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Uplift PyBuda changes (week29)#39

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vmilosevic merged 48 commits intomaintenstorrent/tt-buda:mainfrom vmilosevic/uplift-week29tenstorrent/tt-buda:vmilosevic/uplift-week29Copy head branch name to clipboardAug 13, 2024

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Commits on Jul 24, 2024

• Patch perceiverio, segformer, tri_basic_2 model ci failures

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  chandrasekaranpradeep

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• Fix pybuda pipeline failures (24/06)

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• Add tests according to test-plan for sparse matmul

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• Rework epoch break

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• FE changes for multichip multi card data parallel

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• Fix fuse parse error in DistilBert

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• Remove Models in Push Pipeline

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• Fix pybuda pipeline failures (26/06/2024)

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• Removed few models in tests_A

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• Fix dla and efficientnet model ci failures

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• Fix ddrnet core dump issue

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• Add tests for yolox(pytorch) model - GS(e300 & e150)

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• Save failing tests separately

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• Move random seeds to test_context

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• Random input order

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• [tti] add warning when trying to save TTI image with CPUDevice

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• Remove few models in tests_B

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• BBE update to bbe_to_pybuda_release_20240612_week24

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• Add fix for pybuda nighly failures

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• Remove Partially compiled models

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• [Blackhole] Add 64 byte host queue alignment

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• [CCM] Reconstruct and reorganize internal and customer files and update ci script

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• Remove nlp onnx models in push pipeline

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• MNIST overfit, PyTorch vs PyBuda

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• Add yaml configurations for yolox-n,t,s,m(e300,e150) demo script -pytorch

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• MNIST Training: Support for loss on TT device

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• Use property for datatypes

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• Fix randomize size

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• Constant input for RGG graphs

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• Operator tests utils

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• Remove models nlp pytorch

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• [Blackhole] Fix issue with DRAM channel size

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• Refactor multicard dp API to bypass compile/shutdown on multiple runs

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• Upgrade onnx and onnxruntime, make necessary docker/make changes

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• Remove nlp tensorflow models

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• Test all element-wise binary operators according to test plan

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• NetlistValidation utils

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• Decompose downsample 2d for non-square shape and add channel last support

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• Quantize-Dequantize Support

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• Add BOS models and also fix confidential_customer_model hash

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• fix galaxy sanity test

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• Move binary models

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• Documenting RGG test commands

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• Debugging graph building errors

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• [Blackhole] Don't use top 16MB of dram channels when allocating queues

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• [TVM] Decompose repeat_interleave pytorch op and add sanity test

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• Update BBE submodule to week29

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• Update tvm and demos subomdules

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