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🔧 PyTorch Introductory Experiments


Nachrichtenbereich: 🔧 Programmierung
🔗 Quelle: dev.to

PyTorch Introductory Experiments


In this project, I will revisit some of my previous basic TensorFlow Deep Learning experiments / training exercises



Trying Out TensorFlow Lite Hello World Model... [Weiterlesen]

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💾 trunk/46931e0e655d691efc0bf431ab0fe920e7db871a: Remove plain asserts in torch/_dynamo/source.py (#182171)


📈 564.78 Punkte
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💾 trunk/873eaeb74249197dc7de29303aed4fcf47823949: [BE] Build all CUDA wheels per (arch, cuda) on a single runner (#184045)


📈 403.41 Punkte
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💾 ciflow/trunk/182326: Update on "Add tearDown checks for torch function state leaks"


📈 403.41 Punkte
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💾 trunk/33004619eb042c0a6b85db3e2e17a6409b89219d: [DTensor] Use explicit hints for unbacked sharding (#183545)


📈 363.07 Punkte
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🔧 Shai-Hulud Malware in PyTorch Lightning: What Actually Happened and How to Check Your Environment


📈 309.28 Punkte
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💾 ciflow/torchtitan/186020: Reintroduce ptxas bundling for CUDA 13.0 binaries


📈 282.39 Punkte
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💾 trunk/419b2d0b867ae2c6481a0f87c1e99e02ea4b3dc0: Remove plain asserts in torch/_dynamo/compiled_autograd.py (#182164)


📈 282.39 Punkte
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💾 trunk/55811c3e7b01509262d4e7862c15eb17b439ceae: [ATen][FakeTensor] Handle unbacked dims in folded matmul (#183397)


📈 268.94 Punkte
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🔧 How I Achieved 2.9 PyTorch Training Speedup with One Line of Code


📈 261 Punkte
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💾 trunk/826ab493be5714d267a00badb3773e0d9b78e00f: [Dynamo] Remove has_unpack_var_sequence (#185153)


📈 255.5 Punkte
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🔧 Convert Tensorflow to Pytorch Model. in 2025?


📈 255.5 Punkte
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💾 trunk/421abac1a6353b99c40bc4bdb69ffb028f098df9: Revert XPU device-wide synchronization (#187306)


📈 242.05 Punkte
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💾 trunk/98b772f8ab86176b8e0b572d88f4e09510c1b587: [Inductor] Handle hinted and fallback unbacked symbols (#183840)


📈 242.05 Punkte
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💾 trunk/151e7e0cbb86bb29c72bc5b116670ed3221cb5e5: [inductor] Support InductorBenchmarker for non-CUDA device (#184567)


📈 242.05 Punkte
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💾 trunk/12bca9da60b36ba38935e1305bd266bdaf1f5d1e: Run EC2 and OSDC in parallel on trunk via ciflow tag pushes (#183482)


📈 242.05 Punkte
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💾 trunk/646f5c9c27d4293b87fbef024c59209f26c4e4b6: Fix Dynamo defaultdict shallow copy (copy.copy / __copy__) (#186758)


📈 228.6 Punkte
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🔧 AWS re:Invent 2025 - Break through AI performance and cost barriers with AWS Trainium (AIM201)


📈 228.6 Punkte
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🔧 Building a plugin system - WebAssembly Component Model


📈 225.75 Punkte
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🔧 TensorFlow vs PyTorch: The Real Difference Isn't Accuracy


📈 219.44 Punkte
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💾 viable/strict/1781106114: [TESTING] Append rules to sample skips and xfails (#185905)


📈 215.15 Punkte
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💾 trunk/108ac9f904a0b4a7fa837f27bff6ae80465080b4: [typing] Fix return type annotations for various functions (#170396)


📈 208.43 Punkte
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💾 viable/strict/1780616745: [inductor] Fix module exhaustion during exhaustive tuning (#184285)


📈 208.43 Punkte
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💾 viable/strict/1780614985: Build torch._C extension module and version.py via CMake (#180243)


📈 201.71 Punkte
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💾 viable/strict/1780178955: Use SVE `exp_u20`/`fexp_u20` for SVE128 (#184341)


📈 201.71 Punkte
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💾 trunk/eaa777900b14e1aa6ffc1959cbcdb055d5de3e75: Update third_party/kineto submodule to 7739225 (#182973)


📈 201.71 Punkte
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💾 trunk/9954ca57923e230e51901bf08265f69c47969702: Remove plain asserts in torch/_dynamo/ (more top level files) (#182162)


📈 201.71 Punkte
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🔧 PyTorch vs TensorFlow 2025: Which one wins after 72 hours?


📈 194.98 Punkte
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🔧 Terkuak! Pertarungan Sengit TensorFlow vs PyTorch: Siapa Sebenarnya Raja AI yang Wajib Anda Kuasai?


📈 194.98 Punkte
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🔧 PyTrees Are Not One Thing: JAX, PyTorch, and TensorFlow Compared


📈 181.54 Punkte
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💾 trunk/9c77ff51b6b2a30dc0964289e54c55b3f1bcdf13: Fix functional accumulate_grad state modeling (#184082)


📈 181.54 Punkte
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🔧 The Great AI Convergence: PyTorch vs. TensorFlow in 2026


📈 181.54 Punkte
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💾 trunk/2a9d5cb7a5d6b8a870f4a992f570599c38e4ef68: [BE] Build all aarch64 + x86 CPU wheels on a single runner (#183931)


📈 174.81 Punkte
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💾 trunk/01399c7c630cea29aeba8b64ed17be1caf549b4c: [ROCm][CI] add gfx950 CDNA2OrLater() in common_cuda.py (#183599)


📈 174.81 Punkte
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🔧 Qlib - 模型训练和预测(Model Training & Prediction)


📈 174.81 Punkte
🔧 Programmierung

🔧 Project of the Week: PyTorch


📈 174.81 Punkte
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