pytorch · jiannanWang · Apr 1, 2026 · Apr 1, 2026
diff --git a/.jenkins/build.sh b/.jenkins/build.sh
@@ -58,9 +58,6 @@ if [[ "${JOB_TYPE}" == "worker" ]]; then
   # TODO: Fix bugs in these tutorials to make them runnable again
   # python $DIR/remove_runnable_code.py beginner_source/audio_classifier_tutorial.py beginner_source/audio_classifier_tutorial.py || true
 
-  # Remove runnable code from tensorboard_profiler_tutorial.py as it frequently crashes, see https://github.com/pytorch/pytorch/issues/74139
-  # python $DIR/remove_runnable_code.py intermediate_source/tensorboard_profiler_tutorial.py intermediate_source/tensorboard_profiler_tutorial.py || true
-
   # Step 2: Keep certain tutorials based on file count, and remove runnable code in all other tutorials
   # IMPORTANT NOTE: We assume that each tutorial has a UNIQUE filename.
   FILES_TO_RUN=$(python .jenkins/get_files_to_run.py)

diff --git a/.jenkins/validate_tutorials_built.py b/.jenkins/validate_tutorials_built.py
@@ -36,7 +36,6 @@
     "recipes_source/recipes/timer_quick_start",
     "recipes_source/recipes/amp_recipe",
     "recipes_source/recipes/Captum_Recipe",
-    "intermediate_source/tensorboard_profiler_tutorial", # reenable after 2.0 release.
     "advanced_source/semi_structured_sparse", # reenable after 3303 is fixed.
     "intermediate_source/torchrec_intro_tutorial.py", #failing with 2.8 reenable after 3498
     "beginner_source/mosaic_memory_profiling_tutorial.py",  # failing with 2.11 issue #3774

diff --git a/.lintrunner.toml b/.lintrunner.toml
@@ -61,7 +61,6 @@ exclude_patterns = [
     "intermediate_source/per_sample_grads.py",
     "intermediate_source/pruning_tutorial.py",
     "intermediate_source/reinforcement_q_learning.py",
-    "intermediate_source/tensorboard_profiler_tutorial.py",
     "intermediate_source/torch_compile_tutorial.py",
     "intermediate_source/transformer_building_blocks.py",
     "unstable_source/README.md",

diff --git a/_static/img/profiler_callstack.png b/_static/img/profiler_callstack.png
diff --git a/_static/img/profiler_distributed_view.png b/_static/img/profiler_distributed_view.png
diff --git a/_static/img/profiler_kernel_view.png b/_static/img/profiler_kernel_view.png
diff --git a/_static/img/profiler_memory_curve_selecting.png b/_static/img/profiler_memory_curve_selecting.png
diff --git a/_static/img/profiler_memory_curve_single.png b/_static/img/profiler_memory_curve_single.png
diff --git a/_static/img/profiler_memory_view.png b/_static/img/profiler_memory_view.png
diff --git a/_static/img/profiler_operator_view.png b/_static/img/profiler_operator_view.png
diff --git a/_static/img/profiler_overview1.png b/_static/img/profiler_overview1.png
diff --git a/_static/img/profiler_overview2.png b/_static/img/profiler_overview2.png
diff --git a/_static/img/profiler_rocm_chrome_trace_view.png b/_static/img/profiler_rocm_chrome_trace_view.png
diff --git a/_static/img/profiler_rocm_tensorboard_operartor_view.png b/_static/img/profiler_rocm_tensorboard_operartor_view.png
diff --git a/_static/img/profiler_trace_view1.png b/_static/img/profiler_trace_view1.png
diff --git a/_static/img/profiler_trace_view2.png b/_static/img/profiler_trace_view2.png
diff --git a/_static/img/profiler_trace_view_fwd_bwd.png b/_static/img/profiler_trace_view_fwd_bwd.png
diff --git a/_static/img/profiler_views_list.png b/_static/img/profiler_views_list.png
diff --git a/_static/img/profiler_vscode.png b/_static/img/profiler_vscode.png
diff --git a/ecosystem.rst b/ecosystem.rst
@@ -49,13 +49,6 @@ to production deployment.
    :link: intermediate/ax_multiobjective_nas_tutorial.html
    :tags: Model-Optimization,Best-Practice,Ax,TorchX,Ecosystem
 
-.. customcarditem::
-   :header: Performance Profiling in TensorBoard
-   :card_description: Learn how to use the TensorBoard plugin to profile and analyze your model's performance.
-   :image: _static/img/thumbnails/cropped/profiler.png
-   :link: intermediate/tensorboard_profiler_tutorial.html
-   :tags: Model-Optimization,Best-Practice,Profiling,TensorBoard,Ecosystem
-
 .. customcarditem::
    :header: Real Time Inference on Raspberry Pi 4
    :card_description: This tutorial covers how to run quantized and fused models on a Raspberry Pi 4 at 30 fps.
@@ -88,7 +81,6 @@ to production deployment.
    beginner/hyperparameter_tuning_tutorial
    beginner/serving_tutorial
    intermediate/ax_multiobjective_nas_tutorial
-   intermediate/tensorboard_profiler_tutorial
    intermediate/realtime_rpi
    beginner/mosaic_memory_profiling_tutorial
    beginner/distributed_training_with_ray_tutorial
diff --git a/index.rst b/index.rst
@@ -507,13 +507,6 @@ Welcome to PyTorch Tutorials
    :link: beginner/profiler.html
    :tags: Model-Optimization,Best-Practice,Profiling
 
-.. customcarditem::
-   :header: Performance Profiling in TensorBoard
-   :card_description: Learn how to use the TensorBoard plugin to profile and analyze your model's performance.
-   :image: _static/img/thumbnails/cropped/profiler.png
-   :link: intermediate/tensorboard_profiler_tutorial.html
-   :tags: Model-Optimization,Best-Practice,Profiling,TensorBoard
-
 .. customcarditem::
    :header: Hyperparameter Tuning Tutorial
    :card_description: Learn how to use Ray Tune to find the best performing set of hyperparameters for your model.