record_forge_property = <function record_property.<locals>.append_property at 0x7f3e31675b40>
variant = 'dandelin/vilt-b32-finetuned-vqa'

    @pytest.mark.nightly
    @pytest.mark.push
    @pytest.mark.parametrize("variant", variants, ids=variants)
    def test_vilt_question_answering_hf_pytorch(record_forge_property, variant):
        # Build Module Name
        module_name = build_module_name(
            framework=Framework.PYTORCH, model="vilt", variant=variant, task=Task.QA, source=Source.HUGGINGFACE
        )
    
        # Record Forge Property
        record_forge_property("model_name", module_name)
    
        framework_model, inputs, model = generate_model_vilt_question_answering_hf_pytorch(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/multimodal/vilt/test_vilt.py:76: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/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 0x7f3e6d5448b0>
fw_out = tensor([[-15.94954, -18.14717, -10.30408,  ..., -18.44842, -16.88827, -18.82108]], grad_fn=<AddmmBackward0>)
co_out = tensor([[-10.35682, -12.21721,  -6.91724,  ..., -13.74564, -12.73332, -15.49978]])

    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([[-15.94954, -18.14717, -10.30408,  ..., -18.44842, -16.88827, -18.82108]], grad_fn=<AddmmBackward0>), compiled_model=tensor([[-10.35682, -12.21721,  -6.91724,  ..., -13.74564, -12.73332, -15.49978]])

/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 0x7f3f14078430>
variant = 'mobilenet_v3_large'

    @pytest.mark.nightly
    @pytest.mark.parametrize("variant", variants)
    def test_mobilenetv3_basic(record_forge_property, variant):
        if variant != "mobilenet_v3_large":
            pytest.skip("Skipping due to the current CI/CD pipeline limitations")
    
        # Build Module Name
        module_name = build_module_name(
            framework=Framework.PYTORCH,
            model="mobilenetv3",
            variant=variant,
            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(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/mobilenet/test_mobilenet_v3.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 0x7f3e6d5448b0>
fw_out = tensor([[-4.19270e+00, -2.05030e+00, -1.02170e+01, -1.05022e+01, -6.22623e+00, -4.61846e+00, -7.42914e+00,  2.22767e+0...24e+00, -5.64196e+00, -2.83040e+00, -2.77859e+00, -7.63461e+00, -3.81951e+00, -1.20286e+00]], grad_fn=<AddmmBackward0>)
co_out = tensor([[-226.98198, -412.57010, -270.58762, -380.52286, -335.94449, -196.37750, -269.44189, -220.49303,  -97.93401, -...14.54756, -207.29114, -292.76672, -404.19022, -294.73376, -376.43237, -321.77643, -296.45874, -303.75797, -253.13931]])

    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([[-4.19270e+00, -2.05030e+00, -1.02170e+01, -1.05022e+01, -6.22623e+00, -4.61846e+00, -7.42914e+00,  2.22767e+00,  5.87475e+00, -4.97107e+00, -4.56908e+00, -3.77862e+00, -5.94001e+00, -7.60881e+00, -4.41277e+00, -4.87838e+00, -4.52502e+00, -4.11599e+00, -1.92737e+00, -7.57340e+00, -3.48367e+00, -6.24160e+00,
E                    -5.05701e+00, -4.16706e+00, -3.42380e+00, -6.67784e+00, -2.62899e+00, -3.41493e+00, -8.09350e+00, -3.50941e+00, -4.59849e+00, -3.38104e+00, -1.29616e+00, -8.14286e+00, -3.64776e+00, -3.18904e+00, -3.38569e+00, -5.49220e+00, -5.53870e+00, -6.49195e+00, -5.13286e+00, -8.72757e+00, -7.88474e+00, -8.53479e+00,
E                    -7.98821e+00, -8.50543e+00, -5.58867e+00, -5.02795e+00, -7.70511e+00, -5.78369e+00, -6.16335e+00, -7.29847e+00, -3.99706e+00, -5.05121e+00, -3.10742e+00, -4.56306e+00, -5.43045e+00, -6.65970e+00, -4.43279e+00, -4.16090e+00, -3.28381e+00, -5.58068e+00, -7.61407e+00, -5.83703e+00, -9.67008e+00, -7.58367e+00,
E                    -6.11889e+00, -5.40420e+00, -6.22831e+00, -9.93296e+00, -5.80713e+00, -6.67029e+00, -8.65280e+00, -5.94022e+00, -4.73387e+00, -6.93001e+00, -7.87040e+00, -5.37592e+00, -3.65311e+00, -4.62591e+00, -2.77939e+00, -2.63435e+00,  1.49268e+00, -3.12291e+00,  1.29363e+00, -1.43921e+00,  6.82928e-01, -1.10498e+01,
E                    -3.50415e+00, -1.01639e+00, -4.26963e+00, -4.98328e+00, -5.19078e+00, -5.76583e+00, -4.47027e+00, -7.36879e+00, -4.52237e+00, -2.05681e+00, -2.81664e+00, -3.04632e+00, -4.15469e+00, -9.80524e+00, -4.78529e+00, -6.56556e+00,  9.32123e+00, -6.74991e+00, -4.14155e+00, -7.34386e+00,  4.59046e-01, -5.80576e+00,
E                    -4.77934e+00, -7.62788e+00, -3.48061e+00, -3.16019e+00, -2.61768e+00, -4.40223e+00, -5.54312e+00, -6.03016e+00, -4.82808e+00, -3.26907e-01, -7.42696e+00, -7.76518e+00, -5.94151e+00, -6.32159e+00, -1.81025e+00, -3.65309e+00, -5.29047e+00, -1.43769e+00, -3.47417e+00, -3.24867e+00, -3.02483e+00, -4.70516e+00,
E                    -4.62302e+00, -6.59362e+00, -3.79890e+00, -4.32812e+00, -1.93290e+00, -3.91680e+00, -5.39156e+00, -9.64780e+00, -8.18307e+00, -9.03341e+00, -6.61142e+00, -6.68360e+00,  2.76342e-01, -4.55838e+00, -5.70695e+00, -1.14931e+01, -7.85413e+00, -7.14018e+00, -8.43416e+00,  5.14918e+00,  7.43674e+00,  2.01372e+00,
E                     4.81325e+00, -1.21985e+00, -5.45303e+00,  4.66710e+00, -1.87316e+00, -1.53947e+00, -5.25621e+00, -5.69982e+00, -2.93259e+00, -5.55649e+00, -2.14601e+00, -5.30214e+00, -2.71216e+00, -6.39964e+00, -3.52189e+00,  3.24507e+00, -4.12705e-01, -3.20338e+00, -2.48403e+00,  6.74698e-01,  6.49348e+00, -2.00188e+00,
E                    -3.72881e+00, -2.26352e+00, -4.07093e+00, -3.43647e+00, -3.15897e+00, -8.66510e+00,  1.91231e+00, -1.74391e+00, -1.01432e+00, -1.89307e+00,  2.12113e+00, -2.57514e+00, -3.32627e+00, -4.77345e+00, -3.20550e+00, -3.96066e+00,  3.92788e+00,  9.44196e-01, -5.29537e+00, -7.32793e-01, -4.92363e+00, -5.43314e-01,
E                    -6.46203e+00,  9.14847e-01,  2.71581e+00, -2.43039e+00, -1.19389e+00,  4.58531e+00,  1.00574e+00, -5.67752e-01, -1.73479e+00,  2.24845e+00, -8.56974e-01, -3.67503e+00, -3.81835e+00, -3.36413e+00,  5.66983e-01, -2.46036e+00, -1.23936e+00, -2.38970e+00, -8.71058e-02, -2.37599e-02, -3.30992e+00, -2.46309e+00,
E                     2.10696e-01, -4.67259e+00,  7.94130e+00,  8.71084e+00,  5.18478e+00,  1.93392e-01,  7.84234e-02,  3.62057e+00,  5.00535e-01,  2.18734e+00,  6.73425e+00,  8.04091e+00,  6.77092e+00, -2.30230e+00, -3.05487e+00,  6.42427e+00,  1.14373e+00, -1.46052e-01, -3.20148e+00, -2.00323e+00,  1.09042e+00, -4.28716e+00,
E                    -2.57932e+00, -2.83827e+00,  1.54959e-02, -2.26017e+00, -2.66449e+00,  2.98247e-01,  1.01713e+01,  5.67417e+00,  7.48337e+00, -1.95145e+00, -3.04335e-01,  2.12457e+00, -1.28153e+00, -1.08784e+00,  2.77477e+00,  9.85374e+00,  1.62409e+01,  1.20859e+01,  4.50871e+00,  9.40485e+00,  3.95659e+00,  2.83106e+00,
E                     2.26823e+00, -1.92683e+00, -2.94580e+00, -1.27968e+00, -6.13709e+00,  5.35604e+00,  1.00016e+01,  8.59311e-01, -1.23990e-01,  3.39926e+00,  6.80581e-02, -3.12311e+00, -7.60299e-01,  7.43187e-01,  9.35926e-02,  9.67761e+00,  2.88748e+00, -9.69751e-02,  6.46254e-01,  4.32131e+00,  1.93789e+00,  2.44019e+00,
E                    -5.72348e+00,  3.80141e-02, -1.83499e+00, -2.45875e-01, -6.62370e+00, -2.83001e+00, -1.27440e+00, -1.64631e+00, -5.14987e+00, -3.90464e+00, -2.44893e+00, -3.68015e+00, -6.35418e+00, -5.49035e+00, -5.11419e+00, -2.74180e+00, -3.94068e+00, -6.45561e+00, -4.34022e+00, -4.57871e+00, -3.50403e+00, -4.33298e+00,
E                    -6.59134e+00, -6.08187e+00, -1.61382e+00, -1.66570e+00, -2.54446e+00, -4.41458e+00, -4.43982e+00, -3.76724e+00, -5.47268e+00, -4.78240e+00, -4.77645e+00, -7.79139e+00, -7.18975e+00, -6.78540e+00, -6.95576e+00, -4.83224e+00, -5.92711e+00, -6.65966e+00, -4.86540e+00, -4.29894e+00, -2.05125e-01, -5.90757e+00,
E                     1.63158e+00,  6.29334e+00,  6.75532e+00, -2.88197e+00, -7.88282e-01,  2.26291e+00, -2.81017e+00, -2.20008e+00, -2.62135e+00, -6.44028e+00, -5.32611e+00, -6.15041e+00, -6.55798e+00, -9.76401e+00, -9.07996e+00, -4.80290e+00, -6.70768e+00, -5.67642e+00,  9.63721e-02, -8.25299e+00, -4.75890e+00, -9.38432e+00,
E                    -6.80027e+00, -4.82310e+00, -5.41694e+00,  3.19391e+00, -8.71996e-01, -2.78360e+00, -2.60054e-01, -3.81865e-01, -5.61712e+00,  2.95816e+00, -3.01484e+00, -3.97868e+00, -4.22329e+00, -8.07755e+00, -6.37160e+00, -6.44326e+00, -9.47697e-01, -3.46657e+00, -3.07014e+00, -5.40529e+00, -7.87725e+00, -3.91906e+00,
E                    -5.35819e+00, -4.13348e+00, -6.96109e+00, -3.05224e+00, -2.58170e+00, -5.14117e+00, -2.53696e+00, -3.36324e+00, -3.53526e+00, -7.94170e-01, -3.19365e+00, -9.62731e+00, -1.13704e+01, -4.86527e+00, -3.35688e+00, -6.42522e+00, -6.02821e+00, -1.94786e+00, -5.19880e+00, -4.80650e+00, -5.47074e+00, -7.87713e+00,
E                    -4.41205e+00, -6.13972e+00, -5.62128e+00, -4.76300e+00, -9.60399e+00, -4.93432e+00, -4.21391e+00, -8.96489e+00, -9.32678e+00, -4.38439e+00, -5.33336e+00, -1.90884e+00, -2.50598e+00, -2.47520e+00, -1.11904e+01, -7.24694e-01,  9.47974e-01, -8.11510e+00, -4.06272e+00, -2.99362e+00, -4.88814e+00, -6.81792e-01,
E                    -3.77953e+00, -2.70777e+00, -5.64204e+00, -5.11213e+00, -3.73356e+00, -5.76270e+00, -8.23412e+00, -3.51785e+00, -4.01987e+00, -2.12179e+00, -9.81516e-01, -2.93633e+00, -4.14198e+00, -9.41091e-01, -7.96279e+00, -5.76961e+00, -2.23568e+00, -3.70412e-01, -3.32113e+00, -4.33178e+00, -6.44907e+00, -4.50291e+00,
E                    -3.20097e+00, -4.87085e+00, -1.40477e+00, -3.77029e+00, -2.28937e+00, -4.53564e+00, -1.49087e+00, -2.33637e+00, -5.69636e+00, -1.91779e+00, -5.77579e+00, -3.91846e+00, -3.77294e+00, -4.63911e+00, -6.85691e+00, -4.23740e+00, -3.66724e+00, -3.86861e+00, -1.87870e+00, -1.50829e+00, -8.05864e-01, -5.07551e+00,
E                    -5.66895e-01,  4.02028e+00, -3.21869e+00, -1.36347e-01, -5.05738e+00, -5.39835e+00, -6.02542e+00, -5.97261e-01,  3.39541e+00, -3.71256e+00, -3.04507e+00, -1.35783e+00, -4.13108e+00, -2.03601e+00, -6.32274e+00, -3.59874e+00, -1.27412e+00, -2.60330e+00, -3.08146e+00, -8.57266e+00, -5.06612e+00, -1.92851e+00,
E                    -4.79482e+00, -4.55693e+00, -6.59080e+00, -1.43485e+00, -4.22952e-01, -5.34914e-01, -5.99626e+00, -4.61122e+00, -5.38429e+00, -5.30713e+00, -6.31349e+00, -1.59383e+00, -3.78556e+00, -2.60380e+00, -6.29345e+00, -1.39268e+00, -6.80342e+00, -2.92550e+00, -3.08949e+00, -2.45586e+00,  1.84669e+00, -2.40947e+00,
E                    -3.95589e+00, -2.83411e+00, -4.61303e+00, -7.46459e+00, -4.37362e+00, -2.27812e+00, -6.28973e+00, -5.12415e+00, -2.52942e+00, -3.57749e+00, -4.06492e+00, -6.06550e+00, -2.98346e+00, -1.21158e+00, -4.73698e+00, -4.52396e+00,  1.51565e+00, -2.22168e+00, -4.99889e+00, -3.10962e+00, -4.23994e+00, -5.09774e+00,
E                    -2.43767e+00, -2.88288e+00, -4.48230e+00, -2.99279e+00, -2.08101e-01, -2.23056e+00, -4.22332e+00, -4.33342e+00, -3.87302e+00, -2.10247e+00, -3.52651e+00,  4.32102e+00, -7.07160e+00, -2.66282e+00, -2.46242e+00, -4.05485e+00, -1.05298e+00, -5.14648e+00, -5.11826e+00, -9.06460e+00, -7.34362e+00, -6.65068e+00,
E                    -7.20334e+00, -2.37965e+00,  2.46361e+00, -2.67418e+00, -1.67516e+00, -5.69834e+00, -2.66899e+00, -4.66692e+00, -4.50590e+00, -2.77430e+00, -6.23926e+00, -6.13618e+00, -5.43270e-01, -3.12656e+00, -2.74201e+00, -7.14391e+00, -4.09020e+00, -1.18497e+00, -9.73020e-01, -5.01835e+00, -8.49340e+00, -8.22117e+00,
E                    -3.22767e+00, -3.96450e+00, -2.07356e+00, -2.82430e+00, -7.39486e+00, -4.13523e+00,  7.15692e-01, -1.64894e+00, -2.36913e+00, -3.43335e+00, -6.04614e+00, -5.74662e+00, -5.27602e+00, -4.39678e+00, -5.82383e+00, -2.33096e+00, -4.93081e+00, -5.61608e+00, -4.87026e+00, -4.34418e+00, -6.13286e+00, -4.13517e+00,
E                    -4.91598e+00, -6.67627e+00, -2.95068e+00, -5.23949e+00, -3.03712e+00, -6.25630e+00, -3.16567e+00, -9.33991e-01, -4.47899e+00, -7.94166e+00, -5.63921e+00, -2.60923e+00, -7.60653e-02, -1.82397e+00, -1.32545e+00, -6.02915e+00, -2.74667e+00, -3.39991e+00, -5.90969e+00, -7.61421e+00, -4.19606e+00, -2.30185e+00,
E                    -7.13656e+00, -4.48023e+00, -3.02848e+00, -3.40542e+00, -5.64219e+00, -2.45397e+00, -1.64880e+00, -2.10098e+00, -4.74912e+00, -2.88596e+00,  7.25399e-01, -3.16680e+00, -4.09451e+00, -3.47590e+00, -2.83762e+00,  8.35260e-01, -1.37679e+00, -7.21860e+00, -5.91163e+00, -3.62548e+00, -5.71249e+00, -5.51932e+00,
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/opt/ttforge-toolchain/venv/lib/python3.10/site-packages/forge/verify/value_checkers.py:38: ValueError