TORCH_TRACE and tlparse

Update: 2024-04-29

Description

TORCH_TRACE and tlparse are a structured log and log parser for PyTorch 2. It gives useful information about what code was compiled and what the intermediate build products look like.

Comments

In Channel

Compiler collectives

2024-08-0416:33

TORCH_TRACE and tlparse

2024-04-2915:28

Higher order operators

2024-04-2117:10

Inductor - Post-grad FX passes

2024-04-1224:07

CUDA graph trees

2024-03-2420:50

Min-cut partitioner

2024-03-1715:56

AOTInductor

2024-03-0217:30

Tensor subclasses and PT2

2024-02-2413:25

Compiled autograd

2024-02-1918:07

PT2 extension points

2024-02-0515:54

Inductor - Define-by-run IR

2024-01-2412:06

Unsigned integers

2024-01-1713:07

Inductor - IR

2024-01-1618:00

Dynamo - VariableTracker

2024-01-1215:55

Unbacked SymInts

2023-02-2121:31

Zero-one specialization

2023-02-2021:07

torchdynamo

2022-12-0625:35

PyTorch 2.0

2022-12-0417:51

History of functorch

2022-11-0719:10

Learning rate schedulers

2022-06-1319:35

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#box-pro-ellipsis-175798061341654{-webkit-line-clamp:2;}TORCH_TRACE and tlparse

TORCH_TRACE and tlparse

PyTorch

TORCH_TRACE and tlparse