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Computation times#

00:00.000 total execution time for 35 files from intermediate:

Example

Time

Mem (MB)

Hooks for autograd saved tensors (autograd_saved_tensors_hooks_tutorial.py)

00:00.000

0.0

Multi-Objective NAS with Ax (ax_multiobjective_nas_tutorial.py)

00:00.000

0.0

NLP From Scratch: Classifying Names with a Character-Level RNN (char_rnn_classification_tutorial.py)

00:00.000

0.0

NLP From Scratch: Generating Names with a Character-Level RNN (char_rnn_generation_tutorial.py)

00:00.000

0.0

Fusing Convolution and Batch Norm using Custom Function (custom_function_conv_bn_tutorial.py)

00:00.000

0.0

Recurrent DQN: Training recurrent policies (dqn_with_rnn_tutorial.py)

00:00.000

0.0

Model ensembling (ensembling.py)

00:00.000

0.0

Forward-mode Automatic Differentiation (Beta) (forward_ad_usage.py)

00:00.000

0.0

(beta) Building a Simple CPU Performance Profiler with FX (fx_profiling_tutorial.py)

00:00.000

0.0

Inductor CPU backend debugging and profiling (inductor_debug_cpu.py)

00:00.000

0.0

Jacobians, Hessians, hvp, vhp, and more: composing function transforms (jacobians_hessians.py)

00:00.000

0.0

Train a Mario-playing RL Agent (mario_rl_tutorial.py)

00:00.000

0.0

Channels Last Memory Format in PyTorch (memory_format_tutorial.py)

00:00.000

0.0

sphx_glr_intermediate_mnist_train_nas.py (mnist_train_nas.py)

00:00.000

0.0

Neural Tangent Kernels (neural_tangent_kernels.py)

00:00.000

0.0

How to save memory by fusing the optimizer step into the backward pass (optimizer_step_in_backward_tutorial.py)

00:00.000

0.0

Parametrizations Tutorial (parametrizations.py)

00:00.000

0.0

Per-sample-gradients (per_sample_grads.py)

00:00.000

0.0

A guide on good usage of non_blocking and pin_memory() in PyTorch (pinmem_nonblock.py)

00:00.000

0.0

Pruning Tutorial (pruning_tutorial.py)

00:00.000

0.0

Reinforcement Learning (PPO) with TorchRL Tutorial (reinforcement_ppo.py)

00:00.000

0.0

Reinforcement Learning (DQN) Tutorial (reinforcement_q_learning.py)

00:00.000

0.0

(Beta) Implementing High-Performance Transformers with Scaled Dot Product Attention (SDPA) (scaled_dot_product_attention_tutorial.py)

00:00.000

0.0

NLP From Scratch: Translation with a Sequence to Sequence Network and Attention (seq2seq_translation_tutorial.py)

00:00.000

0.0

Spatial Transformer Networks Tutorial (spatial_transformer_tutorial.py)

00:00.000

0.0

PyTorch Profiler With TensorBoard (tensorboard_profiler_tutorial.py)

00:00.000

0.0

Building a Convolution/Batch Norm fuser with torch.compile (torch_compile_conv_bn_fuser.py)

00:00.000

0.0

torch.compile End-to-End Tutorial (torch_compile_full_example.py)

00:00.000

0.0

Introduction to torch.compile (torch_compile_tutorial.py)

00:00.000

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torch.export Tutorial (torch_export_tutorial.py)

00:00.000

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Introduction to TorchRec (torchrec_intro_tutorial.py)

00:00.000

0.0

TorchVision Object Detection Finetuning Tutorial (torchvision_tutorial.py)

00:00.000

0.0

Accelerating PyTorch Transformers by replacing nn.Transformer with Nested Tensors and torch.compile() (transformer_building_blocks.py)

00:00.000

0.0

Using Variable Length Attention in PyTorch (variable_length_attention_tutorial.py)

00:00.000

0.0

Visualizing Gradients (visualizing_gradients_tutorial.py)

00:00.000

0.0