On PR #2275
pilkicTTon-pr.yml
on: workflow_dispatch
docker-build
/
...
/
build-image
18s
spdx
/
check-spdx-headers
3s
pre-commit
/
pre-commit
46s
Matrix: docker-build / forge-build
Matrix: docker-build / run-tests
Annotations
80 errors and 5 warnings
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test_distilbert.test_distilbert_masked_lm_pytorch[distilbert-base-uncased]:
forge/test/models/pytorch/text/distilbert/test_distilbert.py#L59
RuntimeError: Generated MLIR module failed verification.
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test_fuyu_8b.test_fuyu8b[adept/fuyu-8b]:
forge/test/models/pytorch/text/fuyu/test_fuyu_8b.py#L83
RuntimeError: TT_ASSERT @ /__w/tt-forge-fe/tt-forge-fe/forge/csrc/graph_lib/shape.cpp:135: (i >= 0) && (i < (int)dims_.size())
info:
Trying to access element outside of dimensions: 3
backtrace:
--- tt::graphlib::Shape::operator[](int)
--- tt::passes::commute_through_concat(tt::graphlib::Graph*, tt::graphlib::OpNode*, tt::graphlib::OpNode*, tt::graphlib::Node*, tt::graphlib::Shape*, tt::graphlib::Shape*, bool, bool*, std::pair<int, int>*, tt::graphlib::OpType*, bool)
--- tt::passes::can_commute_past_op(tt::graphlib::OpNode*, tt::graphlib::OpNode*, tt::graphlib::Graph*, tt::graphlib::Shape*, tt::graphlib::Shape*, bool, tt::graphlib::Node*)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fc4f) [0x7fe29f014c4f]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fd9d) [0x7fe29f014d9d]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fd9d) [0x7fe29f014d9d]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fd9d) [0x7fe29f014d9d]
--- tt::passes::erase_inverse_ops(tt::graphlib::Graph*)
--- tt::run_optimization_graph_passes(tt::graphlib::Graph*)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xfda39) [0x7fe29ef82a39]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xe0cf5) [0x7fe29ef65cf5]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x18ab32) [0x560eec89cb32]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x560eec89339b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x59c7) [0x560eec88ca97]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x560eec887790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x560eec887790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x560eec8889ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0x122) [0x560eec8ab172]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x560eec889c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x560eec889c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x560eec8889ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x560eec88c702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x560eec8aa4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x560eec88c702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x560eec89261d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x560eec8a762c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x560eec9af464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x560eec89339b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x560eec88d99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x8af) [0x560eec88797f]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x560eec889c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x560eec8889ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x560eec88c702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x560eec8aa4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x560eec88c702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x560eec89261d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x560eec8a762c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x560eec9af464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x560eec8ab10b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x560eec889c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x560eec887790]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x560eec8aa4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x560eec8889ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x560eec889c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x560eec887790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x560eec8889ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x560eec889c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x560eec8889ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x560eec88c702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x560eec8aa4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x560eec88c702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x560eec89261d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x560eec8a762c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x560eec9af464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x560eec89339b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x560eec88d99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x560eec889c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x560eec8889ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x560eec88c702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x560eec8aa4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x560eec88c702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x560eec89261d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x560eec8a762c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x560eec9af464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x560eec89339b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x560eec88d99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x560eec887790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x560eec887790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x560eec89d38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x560eec889c30]
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test_opt.test_opt_causal_lm[facebook/opt-125m]:
forge/test/models/pytorch/text/opt/test_opt.py#L63
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
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test_phi2.test_phi2_clm[microsoft/phi-2]:
forge/test/models/pytorch/text/phi2/test_phi2.py#L67
AssertionError: Data mismatch on output 0 between framework and Forge codegen
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test_qwen_v2.test_qwen_clm[Qwen/Qwen2.5-0.5B]:
forge/test/models/pytorch/text/qwen/test_qwen_v2.py#L59
RuntimeError: Input count mismatch: expected 534, got 535
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test_roberta.test_roberta_masked_lm[xlm-roberta-base]:
forge/test/models/pytorch/text/roberta/test_roberta.py#L49
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
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test_t5.test_t5_generation[t5-base]:
forge/test/models/pytorch/text/t5/test_t5.py#L168
ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[[-18.88008, -10.41466, -14.89029, ..., -43.63987, -43.76200, -43.71424]]], grad_fn=<UnsafeViewBackward0>), compiled_model=tensor([[[-31.69363, -10.19963, -13.79479, ..., -44.44143, -44.45059, -44.40383]]])
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test_deit.test_deit_imgcls_hf_pytorch[facebook/deit-base-patch16-224]:
forge/test/models/pytorch/vision/deit/test_deit.py#L63
RuntimeError: Failed to run MLIR compiler pass pipeline.
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test_densenet.test_densenet_121_pytorch[densenet121_hf_xray]:
forge/test/models/pytorch/vision/densenet/test_densenet.py#L52
AssertionError: Encountered unsupported op types. Check error logs for more details
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test_detr.test_detr_detection[facebook/detr-resnet-50]:
forge/test/models/pytorch/vision/detr/test_detr.py#L42
AttributeError: <class 'tvm.ir.op.Op'> has no attribute name_hint
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test_hrnet.test_hrnet_osmr_pytorch[hrnet_w18_small_v1]:
forge/test/models/pytorch/vision/hrnet/test_hrnet.py#L98
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
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test_perceiverio.test_perceiverio_for_image_classification_pytorch[deepmind/vision-perceiver-conv]:
forge/test/models/onnx/vision/perceiverio/test_perceiverio.py#L90
RuntimeError: Unknown type of tensor: <class 'transformers.models.perceiver.modeling_perceiver.PerceiverClassifierOutput'>
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test_ssd300_resnet50.test_pytorch_ssd300_resnet50:
forge/test/models/pytorch/vision/ssd300_resnet50/test_ssd300_resnet50.py#L48
RuntimeError: Failed to run MLIR compiler pass pipeline.
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test_swin.test_swin_v2_tiny_4_256_hf_pytorch[microsoft/swinv2-tiny-patch4-window8-256]:
forge/test/models/pytorch/vision/swin/test_swin.py#L77
AssertionError: Data mismatch on output 0 between framework and Forge codegen
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test_yolo_v5.test_yolov5_640x640[yolov5s]:
forge/test/models/onnx/vision/yolo/test_yolo_v5.py#L95
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
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test_clip.test_clip_pytorch[openai/clip-vit-base-patch32]:
forge/test/models/pytorch/multimodal/clip/test_clip.py#L53
RuntimeError: Generated MLIR module failed verification.
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test_gpt2.test_gpt2_text_gen[gpt2]:
forge/test/models/pytorch/text/gpt2/test_gpt2.py#L55
RuntimeError: Tensor 6 - data type mismatch: expected Float32, got UInt8
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test_qwen.test_qwen1_5_causal_lm[Qwen/Qwen1.5-0.5B]:
forge/test/models/pytorch/text/qwen/test_qwen.py#L56
RuntimeError: Input count mismatch: expected 534, got 535
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test_squeezebert.test_squeezebert_sequence_classification_pytorch[squeezebert/squeezebert-mnli]:
forge/test/models/pytorch/text/squeezebert/test_squeezebert.py#L48
RuntimeError: Failed to run MLIR compiler pass pipeline.
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test_t5.test_t5_generation[t5-large]:
forge/test/models/pytorch/text/t5/test_t5.py#L168
ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[[-20.48772, -10.36655, -13.71507, ..., -39.06538, -39.12180, -39.08955]]], grad_fn=<UnsafeViewBackward0>), compiled_model=tensor([[[-22.37089, -18.76008, -19.40021, ..., -60.30701, -60.50323, -60.47663]]])
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test_nbeats.test_nbeats_with_seasonality_basis[seasionality_basis]:
forge/test/models/pytorch/timeseries/nbeats/test_nbeats.py#L49
RuntimeError: Tensor 4 - stride mismatch: expected [24, 1], got [1, 12]
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test_autoencoder.test_conv_ae_pytorch:
forge/test/models/pytorch/vision/autoencoder/test_autoencoder.py#L51
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
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test_densenet.test_densenet_161_pytorch[densenet161]:
forge/test/models/pytorch/vision/densenet/test_densenet.py#L84
RuntimeError: Tensor 0 - stride mismatch: expected [150528, 50176, 224, 1], got [3, 1, 672, 3]
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test_efficientnet.test_efficientnet_timm[efficientnet_b0]:
forge/test/models/pytorch/vision/efficientnet/test_efficientnet.py#L93
RuntimeError: TT_THROW @ /__w/tt-forge-fe/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/tt_metal/impl/program/program.cpp:898: tt::exception
info:
Statically allocated circular buffers on core range [(x=0,y=0) - (x=6,y=6)] grow to 1942368 B which is beyond max L1 size of 1499136 B
backtrace:
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/libtt_metal.so(+0x1657eb) [0x7f477e2bf7eb]
--- tt::tt_metal::detail::Program_::validate_circular_buffer_region(tt::tt_metal::v0::IDevice const*)
--- tt::tt_metal::v0::CommandQueue::run_command_impl(tt::tt_metal::CommandInterface const&)
--- tt::tt_metal::v0::EnqueueProgram(tt::tt_metal::v0::CommandQueue&, tt::tt_metal::v0::Program&, bool)
--- void ttnn::device_operation::detail::launch_on_worker_thread<tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >, unsigned char, long, tt::tt_metal::operation::DeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_args_t, std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> >, tt::tt_metal::v0::IDevice*>(unsigned char, long, tt::tt_metal::operation::DeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > > const&, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_args_t const&, std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> >&, tt::tt_metal::v0::IDevice*&)
--- tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_return_value_t ttnn::device_operation::detail::launch_on_single_device<tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > > >(unsigned char, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::operation_attributes_t const&, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_args_t const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x306fe99) [0x7f4781581e99]
--- tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_return_value_t ttnn::device_operation::detail::invoke<tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > > >(unsigned char, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::operation_attributes_t const&, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_args_t const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x306c5df) [0x7f478157e5df]
--- std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > tt::tt_metal::operation::run_without_autoformat<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >(tt::tt_metal::operation::DeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >&&, std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > const&, std::vector<std::optional<tt::tt_metal::Tensor const>, std::allocator<std::optional<tt::tt_metal::Tensor const> > > const&, std::vector<std::optional<tt::tt_metal::Tensor>, std::allocator<std::optional<tt::tt_metal::Tensor> > > const&, unsigned char)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x46873f) [0x7f477e97a73f]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x471d90) [0x7f477e983d90]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x4729ec) [0x7f477e9849ec]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(_ZN4ttnn10operations4conv6conv2d18optimized_conv_newERKN2tt8tt_metal6TensorES7_St8optionalIS6_ERKNS0_14sliding_window19SlidingWindowConfigEjjbbRKNS2_34OptimizedConvParallelizationConfigERKNS2_24OptimizedConvBlockConfigERKNS4_12MemoryConfigENS4_8DataTypeESt5arrayIjLm4EEbRKSt7variantIJNS_28GrayskullComputeKernelConfigENS_27WormholeComputeKernelConfigEEEbbbbb+0x18f1) [0x7f477e902df1]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(_ZN4ttnn10operations4conv6conv2d6conv2dIN2tt8tt_metal2v07IDeviceEEESt5tupleIJNS5_6TensorEjjS9_St8optionalIS9_EEERKS9_SE_PT_jjjjjSt5arrayIjLm2EESI_SI_SI_jSA_ISD_ERKSA_IKNS2_12Conv2dConfigEERKSA_IKSt7variantIJNS_28GrayskullComputeKernelConfigENS_27WormholeComputeKernelConfigEEEERKSA_IKNS5_12MemoryConfigEE+0xf7b) [0x7f477e8f094b]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/libTTMLIR.so(+0x775ca3) [0x7f4783156ca3]
--- tt::runtime::ttnn::operations::conv::run(tt::target::ttnn::Conv2dOp const*, tt::runtime::ttnn::ProgramContext&)
--- tt::runtime::ttnn::runProgram(tt::tt_metal::distributed::MeshDevice&, tt::runtime::Binary, unsigned int, std::vector<tt::tt_metal::Tensor*, std::allocator<tt::tt_metal::Tensor*> > const&)
--- tt::runtime::ttnn::submit(tt::runtime::Device, tt::runtime::Binary, unsigned int, std::vector<tt::runtime::Tensor, std::allocator<tt::runtime::Tensor> > const&)
--- tt::runtime::submit(tt::runtime::Device, tt::runtime::Binary, unsigned int, std::vector<tt::runtime::Tensor, std::allocator<tt::runtime::Tensor> > const&)
--- tt::run_binary(tt::runtime::Binary&, int, std::vector<at::Tensor, std::allocator<at::Tensor> > const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x3174e0) [0x7f478f8ca4e0]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x31742e) [0x7f478f8ca42e]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xe0cf5) [0x7f478f693cf5]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x18ab32) [0x5588a274db32]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x5588a274439b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x59c7) [0x5588a273da97]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0xc4) [0x5588a2743574]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x5588a275c10b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x5588a2738790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0x122) [0x5588a275c172]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x5588a274361d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x5588a274439b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x5588a273e99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x8af) [0x5588a273897f]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x5588a274361d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x5588a275c10b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x5588a2738790]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x5588a2738790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x5588a274361d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x5588a274439b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x5588a273e99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
|
|
test_vit.test_vit_classify_224_hf_pytorch[google/vit-base-patch16-224]:
forge/test/models/pytorch/vision/vit/test_vit.py#L57
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_xception.test_xception_timm[xception]:
forge/test/models/pytorch/vision/xception/test_xception.py#L65
RuntimeError: TT_FATAL @ /__w/tt-forge-fe/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/pool/generic/device/pool_op.cpp:37: (input_shape[3] % tt::constants::TILE_WIDTH == 0) || (input_shape[3] == 16)
info:
Input channels (728) should be padded to nearest TILE_WIDTH (32) or should be 16
backtrace:
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x3f4309) [0x7f477e906309]
--- ttnn::operations::pool::validate_pool2d(tt::tt_metal::Tensor const&, ttnn::operations::sliding_window::SlidingWindowConfig const&, tt::tt_metal::MemoryConfig const&)
--- void ttnn::device_operation::detail::launch_on_worker_thread<ttnn::operations::pool::Pool2D, unsigned char, long, ttnn::operations::pool::Pool2D::operation_attributes_t, ttnn::operations::pool::Pool2D::tensor_args_t, tt::tt_metal::Tensor, tt::tt_metal::v0::IDevice*>(unsigned char, long, ttnn::operations::pool::Pool2D::operation_attributes_t const&, ttnn::operations::pool::Pool2D::tensor_args_t const&, tt::tt_metal::Tensor&, tt::tt_metal::v0::IDevice*&)
--- ttnn::operations::pool::Pool2D::tensor_return_value_t ttnn::device_operation::detail::launch_on_single_device<ttnn::operations::pool::Pool2D>(unsigned char, ttnn::operations::pool::Pool2D::operation_attributes_t const&, ttnn::operations::pool::Pool2D::tensor_args_t const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x174dee9) [0x7f477fc5fee9]
--- ttnn::operations::pool::Pool2D::tensor_return_value_t ttnn::device_operation::detail::invoke<ttnn::operations::pool::Pool2D>(unsigned char, ttnn::operations::pool::Pool2D::operation_attributes_t const&, ttnn::operations::pool::Pool2D::tensor_args_t const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x174d96f) [0x7f477fc5f96f]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x1745598) [0x7f477fc57598]
--- ttnn::operations::pool::Pool2DOp<(ttnn::operations::pool::Pool2DType)0>::invoke(unsigned char, tt::tt_metal::Tensor const&, unsigned int, unsigned int, unsigned int, unsigned int, std::array<unsigned int, 2ul>, std::array<unsigned int, 2ul>, std::array<unsigned int, 2ul>, std::array<unsigned int, 2ul>, std::optional<tt::tt_metal::MemoryConfig const> const&, std::optional<tt::tt_metal::TensorMemoryLayout const>, bool)
--- tt::runtime::ttnn::operations::pool::run(tt::target::ttnn::MaxPool2dOp const*, tt::runtime::ttnn::ProgramContext&)
--- tt::runtime::ttnn::runProgram(tt::tt_metal::distributed::MeshDevice&, tt::runtime::Binary, unsigned int, std::vector<tt::tt_metal::Tensor*, std::allocator<tt::tt_metal::Tensor*> > const&)
--- tt::runtime::ttnn::submit(tt::runtime::Device, tt::runtime::Binary, unsigned int, std::vector<tt::runtime::Tensor, std::allocator<tt::runtime::Tensor> > const&)
--- tt::runtime::submit(tt::runtime::Device, tt::runtime::Binary, unsigned int, std::vector<tt::runtime::Tensor, std::allocator<tt::runtime::Tensor> > const&)
--- tt::run_binary(tt::runtime::Binary&, int, std::vector<at::Tensor, std::allocator<at::Tensor> > const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x3174e0) [0x7f478f8ca4e0]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x31742e) [0x7f478f8ca42e]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xe0cf5) [0x7f478f693cf5]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x18ab32) [0x5588a274db32]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x5588a274439b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x59c7) [0x5588a273da97]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0xc4) [0x5588a2743574]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x5588a275c10b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x5588a2738790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0x122) [0x5588a275c172]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x5588a274361d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x5588a274439b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x5588a273e99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x8af) [0x5588a273897f]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x5588a274361d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x5588a275c10b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x5588a2738790]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x5588a2738790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x5588a274361d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x5588a274439b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x5588a273e99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x5588a273ac30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x5588a27399ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x5588a275b4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x5588a273d702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x5588a274e38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x5588a274361d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x5588a275862c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x5588a2860464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x5588a274439b]
|
|
test_yolox.test_yolox_pytorch[yolox_nano]:
forge/test/models/pytorch/vision/yolo/test_yolox.py#L94
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_distilbert.test_distilbert_masked_lm_pytorch[distilbert-base-uncased]:
forge/test/models/pytorch/text/distilbert/test_distilbert.py#L59
RuntimeError: Generated MLIR module failed verification.
|
|
test_fuyu_8b.test_fuyu8b[adept/fuyu-8b]:
forge/test/models/pytorch/text/fuyu/test_fuyu_8b.py#L83
RuntimeError: TT_ASSERT @ /__w/tt-forge-fe/tt-forge-fe/forge/csrc/graph_lib/shape.cpp:135: (i >= 0) && (i < (int)dims_.size())
info:
Trying to access element outside of dimensions: 3
backtrace:
--- tt::graphlib::Shape::operator[](int)
--- tt::passes::commute_through_concat(tt::graphlib::Graph*, tt::graphlib::OpNode*, tt::graphlib::OpNode*, tt::graphlib::Node*, tt::graphlib::Shape*, tt::graphlib::Shape*, bool, bool*, std::pair<int, int>*, tt::graphlib::OpType*, bool)
--- tt::passes::can_commute_past_op(tt::graphlib::OpNode*, tt::graphlib::OpNode*, tt::graphlib::Graph*, tt::graphlib::Shape*, tt::graphlib::Shape*, bool, tt::graphlib::Node*)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fc4f) [0x7f2992adbc4f]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fd9d) [0x7f2992adbd9d]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fd9d) [0x7f2992adbd9d]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fd9d) [0x7f2992adbd9d]
--- tt::passes::erase_inverse_ops(tt::graphlib::Graph*)
--- tt::run_optimization_graph_passes(tt::graphlib::Graph*)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xfda39) [0x7f2992a49a39]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xe0cf5) [0x7f2992a2ccf5]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x18ab32) [0x55ed04570b32]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55ed0456739b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x59c7) [0x55ed04560a97]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55ed0455b790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55ed0455b790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55ed0455c9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0x122) [0x55ed0457f172]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55ed0455dc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55ed0455dc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55ed0455c9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55ed04560702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55ed0457e4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55ed04560702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55ed0456661d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55ed0457b62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55ed04683464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55ed0456739b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x55ed0456199e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x8af) [0x55ed0455b97f]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55ed0455dc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55ed0455c9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55ed04560702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55ed0457e4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55ed04560702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55ed0456661d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55ed0457b62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55ed04683464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x55ed0457f10b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55ed0455dc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55ed0455b790]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55ed0457e4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55ed0455c9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55ed0455dc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55ed0455b790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55ed0455c9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55ed0455dc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55ed0455c9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55ed04560702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55ed0457e4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55ed04560702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55ed0456661d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55ed0457b62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55ed04683464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55ed0456739b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x55ed0456199e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55ed0455dc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55ed0455c9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55ed04560702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55ed0457e4d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55ed04560702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55ed0456661d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55ed0457b62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55ed04683464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55ed0456739b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x55ed0456199e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55ed0455b790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55ed0455b790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55ed0457138c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55ed0455dc30]
|
|
test_opt.test_opt_causal_lm[facebook/opt-125m]:
forge/test/models/pytorch/text/opt/test_opt.py#L63
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_phi2.test_phi2_clm[microsoft/phi-2]:
forge/test/models/pytorch/text/phi2/test_phi2.py#L67
AssertionError: Data mismatch on output 0 between framework and Forge codegen
|
|
test_qwen_v2.test_qwen_clm[Qwen/Qwen2.5-0.5B]:
forge/test/models/pytorch/text/qwen/test_qwen_v2.py#L59
RuntimeError: Input count mismatch: expected 534, got 535
|
|
test_roberta.test_roberta_masked_lm[xlm-roberta-base]:
forge/test/models/pytorch/text/roberta/test_roberta.py#L49
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_t5.test_t5_generation[t5-base]:
forge/test/models/pytorch/text/t5/test_t5.py#L168
ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[[-18.88008, -10.41466, -14.89029, ..., -43.63989, -43.76201, -43.71423]]], grad_fn=<UnsafeViewBackward0>), compiled_model=tensor([[[-31.69363, -10.19963, -13.79479, ..., -44.44143, -44.45059, -44.40383]]])
|
|
test_deit.test_deit_imgcls_hf_pytorch[facebook/deit-base-patch16-224]:
forge/test/models/pytorch/vision/deit/test_deit.py#L63
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_densenet.test_densenet_121_pytorch[densenet121_hf_xray]:
forge/test/models/pytorch/vision/densenet/test_densenet.py#L52
AssertionError: Encountered unsupported op types. Check error logs for more details
|
|
test_detr.test_detr_detection[facebook/detr-resnet-50]:
forge/test/models/pytorch/vision/detr/test_detr.py#L42
AttributeError: <class 'tvm.ir.op.Op'> has no attribute name_hint
|
|
test_hrnet.test_hrnet_osmr_pytorch[hrnet_w18_small_v1]:
forge/test/models/pytorch/vision/hrnet/test_hrnet.py#L98
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_perceiverio.test_perceiverio_for_image_classification_pytorch[deepmind/vision-perceiver-conv]:
forge/test/models/onnx/vision/perceiverio/test_perceiverio.py#L90
RuntimeError: Unknown type of tensor: <class 'transformers.models.perceiver.modeling_perceiver.PerceiverClassifierOutput'>
|
|
test_ssd300_resnet50.test_pytorch_ssd300_resnet50:
forge/test/models/pytorch/vision/ssd300_resnet50/test_ssd300_resnet50.py#L48
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_swin.test_swin_v2_tiny_4_256_hf_pytorch[microsoft/swinv2-tiny-patch4-window8-256]:
forge/test/models/pytorch/vision/swin/test_swin.py#L77
AssertionError: Data mismatch on output 0 between framework and Forge codegen
|
|
test_yolo_v5.test_yolov5_640x640[yolov5s]:
forge/test/models/onnx/vision/yolo/test_yolo_v5.py#L95
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_clip.test_clip_pytorch[openai/clip-vit-base-patch32]:
forge/test/models/pytorch/multimodal/clip/test_clip.py#L53
RuntimeError: Generated MLIR module failed verification.
|
|
test_gpt2.test_gpt2_text_gen[gpt2]:
forge/test/models/pytorch/text/gpt2/test_gpt2.py#L55
RuntimeError: Tensor 6 - data type mismatch: expected Float32, got UInt8
|
|
test_qwen.test_qwen1_5_causal_lm[Qwen/Qwen1.5-0.5B]:
forge/test/models/pytorch/text/qwen/test_qwen.py#L56
RuntimeError: Input count mismatch: expected 534, got 535
|
|
test_squeezebert.test_squeezebert_sequence_classification_pytorch[squeezebert/squeezebert-mnli]:
forge/test/models/pytorch/text/squeezebert/test_squeezebert.py#L48
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_t5.test_t5_generation[t5-large]:
forge/test/models/pytorch/text/t5/test_t5.py#L168
ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[[-20.48771, -10.36654, -13.71506, ..., -39.06541, -39.12180, -39.08952]]], grad_fn=<UnsafeViewBackward0>), compiled_model=tensor([[[-22.37089, -18.76008, -19.40021, ..., -60.30701, -60.50323, -60.47663]]])
|
|
test_nbeats.test_nbeats_with_seasonality_basis[seasionality_basis]:
forge/test/models/pytorch/timeseries/nbeats/test_nbeats.py#L49
RuntimeError: Tensor 4 - stride mismatch: expected [24, 1], got [1, 12]
|
|
test_autoencoder.test_conv_ae_pytorch:
forge/test/models/pytorch/vision/autoencoder/test_autoencoder.py#L51
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_densenet.test_densenet_161_pytorch[densenet161]:
forge/test/models/pytorch/vision/densenet/test_densenet.py#L84
RuntimeError: Tensor 0 - stride mismatch: expected [150528, 50176, 224, 1], got [3, 1, 672, 3]
|
|
test_efficientnet.test_efficientnet_timm[efficientnet_b0]:
forge/test/models/pytorch/vision/efficientnet/test_efficientnet.py#L93
RuntimeError: TT_THROW @ /__w/tt-forge-fe/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/tt_metal/impl/program/program.cpp:898: tt::exception
info:
Statically allocated circular buffers on core range [(x=0,y=0) - (x=6,y=6)] grow to 1942368 B which is beyond max L1 size of 1499136 B
backtrace:
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/libtt_metal.so(+0x1657eb) [0x7f81e12d87eb]
--- tt::tt_metal::detail::Program_::validate_circular_buffer_region(tt::tt_metal::v0::IDevice const*)
--- tt::tt_metal::v0::CommandQueue::run_command_impl(tt::tt_metal::CommandInterface const&)
--- tt::tt_metal::v0::EnqueueProgram(tt::tt_metal::v0::CommandQueue&, tt::tt_metal::v0::Program&, bool)
--- void ttnn::device_operation::detail::launch_on_worker_thread<tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >, unsigned char, long, tt::tt_metal::operation::DeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_args_t, std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> >, tt::tt_metal::v0::IDevice*>(unsigned char, long, tt::tt_metal::operation::DeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > > const&, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_args_t const&, std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> >&, tt::tt_metal::v0::IDevice*&)
--- tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_return_value_t ttnn::device_operation::detail::launch_on_single_device<tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > > >(unsigned char, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::operation_attributes_t const&, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_args_t const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x306fe99) [0x7f81e459ae99]
--- tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_return_value_t ttnn::device_operation::detail::invoke<tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > > >(unsigned char, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::operation_attributes_t const&, tt::tt_metal::operation::OldInfraDeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >::tensor_args_t const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x306c5df) [0x7f81e45975df]
--- std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > tt::tt_metal::operation::run_without_autoformat<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >(tt::tt_metal::operation::DeviceOperation<std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > >&&, std::vector<tt::tt_metal::Tensor, std::allocator<tt::tt_metal::Tensor> > const&, std::vector<std::optional<tt::tt_metal::Tensor const>, std::allocator<std::optional<tt::tt_metal::Tensor const> > > const&, std::vector<std::optional<tt::tt_metal::Tensor>, std::allocator<std::optional<tt::tt_metal::Tensor> > > const&, unsigned char)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x46873f) [0x7f81e199373f]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x471d90) [0x7f81e199cd90]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x4729ec) [0x7f81e199d9ec]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(_ZN4ttnn10operations4conv6conv2d18optimized_conv_newERKN2tt8tt_metal6TensorES7_St8optionalIS6_ERKNS0_14sliding_window19SlidingWindowConfigEjjbbRKNS2_34OptimizedConvParallelizationConfigERKNS2_24OptimizedConvBlockConfigERKNS4_12MemoryConfigENS4_8DataTypeESt5arrayIjLm4EEbRKSt7variantIJNS_28GrayskullComputeKernelConfigENS_27WormholeComputeKernelConfigEEEbbbbb+0x18f1) [0x7f81e191bdf1]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(_ZN4ttnn10operations4conv6conv2d6conv2dIN2tt8tt_metal2v07IDeviceEEESt5tupleIJNS5_6TensorEjjS9_St8optionalIS9_EEERKS9_SE_PT_jjjjjSt5arrayIjLm2EESI_SI_SI_jSA_ISD_ERKSA_IKNS2_12Conv2dConfigEERKSA_IKSt7variantIJNS_28GrayskullComputeKernelConfigENS_27WormholeComputeKernelConfigEEEERKSA_IKNS5_12MemoryConfigEE+0xf7b) [0x7f81e190994b]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/libTTMLIR.so(+0x775ca3) [0x7f81e616fca3]
--- tt::runtime::ttnn::operations::conv::run(tt::target::ttnn::Conv2dOp const*, tt::runtime::ttnn::ProgramContext&)
--- tt::runtime::ttnn::runProgram(tt::tt_metal::distributed::MeshDevice&, tt::runtime::Binary, unsigned int, std::vector<tt::tt_metal::Tensor*, std::allocator<tt::tt_metal::Tensor*> > const&)
--- tt::runtime::ttnn::submit(tt::runtime::Device, tt::runtime::Binary, unsigned int, std::vector<tt::runtime::Tensor, std::allocator<tt::runtime::Tensor> > const&)
--- tt::runtime::submit(tt::runtime::Device, tt::runtime::Binary, unsigned int, std::vector<tt::runtime::Tensor, std::allocator<tt::runtime::Tensor> > const&)
--- tt::run_binary(tt::runtime::Binary&, int, std::vector<at::Tensor, std::allocator<at::Tensor> > const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x3174e0) [0x7f81f28e34e0]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x31742e) [0x7f81f28e342e]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xe0cf5) [0x7f81f26accf5]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x18ab32) [0x55fd773c2b32]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55fd773b939b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x59c7) [0x55fd773b2a97]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0xc4) [0x55fd773b8574]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x55fd773d110b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55fd773ad790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0x122) [0x55fd773d1172]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55fd773b861d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55fd773b939b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x55fd773b399e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x8af) [0x55fd773ad97f]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55fd773b861d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x55fd773d110b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55fd773ad790]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55fd773ad790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55fd773b861d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55fd773b939b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x55fd773b399e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
|
|
test_vit.test_vit_classify_224_hf_pytorch[google/vit-base-patch16-224]:
forge/test/models/pytorch/vision/vit/test_vit.py#L57
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_xception.test_xception_timm[xception]:
forge/test/models/pytorch/vision/xception/test_xception.py#L65
RuntimeError: TT_FATAL @ /__w/tt-forge-fe/tt-forge-fe/third_party/tt-mlir/third_party/tt-metal/src/tt-metal/ttnn/cpp/ttnn/operations/pool/generic/device/pool_op.cpp:37: (input_shape[3] % tt::constants::TILE_WIDTH == 0) || (input_shape[3] == 16)
info:
Input channels (728) should be padded to nearest TILE_WIDTH (32) or should be 16
backtrace:
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x3f4309) [0x7f81e191f309]
--- ttnn::operations::pool::validate_pool2d(tt::tt_metal::Tensor const&, ttnn::operations::sliding_window::SlidingWindowConfig const&, tt::tt_metal::MemoryConfig const&)
--- void ttnn::device_operation::detail::launch_on_worker_thread<ttnn::operations::pool::Pool2D, unsigned char, long, ttnn::operations::pool::Pool2D::operation_attributes_t, ttnn::operations::pool::Pool2D::tensor_args_t, tt::tt_metal::Tensor, tt::tt_metal::v0::IDevice*>(unsigned char, long, ttnn::operations::pool::Pool2D::operation_attributes_t const&, ttnn::operations::pool::Pool2D::tensor_args_t const&, tt::tt_metal::Tensor&, tt::tt_metal::v0::IDevice*&)
--- ttnn::operations::pool::Pool2D::tensor_return_value_t ttnn::device_operation::detail::launch_on_single_device<ttnn::operations::pool::Pool2D>(unsigned char, ttnn::operations::pool::Pool2D::operation_attributes_t const&, ttnn::operations::pool::Pool2D::tensor_args_t const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x174dee9) [0x7f81e2c78ee9]
--- ttnn::operations::pool::Pool2D::tensor_return_value_t ttnn::device_operation::detail::invoke<ttnn::operations::pool::Pool2D>(unsigned char, ttnn::operations::pool::Pool2D::operation_attributes_t const&, ttnn::operations::pool::Pool2D::tensor_args_t const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x174d96f) [0x7f81e2c7896f]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/lib/_ttnn.so(+0x1745598) [0x7f81e2c70598]
--- ttnn::operations::pool::Pool2DOp<(ttnn::operations::pool::Pool2DType)0>::invoke(unsigned char, tt::tt_metal::Tensor const&, unsigned int, unsigned int, unsigned int, unsigned int, std::array<unsigned int, 2ul>, std::array<unsigned int, 2ul>, std::array<unsigned int, 2ul>, std::array<unsigned int, 2ul>, std::optional<tt::tt_metal::MemoryConfig const> const&, std::optional<tt::tt_metal::TensorMemoryLayout const>, bool)
--- tt::runtime::ttnn::operations::pool::run(tt::target::ttnn::MaxPool2dOp const*, tt::runtime::ttnn::ProgramContext&)
--- tt::runtime::ttnn::runProgram(tt::tt_metal::distributed::MeshDevice&, tt::runtime::Binary, unsigned int, std::vector<tt::tt_metal::Tensor*, std::allocator<tt::tt_metal::Tensor*> > const&)
--- tt::runtime::ttnn::submit(tt::runtime::Device, tt::runtime::Binary, unsigned int, std::vector<tt::runtime::Tensor, std::allocator<tt::runtime::Tensor> > const&)
--- tt::runtime::submit(tt::runtime::Device, tt::runtime::Binary, unsigned int, std::vector<tt::runtime::Tensor, std::allocator<tt::runtime::Tensor> > const&)
--- tt::run_binary(tt::runtime::Binary&, int, std::vector<at::Tensor, std::allocator<at::Tensor> > const&)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x3174e0) [0x7f81f28e34e0]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x31742e) [0x7f81f28e342e]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xe0cf5) [0x7f81f26accf5]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x18ab32) [0x55fd773c2b32]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55fd773b939b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x59c7) [0x55fd773b2a97]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0xc4) [0x55fd773b8574]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x55fd773d110b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55fd773ad790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0x122) [0x55fd773d1172]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55fd773b861d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55fd773b939b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x55fd773b399e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x8af) [0x55fd773ad97f]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55fd773b861d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x55fd773d110b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55fd773ad790]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x55fd773ad790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55fd773b861d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55fd773b939b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x55fd773b399e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x55fd773afc30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x55fd773ae9ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x55fd773d04d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x55fd773b2702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x55fd773c338c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x55fd773b861d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x55fd773cd62c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x55fd774d5464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x55fd773b939b]
|
|
test_yolox.test_yolox_pytorch[yolox_nano]:
forge/test/models/pytorch/vision/yolo/test_yolox.py#L94
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_stereo.test_stereo[facebook/musicgen-small]:
forge/test/models/pytorch/audio/stereo/test_stereo.py#L46
RuntimeError: TT_ASSERT @ /__w/tt-forge-fe/tt-forge-fe/forge/csrc/graph_lib/shape.cpp:135: (i >= 0) && (i < (int)dims_.size())
info:
Trying to access element outside of dimensions: 3
backtrace:
--- tt::graphlib::Shape::operator[](int)
--- tt::passes::commute_through_concat(tt::graphlib::Graph*, tt::graphlib::OpNode*, tt::graphlib::OpNode*, tt::graphlib::Node*, tt::graphlib::Shape*, tt::graphlib::Shape*, bool, bool*, std::pair<int, int>*, tt::graphlib::OpType*, bool)
--- tt::passes::can_commute_past_op(tt::graphlib::OpNode*, tt::graphlib::OpNode*, tt::graphlib::Graph*, tt::graphlib::Shape*, tt::graphlib::Shape*, bool, tt::graphlib::Node*)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fc4f) [0x7f481c59ec4f]
--- tt::passes::erase_inverse_ops(tt::graphlib::Graph*)
--- tt::run_optimization_graph_passes(tt::graphlib::Graph*)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xfda39) [0x7f481c50ca39]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xe0cf5) [0x7f481c4efcf5]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x18ab32) [0x557daf22bb32]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x557daf22239b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x59c7) [0x557daf21ba97]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x557daf216790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x557daf216790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x557daf2179ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0x122) [0x557daf23a172]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x557daf218c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x557daf218c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x557daf2179ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x557daf21b702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x557daf2394d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x557daf21b702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x557daf22161d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x557daf23662c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x557daf33e464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x557daf22239b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x557daf21c99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x8af) [0x557daf21697f]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x557daf218c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x557daf2179ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x557daf21b702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x557daf2394d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x557daf21b702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x557daf22161d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x557daf23662c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x557daf33e464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x557daf23a10b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x557daf218c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x557daf216790]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x557daf2394d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x557daf2179ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x557daf218c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x557daf216790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x557daf2179ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x557daf218c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x557daf2179ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x557daf21b702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x557daf2394d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x557daf21b702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x557daf22161d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x557daf23662c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x557daf33e464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x557daf22239b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x557daf21c99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x557daf218c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x557daf2179ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x557daf21b702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x557daf2394d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x557daf21b702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x557daf22161d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x557daf23662c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x557daf33e464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x557daf22239b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x557daf21c99e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x557daf216790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x557daf216790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x557daf218c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x557daf2179ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x557daf22c38c]
|
|
test_stable_diffusion_xl.test_stable_diffusion_generation[stable-diffusion-xl-base-1.0]:
forge/test/models/pytorch/multimodal/stable_diffusion/test_stable_diffusion_xl.py#L64
NotImplementedError: Unknown output type: <class 'PIL.Image.Image'>
|
|
test_codegen.test_codegen[Salesforce/codegen-350M-mono]:
forge/test/models/pytorch/text/codegen/test_codegen.py#L74
AssertionError: Data mismatch on output 0 between framework and Forge codegen
|
|
test_gemma_2b.test_gemma_2b[google/gemma-2b]:
forge/test/models/pytorch/text/gemma/test_gemma_2b.py#L368
RuntimeError: Input count mismatch: expected 366, got 367
|
|
test_t5.test_t5_generation[t5-small]:
forge/test/models/pytorch/text/t5/test_t5.py#L168
ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[[-21.42685, -7.10311, -13.34142, ..., -40.87328, -40.79771, -40.71077]]], grad_fn=<UnsafeViewBackward0>), compiled_model=tensor([[[ 15.12560, -7.13685, -9.70421, ..., -35.87063, -35.87774, -35.95815]]])
|
|
test_alexnet.test_alexnet_torchhub:
forge/test/models/pytorch/vision/alexnet/test_alexnet.py#L59
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_densenet.test_densenet_169_pytorch[densenet169]:
forge/test/models/pytorch/vision/densenet/test_densenet.py#L114
RuntimeError: Tensor 0 - stride mismatch: expected [150528, 50176, 224, 1], got [3, 1, 672, 3]
|
|
test_hrnet.test_hrnet_timm_pytorch[hrnet_w18_small]:
forge/test/models/pytorch/vision/hrnet/test_hrnet.py#L174
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_inception_v4.test_inception_v4_osmr_pytorch:
forge/test/models/pytorch/vision/inception/test_inception_v4.py#L48
RuntimeError: Tensor 47 - stride mismatch: expected [1225, 1], got [0, 0]
|
|
test_rcnn.test_rcnn_pytorch:
forge/test/models/pytorch/vision/rcnn/test_rcnn.py#L93
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_segformer.test_segformer_image_classification_pytorch[nvidia/mit-b0]:
forge/test/models/pytorch/vision/segformer/test_segformer.py#L61
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_yolo_v5.test_yolov5_320x320[yolov5s]:
forge/test/models/onnx/vision/yolo/test_yolo_v5.py#L52
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_yolo_v6.test_yolo_v6_pytorch[yolov6n]:
forge/test/models/pytorch/vision/yolo/test_yolo_v6.py#L68
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_stereo.test_stereo[facebook/musicgen-small]:
forge/test/models/pytorch/audio/stereo/test_stereo.py#L46
RuntimeError: TT_ASSERT @ /__w/tt-forge-fe/tt-forge-fe/forge/csrc/graph_lib/shape.cpp:135: (i >= 0) && (i < (int)dims_.size())
info:
Trying to access element outside of dimensions: 3
backtrace:
--- tt::graphlib::Shape::operator[](int)
--- tt::passes::commute_through_concat(tt::graphlib::Graph*, tt::graphlib::OpNode*, tt::graphlib::OpNode*, tt::graphlib::Node*, tt::graphlib::Shape*, tt::graphlib::Shape*, bool, bool*, std::pair<int, int>*, tt::graphlib::OpType*, bool)
--- tt::passes::can_commute_past_op(tt::graphlib::OpNode*, tt::graphlib::OpNode*, tt::graphlib::Graph*, tt::graphlib::Shape*, tt::graphlib::Shape*, bool, tt::graphlib::Node*)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0x18fc4f) [0x7fd3ccd4ac4f]
--- tt::passes::erase_inverse_ops(tt::graphlib::Graph*)
--- tt::run_optimization_graph_passes(tt::graphlib::Graph*)
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xfda39) [0x7fd3cccb8a39]
--- /opt/ttmlir-toolchain/venv/lib/python3.10/site-packages/forge/_C.so(+0xe0cf5) [0x7fd3ccc9bcf5]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x18ab32) [0x562a23307b32]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x562a232fe39b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x59c7) [0x562a232f7a97]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x562a232f2790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x562a232f2790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x562a232f39ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0x122) [0x562a23316172]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x562a232f4c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x562a232f4c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x562a232f39ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x562a232f7702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x562a233154d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x562a232f7702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x562a232fd61d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x562a2331262c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x562a2341a464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x562a232fe39b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x562a232f899e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x8af) [0x562a232f297f]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x562a232f4c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x562a232f39ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x562a232f7702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x562a233154d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x562a232f7702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x562a232fd61d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x562a2331262c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x562a2341a464]
--- /opt/ttmlir-toolchain/venv/bin/python(PyObject_Call+0xbb) [0x562a2331610b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x562a232f4c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x562a232f2790]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x562a233154d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x562a232f39ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x562a232f4c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x562a232f2790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x562a232f39ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x562a232f4c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x562a232f39ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x562a232f7702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x562a233154d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x562a232f7702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x562a232fd61d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x562a2331262c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x562a2341a464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x562a232fe39b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x562a232f899e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x562a232f4c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x562a232f39ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x562a232f7702]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x1984d1) [0x562a233154d1]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x5632) [0x562a232f7702]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_FastCallDictTstate+0x16d) [0x562a232fd61d]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_Call_Prepend+0x5c) [0x562a2331262c]
--- /opt/ttmlir-toolchain/venv/bin/python(+0x29d464) [0x562a2341a464]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyObject_MakeTpCall+0x25b) [0x562a232fe39b]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x68ce) [0x562a232f899e]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x562a232f2790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x6c0) [0x562a232f2790]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x2b60) [0x562a232f4c30]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyEval_EvalFrameDefault+0x18db) [0x562a232f39ab]
--- /opt/ttmlir-toolchain/venv/bin/python(_PyFunction_Vectorcall+0x7c) [0x562a2330838c]
|
|
test_stable_diffusion_xl.test_stable_diffusion_generation[stable-diffusion-xl-base-1.0]:
forge/test/models/pytorch/multimodal/stable_diffusion/test_stable_diffusion_xl.py#L64
NotImplementedError: Unknown output type: <class 'PIL.Image.Image'>
|
|
test_codegen.test_codegen[Salesforce/codegen-350M-mono]:
forge/test/models/pytorch/text/codegen/test_codegen.py#L74
AssertionError: Data mismatch on output 0 between framework and Forge codegen
|
|
test_gemma_2b.test_gemma_2b[google/gemma-2b]:
forge/test/models/pytorch/text/gemma/test_gemma_2b.py#L368
RuntimeError: Input count mismatch: expected 366, got 367
|
|
test_t5.test_t5_generation[t5-small]:
forge/test/models/pytorch/text/t5/test_t5.py#L168
ValueError: Data mismatch -> AutomaticValueChecker (compare_with_golden): framework_model=tensor([[[-21.42685, -7.10311, -13.34142, ..., -40.87328, -40.79771, -40.71077]]], grad_fn=<UnsafeViewBackward0>), compiled_model=tensor([[[ 15.12560, -7.13685, -9.70421, ..., -35.87063, -35.87774, -35.95815]]])
|
|
test_alexnet.test_alexnet_torchhub:
forge/test/models/pytorch/vision/alexnet/test_alexnet.py#L59
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_densenet.test_densenet_169_pytorch[densenet169]:
forge/test/models/pytorch/vision/densenet/test_densenet.py#L114
RuntimeError: Tensor 0 - stride mismatch: expected [150528, 50176, 224, 1], got [3, 1, 672, 3]
|
|
test_hrnet.test_hrnet_timm_pytorch[hrnet_w18_small]:
forge/test/models/pytorch/vision/hrnet/test_hrnet.py#L174
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_inception_v4.test_inception_v4_osmr_pytorch:
forge/test/models/pytorch/vision/inception/test_inception_v4.py#L48
RuntimeError: Tensor 47 - stride mismatch: expected [1225, 1], got [0, 0]
|
|
test_rcnn.test_rcnn_pytorch:
forge/test/models/pytorch/vision/rcnn/test_rcnn.py#L93
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_segformer.test_segformer_image_classification_pytorch[nvidia/mit-b0]:
forge/test/models/pytorch/vision/segformer/test_segformer.py#L61
RuntimeError: Failed to run MLIR compiler pass pipeline.
|
|
test_yolo_v5.test_yolov5_320x320[yolov5s]:
forge/test/models/onnx/vision/yolo/test_yolo_v5.py#L52
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
test_yolo_v6.test_yolo_v6_pytorch[yolov6n]:
forge/test/models/pytorch/vision/yolo/test_yolo_v6.py#L68
RuntimeError: Found Unsupported operations while lowering from TTForge to TTIR in forward graph
|
|
pre-commit / pre-commit
The `python-version` input is not set. The version of Python currently in `PATH` will be used.
|
|
docker-build / run-tests (n150, 1)
⚠️ Action requires a valid issue number (PR reference) to be able to attach a comment..
|
|
docker-build / run-tests (n300, 1)
⚠️ Action requires a valid issue number (PR reference) to be able to attach a comment..
|
|
docker-build / run-tests (n300, 2)
⚠️ Action requires a valid issue number (PR reference) to be able to attach a comment..
|
|
docker-build / run-tests (n150, 2)
⚠️ Action requires a valid issue number (PR reference) to be able to attach a comment..
|
Artifacts
Produced during runtime
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build-forge-ubuntu-latest
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test-log-n150-1
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test-log-n150-2
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test-log-n300-1
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test-log-n300-2
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231 KB |
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test-reports-n150-1
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8.84 KB |
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test-reports-n150-2
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9.88 KB |
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test-reports-n300-1
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8.8 KB |
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test-reports-n300-2
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9.81 KB |
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