[dynamo] fine-grained bytecode-source attribution in python 3.11 by williamwen42 · Pull Request #104676 · pytorch/pytorch

williamwen42 · 2023-07-06T00:18:28Z

Stack from ghstack (oldest at bottom):

-> [dynamo] fine-grained bytecode-source attribution in python 3.11 #104676

Since Python 3.11 bytecode contains endline and column information, for each bytecode, we attribute the source code corresponding to the bytecode in a more accurate way. For example, we can highlight a function call in a series of nested function calls, or highlight a function call spanning multiple lines.

Sample:

import torch
import torch._dynamo
from functorch.experimental.control_flow import cond

def h(x):
    return x * 5

def true_fn(x):
    return x * 2

def false_fn(x):
    return x * 3

def f(pred, x):
    x = h(
        h(h(x))
    )
    x = x[1:][:2]
    torch._dynamo.graph_break()
    x = cond(pred, true_fn, false_fn, [x])

opt_f = torch.compile(f, backend="eager")
opt_f(torch.tensor(True), torch.randn(3, 3, 3, 3))

Output:

$ TORCH_LOGS="trace_call" python playground9.py 
TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16
        h(h(x))
          ~^^^
TRACE FX call mul from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1)
    return x * 5
           ~~^~~
TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16
        h(h(x))
        ~^^^^^^
TRACE FX call mul_1 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1)
    return x * 5
           ~~^~~
TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:15
    x = h(
        ~^
        h(h(x))
        ^^^^^^^
    )
    ^
TRACE FX call mul_2 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1)
    return x * 5
           ~~^~~
TRACE FX call getitem from f /scratch/williamwen/work/pytorch/playground9.py:18
    x = x[1:][:2]
        ~^^^^
TRACE FX call getitem_1 from f /scratch/williamwen/work/pytorch/playground9.py:18
    x = x[1:][:2]
        ~~~~~^^^^
TRACE inlined call true_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20
    x = cond(pred, true_fn, false_fn, [x])
        ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TRACE FX call mul from true_fn /scratch/williamwen/work/pytorch/playground9.py:9 (inline depth: 1)
    return x * 2
           ~~^~~
TRACE inlined call false_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20
    x = cond(pred, true_fn, false_fn, [x])
        ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TRACE FX call mul from false_fn /scratch/williamwen/work/pytorch/playground9.py:12 (inline depth: 1)
    return x * 3
           ~~^~~
TRACE FX call cond from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20
    x = cond(pred, true_fn, false_fn, [x])
        ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames @anijain2305 @Xia-Weiwen @ipiszy @aakhundov

[ghstack-poisoned]

pytorch-bot · 2023-07-06T00:18:31Z

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/104676

📄 Preview Python docs built from this PR
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As of commit 84b4847:
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cc voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy chenyang78 [ghstack-poisoned]

ghstack-source-id: 15aeb89 Pull Request resolved: #104676

…n 3.11" Since Python 3.11 bytecode contains endline and column information, for each bytecode, we attribute the source code corresponding to the bytecode in a more accurate way. For example, we can highlight a function call in a series of nested function calls, or highlight a function call spanning multiple lines. cc voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy chenyang78 [ghstack-poisoned]

ghstack-source-id: 908c3ee Pull Request resolved: #104676

…n 3.11" Since Python 3.11 bytecode contains endline and column information, for each bytecode, we attribute the source code corresponding to the bytecode in a more accurate way. For example, we can highlight a function call in a series of nested function calls, or highlight a function call spanning multiple lines. cc voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy chenyang78 [ghstack-poisoned]

…n 3.11" Since Python 3.11 bytecode contains endline and column information, for each bytecode, we attribute the source code corresponding to the bytecode in a more accurate way. For example, we can highlight a function call in a series of nested function calls, or highlight a function call spanning multiple lines. Sample: ```python import torch import torch._dynamo from functorch.experimental.control_flow import cond def h(x): return x * 5 def true_fn(x): return x * 2 def false_fn(x): return x * 3 def f(pred, x): x = h( h(h(x)) ) x = x[1:][:2] torch._dynamo.graph_break() x = cond(pred, true_fn, false_fn, [x]) opt_f = torch.compile(f, backend="eager") opt_f(torch.tensor(True), torch.randn(3, 3, 3, 3)) ``` Output: ```shell $ TORCH_LOGS="trace_call" python playground9.py TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16 h(h(x)) ^^^^ TRACE call mul from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16 h(h(x)) ^^^^^^^ TRACE call mul_1 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:15 x = h( ^^ h(h(x)) ^^^^^^^ ) ^ TRACE call mul_2 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE call getitem from f /scratch/williamwen/work/pytorch/playground9.py:18 x = x[1:][:2] ~^^^^ TRACE call getitem_1 from f /scratch/williamwen/work/pytorch/playground9.py:18 x = x[1:][:2] ~~~~~^^^^ TRACE inlined call true_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TRACE call mul from true_fn /scratch/williamwen/work/pytorch/playground9.py:9 (inline depth: 1) return x * 2 ~~^~~ TRACE inlined call false_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TRACE call mul from false_fn /scratch/williamwen/work/pytorch/playground9.py:12 (inline depth: 1) return x * 3 ~~^~~ TRACE call cond from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ``` cc voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy chenyang78 [ghstack-poisoned]

ghstack-source-id: 3a67196 Pull Request resolved: #104676

torch/_dynamo/utils.py

test/dynamo/test_misc.py

test/dynamo/test_logging.py

torch/_dynamo/utils.py

…n 3.11" Since Python 3.11 bytecode contains endline and column information, for each bytecode, we attribute the source code corresponding to the bytecode in a more accurate way. For example, we can highlight a function call in a series of nested function calls, or highlight a function call spanning multiple lines. Sample: ```python import torch import torch._dynamo from functorch.experimental.control_flow import cond def h(x): return x * 5 def true_fn(x): return x * 2 def false_fn(x): return x * 3 def f(pred, x): x = h( h(h(x)) ) x = x[1:][:2] torch._dynamo.graph_break() x = cond(pred, true_fn, false_fn, [x]) opt_f = torch.compile(f, backend="eager") opt_f(torch.tensor(True), torch.randn(3, 3, 3, 3)) ``` Output: ```shell $ TORCH_LOGS="trace_call" python playground9.py TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16 h(h(x)) ^^^^ TRACE call mul from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16 h(h(x)) ^^^^^^^ TRACE call mul_1 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:15 x = h( ^^ h(h(x)) ^^^^^^^ ) ^ TRACE call mul_2 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE call getitem from f /scratch/williamwen/work/pytorch/playground9.py:18 x = x[1:][:2] ~^^^^ TRACE call getitem_1 from f /scratch/williamwen/work/pytorch/playground9.py:18 x = x[1:][:2] ~~~~~^^^^ TRACE inlined call true_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TRACE call mul from true_fn /scratch/williamwen/work/pytorch/playground9.py:9 (inline depth: 1) return x * 2 ~~^~~ TRACE inlined call false_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TRACE call mul from false_fn /scratch/williamwen/work/pytorch/playground9.py:12 (inline depth: 1) return x * 3 ~~^~~ TRACE call cond from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ``` cc voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy chenyang78 [ghstack-poisoned]

ghstack-source-id: dec45d6 Pull Request resolved: #104676

…n 3.11" Since Python 3.11 bytecode contains endline and column information, for each bytecode, we attribute the source code corresponding to the bytecode in a more accurate way. For example, we can highlight a function call in a series of nested function calls, or highlight a function call spanning multiple lines. Sample: ```python import torch import torch._dynamo from functorch.experimental.control_flow import cond def h(x): return x * 5 def true_fn(x): return x * 2 def false_fn(x): return x * 3 def f(pred, x): x = h( h(h(x)) ) x = x[1:][:2] torch._dynamo.graph_break() x = cond(pred, true_fn, false_fn, [x]) opt_f = torch.compile(f, backend="eager") opt_f(torch.tensor(True), torch.randn(3, 3, 3, 3)) ``` Output: ```shell $ TORCH_LOGS="trace_call" python playground9.py TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16 h(h(x)) ^^^^ TRACE call mul from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16 h(h(x)) ^^^^^^^ TRACE call mul_1 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:15 x = h( ^^ h(h(x)) ^^^^^^^ ) ^ TRACE call mul_2 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE call getitem from f /scratch/williamwen/work/pytorch/playground9.py:18 x = x[1:][:2] ~^^^^ TRACE call getitem_1 from f /scratch/williamwen/work/pytorch/playground9.py:18 x = x[1:][:2] ~~~~~^^^^ TRACE inlined call true_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TRACE call mul from true_fn /scratch/williamwen/work/pytorch/playground9.py:9 (inline depth: 1) return x * 2 ~~^~~ TRACE inlined call false_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TRACE call mul from false_fn /scratch/williamwen/work/pytorch/playground9.py:12 (inline depth: 1) return x * 3 ~~^~~ TRACE call cond from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ``` cc voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy chenyang78 [ghstack-poisoned]

ghstack-source-id: f9d9a02 Pull Request resolved: #104676

williamwen42 · 2023-07-19T23:03:21Z

@pytorchbot merge

pytorchmergebot · 2023-07-19T23:05:50Z

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pytorchmergebot · 2023-07-19T23:11:01Z

Merge failed

Reason: Command git -C /home/runner/work/pytorch/pytorch cherry-pick -x b592c975734ec51d3f44c42a450466c93315f9bf returned non-zero exit code 1

Auto-merging test/dynamo/test_logging.py
Auto-merging test/dynamo/test_misc.py
Auto-merging torch/_dynamo/output_graph.py
Auto-merging torch/_dynamo/resume_execution.py
Auto-merging torch/_dynamo/symbolic_convert.py
Auto-merging torch/_dynamo/utils.py
CONFLICT (content): Merge conflict in torch/_dynamo/utils.py
error: could not apply b592c975734... [dynamo] better trace_source logging in python 3.11
hint: After resolving the conflicts, mark them with
hint: "git add/rm <pathspec>", then run
hint: "git cherry-pick --continue".
hint: You can instead skip this commit with "git cherry-pick --skip".
hint: To abort and get back to the state before "git cherry-pick",
hint: run "git cherry-pick --abort".

Details for Dev Infra team

Raised by workflow job

…n 3.11" Since Python 3.11 bytecode contains endline and column information, for each bytecode, we attribute the source code corresponding to the bytecode in a more accurate way. For example, we can highlight a function call in a series of nested function calls, or highlight a function call spanning multiple lines. Sample: ```python import torch import torch._dynamo from functorch.experimental.control_flow import cond def h(x): return x * 5 def true_fn(x): return x * 2 def false_fn(x): return x * 3 def f(pred, x): x = h( h(h(x)) ) x = x[1:][:2] torch._dynamo.graph_break() x = cond(pred, true_fn, false_fn, [x]) opt_f = torch.compile(f, backend="eager") opt_f(torch.tensor(True), torch.randn(3, 3, 3, 3)) ``` Output: ```shell $ TORCH_LOGS="trace_call" python playground9.py TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16 h(h(x)) ^^^^ TRACE call mul from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:16 h(h(x)) ^^^^^^^ TRACE call mul_1 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE inlined call h from f /scratch/williamwen/work/pytorch/playground9.py:15 x = h( ^^ h(h(x)) ^^^^^^^ ) ^ TRACE call mul_2 from h /scratch/williamwen/work/pytorch/playground9.py:6 (inline depth: 1) return x * 5 ~~^~~ TRACE call getitem from f /scratch/williamwen/work/pytorch/playground9.py:18 x = x[1:][:2] ~^^^^ TRACE call getitem_1 from f /scratch/williamwen/work/pytorch/playground9.py:18 x = x[1:][:2] ~~~~~^^^^ TRACE inlined call true_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TRACE call mul from true_fn /scratch/williamwen/work/pytorch/playground9.py:9 (inline depth: 1) return x * 2 ~~^~~ TRACE inlined call false_fn from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TRACE call mul from false_fn /scratch/williamwen/work/pytorch/playground9.py:12 (inline depth: 1) return x * 3 ~~^~~ TRACE call cond from <resume in f> /scratch/williamwen/work/pytorch/playground9.py:20 x = cond(pred, true_fn, false_fn, [x]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ``` cc voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy chenyang78 aakhundov [ghstack-poisoned]

ghstack-source-id: 3b742e8 Pull Request resolved: #104676

williamwen42 · 2023-07-20T17:16:51Z

@pytorchbot merge

pytorchmergebot · 2023-07-20T17:18:49Z

Merge started

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[dynamo] better trace_source logging in python 3.11

bc55ed8

[ghstack-poisoned]

williamwen42 mentioned this pull request Jul 6, 2023

[dynamo] New logging artifacts for source code attribution #104013

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williamwen42 mentioned this pull request Jul 6, 2023

[dynamo] add logging artifact for traced graph tensor sizes #104672

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github-actions bot added module: dynamo ciflow/inductor labels Jul 6, 2023

Update on "[dynamo] better trace_source logging in python 3.11"

47fdba4

cc voznesenskym penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx ipiszy chenyang78 [ghstack-poisoned]

williamwen42 added a commit that referenced this pull request Jul 6, 2023

[dynamo] better trace_source logging in python 3.11

21dbe5e

ghstack-source-id: 15aeb89 Pull Request resolved: #104676

williamwen42 changed the title ~~[dynamo] better trace_source logging in python 3.11~~ [dynamo] fine-grained bytecode-source attribution in python 3.11 Jul 7, 2023

williamwen42 added a commit that referenced this pull request Jul 8, 2023

[dynamo] better trace_source logging in python 3.11

a5f87c9

ghstack-source-id: 908c3ee Pull Request resolved: #104676

williamwen42 requested review from ezyang and voznesenskym July 10, 2023 22:12

williamwen42 mentioned this pull request Jul 11, 2023

[dynamo] fix bug where trace_source and graph_sizes artifacts were not being printed with TORCH_LOGS='+dynamo' #104912

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williamwen42 added a commit that referenced this pull request Jul 11, 2023

[dynamo] better trace_source logging in python 3.11

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ghstack-source-id: 3a67196 Pull Request resolved: #104676

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[dynamo] better trace_source logging in python 3.11

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ghstack-source-id: dec45d6 Pull Request resolved: #104676

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[dynamo] better trace_source logging in python 3.11

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ghstack-source-id: f9d9a02 Pull Request resolved: #104676

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[dynamo] better trace_source logging in python 3.11

decd814

ghstack-source-id: 3b742e8 Pull Request resolved: #104676

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williamwen42 mentioned this pull request Jul 20, 2023

Support multi-line error locations in traceback and other related improvements (PEP-657, 3.11) python/cpython#106922

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[dynamo] fine-grained bytecode-source attribution in python 3.11#104676

[dynamo] fine-grained bytecode-source attribution in python 3.11#104676
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williamwen42 commented Jul 6, 2023 •

edited by pytorch-bot bot

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pytorch-bot bot commented Jul 6, 2023 •

edited

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