pre-process image
        try:
            url, filename = (
                "https://github.com/pytorch/hub/raw/master/images/dog.jpg",
                "dog.jpg",
            )
            urllib.request.urlretrieve(url, filename)
            img = Image.open(filename).convert("RGB")
            config = resolve_data_config({}, model=framework_model)
            transform = create_transform(**config)
            img_tensor = transform(img).unsqueeze(0)
        except:
            logger.warning(
                "Failed to download the image file, replacing input with random tensor. Please check if the URL is up to date"
            )
            img_tensor = torch.rand(1, 3, 224, 224)
    
        inputs = [img_tensor]
    
        # Forge compile framework model
        compiled_model = forge.compile(framework_model, sample_inputs=inputs, module_name=module_name)
    
        # Model Verification
>       verify(inputs, framework_model, compiled_model)

forge/test/models/pytorch/vision/efficientnet/test_efficientnet.py:94: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/verify.py:333: in verify
    verify_cfg.value_checker.check(fw, co)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <forge.verify.value_checkers.AutomaticValueChecker object at 0x7f592339ca30>
fw_out = tensor([[ 1.15537e+00,  3.46253e-01, -2.96200e-01, -9.77006e-02, -5.03744e-02,  1.52954e-01,  4.54043e-01,  1.81957e+0...61e-01,  1.41518e-01,  2.03440e-01, -1.16179e+00, -9.32818e-02, -4.55225e-01,  7.32541e-01]], grad_fn=<AddmmBackward0>)
co_out = tensor([[ 6.17641e+04,  1.81373e+03, -4.66735e+04, -3.29411e+04,  1.13049e+04, -5.42191e+04,  1.99360e+04,  3.52980e+0...e+04, -6.64809e+02,  1.04495e+04, -5.13087e+04,  2.14887e+04,  8.58467e+03,  3.54663e+04, -8.58599e+03, -5.01632e+04]])

    def check(self, fw_out, co_out):
        if not compare_with_golden(fw_out, co_out, self.pcc, self.rtol, self.atol, self.dissimilarity_threshold):
>           raise ValueError(
                f"Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model={fw_out}, compiled_model={co_out}"
            )
E           ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[ 1.15537e+00,  3.46253e-01, -2.96200e-01, -9.77006e-02, -5.03744e-02,  1.52954e-01,  4.54043e-01,  1.81957e+00,  1.97648e+00, -5.07785e-01,  2.04878e-01, -1.44207e-01,  8.58753e-02,  1.53267e-01,  1.12640e-01, -1.32180e-01,  1.97844e-01, -1.77243e-01,  4.60768e-01, -5.33910e-01, -3.99291e-01, -8.10090e-01,
E                    -3.96948e-02,  5.07842e-01, -7.81550e-01,  1.82725e-01,  2.27558e-01,  4.80060e-01,  3.87760e-01,  8.75666e-01, -6.06582e-01,  6.68748e-01,  3.26606e-01, -5.67229e-01, -6.61569e-01, -4.22974e-01,  5.20107e-01,  8.09914e-02,  7.63711e-01,  3.92523e-01,  8.93254e-01,  4.86652e-01,  7.80960e-01, -4.04767e-01,
E                     5.58870e-01,  3.94732e-01,  7.98740e-01,  7.83566e-01, -8.74239e-01,  9.68797e-01,  8.84553e-01,  5.69718e-01,  3.94482e-01, -6.54069e-01,  1.38337e+00,  7.44256e-01, -1.36320e-01,  2.19993e-01, -3.08552e-01,  1.47807e+00,  9.15679e-01,  6.78781e-01,  9.46061e-01, -1.33241e+00,  8.37495e-01,  8.19695e-02,
E                    -2.34143e-01, -2.30163e-01,  6.06698e-01,  3.17489e-02, -8.51064e-02, -5.07890e-01,  8.35020e-01,  1.00031e+00,  2.84758e-03,  4.10040e-01, -8.48353e-01,  1.16156e-02,  4.73577e-01,  2.90222e-01, -5.40055e-01, -4.65030e-01,  1.05718e+00, -5.76128e-01,  5.35438e-01, -9.15372e-02, -2.70360e-01, -6.21239e-01,
E                    -3.62949e-01, -1.42010e-01, -1.30228e-02, -7.82389e-01, -3.76501e-01,  2.58659e-02,  3.76663e-01, -5.04529e-01,  2.13393e-01, -1.96709e-01, -8.01650e-01,  7.17261e-01,  2.70766e-01, -2.73826e-01,  9.18056e-01, -1.60021e-01,  3.61000e+00, -2.35273e-01, -9.35542e-01, -1.38638e+00, -8.18592e-01, -9.87556e-01,
E                    -8.07715e-01, -3.32591e-01,  6.00716e-01, -1.83024e-01,  6.37689e-01,  2.97342e-01, -2.78650e-01, -3.15355e-01, -3.86028e-01,  2.50817e-01, -1.73588e-01, -4.01439e-01, -4.86365e-01,  9.39767e-01, -1.84552e-01,  1.56358e-01, -1.80197e-01, -6.46939e-01, -1.30765e+00,  5.49323e-01,  1.28971e-01, -3.22964e-01,
E                    -9.69807e-02, -6.89077e-01, -2.03913e-01, -1.14036e+00,  1.94669e-01, -2.08626e-01, -1.13535e+00, -8.14395e-01, -1.00863e+00, -8.58455e-01, -5.22253e-01, -1.25310e+00,  7.22407e-01, -7.11786e-01,  6.83037e-02, -3.72487e-01, -3.52439e-01, -5.00401e-01, -6.76836e-01,  7.44569e-01,  1.34619e+00, -1.62354e-01,
E                     6.33745e-01, -1.84957e+00, -1.24133e+00,  1.19999e+00, -1.67409e+00,  1.06252e-01, -1.48700e+00, -2.48819e+00, -1.49096e+00, -1.16519e+00,  3.28253e-01, -8.16504e-01, -1.44824e+00, -2.15641e+00, -1.68535e-01,  7.70999e-01, -6.05923e-02, -5.95982e-01, -2.53536e+00,  1.46512e-01,  2.86694e-01, -4.66639e-01,
E                    -2.04720e+00, -1.03984e+00, -1.16742e+00, -9.67171e-02, -1.78435e-01, -2.19739e+00, -2.80356e-01, -1.01766e+00, -7.37682e-01, -5.18956e-01,  5.40484e-01, -1.69856e+00, -1.40466e-01, -1.33165e+00, -9.03442e-01, -3.95910e-01,  8.35482e-01, -4.58424e-01, -2.04958e+00, -5.27605e-01, -1.06984e+00, -7.50989e-01,
E                    -2.24530e+00,  7.15405e-01,  1.63496e-01, -1.17545e+00, -8.33718e-01,  1.58410e+00, -5.31881e-01, -1.41963e+00, -1.22550e+00,  1.37037e+00, -3.42009e-01, -2.94821e-01, -1.53915e+00,  2.39283e-01,  2.24457e-01, -9.31162e-01, -1.26797e+00,  4.66488e-03, -1.57821e-01, -3.20266e-01, -6.70265e-01, -2.15410e+00,
E                     6.03795e-01, -6.87030e-01,  3.30970e+00,  2.36649e+00,  3.01311e+00, -6.70772e-01,  1.78825e+00,  2.33077e-01,  9.35787e-01, -1.68438e-01,  3.21650e+00,  4.19424e+00,  2.53077e+00, -6.90947e-01, -1.21633e+00,  7.48419e-01,  3.49682e-01,  3.08007e-01, -6.46946e-01, -6.64085e-01, -7.40373e-01, -5.03009e-01,
E                     6.99936e-02, -5.99653e-01, -1.18353e+00, -1.91965e+00,  2.84019e-01,  8.92003e-01,  4.30129e+00,  2.34474e+00,  1.85050e+00,  3.35923e-01, -3.82177e-01, -2.13207e+00, -1.45603e+00, -1.05745e+00,  7.92149e-01,  3.92188e+00,  9.16493e+00,  5.53378e+00,  2.49261e+00,  4.07497e+00, -1.17618e+00,  6.11814e-01,
E                     1.56941e-01, -4.98089e-01, -2.80026e-01,  8.92169e-01, -9.72042e-01,  6.22743e-01,  3.97788e+00, -1.50219e+00, -1.30072e+00,  3.00828e-01,  1.00943e+00, -1.00964e+00, -9.05521e-01,  1.11497e+00,  9.42360e-01,  5.09730e+00,  4.78588e-01,  9.67048e-01, -1.01426e+00,  2.43974e+00,  6.24002e-01,  1.17459e+00,
E                    -2.33056e+00,  6.33959e-01, -1.42515e-01, -1.10338e+00, -8.32569e-01, -1.39611e-01, -7.61145e-01, -1.64632e+00, -7.34770e-01, -4.32594e-01, -1.99948e+00,  5.28661e-01, -2.00527e-01, -5.75945e-01,  3.25749e-01,  2.86717e-01,  2.27468e-01,  6.20473e-01,  3.18946e-01,  7.82265e-01, -1.03049e-01,  2.66229e-01,
E                    -7.72608e-01, -1.11356e+00,  1.99333e-01,  1.93949e-01,  7.84018e-01,  6.08816e-01, -3.86674e-01, -7.52785e-01,  9.34373e-01,  1.30608e-01, -3.79871e-01, -4.86010e-01, -1.13811e-01,  8.59707e-02, -5.51929e-02, -6.47537e-03, -7.24899e-01, -5.10707e-01,  5.54664e-01,  1.13791e-01, -5.52931e-01, -6.62458e-01,
E                    -3.33484e-01,  1.69718e+00,  1.92855e+00, -1.83897e-01,  7.94637e-01,  2.27477e-01, -7.59165e-01, -2.93937e-01, -7.33156e-01, -2.81113e-01, -5.92555e-01, -2.24538e-01, -9.70006e-01, -1.42998e+00, -5.70406e-01, -6.33088e-02, -1.06507e+00, -6.63927e-01,  8.45194e-01, -1.75199e+00, -1.16094e+00, -9.06484e-01,
E                    -1.62981e+00, -1.41497e+00, -5.72131e-01,  1.10226e+00,  3.38997e-01,  5.20482e-01,  1.39233e+00,  3.08907e-01, -2.06597e+00,  6.20185e-01, -1.18530e+00,  5.20508e-01,  6.67368e-01, -1.20879e+00, -8.72878e-01, -1.01157e+00, -4.79203e-01, -3.66516e-01, -2.31803e-01, -5.18293e-01, -1.00707e+00,  1.01746e+00,
E                    -5.32297e-01, -4.84644e-01, -5.91558e-01,  1.27806e+00, -4.18216e-01, -3.60139e-01, -6.06753e-01, -9.22695e-01, -5.05284e-01,  2.70868e-02, -1.98679e-01, -1.31435e+00, -1.34700e+00, -2.77095e-01, -9.09451e-01,  8.41563e-01,  6.95735e-01, -6.06497e-02, -9.22786e-01, -1.76155e-01, -6.35493e-01,  7.25885e-01,
E                     4.25339e-01, -5.32517e-01, -6.96061e-01,  4.29828e-01,  1.31863e-01, -8.86596e-01, -4.95385e-01, -7.48132e-01, -1.69555e-02,  6.49092e-01, -4.14456e-02,  5.45222e-01,  3.66027e-01, -4.03187e-01, -1.81695e-01,  3.64112e-01,  4.33633e-01, -3.05236e-01, -3.69745e-01, -5.58641e-02, -1.40686e-01, -2.28352e-02,
E                     3.19690e-01,  2.34086e-01, -6.58899e-01, -6.33486e-01, -6.33788e-01,  3.33521e-01, -5.30947e-01, -9.73252e-01, -7.57970e-01,  4.01320e-01,  1.39548e+00,  7.90789e-01,  5.63211e-01,  3.89169e-02,  1.84210e-01,  2.16444e-01, -1.11063e+00,  7.00567e-01,  1.43527e+00, -2.82709e-01,  5.93224e-01, -9.52827e-01,
E                     5.01577e-02, -1.21450e+00,  2.77365e-01,  1.19739e-01,  6.13328e-01,  1.12707e+00,  6.01219e-01, -9.12027e-02,  1.65172e-01,  2.78280e-01, -3.34944e-01, -5.47591e-01, -7.92833e-02, -1.67292e-01,  7.69678e-01, -4.44176e-01, -1.01937e+00,  7.25793e-01,  1.27664e-01,  3.84388e-01, -3.47334e-01, -7.02138e-01,
E                     6.58065e-01,  1.44613e+00, -7.25527e-01,  3.43579e-02,  1.38725e-01,  7.72867e-01,  9.33939e-01,  9.94020e-01, -2.63267e-01,  4.62410e-01,  1.43235e-01, -6.89314e-01, -2.27127e-01, -2.51093e-01, -6.11329e-01, -3.61150e-01,  3.02520e-01,  4.60164e-01,  1.54201e-01,  7.96869e-01, -5.27225e-01, -1.83066e-01,
E                    -4.77551e-01, -7.22301e-01,  5.40508e-01,  6.10720e-01,  1.41074e+00, -1.14021e-01, -1.67631e+00,  8.50671e-01, -7.56643e-01,  1.95004e-01,  1.18574e-01, -6.64558e-01, -2.47239e-02, -1.82479e+00, -7.05616e-01,  1.19261e-02,  2.25258e-01,  9.66365e-01, -1.21141e+00, -3.64984e-01, -5.92613e-01,  2.12038e-01,
E                     8.74714e-01,  4.49331e-01, -8.79760e-01, -4.15317e-01, -2.02567e-01,  1.34594e+00,  5.68816e-01,  1.07451e-02, -1.31222e+00,  1.01660e+00, -6.13991e-02, -7.94175e-01,  3.78494e-01,  8.63205e-01, -8.21501e-01,  2.12533e-01,  2.11634e+00, -7.59071e-01,  7.25719e-01, -4.06732e-02,  3.21315e-01, -5.02618e-01,
E                     1.14030e+00,  1.04550e+00, -6.05773e-01, -5.60780e-01, -6.74001e-01, -5.03264e-01,  1.46851e+00,  1.35613e+00, -6.72555e-01, -1.13167e-01, -9.08463e-01,  1.13045e+00, -1.51336e+00,  6.47093e-01, -8.28551e-01, -6.18123e-01,  9.71370e-01,  2.58188e-01, -2.06545e-01, -9.06570e-01, -3.11559e-01,  1.28782e-01,
E                     1.35247e-01, -3.97209e-01,  1.11081e+00,  1.74492e+00, -8.73839e-01, -1.42047e+00, -4.39142e-01, -7.87616e-01, -4.45347e-01, -5.18412e-01,  1.36192e-01, -1.86399e-01,  3.24395e-01,  9.63781e-01, -7.43569e-01, -8.26966e-01,  1.92122e-01, -1.04482e+00,  1.23129e-02,  3.15756e-01,  1.35452e-03,  3.69615e-01,
E                     4.52509e-01, -5.64554e-01,  9.39654e-03, -5.21497e-02,  8.07484e-01,  2.74598e-02,  1.16789e+00, -4.11974e-01,  6.32196e-01,  1.23128e-01, -1.81320e-01, -4.15254e-02,  1.50241e+00, -5.06534e-01,  1.10408e+00, -1.09497e+00,  3.90312e-01, -8.00785e-01, -4.18115e-01, -3.34193e-01, -2.18514e-01, -1.15975e-01,
E                    -3.06154e-01, -1.61748e+00,  6.07373e-01, -5.17887e-01,  3.00977e-01, -1.38002e-01, -5.24279e-01,  5.83275e-01,  3.70124e-01, -5.60106e-01,  5.58291e-02, -8.27069e-01,  2.57742e-01,  3.89320e-01, -1.30146e-01,  1.81819e-01, -9.61577e-01, -4.65934e-01,  1.08969e+00, -8.38983e-01,  4.82573e-01,  2.46688e-01,
E                     7.41933e-01, -4.72301e-01, -3.55471e-01,  1.43930e+00,  1.74359e-01,  7.93648e-01,  1.44845e-01, -3.28224e-01,  1.99647e-01, -3.04717e-01, -3.47599e-01,  8.11598e-01,  1.20252e+00,  5.29428e-01,  5.20050e-01,  6.24543e-02,  5.66048e-02,  3.25271e-01, -1.12779e+00,  5.14432e-01, -1.48884e-01,  7.04510e-01,
E                     5.08802e-01,  6.55549e-01, -5.67865e-02, -4.16325e-02, -1.26484e-01, -9.13620e-04,  2.58661e-01,  6.87173e-01,  4.30499e-01, -7.82403e-01,  1.59793e-02, -4.61957e-01, -1.00484e+00, -8.93866e-01,  5.91841e-01,  1.11500e+00, -5.53390e-01,  4.33876e-01, -5.00482e-01, -1.06786e+00, -3.97253e-01,  1.00698e+00,
E                    -1.31744e-01,  1.04341e+00, -4.30904e-02, -1.58794e-01, -2.14585e-01,  7.38348e-01, -8.09839e-01,  6.17230e-01, -9.46967e-01,  1.46543e-01, -3.48139e-02,  1.00076e+00,  4.88188e-01, -2.90811e-01,  8.00277e-01, -5.37529e-02,  5.45744e-01, -6.69507e-02, -1.13772e+00,  4.54327e-01, -2.09739e-01,  2.64828e-01,
E                    -4.04176e-01,  3.44805e-01, -4.78610e-01, -4.39499e-01, -4.55582e-01,  6.07992e-01, -9.93789e-01,  4.83734e-01,  2.29808e-02, -1.65505e+00, -9.35819e-01, -5.73171e-01, -5.39812e-01,  7.29810e-01,  3.91886e-01,  8.28519e-02, -3.96185e-01,  3.63441e-01, -1.03342e-01, -6.53471e-01, -1.30053e+00, -5.80390e-01,
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E                    -9.28698e-01, -9.90784e-01,  1.54997e-01, -2.68366e-01, -4.90321e-01,  5.45129e-01, -4.94871e-01, -2.15851e-01, -5.31478e-01,  9.32085e-01, -8.47887e-01, -1.04166e+00,  8.52019e-02, -4.94651e-01,  1.37412e+00, -6.85904e-01,  3.36532e-01, -1.49126e+00, -8.93716e-01, -1.61808e-01, -2.60680e-01,  1.46129e+00,
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E                     2.48632e-01,  5.58406e-01,  3.20101e-01, -3.26191e-01,  7.40350e-01,  4.63232e-01, -4.93572e-01, -4.72303e-01, -6.87950e-02, -4.74892e-01,  9.17114e-01, -6.48549e-01,  1.81364e-01, -3.75866e-01, -8.45766e-02, -7.38129e-01, -8.18809e-01, -7.09239e-01, -6.37333e-01, -3.21043e-01, -1.16253e+00, -4.23003e-01,
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E                     8.90354e-01, -4.06742e-01, -7.76617e-01, -8.62926e-01,  4.78321e-01, -7.60857e-01,  3.77676e-01, -3.74148e-01,  2.57240e-01, -7.68597e-02, -1.29196e+00,  3.10992e-01, -6.91354e-01, -1.29132e+00, -1.24197e+00, -3.26765e-01,  6.75511e-01,  4.12090e-01,  5.69691e-01, -2.16424e-01,  4.37178e-01, -6.18782e-02,
E                    -4.84423e-02, -5.29007e-02,  1.03951e+00,  4.86026e-01,  1.39946e-01,  6.99374e-01,  5.10064e-01,  1.13255e+00,  9.04496e-01,  1.89954e-01,  9.41593e-01, -8.66982e-02, -6.17018e-01,  1.94241e-02, -7.79735e-01, -8.14358e-02,  1.78757e+00, -3.44878e-01,  7.56994e-02, -7.75870e-01, -9.88820e-01, -7.28877e-01,
E                     7.18945e-02,  9.29703e-01, -1.48233e-01,  7.97102e-01, -5.09637e-01,  2.90438e-01,  5.66186e-01, -5.81663e-01,  9.92713e-02, -2.11826e-01, -1.09451e+00,  4.41764e-01,  9.75345e-01, -5.59031e-01,  2.51303e-01, -1.15813e+00, -5.63589e-01, -3.31534e-01,  5.78431e-01, -4.16665e-01, -4.18803e-01,  4.75547e-01,
E                     1.27904e+00, -3.28521e-01, -3.60997e-01,  3.50291e-01, -1.24746e+00, -5.91682e-01,  3.00331e-01, -2.80667e-01, -6.63499e-01, -7.13640e-01, -7.64146e-01, -1.73053e-01,  5.14829e-01,  2.14712e-01, -7.14257e-01, -6.99193e-01, -2.75900e-01,  5.99361e-01,  5.14985e-01,  1.31371e+00, -8.32213e-01,  4.58632e-01,
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E                    -4.79256e-01, -8.74767e-01,  1.55303e-01, -3.63983e-01, -1.32832e+00,  1.07652e+00,  4.88813e-01, -2.70776e-01, -1.75803e-01, -7.37665e-01, -2.37023e-01, -8.10013e-01, -6.65091e-01, -1.68182e-01,  5.42986e-01, -9.61954e-01, -1.21146e-01, -5.05264e-01, -1.08620e-01, -5.12208e-01,  6.64382e-03, -1.33095e+00,
E                    -3.95482e-01, -1.03926e+00, -5.87745e-01,  5.08032e-01,  2.08136e-01,  1.04214e-01,  4.57795e-01, -7.48356e-01, -3.74927e-03, -1.50568e-01, -8.18602e-01,  4.86182e-01, -2.23044e-01, -2.85217e-01, -1.07576e+00,  2.22148e-01, -3.75182e-01,  1.80508e-01, -4.84841e-01, -1.70341e+00,  3.60490e-01, -8.73346e-01,
E                    -3.78153e-01,  1.16344e+00, -6.18135e-02,  6.21083e-01, -7.36345e-01, -1.10484e+00, -7.27062e-01,  3.06411e-01, -1.10489e+00, -1.13623e+00,  3.53592e-01, -1.33842e+00, -7.39364e-01,  9.06167e-01,  1.37099e+00, -8.30121e-02, -5.10048e-01,  3.31613e-02, -7.14911e-01,  1.21425e-01,  2.46267e-01,  1.00247e+00,
E                     9.92589e-01, -4.94086e-01,  1.28477e-01, -4.22161e-01,  1.41518e-01,  2.03440e-01, -1.16179e+00, -9.32818e-02, -4.55225e-01,  7.32541e-01]], grad_fn=<AddmmBackward0>), compiled_model=tensor([[ 6.17641e+04,  1.81373e+03, -4.66735e+04, -3.29411e+04,  1.13049e+04, -5.42191e+04,  1.99360e+04,  3.52980e+03, -2.06241e+04, -2.68937e+04,  3.55653e+04,  3.47067e+04,  1.12451e+04,  4.83569e+04,  3.48490e+04, -4.08498e+03,  1.06908e+04,  7.03325e+04,  1.49062e+04,  8.49464e+04,  1.20162e+04, -2.51721e+04,
E                    -2.68261e+04, -2.18735e+04, -8.04464e+03,  8.20212e+03, -3.62523e+04, -1.17675e+04,  9.89234e+03,  3.48075e+04,  5.43754e+04, -4.16922e+03,  5.90437e+02, -1.39544e+04, -6.95756e+04,  1.08764e+04,  2.87426e+04, -1.86628e+04,  4.90140e+04,  2.57521e+03, -1.55877e+04,  1.22406e+04, -3.62764e+04, -1.47403e+04,
E                     5.74553e+04,  3.48371e+04, -5.72164e+04, -1.27989e+03, -1.24525e+04, -3.90996e+04,  2.21246e+04, -9.68433e+03, -8.50046e+03,  2.30527e+04, -6.15948e+04, -2.42839e+04,  3.50850e+04,  3.93320e+04,  3.96506e+03, -4.00797e+04, -3.62160e+04, -4.68611e+03,  9.17046e+03, -4.74025e+04, -4.27207e+04, -6.70289e+03,
E                     9.80184e+03, -1.29557e+04, -2.09041e+04,  1.16801e+04, -5.03101e+04,  2.39293e+04, -2.82823e+04, -1.45355e+04, -4.37717e+04, -3.81022e+03, -9.10027e+03, -6.05916e+04,  3.32380e+04,  2.60016e+04,  7.85986e+04,  9.64401e+03,  1.50761e+04,  6.50273e+04,  3.83754e+04,  2.45748e+04,  2.87975e+04,  5.31701e+04,
E                    -2.03077e+04,  3.80724e+04, -4.37858e+04, -5.04449e+02, -1.14141e+04,  4.98018e+04,  7.50793e+04,  1.30315e+04,  5.90712e+04,  1.87761e+04,  6.36112e+03, -2.73449e+04, -4.59752e+04, -3.43222e+04, -2.39205e+04,  4.61905e+04, -3.83174e+04,  2.08355e+04,  3.32591e+04, -6.66644e+04, -3.80268e+04,  2.10834e+04,
E                     3.84944e+04, -1.92809e+02,  4.42273e+03,  2.98062e+04, -1.50089e+04, -4.81015e+04, -7.37762e+02,  1.85797e+04, -4.58942e+04,  1.23528e+04,  2.98927e+03, -1.84007e+04, -4.59192e+03, -5.30232e+03,  2.71272e+04,  1.05893e+04,  3.69475e+04,  1.13297e+04, -2.54987e+04,  4.16080e+04, -4.04732e+03,  2.13737e+04,
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E                     3.27242e+04,  1.70537e+04, -1.34098e+04,  2.89524e+04, -4.96814e+03, -3.42114e+04, -6.44166e+03, -3.69722e+04,  4.26934e+04, -3.47690e+04, -8.31492e+04, -1.08178e+04, -2.13355e+03, -4.28318e+04,  2.81727e+04, -1.74390e+04, -1.87648e+04, -6.46973e+03, -1.99444e+04, -1.27980e+03, -5.97085e+04,  4.24025e+04,
E                    -1.34093e+04,  2.07947e+04, -9.86889e+03, -2.85911e+03,  8.59534e+02, -3.70230e+04, -4.37664e+04,  3.46571e+04, -1.10828e+04,  3.88062e+04,  2.82639e+04, -1.02449e+04, -1.13514e+05,  1.82845e+03, -7.01843e+04, -2.78886e+04,  1.14650e+04,  6.93925e+03, -9.27499e+01, -9.53454e+03, -1.37288e+04, -3.12948e+03,
E                    -4.16787e+04,  3.61625e+03, -7.36787e+03, -1.37505e+04, -2.76342e+04,  1.02110e+04, -1.16884e+04, -1.77017e+04,  1.75948e+04,  2.25546e+04, -3.11460e+03, -4.46235e+04, -2.51121e+04,  3.10045e+04,  4.15512e+04, -3.73173e+04, -5.36112e+04,  1.13756e+05, -1.41055e+04,  2.48051e+04, -2.19219e+03, -5.02488e+04,
E                    -3.45850e+04,  3.75069e+04, -2.62521e+04,  3.59657e+04, -9.28713e+04,  1.26401e+04, -1.74241e+03, -4.43591e+04, -2.19728e+04, -2.10583e+04, -8.45906e+04,  2.16121e+04, -2.58234e+04, -4.41918e+04, -9.49558e+03,  4.19403e+04,  5.57190e+03,  1.83641e+04, -6.54132e+03,  6.00184e+04,  2.89616e+04, -9.58266e+03,
E                     2.44454e+04, -4.29516e+04, -3.53818e+04, -3.16865e+04,  8.05169e+04, -2.76594e+04,  1.40133e+04, -2.41963e+04, -7.78786e+03,  2.08204e+04, -4.72982e+03, -2.60031e+04, -4.24321e+04,  5.73923e+04,  1.68405e+04,  4.96400e+03,  8.53076e+04,  2.51981e+04, -1.94285e+04,  2.71192e+04, -5.67376e+03, -1.86411e+04,
E                    -6.26174e+04,  3.68600e+04,  1.44059e+04, -3.50389e+04,  2.95194e+04,  1.11159e+04, -1.34752e+04,  8.37717e+02, -3.40298e+04, -2.31227e+04, -6.27255e+04, -1.32958e+04,  1.81326e+02, -5.35756e+04, -7.31787e+04, -4.13233e+04, -4.39237e+04,  2.92068e+04, -1.83956e+04, -2.96073e+04, -1.60321e+04, -8.70882e+04,
E                    -4.74499e+04,  2.23025e+04, -3.99764e+04, -4.76869e+04, -1.09126e+04, -2.20541e+04, -3.01879e+04, -2.79042e+04,  2.34992e+04, -2.51156e+04,  2.67321e+03, -9.00724e+03, -1.40301e+04, -1.27572e+04,  1.44950e+04, -6.67888e+04, -1.05228e+04, -7.86325e+04, -2.34275e+04, -7.77904e+04,  3.37241e+04,  9.54917e+03,
E                    -6.27790e+04,  5.19801e+03, -7.08157e+04, -2.46228e+04, -2.24765e+04,  3.89019e+04, -7.38433e+04, -8.16174e+03, -4.52907e+04, -7.74628e+03, -4.19971e+04, -3.44770e+04,  2.99600e+04, -4.03646e+04, -1.06710e+04, -4.20159e+04,  2.37221e+04,  1.41594e+04,  6.36764e+04, -1.56547e+03,  5.01126e+04, -8.12478e+04,
E                    -3.92165e+03,  4.01064e+04, -6.04119e+04,  3.96933e+04, -1.03209e+04, -3.90523e+04, -6.80411e+04,  3.65774e+03,  5.75915e+03,  4.10420e+03,  2.23779e+04,  3.53736e+04, -8.43029e+04, -5.99758e+03, -1.87484e+04,  6.44442e+04,  1.18038e+04,  1.34983e+04, -6.69808e+04,  3.41069e+04, -5.00843e+03,  3.19535e+04,
E                     9.47640e+03, -1.71753e+04,  2.09712e+04, -2.10270e+03,  2.50148e+04, -3.94297e+04, -2.01816e+04, -2.19803e+04,  5.32477e+04, -7.34938e+04,  1.71511e+04, -1.04863e+04,  1.06453e+05,  2.92017e+04,  9.37468e+03, -3.55330e+04, -7.04197e+04, -2.18280e+04, -3.07948e+04,  9.93798e+03,  4.12747e+04,  2.55757e+04,
E                    -2.57982e+04, -4.59823e+04, -3.58314e+04,  3.45680e+03,  8.25782e+03, -5.69000e+04,  2.11947e+04, -4.35756e+03, -2.41732e+04,  1.08058e+04, -3.72119e+04, -3.24224e+03, -3.17954e+03,  1.29283e+04,  5.72426e+04, -3.22019e+04, -5.19179e+04,  1.97163e+04, -6.51002e+03,  6.44851e+03,  3.04400e+04,  4.12023e+03,
E                     4.55692e+04,  3.39826e+03,  1.63284e+04,  1.47216e+04, -2.17773e+04,  1.91197e+04,  2.78075e+04,  1.82958e+04, -3.69151e+04,  3.06462e+03, -3.32487e+04, -3.17146e+04,  4.23010e+03, -1.62778e+04,  2.29146e+04,  2.44483e+04, -8.52004e+03, -1.25278e+04, -5.99006e+04,  3.54375e+04, -2.59843e+04, -1.62193e+04,
E                     8.65389e+03,  3.46807e+04, -1.16162e+04,  1.75145e+04, -2.22923e+04, -8.41164e+04,  9.36314e+03, -4.27876e+04, -1.12036e+04,  4.97050e+04, -3.24557e+04,  3.86263e+04, -3.17457e+04, -3.07811e+04,  7.67256e+04,  8.73388e+04,  7.65963e+03, -2.41343e+04, -4.08918e+03,  3.44322e+04,  2.98675e+04, -5.73685e+03,
E                    -7.88109e+04, -8.82088e+04, -2.39517e+04, -4.70598e+04,  1.12543e+04,  1.55953e+04, -1.52499e+04,  4.16706e+04,  1.82498e+03, -2.08529e+04, -7.36970e+03, -2.37347e+04,  4.43250e+04, -3.01173e+04, -9.54198e+03, -1.52907e+04, -1.20665e+04, -4.49551e+04,  3.26583e+04, -7.08600e+03, -1.16798e+04, -2.66833e+04,
E                     4.15607e+04, -5.39661e+04, -2.37619e+04,  2.81228e+04, -7.96112e+04, -2.07453e+04, -3.82041e+04, -2.38987e+04, -2.09597e+04,  8.89907e+03, -1.59497e+03, -2.90657e+04, -3.29899e+04, -8.82094e+04, -3.71372e+04,  1.23931e+04, -5.01311e+04, -3.53019e+04, -3.32885e+04, -2.48366e+04,  1.75743e+04, -1.41470e+04,
E                     3.38073e+03, -1.14732e+04,  6.83279e+04, -2.06438e+04, -9.81809e+03,  2.65450e+03,  3.55603e+04, -1.58407e+04, -5.15699e+04, -1.03357e+05,  4.07350e+04, -1.19100e+03, -6.92608e+03,  2.93991e+02,  1.54483e+04,  1.29671e+04,  4.20726e+04, -7.69889e+04, -2.55256e+04,  4.00162e+04, -1.70051e+04, -2.54041e+04,
E                    -2.40944e+03, -1.24719e+04, -1.46950e+04,  1.42441e+04, -6.75744e+04, -5.27624e+03, -2.54161e+04, -3.26412e+04, -2.28069e+04, -2.88846e+03, -2.06338e+04, -6.53387e+04, -3.53717e+04, -1.33394e+04, -2.04453e+03, -1.71179e+04, -8.51425e+03,  2.18283e+04,  1.05999e+04,  3.58584e+04, -3.81561e+04, -1.57156e+04,
E                    -4.46323e+04, -3.74872e+04, -2.96273e+04, -3.39103e+04, -2.63756e+04, -3.33514e+04, -3.40930e+04, -7.39426e+04, -2.22770e+04, -2.48807e+04, -2.02299e+04, -3.53759e+04, -2.12722e+04, -3.24178e+04, -2.12166e+04, -2.16501e+04,  3.28179e+03,  1.26538e+04, -1.12005e+04, -2.77359e+04,  4.45601e+04, -3.21076e+04,
E                    -3.29261e+04, -4.49765e+04, -2.54373e+04, -3.63009e+04,  2.87695e+04, -2.60444e+04,  4.59519e+04,  2.66457e+04,  3.60394e+03, -3.72129e+04, -7.01840e+03, -1.63798e+03, -3.11660e+04, -8.92209e+03, -2.49319e+04, -6.82665e+04,  6.01981e+02,  2.88496e+04, -1.20855e+04,  3.52057e+03, -1.62408e+04, -3.79204e+04,
E                     4.98257e+03, -1.50524e+04, -6.64809e+02,  1.04495e+04, -5.13087e+04,  2.14887e+04,  8.58467e+03,  3.54663e+04, -8.58599e+03, -5.01632e+04]])

/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/value_checkers.py:38: ValueError

record_forge_property = <function record_property.<locals>.append_property at 0x7f57fc2bea70>
variant = 'ghostnet_100'

    @pytest.mark.push
    @pytest.mark.nightly
    @pytest.mark.parametrize("variant", variants, ids=variants)
    def test_ghostnet_timm(record_forge_property, variant):
        # Build Module Name
        module_name = build_module_name(
            framework=Framework.PYTORCH,
            model="ghostnet",
            variant=variant,
            source=Source.TIMM,
            task=Task.IMAGE_CLASSIFICATION,
        )
    
        # Record Forge Property
        record_forge_property("model_name", module_name)
    
        # Load the model and prepare input data
        framework_model, inputs = load_ghostnet_model(variant)
    
        # Forge compile framework model
        compiled_model = forge.compile(framework_model, sample_inputs=inputs, module_name=module_name)
    
        # Model Verification
>       verify(inputs, framework_model, compiled_model)

forge/test/models/pytorch/vision/ghostnet/test_ghostnet.py:42: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/verify.py:333: in verify
    verify_cfg.value_checker.check(fw, co)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <forge.verify.value_checkers.AutomaticValueChecker object at 0x7f592339ca30>
fw_out = tensor([[ 1.20170e-01, -1.21569e+00, -8.63155e-01, -4.40311e-01, -1.47979e-01, -6.21764e-02,  1.00532e+00,  1.46156e+0...72e-01, -1.16165e+00,  1.25121e-01, -4.28945e-01, -5.47664e-01,  4.81251e-01, -1.94057e+00]], grad_fn=<AddmmBackward0>)
co_out = tensor([[-1.38214e+04,  5.33475e+03,  9.90033e+03,  2.06477e+03,  1.01020e+04,  9.81732e+03,  1.00732e+03, -4.30257e+0...e+03, -1.46210e+03,  1.52490e+04, -1.10261e+04, -7.55536e+03,  2.18226e+03,  8.39500e+03,  6.84409e+03, -1.41745e+04]])

    def check(self, fw_out, co_out):
        if not compare_with_golden(fw_out, co_out, self.pcc, self.rtol, self.atol, self.dissimilarity_threshold):
>           raise ValueError(
                f"Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model={fw_out}, compiled_model={co_out}"
            )
E           ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[ 1.20170e-01, -1.21569e+00, -8.63155e-01, -4.40311e-01, -1.47979e-01, -6.21764e-02,  1.00532e+00,  1.46156e+00,  1.47249e+00, -5.85328e-01, -7.58131e-01,  2.05581e-01, -4.33313e-01, -6.56290e-01, -6.77589e-01, -2.29118e-01,  6.67535e-01, -3.93758e-02,  9.13567e-01, -5.29698e-02, -4.88701e-01,  9.52716e-02,
E                     8.06595e-01, -4.35919e-01, -8.07289e-01,  2.01960e-01, -4.83481e-01, -1.72605e-01,  4.19251e-02,  1.54235e+00, -3.26230e-01,  3.55531e-01,  3.09064e-02,  3.27481e-01, -5.12115e-01, -7.73162e-01, -5.48645e-01, -2.54017e-01,  3.63583e-01,  9.56208e-01,  8.43048e-02,  4.88243e-01, -5.99832e-01, -3.59440e-01,
E                     2.03979e-01,  4.23883e-01,  1.19017e-02,  1.37352e-01, -5.50744e-01, -6.81205e-01,  8.57449e-03,  1.39710e-01,  1.09202e+00, -6.93910e-01,  2.51741e-01,  4.82455e-01, -6.62051e-01, -1.80260e-02, -3.66902e-01,  6.37522e-01,  1.20438e+00, -3.80012e-01, -4.20954e-01, -2.18523e-02, -5.18567e-01, -4.94874e-01,
E                    -2.68575e-01, -2.99623e-01,  1.60392e-01, -3.80328e-01,  2.26537e-01,  5.34294e-01,  7.97436e-02, -8.64706e-02,  1.18603e-01, -3.17015e-01, -1.14687e+00,  6.34190e-02,  3.95943e-01,  6.68004e-02, -1.17210e+00,  5.16191e-01, -4.39269e-01, -8.39994e-01,  1.12565e+00,  2.05571e-01, -4.06665e-01, -1.74890e+00,
E                    -5.33193e-01,  5.90001e-01,  6.99889e-01, -3.24737e-01, -9.36322e-02, -5.91788e-01, -4.68369e-01, -1.05077e+00, -2.68287e-01,  6.23051e-02, -1.82049e-01,  3.51104e-01,  5.09444e-01, -1.15244e+00, -8.49846e-01, -7.97320e-01,  3.05994e+00, -7.57204e-01, -2.87095e-01, -1.23907e+00,  8.63771e-02, -4.32548e-01,
E                    -3.51579e-01, -9.76326e-01,  5.48750e-01, -1.68996e-01, -1.02263e-02,  1.34490e+00, -5.64201e-01, -1.42454e-01,  7.91595e-02,  5.17974e-01, -7.05864e-02,  1.00761e+00, -8.19077e-02,  4.37224e-01,  4.37714e-01, -9.17634e-02, -7.83743e-01,  3.05969e-01, -8.71303e-01, -8.07308e-02, -4.97321e-01, -1.27543e+00,
E                     1.85494e-01, -1.99775e+00,  2.60669e-01, -8.54365e-01, -1.34596e+00, -9.84889e-01,  3.04386e-01, -1.48406e-02, -1.23363e+00, -7.08688e-01, -8.02047e-02,  2.04443e-01,  9.84475e-01, -1.25392e+00,  1.76643e-01, -6.62801e-01,  8.11052e-02, -7.22376e-01,  1.13428e-02,  2.42546e+00,  2.66848e+00,  8.54750e-01,
E                     1.13605e+00, -9.86772e-01, -5.36060e-01,  3.05125e+00, -4.68895e-01, -1.33260e-01, -1.12293e+00, -1.57413e+00, -1.41567e+00, -9.95755e-01,  1.15554e-02, -1.11815e+00,  2.27573e-02, -1.35460e+00, -3.70078e-01,  6.75523e-01,  1.36403e+00, -2.37570e-01, -7.57150e-01,  1.28765e+00,  7.87230e-01, -2.56269e-01,
E                    -2.03207e+00, -5.43927e-01, -1.02031e+00,  3.44577e-01,  2.72252e-01, -1.87493e+00, -1.36277e-01, -2.13192e-01, -1.89081e-01, -3.04511e-01,  1.10855e+00, -7.15376e-01,  8.27604e-02, -1.07287e+00, -6.70886e-01, -6.52303e-01,  9.93492e-01,  9.42773e-03, -7.14886e-01,  1.28183e+00, -9.01790e-01,  1.49720e-01,
E                    -1.81491e+00,  6.74606e-01, -8.18084e-02, -5.89677e-01, -6.51785e-01,  2.79104e+00, -9.00692e-01, -7.25091e-01, -1.11319e+00,  1.33478e-01, -3.55679e-01, -8.59548e-01,  1.94654e-01, -4.89886e-01,  1.01864e+00, -5.71895e-01, -7.49164e-01, -2.53193e-02, -1.02831e+00, -1.16052e-01, -5.87187e-01, -9.32568e-01,
E                    -1.17588e+00, -7.74028e-01,  2.11078e+00,  2.95273e+00,  4.44025e-01,  1.76079e-01,  1.31740e+00, -2.08462e-01,  9.00700e-01,  1.01790e+00,  2.90250e+00,  2.74376e+00,  2.69120e+00,  1.28540e-01, -7.61560e-01,  6.90021e-01,  3.99249e-01, -3.25338e-01,  4.62646e-01,  2.68248e-02,  1.59977e-02,  6.46798e-01,
E                     9.22241e-01, -2.74396e-01, -6.42952e-01, -1.65507e-01,  9.61170e-01,  1.05287e+00,  4.60874e+00,  2.96975e+00,  3.68360e+00,  1.32759e+00, -8.64184e-02,  9.09732e-02, -7.79974e-01, -2.57819e-01,  1.15004e+00,  3.16956e+00,  8.20658e+00,  5.77842e+00,  2.27767e+00,  2.97143e+00,  3.05258e-01,  1.01661e+00,
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E                     8.20266e-01,  1.52190e-01, -6.35040e-01, -7.46572e-01, -1.16165e+00,  1.25121e-01, -4.28945e-01, -5.47664e-01,  4.81251e-01, -1.94057e+00]], grad_fn=<AddmmBackward0>), compiled_model=tensor([[-1.38214e+04,  5.33475e+03,  9.90033e+03,  2.06477e+03,  1.01020e+04,  9.81732e+03,  1.00732e+03, -4.30257e+03, -5.21750e+02, -9.57155e+02, -1.49628e+04, -3.14360e+03, -1.46277e+04, -7.30348e+03,  1.77756e+04,  2.66294e+03, -7.89271e+03,  1.16476e+04, -8.45181e+03, -8.69500e+03, -4.98714e+02, -8.34000e+03,
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E                     1.27118e+03, -5.86162e+03,  6.11666e+03, -9.05883e+03, -6.27128e+03, -1.34733e+04,  7.72861e+03, -1.10409e+04, -9.60692e+03,  2.28018e+03, -6.54070e+03, -7.92908e+03, -1.52143e+04, -8.60796e+03, -2.45961e+03, -2.45869e+03, -1.77088e+03, -3.73923e+03,  4.85528e+03, -2.07264e+03, -1.74168e+03,  1.20084e+04,
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E                     7.10169e+03, -1.17701e+04,  4.07491e+03, -9.67772e+02, -8.17814e+03,  5.44072e+03,  1.23398e+03,  8.78056e+03,  3.27544e+02, -6.56263e+03,  1.31828e+03, -1.40621e+04, -8.54906e+03,  5.19866e+03,  5.33971e+03,  4.60181e+03,  1.52946e+04,  1.25903e+04,  2.22053e+04,  8.16747e+03, -1.60913e+03,  8.67744e+03,
E                    -8.77677e+02,  2.17490e+04, -5.78608e+03, -6.53606e+03, -3.30966e+03, -3.68383e+03, -5.78588e+03, -9.91516e+03,  9.20059e+03, -4.23996e+03, -5.67135e+03, -1.34929e+03,  1.35169e+04,  1.77869e+04,  1.76532e+04,  2.23487e+04, -1.87665e+02,  5.00704e+03, -2.02479e+03,  1.40149e+04,  7.17635e+03, -3.62069e+03,
E                    -1.37164e+03,  6.54380e+02, -1.59362e+03, -1.08393e+03,  8.18296e+03,  9.61119e+03, -9.68240e+03, -5.72179e+03, -7.78912e+03,  5.04644e+02,  1.73687e+04,  5.26581e+03,  1.56394e+04,  3.83283e+03,  7.17255e+03,  4.79326e+03,  9.31889e+03, -4.84206e+03, -3.03449e+03,  4.20678e+03, -1.61564e+03,  8.41863e+02,
E                    -5.33409e+03,  6.89773e+03, -1.46210e+03,  1.52490e+04, -1.10261e+04, -7.55536e+03,  2.18226e+03,  8.39500e+03,  6.84409e+03, -1.41745e+04]])

/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/value_checkers.py:38: ValueError

record_forge_property = <function record_property.<locals>.append_property at 0x7f58de9e0ee0>

    @pytest.mark.nightly
    @pytest.mark.push
    def test_mobilenetv2_basic(record_forge_property):
        # Build Module Name
        module_name = build_module_name(
            framework=Framework.PYTORCH,
            model="mobilenetv2",
            variant="basic",
            source=Source.TORCH_HUB,
            task=Task.IMAGE_CLASSIFICATION,
        )
    
        # Record Forge Property
        record_forge_property("model_name", module_name)
    
        # Load the model and prepare input data
        framework_model, inputs = load_mobilenet_model("mobilenet_v2")
    
        # Forge compile framework model
        compiled_model = forge.compile(framework_model, sample_inputs=inputs, module_name=module_name)
    
        # Model Verification
>       verify(inputs, framework_model, compiled_model)

forge/test/models/pytorch/vision/mobilenet/test_mobilenet_v2.py:53: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/verify.py:333: in verify
    verify_cfg.value_checker.check(fw, co)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <forge.verify.value_checkers.AutomaticValueChecker object at 0x7f592339ca30>
fw_out = tensor([[ 2.09766e+00, -1.73477e+00, -2.23547e+00, -2.96694e+00, -2.38047e+00,  9.73973e-01, -1.60490e+00,  3.69141e+0...16e+00, -4.15623e+00, -2.58312e+00, -1.42743e+00, -3.07661e+00,  1.66521e+00,  3.33175e+00]], grad_fn=<AddmmBackward0>)
co_out = tensor([[ 1.07934e+01, -1.42825e+00,  6.80889e-01, -2.16976e+01,  9.42372e+00,  1.03126e+00, -6.63278e+00,  3.80385e+0...e+00, -5.91428e+00,  5.23481e+00, -6.04370e+00,  1.99762e+00,  3.01789e+00, -3.18623e+00, -1.84351e+00, -2.15348e+00]])

    def check(self, fw_out, co_out):
        if not compare_with_golden(fw_out, co_out, self.pcc, self.rtol, self.atol, self.dissimilarity_threshold):
>           raise ValueError(
                f"Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model={fw_out}, compiled_model={co_out}"
            )
E           ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[ 2.09766e+00, -1.73477e+00, -2.23547e+00, -2.96694e+00, -2.38047e+00,  9.73973e-01, -1.60490e+00,  3.69141e+00,  6.38125e+00, -1.29293e+00, -6.75546e+00, -3.35253e+00, -7.96187e+00, -4.45539e+00, -5.64228e+00, -4.66244e+00, -1.95772e+00, -3.58107e-01, -1.28124e+00, -4.67070e+00, -3.29353e+00, -2.56743e+00,
E                    -2.43506e+00, -1.30172e+00, -3.24534e+00, -1.42369e+00, -1.20008e+00,  4.12745e-01, -1.60932e+00,  1.58709e+00,  2.77249e-01, -6.26518e-01, -2.97340e-01, -3.82189e+00, -1.54503e+00, -2.89762e+00, -5.65281e-01, -2.39383e+00, -3.37046e-01,  1.28093e+00, -1.25156e+00, -2.64694e+00, -3.10114e+00, -2.24465e+00,
E                    -4.43849e-01, -1.26201e+00,  8.28955e-01, -2.04362e+00, -6.60371e-01, -8.65219e-02,  4.89667e-01, -1.71898e+00, -7.79428e-01, -1.10459e+00, -5.38574e-01, -2.92538e+00, -1.93272e+00, -2.72726e+00, -6.09033e-01, -1.68023e+00,  1.34427e+00, -4.20620e+00, -1.47685e+00, -4.55810e+00, -3.27264e+00, -4.00857e+00,
E                     1.57022e-01, -1.99208e+00, -7.45535e-01, -4.22303e+00, -3.88552e+00, -9.48370e-01, -2.13732e+00, -3.55621e+00, -2.46016e+00, -3.23393e+00, -3.14142e+00, -2.67863e+00, -3.43203e-01,  1.30206e+00, -1.80812e+00, -6.95897e-01,  6.09931e-01,  1.06292e+00,  7.00080e-01, -2.13989e+00, -8.33210e-01, -1.27120e+00,
E                    -2.94451e+00,  2.61588e+00, -3.08587e+00, -3.92355e+00, -5.09661e+00, -2.68985e+00, -4.25410e+00, -5.74959e+00, -1.46123e+00, -3.33786e+00, -5.11460e+00,  1.31986e-01,  6.42829e-01, -3.81780e+00, -6.06677e-01, -3.82359e+00,  8.33752e+00, -2.08773e-01,  1.57268e+00, -3.25686e+00, -1.30877e+00, -4.35410e+00,
E                    -1.89965e+00, -4.45581e+00, -2.60552e+00, -4.82005e-01,  6.58473e-01, -1.11386e+00, -1.99224e+00, -2.98605e+00,  6.35415e-02, -4.11813e-02, -4.97987e+00, -3.56227e-01,  6.92361e-02,  2.61847e-02,  1.06026e+00, -3.74997e+00, -2.27643e+00, -1.12599e+00, -3.65570e+00, -1.01409e+00, -3.81731e+00, -2.62160e+00,
E                     8.10607e-01, -4.84405e+00, -1.80471e-01, -3.78598e+00, -2.79423e+00, -4.04523e+00, -2.75901e+00, -7.61540e+00, -6.32944e+00, -3.75033e+00, -4.79111e+00, -2.95583e+00, -1.16932e+00, -1.14426e+00,  4.14185e-01, -2.16896e+00, -2.28857e+00, -1.67540e+00, -2.39700e+00,  6.14701e+00,  6.32882e+00,  4.11294e+00,
E                     5.77303e+00,  1.39627e+00,  3.31428e-01,  8.02808e+00,  1.57548e+00, -1.15579e-02,  3.45660e-02, -7.45998e-01,  5.00043e-01, -1.54724e+00, -2.28471e+00, -3.63978e+00, -6.45263e-01, -2.24905e+00,  1.62230e-01,  4.60084e+00,  3.40560e+00,  7.12999e-02, -1.55524e+00,  5.01378e+00,  5.85072e+00,  1.54908e+00,
E                    -2.04446e+00,  2.41700e+00, -2.47982e+00,  1.29479e+00,  1.93266e+00, -2.78643e+00,  1.29565e+00,  2.86864e-01,  2.52815e+00,  4.35968e+00,  5.63671e+00, -6.13740e-01,  3.35446e+00, -2.73329e-01,  2.34495e+00, -1.33774e+00,  5.49580e+00,  4.51147e+00,  2.68915e-01,  1.14849e+00, -1.25633e-01,  1.11683e+00,
E                     6.36205e-02,  6.52298e+00,  2.46719e+00,  4.88188e-01, -3.32069e-01,  9.21248e+00,  1.64105e+00,  1.31878e+00,  1.99428e-01,  4.56769e+00,  2.18748e+00,  2.20871e-01, -2.41036e+00,  6.00546e-01,  3.00841e+00, -5.44438e-01, -1.29835e+00,  2.80784e+00,  1.96681e+00,  2.06045e+00,  7.70088e-01,  1.68747e+00,
E                     1.94774e+00, -7.90988e-01,  7.21264e+00,  9.00922e+00,  8.00757e+00,  2.35632e+00,  3.75436e+00,  5.73816e+00,  3.80810e+00,  6.54856e+00,  9.72282e+00,  1.00128e+01,  9.53048e+00,  2.39037e+00, -5.03767e-01,  5.11032e+00,  5.76084e-01,  1.54471e+00,  1.28566e+00,  3.56518e+00,  2.54502e+00,  1.48881e+00,
E                    -8.13055e-01, -2.74169e+00,  8.70891e-01, -5.85005e-01, -4.07664e-01,  3.26708e+00,  9.67679e+00,  8.99721e+00,  9.25854e+00,  1.40548e+00,  1.11828e-01,  2.65995e+00, -1.42232e+00,  1.11654e+00,  5.25660e+00,  9.92462e+00,  1.43552e+01,  1.18803e+01,  5.99991e+00,  1.01956e+01, -3.53848e-01,  8.29103e+00,
E                     6.00595e+00,  6.83472e-01,  4.19305e-01,  2.07772e+00, -5.59831e-01,  4.80299e+00,  9.00717e+00,  1.71133e+00,  2.30104e+00,  4.59906e+00,  3.64770e+00, -9.00761e-01,  8.60373e-01,  4.46470e+00,  2.85933e+00,  9.23908e+00,  3.40259e+00,  3.99399e+00,  3.76920e+00,  7.03088e+00,  3.90525e+00,  4.32768e+00,
E                    -3.02199e-01,  3.90643e+00,  1.58247e-01,  1.41270e+00, -2.04996e+00, -1.21538e+00,  1.46703e+00, -1.45804e+00, -1.57381e+00, -1.32626e+00,  9.27584e-02, -2.61797e+00, -1.49261e-01, -7.57176e-01, -5.35354e+00, -3.62087e+00, -2.32433e+00, -1.68231e+00, -3.75501e+00, -3.89407e+00, -7.92543e-01, -1.51612e+00,
E                    -5.72265e+00, -2.86943e+00, -7.28976e-01, -4.11006e-01, -7.20246e-01,  3.79146e-02, -1.02432e+00, -3.30161e+00, -3.57295e+00, -1.99177e+00, -1.67333e+00, -5.89706e+00, -5.35969e+00, -3.97500e+00, -3.65432e+00, -4.14908e+00, -2.90445e+00, -1.04454e+00, -2.68592e+00, -1.90655e+00, -2.34388e+00, -6.23553e-01,
E                     3.52245e+00,  6.27263e+00,  8.54300e+00,  5.06687e+00,  1.82728e+00,  4.67355e+00,  8.44763e-01, -1.95731e-02,  3.36904e+00, -1.02832e-01, -2.46117e+00,  2.41945e+00, -5.13522e-01, -3.54765e+00, -3.54702e+00,  2.03035e-01, -1.37660e+00, -2.60879e+00,  2.49460e+00, -2.39445e+00, -1.18649e+00, -4.99458e+00,
E                    -3.30724e+00, -4.20072e-01, -3.72380e+00,  5.38799e+00,  3.45668e+00,  1.03607e+00,  3.76733e+00,  4.14833e+00, -6.81579e-01,  2.97236e+00, -2.65246e-01,  8.08922e-01, -1.70066e+00, -2.04445e+00, -2.95456e+00, -3.26596e+00, -8.86992e-01, -3.30227e+00, -3.38063e-01,  1.25628e+00, -8.95351e-01,  1.45413e+00,
E                     9.49963e-01, -2.05071e+00, -4.40673e+00,  2.27962e+00, -6.85937e-01, -8.86513e-01,  1.51703e+00, -3.83884e-01, -4.07422e-01,  9.66862e-01,  1.25901e+00, -4.65545e+00, -6.37389e+00,  7.43626e-01, -1.33426e+00, -7.23488e-02, -2.04226e+00,  3.69999e-01, -3.56269e+00, -1.99302e+00, -1.86474e+00,  1.32009e+00,
E                    -3.76141e+00, -2.97092e+00, -1.02222e+00, -1.94345e+00, -2.99454e+00,  2.20731e-01,  1.72117e+00, -2.36592e+00, -1.26342e+00, -1.01041e+00, -4.05889e+00,  2.75121e-02,  1.44274e+00,  7.01320e-02, -3.45681e+00,  1.05210e+00,  3.51291e+00,  6.46613e-01, -1.44073e+00, -2.42699e-01, -3.51978e+00, -9.41753e-01,
E                    -1.02951e+00,  3.36028e-01,  2.00158e-01, -8.99752e-02,  2.26560e-01, -9.63236e-01, -1.76736e+00,  6.46725e-01, -3.37835e-02,  4.28020e+00,  5.32629e+00,  2.23845e+00, -3.55971e+00,  1.18068e+00,  4.59267e-02, -2.62707e+00,  1.07577e-01,  1.27953e+00,  1.57374e+00,  1.19309e+00, -2.44570e+00, -8.45548e-01,
E                     2.86234e+00,  2.88053e-01, -5.91784e-01, -9.32395e-01,  1.41942e+00, -1.08686e+00,  8.04675e-01,  2.60264e+00, -1.27232e+00, -7.72247e-01,  2.28086e+00, -1.48381e+00,  5.88486e-01, -9.08641e-01, -2.93502e+00, -1.50033e+00,  2.73658e+00,  2.91179e+00, -2.53029e-01, -1.10960e+00,  2.37988e+00,  7.60728e-01,
E                     5.42721e+00,  4.68972e+00, -1.31553e-01, -8.01223e-01, -3.11586e+00, -4.04639e+00,  6.56569e-01,  2.04620e+00,  2.71524e+00,  2.04415e+00,  1.98684e+00, -1.43628e+00, -2.05047e+00, -1.62284e+00, -7.07518e-01,  6.16736e-01,  2.58734e+00,  2.18431e+00, -6.18089e-01, -1.95657e+00, -8.57682e-01,  7.18752e-01,
E                     2.18518e+00,  2.92758e-01, -2.91599e+00,  4.77296e-01,  2.07844e+00,  4.07714e+00, -2.41954e-01,  1.30477e+00, -5.06367e-01, -3.40889e-01,  6.66649e-01, -1.14529e+00,  1.21967e+00, -1.64758e+00,  1.02444e+00, -1.27495e-02, -3.87297e+00,  1.39273e+00,  3.10802e+00,  2.17663e+00,  1.23978e-02,  8.33462e-01,
E                     6.34744e-01,  6.48020e-01,  1.82215e+00, -2.76081e+00, -3.68701e+00,  1.37469e+00,  9.18050e-02,  8.26017e-01, -1.51244e+00,  2.26732e+00,  1.31425e-01, -2.90913e+00, -1.59613e-01,  2.58897e+00, -1.24472e+00, -1.28647e+00,  5.83379e+00,  1.68954e+00, -2.05486e-01, -1.02115e+00, -2.45524e+00, -5.09356e-01,
E                    -5.29740e-01, -4.59868e-01,  2.64992e-01, -2.91622e+00, -3.02217e+00,  2.25639e-01,  1.55818e+00, -1.25847e-01, -1.81321e+00,  2.35015e+00, -3.32094e+00,  4.95657e+00, -4.95097e+00, -7.45662e-01,  2.15712e+00,  7.65377e-01,  2.06617e+00,  1.62656e+00, -1.21989e-01, -4.36373e+00, -2.19407e+00, -3.07872e-01,
E                    -3.82384e+00, -1.65799e+00,  4.34109e+00,  2.70135e-01, -3.55981e-01, -2.53634e-01, -4.98096e-01,  2.29591e+00,  2.24546e+00,  8.49550e-01, -9.56319e-01, -1.09286e-02,  2.01182e-01,  6.26143e-01, -2.07276e+00, -2.89023e+00,  1.55479e+00,  7.25482e-01, -1.02857e+00,  4.46158e-02, -1.03282e+00, -6.10019e-02,
E                     8.57330e-02,  2.32759e+00,  2.55496e+00,  1.47732e+00, -2.13790e+00,  8.26316e-01,  9.05366e-01,  5.87172e-01,  1.40466e-01,  1.28803e+00, -1.24474e+00, -3.02603e+00,  1.34785e+00,  6.53784e-01,  1.02723e+00,  1.37672e+00,  1.03193e+00,  4.77788e-01,  5.23492e-01, -8.82690e-01, -1.49619e+00, -1.18236e+00,
E                     1.10735e+00, -2.25323e+00,  2.13822e+00,  9.73069e-01, -1.00835e+00, -1.65748e+00, -9.59249e-04,  1.66270e+00, -2.15139e+00, -2.37094e+00, -3.41003e+00, -5.29280e-01,  1.92589e-01, -8.06495e-01,  1.65680e+00, -5.17264e-01, -1.58376e-01, -8.97157e-01, -4.58294e+00,  1.46749e+00, -4.52012e-01,  1.24362e+00,
E                     6.01408e-01, -3.86486e-01, -1.74199e+00, -1.57917e+00,  9.38210e-01,  4.24963e+00,  1.19790e+00, -2.41321e-01, -3.23783e+00, -1.09537e+00, -9.65199e-02,  1.86827e+00,  1.12840e+00,  2.08596e+00,  9.51670e-01,  1.84030e+00,  2.53472e-01,  1.85670e-01, -1.28116e+00, -6.69356e-01,  2.05219e+00,  1.43417e+00,
E                    -2.28789e-01, -8.08573e-01,  1.97373e+00,  1.19510e+00, -8.69910e-01, -6.70255e-01,  5.40587e-01, -4.61096e-01,  2.65573e+00, -1.30247e+00, -1.65417e+00, -1.31557e+00,  3.23691e-01, -5.43705e-01,  1.66660e+00,  4.57005e+00, -2.35732e+00,  1.24695e+00,  1.19967e+00,  4.06858e+00, -7.75705e-03, -1.13267e+00,
E                     1.31388e+00, -3.54170e-01, -6.16007e-01, -3.99559e+00,  1.63355e+00, -1.02020e+00, -4.57157e-01,  5.77601e-01, -3.49848e+00, -1.15593e-01, -4.94871e-01,  6.69629e-01, -6.26999e-01,  1.04414e+00,  3.05089e+00, -3.12074e-01,  2.76490e+00,  6.27012e-01, -1.79780e+00, -2.06359e+00,  6.78596e-01,  1.01966e-01,
E                    -1.07051e+00,  3.05273e-01, -1.75756e+00,  1.19120e+00, -2.56497e+00, -2.03949e+00, -2.33848e-02, -6.67420e-01, -1.31962e+00, -1.54732e+00,  1.44451e+00,  4.84654e-01, -2.85968e-01,  2.05734e+00,  1.88367e+00, -4.48858e-01, -5.98434e-01,  1.49612e+00,  4.27093e+00,  4.71936e-02, -3.97288e+00,  1.68663e+00,
E                     1.18382e-01, -2.19006e+00, -1.45642e+00,  6.34946e-01, -6.92243e-02, -1.15402e-01, -2.67472e+00, -1.87545e+00, -3.32481e-02, -1.38868e+00, -5.82387e-01, -2.63320e+00,  2.90772e+00,  7.79761e-01,  1.21039e+00,  1.81615e+00, -1.21513e+00,  1.00076e+00,  2.19551e+00,  3.83049e+00, -1.83971e+00,  5.74373e-01,
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E                     4.81482e-01,  3.40090e+00,  1.94660e+00,  4.39692e+00,  3.10255e+00,  1.87068e+00,  2.32259e+00, -1.77577e+00,  4.59907e+00, -3.10568e-01,  2.55225e+00, -4.30053e-01,  1.16633e+00,  3.74234e+00, -3.32024e+00,  2.98634e+00,  2.39913e+00,  1.81630e+00,  6.28334e-01, -3.06314e+00,  1.38318e+00,  2.34458e-01,
E                     4.57028e-01, -5.20953e-01, -6.35400e-01, -2.31047e+00, -9.39562e-02,  4.70819e-01, -4.45293e-01,  3.73708e-01, -1.81740e+00, -1.61518e+00, -3.71391e-01, -5.78840e-01,  1.75450e+00,  7.75873e-01, -7.83124e-02,  1.63725e-02, -2.99570e+00,  1.50966e+00, -1.95887e+00, -2.14574e+00,  8.61468e-01,  1.37312e+00,
E                     4.83852e+00,  1.18946e+00, -5.16686e-02, -6.91855e-01, -2.40000e+00,  2.24518e+00, -2.88159e+00,  2.96040e-01, -2.48732e-02, -1.63653e+00,  5.41081e-01,  7.91940e-01, -4.73065e-01,  3.37873e+00,  3.11707e-01, -4.77056e-01,  4.79926e-01, -2.13514e+00, -1.18424e+00,  2.87608e+00, -2.51284e+00,  6.74748e-01,
E                     4.23046e-01, -1.51124e-01, -2.40455e-01,  2.60858e+00,  2.25901e+00, -1.31912e+00, -1.45852e+00, -1.78578e-01,  2.49357e-02,  3.61630e+00,  1.19348e+00,  1.52264e+00,  1.14157e+00,  1.37936e+00,  1.22836e+00, -3.15862e+00,  1.87305e+00,  5.64971e-01,  3.54416e-01,  3.75913e+00, -7.56526e-01,  1.45212e+00,
E                     9.27281e-01,  1.79279e+00,  1.30858e+00,  3.32803e-01,  2.50210e+00,  1.23596e-01, -1.98368e+00, -1.92122e+00,  2.23891e+00,  1.77696e+00, -1.02506e+00,  1.11540e+00, -5.66500e-01,  8.54595e-01, -9.24510e-01,  1.71753e+00,  5.54641e+00, -1.13964e+00, -1.05080e+00,  9.45478e-01, -1.12477e+00, -4.11785e+00,
E                    -1.50014e+00, -2.44400e+00, -2.24604e+00,  2.95256e-01,  6.09250e-02, -6.56179e-02, -3.68116e-01, -3.94570e+00, -2.57745e-01,  1.07568e+00,  2.72177e-01,  1.29590e-01,  2.98340e+00,  1.56006e+00, -1.31208e+00, -3.41888e+00, -4.81141e+00, -7.66845e-02,  2.96414e+00, -1.49302e+00, -1.40221e+00,  3.68782e+00,
E                     2.25553e+00,  2.37019e-01,  3.84003e+00, -5.73657e-01, -2.97128e+00, -1.82381e+00, -2.46958e-01, -5.48351e+00, -1.76532e+00, -1.33884e-01, -3.17023e+00, -1.58370e+00, -6.36248e-01, -4.97448e-01, -1.84033e+00,  1.05198e+00,  1.66802e+00,  1.84751e+00,  4.03322e+00,  1.39178e+00, -3.27774e+00, -4.60161e-01,
E                     1.07439e+00, -3.88414e-01,  2.36370e+00, -5.52343e-02, -1.57735e-01,  1.78938e+00,  8.53789e-01,  6.78411e-01,  7.22381e-01,  7.05375e-01,  3.45698e+00,  3.37628e-01, -1.27322e+00, -1.60139e+00, -1.11999e-01, -5.02473e+00, -9.63712e-01, -2.98707e-01, -5.21676e-01, -2.24254e+00, -3.03189e+00, -1.81198e-01,
E                    -1.82739e+00, -2.91845e+00, -5.32064e+00, -4.16866e-01, -1.14708e+00,  4.02391e+00,  1.61608e+00, -7.26020e-01,  2.20939e+00, -3.86335e+00, -2.60264e-01,  1.39070e+00,  2.04125e+00,  1.43102e+00, -5.53953e-01,  8.47625e-01,  1.25565e+00, -2.36361e+00,  5.48996e-01,  2.35566e-01, -2.19978e+00, -3.36307e+00,
E                    -2.39221e+00, -1.70419e+00,  2.60868e+00,  1.61073e+00, -3.42918e-01, -4.97241e-01, -3.18728e+00, -4.10489e-01, -1.39266e+00, -3.39779e-01, -1.30940e+00,  3.42623e-01,  2.98698e+00, -1.03353e+00, -5.05796e-01,  7.12992e-01, -1.37827e+00, -2.24818e+00, -3.89993e+00, -2.03633e+00,  1.12125e+00, -4.87752e+00,
E                     3.29493e-01,  1.51325e+00,  1.15633e+00,  2.05706e+00,  5.92647e-01, -3.99870e+00, -7.22731e-01,  2.93647e+00, -1.78056e+00,  1.80604e+00, -2.99153e-01, -1.33545e+00,  4.03283e-01,  1.82474e-02, -1.70637e-01, -2.50457e+00, -2.34893e-01, -5.10130e-01, -7.88505e-01,  1.98752e+00, -2.59388e-01, -2.73699e+00,
E                     6.93503e-01, -1.76282e+00, -5.11184e-01, -6.83316e+00, -4.15623e+00, -2.58312e+00, -1.42743e+00, -3.07661e+00,  1.66521e+00,  3.33175e+00]], grad_fn=<AddmmBackward0>), compiled_model=tensor([[ 1.07934e+01, -1.42825e+00,  6.80889e-01, -2.16976e+01,  9.42372e+00,  1.03126e+00, -6.63278e+00,  3.80385e+00,  7.47988e+00,  7.51046e+00, -1.88193e+01, -2.84030e+01, -1.56072e+01, -2.30762e+01, -2.28622e+01, -2.69568e+01, -4.15911e+01, -8.05853e-01, -1.52594e+01, -2.20832e+01, -7.88845e+00, -2.09283e+01,
E                    -3.21068e+01, -2.88225e+00, -1.03179e+01, -4.08786e+00, -1.07736e+01, -4.37743e+00,  6.82849e+00,  1.85384e-01, -1.30685e+00, -1.35596e+01, -1.57289e+00, -1.36034e+01, -2.02051e+00, -2.27165e+00,  1.13775e+01,  9.90267e-01,  1.31126e+01,  9.50972e+00, -1.62344e+01, -2.50138e+00, -5.76400e+00, -2.77524e+00,
E                     1.30687e+00,  1.85868e+01, -8.22169e+00,  1.16371e+01, -2.57259e+00, -1.84177e-01, -1.49019e+00,  2.76009e+01, -1.00064e+01, -1.30081e+01, -4.01932e+00, -1.63873e+01,  4.86191e+00, -1.24103e+01,  1.53095e+00, -2.56681e+01, -6.48947e+00, -4.33848e+00,  2.27067e-01, -9.61612e+00, -6.95336e+00, -1.35544e+01,
E                    -6.32216e+00, -4.26987e+00, -1.05604e+01,  1.08817e+01, -1.56271e+01,  7.46706e+00,  3.77470e-01, -3.17325e+00, -6.23884e+00, -1.52006e+01,  7.74787e+00, -8.92174e+00,  1.90102e+00, -1.65178e-01,  4.27849e+00, -1.43560e+01,  6.52739e-01, -9.41870e+00,  3.48334e+00, -1.34172e+01,  3.74911e+00,  5.42887e-01,
E                    -3.85896e+00, -2.97388e+00, -1.75072e+01, -1.00392e+01, -2.62838e+01, -6.83419e+00, -1.96288e+01, -2.89804e+01, -1.02985e+01, -1.83972e+00, -1.62796e+01, -4.46097e+00,  1.32010e+00,  7.45819e+00,  3.58203e+00, -3.20734e+00,  5.07016e+00,  6.64976e+00,  8.98444e-02,  1.81507e+00, -6.06347e+00,  1.31938e+00,
E                    -1.02350e+01, -1.05613e+01,  8.27015e+00, -4.61632e+00, -7.22087e+00, -9.50339e+00,  6.39616e+00,  1.17348e+00,  7.31770e+00, -5.04790e+00, -9.42041e+00, -8.64721e-01,  1.39901e+01, -9.65157e+00,  3.63022e-01, -2.76045e+00, -3.01600e-01, -1.03276e+01, -1.33743e+01, -3.68911e+00, -2.44139e+00, -4.69743e+00,
E                    -1.16648e+01, -2.27189e+01, -6.13059e+00, -1.03166e+01, -3.23130e+00, -1.54834e+01, -1.68795e+01, -2.57993e+01, -2.07478e+01, -2.28674e+01, -3.22725e+01, -1.56509e+01, -1.77091e+00, -8.45826e+00, -5.13861e+00,  3.26288e-01,  9.41531e+00,  3.57675e+00,  1.29276e+01,  9.80118e+00, -1.35783e+01,  8.55642e+00,
E                     1.16043e+01,  6.67361e+00, -5.19704e+00, -6.29652e+00, -7.40904e+00, -8.34718e-01,  6.41813e+00, -1.01646e+00, -5.21792e+00,  2.41402e+00,  4.93881e+00, -8.49909e+00,  1.11906e+00, -3.12913e+00,  3.20679e+00,  1.25503e+01,  3.72564e+00,  1.18754e+01,  6.90369e+00,  1.29618e+01, -1.00566e+00, -1.46611e+00,
E                     7.91149e+00,  1.22154e+01,  7.18436e+00, -1.06766e+01, -7.97222e+00,  6.39860e+00, -2.80849e+00,  8.22865e+00,  3.46851e+00,  1.84147e+01,  3.45795e+00, -5.96755e+00, -1.26365e+00, -6.64855e-01,  1.28131e+01, -4.43052e+00, -3.73994e+00, -4.53285e-01,  2.94203e+00, -1.08700e+01,  5.46449e+00, -9.12692e-01,
E                     7.16708e-02,  1.40524e+01,  8.78211e+00,  1.86042e+00,  9.59531e+00,  1.02112e+01,  9.05662e+00,  5.37729e+00,  1.79132e+00, -2.57747e+00,  4.43614e+00, -4.47278e+00,  6.26399e+00,  7.71691e+00, -8.53857e+00, -1.09826e+01, -5.94976e+00,  5.40353e+00, -4.86904e+00, -1.04918e+01, -7.65654e+00, -1.04289e+01,
E                    -1.01005e+01, -5.58288e+00,  1.94590e+01,  2.66822e+00, -1.73901e+00, -4.43957e+00,  9.79912e-01,  1.17317e+01,  1.82386e+01, -1.15333e+00, -1.61596e+01, -6.20833e+00,  1.41616e+00, -1.88480e+00, -5.26668e+00,  5.50843e+00, -3.87694e+00, -2.84644e+00, -1.04347e+01, -1.04477e+01, -1.21502e+01, -1.23477e+01,
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E                    -1.16958e+01, -1.30854e+01,  6.85680e+00,  1.43632e+00, -4.22766e+00,  1.77498e+01,  3.31612e-01, -2.07161e+01, -1.12096e+01,  6.49912e+00,  1.48873e+00, -8.05180e+00,  1.47345e+01, -3.03743e+00, -1.83568e-01,  9.82776e+00,  1.31025e+01,  3.65840e+00,  8.71909e+00,  5.85808e+00, -1.60983e+01, -2.96724e+00,
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E                     1.01079e+01, -3.67405e+00, -4.95200e+00,  6.97210e+00,  1.09983e+01,  2.74206e+00,  5.41515e+00,  2.37554e+01, -2.64287e+00,  1.13412e+01,  8.86684e+00, -1.89964e+00,  2.00605e+00, -5.97688e+00, -1.21453e+01, -1.41075e+00,  9.85428e+00,  8.47613e+00,  2.22308e+00,  8.90882e+00,  3.61923e+00,  7.95366e+00,
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E                    -2.02409e-01,  1.45115e+01, -2.84797e+00,  9.04944e+00,  3.32228e+00, -7.15084e-01,  3.10776e+00, -7.08568e+00, -1.77648e+01, -1.69278e+01,  1.97418e+01, -4.01379e+00,  9.74089e+00, -6.77706e+00, -1.72238e+01,  1.06695e+01, -1.76556e+01,  8.19403e+00,  4.22956e+00,  9.01497e+00,  2.15249e+00,  9.77026e+00,
E                     1.56573e+01, -1.01094e+01,  9.30142e+00,  7.53393e+00,  8.26798e+00, -7.82280e+00, -1.26375e+00, -2.94871e+00,  6.70007e+00,  4.53635e+00,  2.20385e+01, -1.17570e+01,  1.33599e+01, -3.49689e+00,  1.62222e+01,  4.72483e+00, -2.26270e+00,  5.38998e+00,  6.86319e+00, -6.73849e+00, -7.32059e-01, -7.28558e-01,
E                     2.37181e+01,  2.09227e+01,  6.27882e+00, -9.28854e+00, -3.21580e+00,  5.68723e-01,  1.73858e+01,  5.37406e+00,  1.16763e+01, -2.17057e+00, -8.63954e+00,  1.13593e+01, -1.41295e+00,  1.22297e+01, -2.89206e+00,  1.29731e+01,  2.48014e+01,  2.66082e+01,  1.70199e+01,  1.18486e+01, -1.17713e+01, -8.26358e+00,
E                     3.25659e-01,  1.92123e+00, -6.69955e+00, -9.60441e+00, -1.69631e+00, -1.31336e+01,  1.77108e+01,  1.32315e+01,  4.80806e+00, -3.76090e+00,  7.71530e+00, -1.11723e+01,  9.95977e+00, -2.23118e+01,  1.71359e+00,  6.22328e+00,  1.60809e+01,  1.30658e+01, -6.26846e+00, -1.49636e+01,  2.76725e+00,  7.95587e+00,
E                     1.83831e+00, -9.21107e+00, -9.47437e+00, -8.15330e+00, -3.52432e+00,  1.32684e+01,  2.76094e-01,  9.79375e+00,  5.09487e+00, -6.64951e+00,  4.58466e+00,  1.26530e-01,  8.59148e+00,  3.55441e+00,  4.85897e-01,  4.61272e+00, -5.19187e+00,  1.70837e+01,  5.25556e+00,  1.33988e+01,  1.52242e+01, -1.00366e+01,
E                     5.16282e+00, -1.97171e+00,  1.56060e+01,  2.19050e+00, -1.10839e+01, -1.51163e+01,  4.66127e+00,  4.18705e-01, -2.73921e+00, -2.41195e+00,  3.12925e+00,  6.55535e+00,  1.20412e+01,  7.25987e+00, -6.38865e+00, -3.28876e+00,  1.90415e+01,  1.12987e+01, -2.12098e+00,  1.66085e+01,  2.22022e+01,  4.32825e+00,
E                     6.98524e+00,  1.29862e+01,  6.27306e+00,  1.91384e+00,  9.05662e+00,  2.67344e+00, -3.42274e+00, -5.61910e+00, -7.91026e+00, -2.00624e+00,  4.12640e+00, -1.61055e+00,  2.54004e+00,  5.25398e+00, -5.03534e+00,  7.59512e+00,  6.00473e-01,  6.79437e+00,  1.31985e+01,  1.55398e+01,  1.03072e+01, -2.06830e+00,
E                     8.31218e+00,  8.37525e+00, -1.66717e+00,  1.62214e+00,  6.32240e+00,  4.78988e+00,  9.96627e-01, -7.33789e+00,  1.27381e+01, -1.75464e+00, -1.04049e+01, -4.15517e+00,  5.25446e+00,  6.93338e+00,  2.15366e+01,  1.69487e+01, -7.51969e+00, -3.26668e+00,  6.49438e-01,  1.14236e+00,  1.59820e+01,  1.07736e+01,
E                     1.16337e+01, -7.12970e+00, -2.68416e-01, -1.92437e+01,  4.21732e+00,  9.39134e+00,  1.41472e+01, -2.37573e+00, -1.75047e+01,  8.94568e+00,  7.91460e+00,  7.76438e+00,  1.54678e+01,  9.69696e+00, -1.91733e+00, -5.75325e+00,  4.40581e+00, -2.75195e+00, -2.23019e+00, -5.73268e+00,  7.97939e+00,  6.84020e+00,
E                    -1.28959e+01, -1.33014e+00,  1.21265e+01, -1.01189e+01, -5.26384e-01,  2.16980e+01, -1.59771e+00, -1.62992e+00,  5.29124e+00,  2.36602e+01, -8.04969e-01,  5.30173e+00,  1.11644e+01, -2.44776e+00,  1.51315e+01,  4.88615e+00, -8.54716e+00,  3.10189e+00,  6.86896e+00, -2.96875e+00, -3.74295e+00,  4.48296e+00,
E                    -6.69634e+00,  9.66562e+00,  8.53802e+00,  1.40962e+01, -2.77775e+00, -3.93172e+00, -3.45734e-01,  1.68619e+00,  1.54159e+01,  5.38040e+00,  6.24872e+00,  6.68222e+00,  2.39239e+00, -9.61282e+00, -1.08498e+01,  4.74722e+00,  4.64750e-01,  1.35537e+00,  5.43129e+00,  1.41551e+01,  8.53213e+00, -1.23292e+00,
E                     3.88063e-01, -1.64155e+01,  1.35182e+01, -4.80001e+00,  3.70547e+00,  4.16486e+00, -1.37287e+01,  8.67153e+00, -2.18628e+01,  1.30054e+01, -1.17433e+00,  9.86326e+00,  7.38453e+00,  2.54424e+01,  1.96853e+01, -4.58339e-01,  4.29798e+00, -2.80500e+00,  8.39496e+00,  5.55284e-01,  1.60916e+01,  1.33406e+01,
E                     5.85067e+00,  4.54200e+00,  1.51489e+00, -6.72330e+00, -7.76737e+00,  2.24953e+01,  1.12857e+01,  1.21022e+01,  7.78498e+00,  6.70732e+00,  5.32267e+00, -1.19966e+01,  4.64745e+00,  1.16737e+01,  1.50417e+01, -1.40475e+01,  2.51281e+00,  5.74437e+00,  1.02386e+01, -4.32668e-01,  1.06818e+01, -4.41207e+00,
E                     1.21094e+01,  9.56127e+00,  9.14420e+00, -8.51091e+00,  7.06499e+00,  6.41045e+00, -1.51224e+00, -1.25417e+01,  1.42662e+01, -1.27165e+01,  1.09623e+01,  4.93183e+00,  2.43846e+00,  1.43250e+01,  9.34760e+00, -1.34052e+01,  5.12577e+00,  2.12391e+01, -7.60034e-01,  2.53749e+00,  1.25092e+00, -3.05180e+00,
E                     8.81712e+00,  7.07296e+00, -1.13886e+01, -1.66288e+01,  7.95991e+00, -1.07631e+00, -1.92386e+00,  1.87611e-01, -3.55139e+00, -2.21688e+00,  6.98418e+00,  1.36227e-01,  4.73697e-01,  1.02251e+01,  5.84449e-01,  6.27420e+00,  1.12302e+00, -4.08724e+00,  1.59261e+01,  1.04820e+01, -1.12074e-01,  1.11042e+01,
E                    -3.13222e+00, -8.43818e+00,  2.11933e+01, -7.61613e+00,  5.82220e+00,  9.14420e-01, -8.01152e+00, -1.66913e+01,  3.07817e+01,  1.43077e+01,  1.66840e+00, -2.78709e+00,  1.53662e+01,  2.55240e+01, -6.70087e-01,  4.90795e+00,  7.20263e+00,  5.66913e+00, -1.91847e+01, -5.44863e+00, -5.97425e-01,  4.49565e+00,
E                     1.24857e+01,  6.66384e+00,  2.57227e+00, -9.91062e+00,  2.31273e+01,  7.06192e+00,  1.30514e+01, -4.42507e+00,  3.13054e+00,  9.35887e+00,  2.81796e+00,  1.41945e+01,  1.86189e+01,  9.34283e+00,  1.06582e+00,  7.18688e+00,  4.34623e+00, -5.70420e+00, -7.23564e+00, -1.53195e+01,  1.90429e+00, -1.37998e+01,
E                     3.28091e+00, -1.01139e+01,  1.54852e+01, -2.04503e+00, -1.07182e+00,  5.52365e+00, -5.63002e+00, -4.04891e-01,  1.33292e+01, -4.82324e+00,  1.75400e+00, -1.71911e+00,  1.05834e+01,  5.35600e-01, -4.33583e+00, -1.64279e+01, -4.29590e+00, -9.74174e+00,  3.12066e+01, -4.44642e+00,  2.10402e+01,  1.30491e-01,
E                     8.74452e+00,  8.31413e+00,  3.67397e+00, -1.28413e+01, -7.11421e+00, -7.56108e+00, -1.16043e+00,  1.63282e+00, -1.61710e+01, -4.28396e+00,  1.06683e+01,  6.28990e+00,  2.50158e+00,  9.11761e+00, -1.23584e+01,  1.77092e+00,  5.64048e+00,  8.43841e+00,  7.41952e+00,  9.77232e+00, -1.45070e+01, -5.51368e+00,
E                    -3.70589e+00, -5.09497e+00,  4.01347e+00, -2.01554e+00, -3.27503e+00,  1.37258e+01, -2.29248e+01,  1.29494e+01, -4.48828e+00,  1.18752e+01, -2.89409e-01, -1.06456e+01,  6.79637e+00,  6.38253e+00,  2.42162e+00,  5.70267e+00,  1.30586e+01,  1.32237e+00, -1.02405e+01,  5.47796e+00,  6.01259e-01,  8.95209e+00,
E                     4.40419e+00,  5.06470e+00,  1.16977e+00,  4.23169e+00,  1.54790e+00,  2.05068e+01, -1.03440e+01, -6.47366e+00,  8.82393e+00, -1.05906e+01,  7.82031e+00,  2.20510e+00, -1.04025e+01,  3.50168e+00,  1.05723e+01,  3.14590e+00, -1.41622e+01, -1.26334e+01, -8.60871e+00, -1.54004e+00, -5.69768e+00, -9.64570e+00,
E                    -2.59790e+01,  4.66667e+00, -5.48569e+00, -2.16279e+01, -1.60976e+01, -2.14537e+01, -1.89427e+01, -1.76423e+01, -2.01198e+00, -1.15235e+00,  1.23075e+00, -3.43353e+00, -1.50913e+01, -4.21128e-01,  2.09841e+01,  1.72619e+01, -3.52945e+00, -4.82023e+00, -1.75235e+01,  2.97412e+00,  9.53197e+00, -7.94875e+00,
E                    -1.03547e+00, -6.76911e+00,  4.57491e+00,  4.59516e+00, -1.27455e+01, -7.20686e+00, -1.07011e+00,  3.89348e+00, -2.00338e+01,  1.70367e+00, -4.90001e-01, -1.34218e+01,  4.14909e+00,  1.33438e+01,  7.66486e-01, -1.42561e+01, -1.25045e+01, -2.15432e+01, -2.84470e+01,  7.10455e+00, -1.40803e+00, -3.20030e+00,
E                    -1.45640e+01, -9.02954e+00, -5.91428e+00,  5.23481e+00, -6.04370e+00,  1.99762e+00,  3.01789e+00, -3.18623e+00, -1.84351e+00, -2.15348e+00]])

/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/value_checkers.py:38: ValueError

variant = 'microsoft/resnet-50'
record_forge_property = <function record_property.<locals>.append_property at 0x7f57fc2bf250>

    @pytest.mark.push
    @pytest.mark.nightly
    @pytest.mark.parametrize("variant", variants, ids=variants)
    def test_resnet_hf(variant, record_forge_property):
        random.seed(0)
    
        # Record model details
        module_name = build_module_name(
            framework=Framework.PYTORCH,
            model="resnet",
            variant="50",
            source=Source.HUGGINGFACE,
            task=Task.IMAGE_CLASSIFICATION,
        )
        record_forge_property("model_name", module_name)
    
        # Load tiny dataset
        dataset = load_dataset("zh-plus/tiny-imagenet")
        images = random.sample(dataset["valid"]["image"], 10)
    
        # Load framework model
        framework_model = download_model(ResNetForImageClassification.from_pretrained, variant, return_dict=False)
    
        # Compile model
        input_sample = [torch.rand(1, 3, 224, 224)]
        compiled_model = forge.compile(framework_model, input_sample)
    
        # Verify data on sample input
>       verify(input_sample, framework_model, compiled_model, VerifyConfig(value_checker=AutomaticValueChecker(pcc=0.95)))

forge/test/models/pytorch/vision/resnet/test_resnet.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/verify.py:333: in verify
    verify_cfg.value_checker.check(fw, co)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <forge.verify.value_checkers.AutomaticValueChecker object at 0x7f591d0a4460>
fw_out = tensor([[ -9.24708,  -8.18430,  -6.78761,  -6.54012,  -4.47604,  -6.87390,  -6.26974,  -8.67000,  -7.19078,  -8.30686,...09,  -8.74960, -11.19685,  -9.58691,  -8.81062,  -9.90344, -10.29030,  -8.98582,  -5.84456]], grad_fn=<AddmmBackward0>)
co_out = tensor([[ -881.58142,  -791.50531,  -905.70557,  -854.26721,  -913.69952,  -694.51062,  -761.01355,  -766.85468,  -681...  -913.41437,  -827.77942,  -890.09125,  -789.72235,  -823.29315,  -808.73395,  -758.84521,  -738.20972,  -714.17676]])

    def check(self, fw_out, co_out):
        if not compare_with_golden(fw_out, co_out, self.pcc, self.rtol, self.atol, self.dissimilarity_threshold):
>           raise ValueError(
                f"Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model={fw_out}, compiled_model={co_out}"
            )
E           ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[ -9.24708,  -8.18430,  -6.78761,  -6.54012,  -4.47604,  -6.87390,  -6.26974,  -8.67000,  -7.19078,  -8.30686,  -9.13153,  -7.52600,  -7.09489,  -8.61791,  -7.87795,  -7.62299,  -7.76021,  -9.23480,  -5.97505,  -7.21594,  -9.61320,  -6.09296,  -6.77291,  -6.57689,  -8.11083,  -9.68987,  -8.46048,  -9.49927,
E                     -9.87194,  -7.53891,  -8.91453, -10.06172, -10.70569,  -4.57201,  -2.46377,  -8.57417,  -7.26331,  -9.45902,  -6.99710,  -7.27956,  -7.55438,  -7.89714,  -7.02835,  -8.06340,  -7.63714,  -7.30914,  -7.32336,  -7.98051,  -9.28422,  -9.73913,  -8.05676,  -9.37079,  -7.89198,  -8.50353,  -7.61672,  -8.36860,
E                     -8.41809,  -7.27384,  -6.14338,  -6.81280,  -8.68929,  -7.92958,  -7.64801,  -8.55215,  -6.81620,  -3.65008,  -6.84912,  -6.80301,  -5.23851,  -7.23478,  -7.71487,  -6.57068,  -8.06904,  -7.86490,  -7.93245,  -7.20984,  -7.25276,  -7.65262,  -6.09347,  -6.38592,  -8.06412,  -9.37434,  -7.73910,  -7.77510,
E                     -8.13971,  -7.28441,  -8.96021,  -7.50725,  -6.34615,  -5.43614,  -8.43395,  -7.70063,  -5.35109,  -7.59096,  -6.79203,  -8.71080,  -6.77840,  -8.93360,  -7.79349,  -5.21742,  -7.21855,  -8.52657,  -5.90776,  -6.38157,  -7.64046,  -9.44722,  -7.24647,  -3.06126,  -9.30187,  -6.38000,  -8.36738,  -6.06825,
E                     -4.78212,  -8.48472,  -6.62649, -10.02834,  -6.62240,  -6.82692,  -8.05271,  -6.04778,  -6.39239, -10.02446, -10.09824,  -8.80964,  -9.27728,  -4.86225,  -6.53039,  -8.16803,  -6.39698,  -6.95135,  -9.61629,  -7.40523,  -5.79703,  -5.98446,  -7.18825,  -9.20038,  -7.51728,  -6.89382,  -6.01558,  -6.50932,
E                     -5.82494,  -6.71960,  -7.73234,  -5.91527,  -7.95080,  -7.44084,  -6.11976,  -6.48666,  -5.68459,  -8.20802,  -6.39179,  -6.66896, -10.40234,  -8.18556,  -8.63924,  -8.57172,  -8.82473,  -8.13429,  -8.72134,  -8.25156,  -9.86189,  -8.31225,  -6.13092,  -8.42904,  -8.93045, -11.25639,  -9.17498,  -9.59383,
E                     -6.39049,  -7.45753,  -7.64049,  -5.89617,  -8.16930,  -7.99661,  -8.48513,  -8.99120,  -9.36043,  -9.33060,  -7.44484,  -9.33358,  -7.99973,  -9.49345,  -6.70734, -10.27309,  -8.24018,  -7.68569,  -8.77661,  -7.45149, -10.50189,  -7.98926,  -8.43024,  -8.64356,  -7.50802,  -9.62045,  -8.94260,  -7.47649,
E                     -8.34196,  -8.07691,  -9.17182,  -8.64575,  -9.33962,  -8.41475,  -7.38665,  -7.95625,  -6.63927,  -8.82166,  -9.86607,  -7.82786,  -8.06605,  -7.78130,  -7.65755,  -8.95777,  -8.53917,  -7.38430,  -9.93288,  -7.70834,  -8.97830,  -6.53091,  -7.64945,  -7.69660, -10.36940,  -9.58894, -10.38667,  -9.39544,
E                     -9.62046,  -8.16733,  -9.61956,  -8.07844, -10.28709,  -9.60109,  -9.60255,  -7.65699,  -9.05546, -10.38870,  -9.57900,  -8.50027,  -5.98850,  -8.91005,  -7.07867,  -9.87904,  -8.22040,  -9.08337,  -6.85971,  -8.75927, -10.16900,  -6.55107,  -9.21630,  -9.60778,  -8.71106,  -8.99841,  -9.01425,  -6.77017,
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/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/value_checkers.py:38: ValueError