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Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch ` Support Level: SUPPORTED @@ -739,7 +739,7 @@ constrain_as_value_example .. note:: - Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value ` + Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch ` Support Level: SUPPORTED @@ -999,7 +999,7 @@ dynamic_shape_if_guard .. note:: - Tags: :doc:`torch.dynamic-shape `, :doc:`python.control-flow ` + Tags: :doc:`python.control-flow `, :doc:`torch.dynamic-shape ` Support Level: SUPPORTED @@ -1263,7 +1263,7 @@ list_contains .. note:: - Tags: :doc:`python.assert `, :doc:`torch.dynamic-shape `, :doc:`python.data-structure ` + Tags: :doc:`python.assert `, :doc:`python.data-structure `, :doc:`torch.dynamic-shape ` Support Level: SUPPORTED @@ -1310,7 +1310,7 @@ list_unpack .. note:: - Tags: :doc:`python.data-structure `, :doc:`python.control-flow ` + Tags: :doc:`python.control-flow `, :doc:`python.data-structure ` Support Level: SUPPORTED @@ -2044,6 +2044,6 @@ Result: .. code-block:: - Unsupported: torch.* op returned non-Tensor int call_function + Unsupported: torch.* op returned non-Tensor int call_function diff --git a/2.4/_sources/generated/exportdb/python.assert.rst.txt b/2.4/_sources/generated/exportdb/python.assert.rst.txt index 4f4386dfaa..6d56582748 100644 --- a/2.4/_sources/generated/exportdb/python.assert.rst.txt +++ b/2.4/_sources/generated/exportdb/python.assert.rst.txt @@ -52,7 +52,7 @@ list_contains .. note:: - Tags: :doc:`python.assert `, :doc:`torch.dynamic-shape `, :doc:`python.data-structure ` + Tags: :doc:`python.assert `, :doc:`python.data-structure `, :doc:`torch.dynamic-shape ` Support Level: SUPPORTED diff --git a/2.4/_sources/generated/exportdb/python.control-flow.rst.txt b/2.4/_sources/generated/exportdb/python.control-flow.rst.txt index 101951656b..aaea843b95 100644 --- a/2.4/_sources/generated/exportdb/python.control-flow.rst.txt +++ b/2.4/_sources/generated/exportdb/python.control-flow.rst.txt @@ -5,7 +5,7 @@ dynamic_shape_if_guard .. note:: - Tags: :doc:`torch.dynamic-shape `, :doc:`python.control-flow ` + Tags: :doc:`python.control-flow `, :doc:`torch.dynamic-shape ` Support Level: SUPPORTED @@ -52,7 +52,7 @@ list_unpack .. note:: - Tags: :doc:`python.data-structure `, :doc:`python.control-flow ` + Tags: :doc:`python.control-flow `, :doc:`python.data-structure ` Support Level: SUPPORTED diff --git a/2.4/_sources/generated/exportdb/python.data-structure.rst.txt b/2.4/_sources/generated/exportdb/python.data-structure.rst.txt index ba2c206c88..3ec1e2289e 100644 --- a/2.4/_sources/generated/exportdb/python.data-structure.rst.txt +++ b/2.4/_sources/generated/exportdb/python.data-structure.rst.txt @@ -118,7 +118,7 @@ list_contains .. note:: - Tags: :doc:`python.assert `, :doc:`torch.dynamic-shape `, :doc:`python.data-structure ` + Tags: :doc:`python.assert `, :doc:`python.data-structure `, :doc:`torch.dynamic-shape ` Support Level: SUPPORTED @@ -165,7 +165,7 @@ list_unpack .. note:: - Tags: :doc:`python.data-structure `, :doc:`python.control-flow ` + Tags: :doc:`python.control-flow `, :doc:`python.data-structure ` Support Level: SUPPORTED diff --git a/2.4/_sources/generated/exportdb/torch.dynamic-shape.rst.txt b/2.4/_sources/generated/exportdb/torch.dynamic-shape.rst.txt index a20900c1b2..df54a9fede 100644 --- a/2.4/_sources/generated/exportdb/torch.dynamic-shape.rst.txt +++ b/2.4/_sources/generated/exportdb/torch.dynamic-shape.rst.txt @@ -458,7 +458,7 @@ dynamic_shape_if_guard .. note:: - Tags: :doc:`torch.dynamic-shape `, :doc:`python.control-flow ` + Tags: :doc:`python.control-flow `, :doc:`torch.dynamic-shape ` Support Level: SUPPORTED @@ -698,7 +698,7 @@ list_contains .. note:: - Tags: :doc:`python.assert `, :doc:`torch.dynamic-shape `, :doc:`python.data-structure ` + Tags: :doc:`python.assert `, :doc:`python.data-structure `, :doc:`torch.dynamic-shape ` Support Level: SUPPORTED diff --git a/2.4/_sources/generated/exportdb/torch.dynamic-value.rst.txt b/2.4/_sources/generated/exportdb/torch.dynamic-value.rst.txt index c05ca55dc2..2e8ca3dd8c 100644 --- a/2.4/_sources/generated/exportdb/torch.dynamic-value.rst.txt +++ b/2.4/_sources/generated/exportdb/torch.dynamic-value.rst.txt @@ -5,7 +5,7 @@ constrain_as_size_example .. note:: - Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value ` + Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch ` Support Level: SUPPORTED @@ -69,7 +69,7 @@ constrain_as_value_example .. note:: - Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value ` + Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch ` Support Level: SUPPORTED diff --git a/2.4/_sources/generated/exportdb/torch.escape-hatch.rst.txt b/2.4/_sources/generated/exportdb/torch.escape-hatch.rst.txt index 8db8d539b9..13733bb1b1 100644 --- a/2.4/_sources/generated/exportdb/torch.escape-hatch.rst.txt +++ b/2.4/_sources/generated/exportdb/torch.escape-hatch.rst.txt @@ -55,7 +55,7 @@ constrain_as_size_example .. note:: - Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value ` + Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch ` Support Level: SUPPORTED @@ -119,7 +119,7 @@ constrain_as_value_example .. note:: - Tags: :doc:`torch.escape-hatch `, :doc:`torch.dynamic-value ` + Tags: :doc:`torch.dynamic-value `, :doc:`torch.escape-hatch ` Support Level: SUPPORTED diff --git a/2.4/_sources/generated/exportdb/torch.operator.rst.txt b/2.4/_sources/generated/exportdb/torch.operator.rst.txt index 654b765e4c..7c6a6a8c9e 100644 --- a/2.4/_sources/generated/exportdb/torch.operator.rst.txt +++ b/2.4/_sources/generated/exportdb/torch.operator.rst.txt @@ -31,4 +31,4 @@ Result: .. code-block:: - Unsupported: torch.* op returned non-Tensor int call_function + Unsupported: torch.* op returned non-Tensor int call_function diff --git a/2.4/generated/exportdb/index.html b/2.4/generated/exportdb/index.html index be714d9e2e..222e80b5ef 100644 --- a/2.4/generated/exportdb/index.html +++ b/2.4/generated/exportdb/index.html @@ -1107,7 +1107,7 @@

cond_predicate¶

Note

-

Tags: torch.escape-hatch, torch.dynamic-value

+

Tags: torch.dynamic-value, torch.escape-hatch

Support Level: SUPPORTED

Original source code:

@@ -1163,7 +1163,7 @@

constrain_as_size_example¶

Note

-

Tags: torch.escape-hatch, torch.dynamic-value

+

Tags: torch.dynamic-value, torch.escape-hatch

Support Level: SUPPORTED

Original source code:

@@ -1383,7 +1383,7 @@

dynamic_shape_constructor¶

Note

-

Tags: torch.dynamic-shape, python.control-flow

+

Tags: python.control-flow, torch.dynamic-shape

Support Level: SUPPORTED

Original source code:

@@ -1607,7 +1607,7 @@

fn_with_kwargs¶

Note

-

Tags: python.assert, torch.dynamic-shape, python.data-structure

+

Tags: python.assert, python.data-structure, torch.dynamic-shape

Support Level: SUPPORTED

Original source code:

@@ -1646,7 +1646,7 @@

list_contains¶

Note

-

Tags: python.data-structure, python.control-flow

+

Tags: python.control-flow, python.data-structure

Support Level: SUPPORTED

Original source code:

@@ -2257,7 +2257,7 @@

torch_sym_min
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7f4663957ca0>
+
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7f4817597ca0>
diff --git a/2.4/generated/exportdb/python.assert.html b/2.4/generated/exportdb/python.assert.html index b89db62890..3f51ea151b 100644 --- a/2.4/generated/exportdb/python.assert.html +++ b/2.4/generated/exportdb/python.assert.html @@ -558,7 +558,7 @@

dynamic_shape_assertlist_contains¶

Note

-

Tags: python.assert, torch.dynamic-shape, python.data-structure

+

Tags: python.assert, python.data-structure, torch.dynamic-shape

Support Level: SUPPORTED

Original source code:

diff --git a/2.4/generated/exportdb/python.control-flow.html b/2.4/generated/exportdb/python.control-flow.html index 15152ad4a3..7783fb1530 100644 --- a/2.4/generated/exportdb/python.control-flow.html +++ b/2.4/generated/exportdb/python.control-flow.html @@ -519,7 +519,7 @@

python.control-flow¶

Note

-

Tags: torch.dynamic-shape, python.control-flow

+

Tags: python.control-flow, torch.dynamic-shape

Support Level: SUPPORTED

Original source code:

@@ -558,7 +558,7 @@

dynamic_shape_if_guardlist_unpack¶

Note

-

Tags: python.data-structure, python.control-flow

+

Tags: python.control-flow, python.data-structure

Support Level: SUPPORTED

Original source code:

diff --git a/2.4/generated/exportdb/python.data-structure.html b/2.4/generated/exportdb/python.data-structure.html index 8cbe40c54b..3cbb11d623 100644 --- a/2.4/generated/exportdb/python.data-structure.html +++ b/2.4/generated/exportdb/python.data-structure.html @@ -616,7 +616,7 @@

fn_with_kwargs¶

Note

-

Tags: python.assert, torch.dynamic-shape, python.data-structure

+

Tags: python.assert, python.data-structure, torch.dynamic-shape

Support Level: SUPPORTED

Original source code:

@@ -655,7 +655,7 @@

list_contains¶

Note

-

Tags: python.data-structure, python.control-flow

+

Tags: python.control-flow, python.data-structure

Support Level: SUPPORTED

Original source code:

diff --git a/2.4/generated/exportdb/torch.dynamic-shape.html b/2.4/generated/exportdb/torch.dynamic-shape.html index 672e6991d8..32f2d74617 100644 --- a/2.4/generated/exportdb/torch.dynamic-shape.html +++ b/2.4/generated/exportdb/torch.dynamic-shape.html @@ -924,7 +924,7 @@

dynamic_shape_constructor¶

Note

-

Tags: torch.dynamic-shape, python.control-flow

+

Tags: python.control-flow, torch.dynamic-shape

Support Level: SUPPORTED

Original source code:

@@ -1125,7 +1125,7 @@

dynamic_shape_view¶

Note

-

Tags: python.assert, torch.dynamic-shape, python.data-structure

+

Tags: python.assert, python.data-structure, torch.dynamic-shape

Support Level: SUPPORTED

Original source code:

diff --git a/2.4/generated/exportdb/torch.dynamic-value.html b/2.4/generated/exportdb/torch.dynamic-value.html index 8e9d6ca95c..d6cf49a258 100644 --- a/2.4/generated/exportdb/torch.dynamic-value.html +++ b/2.4/generated/exportdb/torch.dynamic-value.html @@ -519,7 +519,7 @@

torch.dynamic-value¶

Note

-

Tags: torch.escape-hatch, torch.dynamic-value

+

Tags: torch.dynamic-value, torch.escape-hatch

Support Level: SUPPORTED

Original source code:

@@ -575,7 +575,7 @@

constrain_as_size_example¶

Note

-

Tags: torch.escape-hatch, torch.dynamic-value

+

Tags: torch.dynamic-value, torch.escape-hatch

Support Level: SUPPORTED

Original source code:

diff --git a/2.4/generated/exportdb/torch.escape-hatch.html b/2.4/generated/exportdb/torch.escape-hatch.html index d2322b0223..8524ec3e0e 100644 --- a/2.4/generated/exportdb/torch.escape-hatch.html +++ b/2.4/generated/exportdb/torch.escape-hatch.html @@ -561,7 +561,7 @@

assume_constant_resultconstrain_as_size_example¶

Note

-

Tags: torch.escape-hatch, torch.dynamic-value

+

Tags: torch.dynamic-value, torch.escape-hatch

Support Level: SUPPORTED

Original source code:

@@ -617,7 +617,7 @@

constrain_as_size_example¶

Note

-

Tags: torch.escape-hatch, torch.dynamic-value

+

Tags: torch.dynamic-value, torch.escape-hatch

Support Level: SUPPORTED

Original source code:

diff --git a/2.4/generated/exportdb/torch.operator.html b/2.4/generated/exportdb/torch.operator.html index 50a3f43b2d..e00b50c93b 100644 --- a/2.4/generated/exportdb/torch.operator.html +++ b/2.4/generated/exportdb/torch.operator.html @@ -538,7 +538,7 @@

torch_sym_min
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7f4663957ca0>
+
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7f4817597ca0>
diff --git a/2.4/quantization-backend-configuration.html b/2.4/quantization-backend-configuration.html index e360bed39e..9ad2d7ca29 100644 --- a/2.4/quantization-backend-configuration.html +++ b/2.4/quantization-backend-configuration.html @@ -534,7 +534,7 @@

Default values for native configurations= 2.9.6": [[2045, "id5"]], "Graph memory management": [[2045, "graph-memory-management"]], "Sharing memory across captures": [[2045, "sharing-memory-across-captures"]], "Extending torch.func with autograd.Function": [[2049, "extending-torch-func-with-autograd-function"]], "Basic Usage": [[2049, "basic-usage"]], "Example 1: autograd.Function calls into another system": [[2049, "example-1-autograd-function-calls-into-another-system"]], "Example 2: autograd.Function specifies custom gradient rules": [[2049, "example-2-autograd-function-specifies-custom-gradient-rules"]], "Limitations and gotchas": [[2049, "limitations-and-gotchas"]], "torch.vmap() Support": [[2049, "torch-vmap-support"]], "Automatically generate a vmap rule": [[2049, "automatically-generate-a-vmap-rule"]], "Defining the vmap staticmethod": [[2049, "defining-the-vmap-staticmethod"]], "torch.func.jvp() Support": [[2049, "torch-func-jvp-support"]], "Broadcasting semantics": [[2043, "broadcasting-semantics"]], "General semantics": [[2043, "general-semantics"]], "In-place semantics": [[2043, "in-place-semantics"]], "Backwards compatibility": [[2043, "backwards-compatibility"]], "torch.special": [[2081, "torch-special"]], "torch.utils.tensorboard": [[2085, "module-torch.utils.tensorboard"]], "A Simple Custom Module": [[2055, "a-simple-custom-module"]], "Modules as Building Blocks": [[2055, "modules-as-building-blocks"]], "Neural Network Training with Modules": [[2055, "neural-network-training-with-modules"]], "Module State": [[2055, "module-state"]], "Module Initialization": [[2055, "module-initialization"]], "Module Hooks": [[2055, "module-hooks"]], "Advanced Features": [[2055, "advanced-features"]], "Distributed Training": [[2055, "distributed-training"]], "Profiling Performance": [[2055, "profiling-performance"]], "Improving Performance with Quantization": [[2055, "improving-performance-with-quantization"]], "Improving Memory Usage with Pruning": [[2055, "improving-memory-usage-with-pruning"]], "Parametrizations": [[2055, "parametrizations"]], "Transforming Modules with FX": [[2055, "transforming-modules-with-fx"]], "torch.Tensor": [[2086, "torch-tensor"]], "Data types": [[2086, "data-types"]], "Initializing and basic operations": [[2086, "initializing-and-basic-operations"]], "Tensor class reference": [[2086, "tensor-class-reference"]], "Tensor Attributes": [[2083, "tensor-attributes"]], "torch.dtype": [[2083, "torch-dtype"]], "torch.device": [[2083, "torch-device"]], "torch.layout": [[2083, "torch-layout"]], "torch.memory_format": [[2083, "torch-memory-format"]], "Autograd mechanics": [[2042, "autograd-mechanics"]], "How autograd encodes the history": [[2042, "how-autograd-encodes-the-history"]], "Saved tensors": [[2042, "saved-tensors"]], "Gradients for non-differentiable functions": [[2042, "gradients-for-non-differentiable-functions"]], "Setting requires_grad": [[2042, "setting-requires-grad"]], "Grad Modes": [[2042, "grad-modes"]], "Default Mode (Grad Mode)": [[2042, "default-mode-grad-mode"]], "No-grad Mode": [[2042, "no-grad-mode"]], "Inference Mode": [[2042, "inference-mode"]], "Evaluation Mode (nn.Module.eval())": [[2042, "evaluation-mode-nn-module-eval"]], "In-place operations with autograd": [[2042, "in-place-operations-with-autograd"]], "Multithreaded Autograd": [[2042, "multithreaded-autograd"]], "Concurrency on CPU": [[2042, "concurrency-on-cpu"]], "Non-determinism": [[2042, "non-determinism"]], "Graph retaining": [[2042, "graph-retaining"]], "Thread Safety on Autograd Node": [[2042, "thread-safety-on-autograd-node"]], "No thread safety on C++ hooks": [[2042, "no-thread-safety-on-c-hooks"]], "Autograd for Complex Numbers": [[2042, "autograd-for-complex-numbers"]], "What are complex derivatives?": [[2042, "what-are-complex-derivatives"]], "Wirtinger Calculus comes into the picture \u2026": [[2042, "wirtinger-calculus-comes-into-the-picture"]], "How is Wirtinger Calculus useful in optimization?": [[2042, "how-is-wirtinger-calculus-useful-in-optimization"]], "How does PyTorch compute the conjugate Wirtinger derivative?": [[2042, "how-does-pytorch-compute-the-conjugate-wirtinger-derivative"]], "How can I write my own derivative formula for a complex function?": [[2042, "how-can-i-write-my-own-derivative-formula-for-a-complex-function"]], "What about cross-domain functions?": [[2042, "what-about-cross-domain-functions"]], "Hooks for saved tensors": [[2042, "hooks-for-saved-tensors"]], "Registering hooks for a saved tensor": [[2042, "registering-hooks-for-a-saved-tensor"]], "Registering default hooks for saved tensors": [[2042, "registering-default-hooks-for-saved-tensors"]], "Backward Hooks execution": [[2042, "backward-hooks-execution"]], "Whether a particular hook will be fired": [[2042, "whether-a-particular-hook-will-be-fired"]], "The order in which the different hooks are fired": [[2042, "the-order-in-which-the-different-hooks-are-fired"]], "Special hooks": [[2042, "special-hooks"]], "Behavior of Tensor hooks when Tensor is modified in-place": [[2042, "behavior-of-tensor-hooks-when-tensor-is-modified-in-place"]], "CUDA Automatic Mixed Precision examples": [[2041, "cuda-automatic-mixed-precision-examples"]], "Typical Mixed Precision Training": [[2041, "typical-mixed-precision-training"]], "Working with Unscaled Gradients": [[2041, "working-with-unscaled-gradients"]], "Gradient clipping": [[2041, "gradient-clipping"]], "Working with Scaled Gradients": [[2041, "working-with-scaled-gradients"]], "Gradient accumulation": [[2041, "gradient-accumulation"]], "Gradient penalty": [[2041, "gradient-penalty"]], "Working with Multiple Models, Losses, and Optimizers": [[2041, "working-with-multiple-models-losses-and-optimizers"]], "Working with Multiple GPUs": [[2041, "working-with-multiple-gpus"]], "DataParallel in a single process": [[2041, "dataparallel-in-a-single-process"]], "DistributedDataParallel, one GPU per process": [[2041, "distributeddataparallel-one-gpu-per-process"]], "DistributedDataParallel, multiple GPUs per process": [[2041, "distributeddataparallel-multiple-gpus-per-process"]], "Autocast and Custom Autograd Functions": [[2041, "autocast-and-custom-autograd-functions"]], "Functions with multiple inputs or autocastable ops": [[2041, "functions-with-multiple-inputs-or-autocastable-ops"]], "Functions that need a particular dtype": [[2041, "functions-that-need-a-particular-dtype"]], "PyTorch Custom Operators Landing Page": [[2046, "pytorch-custom-operators-landing-page"]], "TL;DR": [[2046, "tl-dr"]], "How do I author a custom op from Python?": [[2046, "how-do-i-author-a-custom-op-from-python"]], "How do I integrate custom C++ and/or CUDA code with PyTorch?": [[2046, "how-do-i-integrate-custom-c-and-or-cuda-code-with-pytorch"]], "For more details": [[2046, "for-more-details"]], "When should I create a Custom Operator?": [[2046, "when-should-i-create-a-custom-operator"]], "Why should I create a Custom Operator?": [[2046, "why-should-i-create-a-custom-operator"]], "torch.testing": [[2087, "module-torch.testing"]], "MPS backend": [[2056, "mps-backend"]], "Distributed RPC Framework": [[2075, "distributed-rpc-framework"]], "RPC": [[2075, "rpc"]], "TensorPipe Backend": [[2075, "tensorpipe-backend"]], "RRef": [[2075, "rref"]], "More Information about RRef": [[2075, null]], "RemoteModule": [[2075, "remotemodule"]], "Distributed Autograd Framework": [[2075, "distributed-autograd-framework"]], "More Information about RPC Autograd": [[2075, null]], "Distributed Optimizer": [[2075, "distributed-optimizer"], [2076, "distributed-optimizer"]], "Distributed Data Parallel": [[2047, "distributed-data-parallel"]], "Internal Design": [[2047, "internal-design"]], "Implementation": [[2047, "implementation"], [2077, "implementation"]], "ProcessGroup": [[2047, "processgroup"]], "TorchDynamo DDPOptimizer": [[2047, "id1"]], "torch.optim": [[2067, "module-torch.optim"]], "How to use an optimizer": [[2067, "how-to-use-an-optimizer"]], "Constructing it": [[2067, "constructing-it"]], "Per-parameter options": [[2067, "per-parameter-options"]], "Taking an optimization step": [[2067, "taking-an-optimization-step"]], "optimizer.step()": [[2067, "optimizer-step"]], "optimizer.step(closure)": [[2067, "optimizer-step-closure"]], "Base class": [[2067, "base-class"]], "Algorithms": [[2067, "algorithms"]], "How to adjust learning rate": [[2067, "how-to-adjust-learning-rate"]], "Weight Averaging (SWA and EMA)": [[2067, "weight-averaging-swa-and-ema"]], "Constructing averaged models": [[2067, "constructing-averaged-models"]], "Custom averaging strategies": [[2067, "custom-averaging-strategies"]], "SWA learning rate schedules": [[2067, "swa-learning-rate-schedules"]], "Taking care of batch normalization": [[2067, "taking-care-of-batch-normalization"]], "Putting it all together: SWA": [[2067, "putting-it-all-together-swa"]], "Putting it all together: EMA": [[2067, "putting-it-all-together-ema"]], "Quantization API Reference": [[2073, "quantization-api-reference"], [2070, "quantization-api-reference"]], "torch.ao.quantization": [[2073, "torch-ao-quantization"]], "Top level APIs": [[2073, "top-level-apis"]], "Preparing model for quantization": [[2073, "preparing-model-for-quantization"]], "Utility functions": [[2073, "utility-functions"], [2060, "utility-functions"]], "torch.ao.quantization.quantize_fx": [[2073, "torch-ao-quantization-quantize-fx"]], "torch.ao.quantization.qconfig_mapping": [[2073, "torch-ao-quantization-qconfig-mapping"]], "torch.ao.quantization.backend_config": [[2073, "torch-ao-quantization-backend-config"]], "torch.ao.quantization.fx.custom_config": [[2073, "torch-ao-quantization-fx-custom-config"]], "torch.ao.quantization.quantizer": [[2073, "module-torch.ao.quantization.quantizer"]], "torch.ao.quantization.pt2e (quantization in pytorch 2.0 export implementation)": [[2073, "module-torch.ao.quantization.pt2e"]], "torch.ao.quantization.pt2e.export_utils": [[2073, "torch-ao-quantization-pt2e-export-utils"]], "torch (quantization related functions)": [[2073, "torch-quantization-related-functions"]], "torch.Tensor (quantization related methods)": [[2073, "torch-tensor-quantization-related-methods"]], "torch.ao.quantization.observer": [[2073, "torch-ao-quantization-observer"]], "torch.ao.quantization.fake_quantize": [[2073, "torch-ao-quantization-fake-quantize"]], "torch.ao.quantization.qconfig": [[2073, "torch-ao-quantization-qconfig"]], "torch.ao.nn.intrinsic": [[2073, "module-torch.ao.nn.intrinsic"]], "torch.ao.nn.intrinsic.qat": [[2073, "module-torch.ao.nn.intrinsic.qat"]], "torch.ao.nn.intrinsic.quantized": [[2073, "module-torch.ao.nn.intrinsic.quantized"]], "torch.ao.nn.intrinsic.quantized.dynamic": [[2073, "module-torch.ao.nn.intrinsic.quantized.dynamic"]], "torch.ao.nn.qat": [[2073, "module-torch.ao.nn.qat"]], "torch.ao.nn.qat.dynamic": [[2073, "module-torch.ao.nn.qat.dynamic"]], "torch.ao.nn.quantized": [[2073, "module-torch.ao.nn.quantized.modules"]], "torch.ao.nn.quantized.functional": [[2073, "module-torch.ao.nn.quantized.functional"]], "torch.ao.nn.quantizable": [[2073, "torch-ao-nn-quantizable"]], "torch.ao.nn.quantized.dynamic": [[2073, "module-torch.ao.nn.quantized.dynamic"]], "Quantized dtypes and quantization schemes": [[2073, "quantized-dtypes-and-quantization-schemes"]], "torch.Size": [[2079, "torch-size"]], "Distributed Autograd Design": [[2076, "distributed-autograd-design"]], "Background": [[2076, "background"], [2077, "background"]], "Autograd recording during the forward pass": [[2076, "autograd-recording-during-the-forward-pass"]], "Distributed Autograd Context": [[2076, "distributed-autograd-context"]], "Distributed Backward Pass": [[2076, "distributed-backward-pass"]], "Computing dependencies": [[2076, "computing-dependencies"]], "FAST mode algorithm": [[2076, "fast-mode-algorithm"]], "SMART mode algorithm": [[2076, "smart-mode-algorithm"]], "Simple end to end example": [[2076, "simple-end-to-end-example"]], "torch.profiler": [[2069, "torch-profiler"]], "Intel Instrumentation and Tracing Technology APIs": [[2069, "intel-instrumentation-and-tracing-technology-apis"]], "Remote Reference Protocol": [[2077, "remote-reference-protocol"]], "RRef Lifetime": [[2077, "rref-lifetime"]], "Design Reasoning": [[2077, "design-reasoning"]], "Protocol Scenarios": [[2077, "protocol-scenarios"]], "User Share RRef with Owner as Return Value": [[2077, "user-share-rref-with-owner-as-return-value"]], "User Share RRef with Owner as Argument": [[2077, "user-share-rref-with-owner-as-argument"]], "Owner Share RRef with User": [[2077, "owner-share-rref-with-user"]], "User Share RRef with User": [[2077, "user-share-rref-with-user"]], "Multiprocessing best practices": [[2057, "multiprocessing-best-practices"]], "CUDA in multiprocessing": [[2057, "cuda-in-multiprocessing"]], "Best practices and tips": [[2057, "best-practices-and-tips"]], "Avoiding and fighting deadlocks": [[2057, "avoiding-and-fighting-deadlocks"]], "Reuse buffers passed through a Queue": [[2057, "reuse-buffers-passed-through-a-queue"]], "Asynchronous multiprocess training (e.g. Hogwild)": [[2057, "asynchronous-multiprocess-training-e-g-hogwild"]], "Hogwild": [[2057, "hogwild"]], "CPU in multiprocessing": [[2057, "cpu-in-multiprocessing"]], "CPU oversubscription": [[2057, "cpu-oversubscription"]], "Avoid CPU oversubscription": [[2057, "avoid-cpu-oversubscription"]], "Quantization Accuracy Debugging": [[2071, "quantization-accuracy-debugging"], [2070, "quantization-accuracy-debugging"]], "Data insensitive error": [[2071, "data-insensitive-error"]], "General tips": [[2071, "general-tips"]], "Int8 quantization tips": [[2071, "int8-quantization-tips"]], "Data sensitive error": [[2071, "data-sensitive-error"]], "Implementation error": [[2071, "implementation-error"]], "Numerical Debugging Tooling (prototype)": [[2071, "numerical-debugging-tooling-prototype"]], "Features for large-scale deployments": [[2054, "features-for-large-scale-deployments"]], "Fleet-wide operator profiling": [[2054, "fleet-wide-operator-profiling"]], "API usage logging": [[2054, "api-usage-logging"]], "Attaching metadata to saved TorchScript models": [[2054, "attaching-metadata-to-saved-torchscript-models"]], "Build environment considerations": [[2054, "build-environment-considerations"]], "Common extension points": [[2054, "common-extension-points"]], "Windows FAQ": [[2061, "windows-faq"]], "Building from source": [[2061, "building-from-source"]], "Include optional components": [[2061, "include-optional-components"]], "Speeding CUDA build for Windows": [[2061, "speeding-cuda-build-for-windows"]], "One key install script": [[2061, "one-key-install-script"]], "Extension": [[2061, "extension"]], "CFFI Extension": [[2061, "cffi-extension"]], "Cpp Extension": [[2061, "cpp-extension"]], "Installation": [[2061, "installation"]], "Package not found in win-32 channel.": [[2061, "package-not-found-in-win-32-channel"]], "Import error": [[2061, "import-error"]], "Usage (multiprocessing)": [[2061, "usage-multiprocessing"]], "Multiprocessing error without if-clause protection": [[2061, "multiprocessing-error-without-if-clause-protection"]], "Multiprocessing error \u201cBroken pipe\u201d": [[2061, "multiprocessing-error-broken-pipe"]], "Multiprocessing error \u201cdriver shut down\u201d": [[2061, "multiprocessing-error-driver-shut-down"]], "CUDA IPC operations": [[2061, "cuda-ipc-operations"]], "Quantization Backend Configuration": [[2072, "quantization-backend-configuration"], [2070, "quantization-backend-configuration"]], "Default values for native configurations": [[2072, "default-values-for-native-configurations"]], "torch.Storage": [[2082, "torch-storage"]], "Quantization": [[2070, "module-torch.ao.quantization"]], "Introduction to Quantization": [[2070, "introduction-to-quantization"]], "Quantization API Summary": [[2070, "quantization-api-summary"]], "Eager Mode Quantization": [[2070, "eager-mode-quantization"]], "Post Training Dynamic Quantization": [[2070, "post-training-dynamic-quantization"]], "Post Training Static Quantization": [[2070, "post-training-static-quantization"]], "Quantization Aware Training for Static Quantization": [[2070, "quantization-aware-training-for-static-quantization"]], "Model Preparation for Eager Mode Static Quantization": [[2070, "model-preparation-for-eager-mode-static-quantization"]], "(Prototype - maintenance mode) FX Graph Mode Quantization": [[2070, "prototype-maintenance-mode-fx-graph-mode-quantization"]], "(Prototype) PyTorch 2 Export Quantization": [[2070, "prototype-pytorch-2-export-quantization"]], "Quantization Stack": [[2070, "quantization-stack"]], "Quantized Model": [[2070, "quantized-model"]], "Quantized Tensor": [[2070, "quantized-tensor"]], "Quantize and Dequantize": [[2070, "quantize-and-dequantize"]], "Quantized Operators/Modules": [[2070, "quantized-operators-modules"]], "Quantized Engine": [[2070, "quantized-engine"]], "Quantization Flow": [[2070, "quantization-flow"]], "Observer and FakeQuantize": [[2070, "observer-and-fakequantize"]], "QConfig": [[2070, "qconfig"], [844, "qconfig"]], "General Quantization Flow": [[2070, "general-quantization-flow"]], "Quantization Support Matrix": [[2070, "quantization-support-matrix"]], "Quantization Mode Support": [[2070, "quantization-mode-support"]], "Quantization Flow Support": [[2070, "quantization-flow-support"]], "Backend/Hardware Support": [[2070, "backend-hardware-support"]], "Note for native CPU backends": [[2070, "note-for-native-cpu-backends"]], "Operator Support": [[2070, "operator-support"]], "Quantization Customizations": [[2070, "quantization-customizations"]], "Quantization Custom Module API": [[2070, "quantization-custom-module-api"]], "Best Practices": [[2070, "best-practices"]], "Common Errors": [[2070, "common-errors"]], "Passing a non-quantized Tensor into a quantized kernel": [[2070, "passing-a-non-quantized-tensor-into-a-quantized-kernel"]], "Passing a quantized Tensor into a non-quantized kernel": [[2070, "passing-a-quantized-tensor-into-a-non-quantized-kernel"]], "Saving and Loading Quantized models": [[2070, "saving-and-loading-quantized-models"]], "Symbolic Trace Error when using FX Graph Mode Quantization": [[2070, "symbolic-trace-error-when-using-fx-graph-mode-quantization"]], "torch": [[2089, "module-torch"]], "Tensors": [[2089, "tensors"]], "Creation Ops": [[2089, "creation-ops"]], "Indexing, Slicing, Joining, Mutating Ops": [[2089, "indexing-slicing-joining-mutating-ops"]], "Generators": [[2089, "generators"]], "Random sampling": [[2089, "random-sampling"]], "In-place random sampling": [[2089, "in-place-random-sampling"]], "Quasi-random sampling": [[2089, "quasi-random-sampling"]], "Parallelism": [[2089, "parallelism"]], "Math operations": [[2089, "math-operations"]], "Pointwise Ops": [[2089, "pointwise-ops"]], "Reduction Ops": [[2089, "reduction-ops"]], "Comparison Ops": [[2089, "comparison-ops"]], "Spectral Ops": [[2089, "spectral-ops"]], "Other Operations": [[2089, "other-operations"]], "BLAS and LAPACK Operations": [[2089, "blas-and-lapack-operations"]], "Foreach Operations": [[2089, "foreach-operations"]], "Symbolic Numbers": [[2089, "symbolic-numbers"]], "Export Path": [[2089, "export-path"]], "Control Flow": [[2089, "control-flow"]], "Optimizations": [[2089, "optimizations"]], "Operator Tags": [[2089, "operator-tags"]], "torch.nn.init": [[2040, "torch-nn-init"]], "torch.ao.ns._numeric_suite": [[2090, "torch-ao-ns-numeric-suite"]], "Tensor Views": [[2084, "tensor-views"]], "Numerical accuracy": [[2058, "numerical-accuracy"]], "Batched computations or slice computations": [[2058, "batched-computations-or-slice-computations"]], "Extremal values": [[2058, "extremal-values"]], "Linear algebra (torch.linalg)": [[2058, "linear-algebra-torch-linalg"]], "Non-finite values": [[2058, "non-finite-values"]], "Extremal values in linalg": [[2058, "extremal-values-in-linalg"]], "TensorFloat-32(TF32) on Nvidia Ampere (and later) devices": [[2058, "tensorfloat-32-tf32-on-nvidia-ampere-and-later-devices"]], "Reduced Precision Reduction for FP16 and BF16 GEMMs": [[2058, "reduced-precision-reduction-for-fp16-and-bf16-gemms"]], "Reduced Precision FP16 and BF16 GEMMs and Convolutions on AMD Instinct MI200 devices": [[2058, "reduced-precision-fp16-and-bf16-gemms-and-convolutions-on-amd-instinct-mi200-devices"]], "Serialization semantics": [[2060, "serialization-semantics"]], "Table of Contents": [[2060, "table-of-contents"]], "Saving and loading tensors": [[2060, "saving-and-loading-tensors"]], "Saving and loading tensors preserves views": [[2060, "saving-and-loading-tensors-preserves-views"]], "Saving and loading torch.nn.Modules": [[2060, "saving-and-loading-torch-nn-modules"]], "Serialized file format for torch.save": [[2060, "serialized-file-format-for-torch-save"]], "Serializing torch.nn.Modules and loading them in C++": [[2060, "serializing-torch-nn-modules-and-loading-them-in-c"]], "Saving and loading ScriptModules across PyTorch versions": [[2060, "saving-and-loading-scriptmodules-across-pytorch-versions"]], "torch.div performing integer division": [[2060, "torch-div-performing-integer-division"]], "torch.full always inferring a float dtype": [[2060, "torch-full-always-inferring-a-float-dtype"]], "ONNX Backend for TorchDynamo": [[2064, "onnx-backend-for-torchdynamo"]], "torch.package": [[2068, "torch-package"]], "Packaging your first model": [[2068, "packaging-your-first-model"]], "How do I\u2026": [[2068, "how-do-i"]], "See what is inside a package?": [[2068, "see-what-is-inside-a-package"]], "Treat the package like a ZIP archive": [[2068, "treat-the-package-like-a-zip-archive"]], "Use the file_structure() API": [[2068, "use-the-file-structure-api"]], "See why a given module was included as a dependency?": [[2068, "see-why-a-given-module-was-included-as-a-dependency"]], "Include arbitrary resources with my package and access them later?": [[2068, "include-arbitrary-resources-with-my-package-and-access-them-later"]], "Customize how a class is packaged?": [[2068, "customize-how-a-class-is-packaged"]], "Test in my source code whether or not it is executing inside a package?": [[2068, "test-in-my-source-code-whether-or-not-it-is-executing-inside-a-package"]], "Patch code into a package?": [[2068, "patch-code-into-a-package"]], "Access package contents from packaged code?": [[2068, "access-package-contents-from-packaged-code"]], "Distinguish between packaged code and non-packaged code?": [[2068, "distinguish-between-packaged-code-and-non-packaged-code"]], "Re-export an imported object?": [[2068, "re-export-an-imported-object"]], "Package a TorchScript module?": [[2068, "package-a-torchscript-module"]], "Explanation": [[2068, "explanation"]], "torch.package Format Overview": [[2068, "torch-package-format-overview"]], "Framework files": [[2068, "framework-files"]], "User files": [[2068, "user-files"]], "How torch.package finds your code\u2019s dependencies": [[2068, "how-torch-package-finds-your-code-s-dependencies"]], "Analyzing an object\u2019s dependencies": [[2068, "analyzing-an-object-s-dependencies"]], "Analyzing a module\u2019s dependencies": [[2068, "analyzing-a-module-s-dependencies"]], "Dependency Management": [[2068, "dependency-management"]], "intern": [[2068, "intern"]], "extern": [[2068, "extern"]], "mock": [[2068, "mock"]], "Refactoring": [[2068, "refactoring"]], "Patterns": [[2068, "patterns"]], "torch.package sharp edges": [[2068, "torch-package-sharp-edges"]], "Avoid global state in your modules": [[2068, "avoid-global-state-in-your-modules"]], "Types are not shared between packages and the loading environment": [[2068, "types-are-not-shared-between-packages-and-the-loading-environment"]], "How torch.package keeps packages isolated from each other": [[2068, "how-torch-package-keeps-packages-isolated-from-each-other"]], "Mangling": [[2068, 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"Why not use a complex u": [[2052, "why-not-use-a-complex-u"]], "Fast gradcheck for functions with complex outputs": [[2052, "fast-gradcheck-for-functions-with-complex-outputs"]], "Gradgradcheck implementation": [[2052, "gradgradcheck-implementation"]], "torch.signal": [[2078, "module-torch.signal"]], "torch.signal.windows": [[2078, "module-torch.signal.windows"]], "ONNX supported TorchScript operators": [[2066, "onnx-supported-torchscript-operators"]], "Supported operators": [[2066, "supported-operators"]], "ONNX support for TorchScript operators": [[2066, "id1"]], "Unsupported operators": [[2066, "unsupported-operators"], [2066, "id2"]], "Example: AlexNet from PyTorch to ONNX": [[2065, "example-alexnet-from-pytorch-to-onnx"]], "Tracing vs Scripting": [[2065, "tracing-vs-scripting"]], "Avoiding Pitfalls": [[2065, "avoiding-pitfalls"]], "Avoid NumPy and built-in Python types": [[2065, "avoid-numpy-and-built-in-python-types"]], "Avoid Tensor.data": [[2065, "avoid-tensor-data"]], "Avoid 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14, 17, 23, 28, 30, 53, 55, 66, 71, 75, 76, 77, 90, 121, 198, 291, 328, 337, 447, 448, 449, 450, 451, 460, 488, 582, 591, 868, 883, 936, 938, 944, 953, 995, 998, 999, 1010, 1020, 1021, 1022, 1024, 1109, 1111, 1121, 1126, 1144, 1156, 1160, 1162, 1163, 1221, 1223, 1224, 1225, 1230, 1231, 1248, 1272, 1280, 1282, 1283, 1292, 1302, 1304, 1308, 1309, 1310, 1311, 1313, 1315, 1318, 1320, 1321, 1327, 1330, 1333, 1336, 1337, 1343, 1344, 1359, 1362, 1373, 1385, 1462, 1468, 1526, 1699, 1716, 1721, 1722, 1757, 1758, 1772, 1775, 1782, 1826, 1835, 1837, 1839, 1841, 1842, 1866, 1871, 1872, 1873, 1875, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1894, 1904, 1909, 1910, 1911, 1912, 1913, 1914, 1927, 1942, 1943, 1944, 1953, 1955, 1960, 1964, 1981, 2009, 2012, 2013, 2014, 2016, 2020, 2024, 2026, 2032, 2033, 2035, 2045, 2048, 2049, 2051, 2053, 2055, 2058, 2059, 2061, 2065, 2066, 2069, 2071, 2074, 2075, 2080, 2082, 2083, 2086, 2087, 2089, 2092, 2093, 2096, 2100, 2101, 2102, 2104, 2105, 2108, 2109, 2111], "There": [1, 5, 6, 7, 9, 12, 14, 19, 22, 28, 30, 47, 52, 53, 55, 56, 60, 61, 64, 86, 87, 89, 682, 736, 795, 893, 908, 909, 975, 1166, 1462, 1496, 1542, 1684, 1716, 1723, 1724, 1764, 1769, 2011, 2013, 2015, 2016, 2022, 2023, 2034, 2042, 2045, 2048, 2049, 2050, 2054, 2057, 2061, 2062, 2065, 2068, 2069, 2070, 2071, 2075, 2077, 2086, 2089, 2096, 2098, 2099, 2101, 2102, 2109, 2110, 2111], "moment": [1, 66, 72, 774, 775, 776, 993, 1783, 1784, 1785, 1787, 1793, 1797, 2026, 2032, 2035, 2069, 2075, 2108], "nvprof": [1, 4, 932, 2045], "regist": [1, 15, 19, 24, 28, 32, 35, 47, 50, 52, 53, 55, 64, 82, 84, 85, 86, 87, 89, 489, 490, 682, 794, 795, 857, 927, 928, 975, 1053, 1187, 1272, 1344, 1526, 1527, 1528, 1536, 1537, 1555, 1707, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1716, 1717, 1730, 1731, 1733, 1734, 1736, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1793, 1794, 1795, 1796, 1797, 1965, 1967, 2020, 2029, 2032, 2045, 2046, 2047, 2048, 2054, 2055, 2060, 2063, 2065, 2068, 2075, 2092, 2099, 2101, 2104, 2107], "activ": [1, 5, 7, 9, 33, 34, 50, 52, 55, 61, 81, 83, 794, 796, 798, 805, 809, 844, 845, 854, 864, 865, 1018, 1033, 1046, 1064, 1165, 1167, 1177, 1345, 1434, 1464, 1465, 1466, 1470, 1480, 1498, 1525, 1527, 1545, 1556, 1570, 1572, 1574, 1625, 1663, 1687, 1716, 1734, 1736, 1766, 1771, 1976, 2012, 2026, 2032, 2045, 2048, 2049, 2051, 2055, 2065, 2067, 2069, 2070, 2071, 2072, 2075, 2080, 2090, 2091, 2096, 2101, 2106, 2111], "emit_nvtx": [1, 4], "vtune": [1, 4], "emit_itt": [1, 4], "use_cuda": [1, 2069], "use_devic": 1, "record_shap": [1, 2069], "with_flop": [1, 2069], "profile_memori": [1, 2069], "with_stack": [1, 2069], "with_modul": [1, 2069], "use_kineto": 1, "use_cpu": 1, "use_mtia": 1, "experimental_config": [1, 2069], "hold": [1, 28, 30, 45, 47, 50, 51, 52, 55, 59, 63, 64, 539, 1345, 1472, 1527, 1528, 1536, 1537, 1578, 1706, 1716, 1718, 1719, 1733, 1743, 1757, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1790, 1793, 1794, 1795, 1796, 1797, 1909, 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719, 720, 721, 722, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 740, 741, 742, 743, 744, 745, 747, 748, 758, 762, 766, 801, 903, 904, 908, 977, 989, 993, 997, 1077, 1109, 1177, 1187, 1286, 1288, 1345, 1443, 1453, 1454, 1455, 1456, 1457, 1458, 1462, 1468, 1469, 1477, 1478, 1496, 1497, 1498, 1511, 1513, 1526, 1529, 1534, 1542, 1544, 1716, 1757, 1758, 1759, 1760, 1761, 1762, 1763, 1775, 1779, 1781, 1798, 1799, 1800, 1801, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1811, 1812, 1835, 1837, 1839, 1964, 1976, 2009, 2011, 2012, 2022, 2023, 2034, 2035, 2042, 2044, 2045, 2047, 2050, 2052, 2058, 2059, 2061, 2063, 2065, 2067, 2070, 2075, 2082, 2085, 2093, 2098, 2099, 2100, 2102, 2104, 2111], "torch_blas_prefer_cublaslt": 2, "global": [2, 3, 5, 8, 11, 12, 20, 23, 28, 30, 32, 35, 37, 48, 55, 60, 63, 64, 66, 69, 74, 75, 857, 864, 868, 876, 931, 944, 953, 989, 1008, 1042, 1059, 1066, 1109, 1111, 1121, 1126, 1144, 1160, 1163, 1166, 1230, 1231, 1253, 1260, 1272, 1275, 1288, 1292, 1343, 1359, 1526, 1684, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1716, 1743, 1747, 1775, 1835, 1837, 1839, 1842, 1866, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 2009, 2013, 2016, 2017, 2020, 2028, 2036, 2041, 2048, 2054, 2055, 2057, 2059, 2060, 2070, 2075, 2076, 2077, 2080, 2083, 2085, 2099, 2100, 2101, 2102, 2103, 2110, 2111], "overridden": [2, 14, 64, 892, 893, 894, 908, 909, 1050, 1526, 1902, 2016, 2042, 2048, 2058, 2111, 2112], "achiev": [2, 19, 23, 24, 28, 30, 34, 35, 48, 55, 1108, 1173, 1272, 1439, 1445, 1526, 1532, 1533, 1605, 1634, 1716, 2030, 2045, 2054, 2057, 2068, 2075, 2077, 2111], "better": [2, 3, 7, 8, 9, 14, 23, 27, 28, 37, 52, 59, 918, 975, 1077, 1165, 1169, 1170, 1181, 1259, 1288, 1461, 1560, 1684, 1690, 1716, 1723, 1724, 1808, 1833, 2016, 2041, 2042, 2044, 2045, 2051, 2052, 2059, 2061, 2065, 2067, 2069, 2070, 2071, 2080, 2085, 2091, 2093, 2097, 2099, 2100, 2108], "select": [2, 5, 15, 17, 19, 21, 23, 28, 30, 35, 37, 45, 53, 315, 317, 319, 323, 762, 965, 999, 1001, 1005, 1014, 1015, 1019, 1026, 1027, 1028, 1029, 1031, 1052, 1056, 1058, 1059, 1060, 1062, 1064, 1065, 1066, 1071, 1072, 1073, 1074, 1077, 1078, 1081, 1083, 1085, 1086, 1128, 1345, 1374, 1399, 1400, 1401, 1402, 1403, 1408, 1409, 1445, 1453, 1454, 1455, 1456, 1457, 1458, 1477, 1496, 1542, 1590, 1607, 1608, 1609, 1610, 1611, 1612, 1616, 1684, 1752, 1753, 1865, 1939, 1967, 1979, 1983, 1984, 1985, 1986, 1988, 2003, 2006, 2007, 2013, 2014, 2016, 2032, 2033, 2034, 2035, 2042, 2044, 2045, 2052, 2059, 2066, 2070, 2080, 2084, 2087, 2100, 2106, 2108, 2113], "incorrect": [2, 4, 5, 55, 64, 86, 87, 89, 256, 515, 558, 903, 906, 908, 922, 931, 957, 977, 1288, 1331, 1344, 1532, 1570, 1571, 1572, 1573, 1574, 1702, 1771, 1912, 1923, 2013, 2016, 2020, 2045, 2058, 2065, 2099, 2114], "_blasbackend": 2, "preferred_linalg_librari": [2, 1309], "heurist": [2, 14, 23, 47, 48, 64, 980, 1108, 2051, 2096, 2105], "cusolv": [2, 1336, 1337, 1927], "magma": [2, 1318, 1362, 1826, 1927, 2061, 2080], "algebra": [2, 9, 1108, 1309, 1330, 2012, 2021], "decid": [2, 4, 7, 28, 37, 47, 59, 488, 1183, 1747, 2023, 2065, 2080, 2101, 2102, 2105], "pick": [2, 28, 46, 48, 515, 975, 2042, 2075, 2098, 2100, 2105], "torch_linalg_prefer_cusolv": 2, "linalg": [2, 11, 408, 965, 966, 967, 968, 1007, 1094, 1216, 1250, 1353, 1362, 1363, 1364, 1368, 1369, 1730, 1731, 1736, 1771, 1813, 1818, 1820, 1826, 1896, 1927, 1928, 1951, 1973, 2012], "inv": [2, 35, 1250, 1304, 1308, 1314, 1330, 1334, 1338], "inv_ex": [2, 1313], "cholesky_ex": [2, 1302], "lu_factor": [2, 1321, 1322, 1362, 1363, 1364], "lu": [2, 10, 1314, 1320, 1321, 1322, 1363, 1364, 2014], "eigh": [2, 1302, 1308, 1311, 1330, 1336, 2058], "eighval": 2, "svdval": [2, 1304, 1318, 1327, 1336, 1927, 2058], "_linalgbackend": 2, "sdpaparam": 2, "flash_sdp_en": 2, "flash": [2, 1585, 1590], "scale": [2, 7, 23, 33, 35, 37, 46, 48, 99, 175, 475, 477, 619, 687, 691, 692, 693, 740, 741, 742, 743, 744, 745, 746, 751, 752, 753, 754, 755, 756, 757, 758, 761, 772, 774, 775, 776, 777, 779, 782, 783, 797, 801, 804, 821, 822, 823, 824, 827, 943, 1122, 1123, 1126, 1144, 1176, 1177, 1359, 1434, 1463, 1468, 1469, 1470, 1486, 1498, 1554, 1579, 1580, 1581, 1585, 1590, 1623, 1624, 1625, 1641, 1643, 1684, 1685, 1690, 1781, 1802, 1828, 1829, 1830, 1831, 1832, 1905, 1906, 1924, 1976, 2012, 2014, 2034, 2040, 2045, 2050, 2055, 2063, 2070, 2071, 2073, 2081, 2102], "product": [2, 15, 28, 30, 35, 47, 152, 688, 691, 692, 693, 762, 896, 901, 912, 914, 915, 916, 917, 943, 955, 961, 965, 993, 1007, 1019, 1066, 1071, 1085, 1086, 1089, 1105, 1108, 1172, 1176, 1177, 1249, 1293, 1305, 1312, 1338, 1339, 1341, 1367, 1374, 1377, 1414, 1477, 1478, 1496, 1497, 1585, 1590, 1631, 1684, 1730, 1814, 1815, 1824, 1870, 1944, 1959, 1973, 1976, 2012, 2013, 2033, 2042, 2052, 2054, 2058, 2068, 2070, 2080, 2099, 2113], "attent": [2, 7, 34, 737, 1439, 1532, 1570, 1572, 1574, 1585, 1587, 1605, 1684, 2012, 2061, 2084, 2099], "enable_mem_efficient_sdp": [2, 1684], "mem_efficient_sdp_en": 2, "enable_flash_sdp": [2, 1684], "math_sdp_en": 2, "math": [2, 23, 64, 1118, 1324, 1585, 1590, 1644, 1684, 1816, 1833, 1928, 2012, 2013, 2015, 2016, 2051, 2058, 2080, 2081, 2087, 2111], "enable_math_sdp": [2, 1684], "cudnn_sdp_en": 2, "enable_cudnn_sdp": 2, "can_use_flash_attent": 2, "debug": [2, 4, 5, 8, 19, 20, 23, 38, 44, 52, 81, 83, 682, 829, 830, 834, 846, 922, 923, 975, 977, 984, 1008, 1041, 1082, 1220, 1302, 1709, 1710, 1711, 1712, 1869, 1876, 2012, 2015, 2022, 2042, 2044, 2045, 2047, 2053, 2054, 2055, 2059, 2061, 2063, 2065, 2068, 2090, 2098, 2099, 2100, 2103, 2104, 2107, 2113, 2114, 2115], "check": [2, 3, 4, 5, 11, 14, 19, 20, 23, 28, 29, 30, 35, 47, 55, 66, 67, 72, 75, 223, 342, 501, 696, 864, 903, 904, 906, 907, 908, 909, 922, 923, 929, 977, 1010, 1011, 1013, 1017, 1046, 1064, 1183, 1187, 1195, 1196, 1204, 1205, 1259, 1269, 1272, 1288, 1289, 1302, 1303, 1308, 1309, 1311, 1314, 1316, 1321, 1327, 1330, 1334, 1336, 1337, 1362, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 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2111, 2114], "scaled_dot_product_attent": [2, 1532, 1570, 1586, 1589, 1590, 2014, 2037, 2038, 2039, 2066], "_sdpaparam": 2, "kei": [2, 3, 23, 30, 33, 37, 45, 47, 48, 52, 53, 55, 62, 64, 417, 605, 682, 737, 857, 862, 930, 935, 942, 1074, 1165, 1175, 1188, 1272, 1288, 1289, 1344, 1526, 1527, 1532, 1536, 1570, 1571, 1572, 1573, 1574, 1587, 1684, 1750, 1766, 1965, 1967, 2012, 2014, 2015, 2016, 2020, 2028, 2045, 2048, 2054, 2055, 2060, 2065, 2066, 2067, 2069, 2070, 2073, 2075, 2076, 2082, 2085, 2087, 2090, 2092, 2103, 2108, 2109, 2110, 2114], "mask": [2, 45, 401, 402, 403, 404, 405, 546, 737, 922, 923, 1366, 1434, 1445, 1470, 1532, 1570, 1571, 1572, 1573, 1574, 1625, 1684, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1750, 1751, 1752, 1753, 1797, 2012, 2014, 2033, 2034, 2080, 2102], "dropout": [2, 5, 34, 64, 736, 737, 762, 1272, 1434, 1464, 1465, 1466, 1470, 1477, 1496, 1526, 1532, 1542, 1543, 1570, 1572, 1574, 1598, 1618, 1619, 1620, 1625, 1684, 2012, 2014, 2026, 2034, 2035, 2042, 2045, 2066, 2072], "causal": [2, 737, 1532, 1570, 1571, 1572, 1573, 1574, 1586, 1587, 1588, 1589, 1684], "warn": [2, 3, 14, 18, 19, 24, 25, 28, 32, 52, 86, 87, 89, 682, 911, 917, 965, 1019, 1066, 1071, 1082, 1085, 1086, 1177, 1187, 1253, 1269, 1288, 1330, 1344, 1374, 1532, 1570, 1571, 1572, 1573, 1574, 1684, 1733, 1736, 1869, 1876, 1923, 1964, 1976, 2011, 2022, 2029, 2043, 2048, 2063, 2066, 2068, 2074, 2099, 2111], "why": [2, 3, 7, 23, 60, 64, 1108, 1276, 1684, 2012, 2020, 2023, 2049, 2051, 2098, 2099, 2101, 2109, 2113], "could": [2, 4, 5, 7, 8, 17, 19, 23, 28, 34, 35, 37, 47, 60, 63, 64, 585, 586, 587, 589, 590, 931, 1046, 1129, 1131, 1139, 1140, 1141, 1188, 1269, 1278, 1303, 1344, 1362, 1388, 1389, 1723, 1724, 1801, 1904, 1928, 1960, 2015, 2016, 2023, 2032, 2042, 2045, 2047, 2061, 2065, 2068, 2070, 2071, 2075, 2076, 2077, 2080, 2084, 2085, 2097, 2099, 2102, 2103, 2107, 2111, 2114, 2115], "depend": [2, 4, 5, 12, 14, 23, 28, 30, 32, 33, 35, 37, 47, 48, 50, 53, 55, 64, 317, 787, 881, 1019, 1066, 1071, 1085, 1086, 1129, 1131, 1139, 1140, 1141, 1167, 1171, 1176, 1187, 1197, 1199, 1200, 1201, 1203, 1284, 1288, 1308, 1309, 1336, 1362, 1367, 1438, 1439, 1459, 1461, 1469, 1472, 1485, 1491, 1492, 1517, 1518, 1529, 1530, 1531, 1533, 1540, 1558, 1559, 1575, 1578, 1579, 1597, 1604, 1605, 1615, 1624, 1632, 1644, 1668, 1676, 1684, 1703, 1706, 1716, 1736, 1737, 1743, 1802, 1814, 1816, 1833, 1849, 1909, 1910, 1911, 1913, 1914, 1927, 1951, 1979, 2011, 2013, 2015, 2016, 2020, 2023, 2024, 2032, 2042, 2044, 2045, 2048, 2049, 2051, 2052, 2055, 2057, 2062, 2064, 2065, 2069, 2070, 2075, 2080, 2086, 2087, 2092, 2093, 2096, 2097, 2098, 2099, 2101, 2102, 2104, 2107, 2109, 2110, 2113], "can_use_efficient_attent": 2, "efficient_attent": [2, 1585, 1590], "can_use_cudnn_attent": 2, "cudnn_attent": [2, 1585], "sdp_kernel": [2, 1684], "enable_flash": 2, "enable_math": [2, 1684], "enable_mem_effici": 2, "enable_cudnn": 2, "temporarili": [2, 37, 1866, 2042, 2065, 2069, 2105], "previou": 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1643, 1684, 1703, 1716, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1793, 1794, 1795, 1797, 1816, 1855, 1870, 1927, 1928, 1964, 2012, 2042, 2045, 2058, 2075, 2080], "are_deterministic_algorithms_en": 2, "use_deterministic_algorithm": [2, 27, 501, 876, 1109, 1110, 1111, 1253, 1869, 2059], "benchmark": [2, 19, 2012, 2014, 2045, 2053, 2069, 2096, 2102, 2108], "fastest": [2, 17, 19, 880, 1716, 1770, 1783, 1784, 1796, 2052, 2059, 2067], "benchmark_limit": 2, "maximum": [2, 27, 35, 47, 48, 52, 501, 697, 699, 773, 797, 822, 823, 824, 827, 828, 877, 1021, 1056, 1058, 1064, 1072, 1073, 1087, 1088, 1109, 1110, 1111, 1154, 1171, 1233, 1234, 1235, 1345, 1370, 1392, 1484, 1623, 1624, 1722, 1800, 1808, 1833, 1847, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1966, 2014, 2022, 2040, 2041, 2045, 2057, 2066, 2073, 2087, 2088, 2098, 2106, 2113, 2115], "try": [2, 3, 4, 7, 8, 28, 30, 39, 40, 44, 47, 52, 59, 60, 84, 85, 975, 977, 1078, 1162, 1171, 1177, 1187, 1211, 1277, 1279, 1288, 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1592, 1593, 1594, 1595, 1596, 1781, 1782, 1793, 1795, 1802, 2045, 2063, 2098], "field": [3, 7, 19, 28, 30, 32, 37, 40, 44, 45, 53, 55, 64, 490, 828, 896, 897, 940, 1270, 1272, 1430, 1438, 1439, 1459, 1461, 1485, 1491, 1492, 1517, 1518, 1526, 1529, 1530, 1531, 1533, 1540, 1558, 1559, 1575, 1597, 1604, 1605, 1615, 1632, 1644, 1668, 1676, 1757, 1791, 1797, 2029, 2042, 2047, 2057, 2065, 2075, 2076, 2085, 2099, 2110, 2111], "displai": [3, 18, 1052, 1065, 1187, 1643, 1703, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1811, 1812, 2011, 2017, 2022, 2027, 2065, 2085, 2087, 2093, 2102, 2111, 2114], "instruct": [3, 4, 11, 14, 50, 63, 682, 1870, 2013, 2016, 2045, 2058, 2065, 2070, 2087, 2095, 2099, 2101, 2111], "count": [3, 20, 23, 35, 44, 52, 64, 897, 931, 940, 946, 996, 1046, 1162, 1234, 1235, 1270, 1310, 1311, 1757, 1810, 1960, 1961, 2014, 2029, 2045, 2051, 2066, 2069, 2075, 2077, 2079, 2080, 2102, 2111], "wall": [3, 2105], "callgrind": 3, "analog": [3, 52, 64, 488, 696, 918, 1091, 1129, 1131, 1322, 1496, 1796, 1927, 1945, 2035, 2055, 2098], "constructor": [3, 14, 23, 24, 32, 47, 55, 64, 66, 75, 826, 864, 865, 1430, 1531, 1536, 1537, 1555, 1580, 1581, 1716, 1764, 1902, 2012, 2013, 2016, 2017, 2045, 2047, 2055, 2075, 2080, 2082, 2083, 2086, 2116], "snippet": [3, 48, 2011, 2055, 2060, 2093, 2104], "loop": [3, 19, 24, 30, 33, 50, 52, 53, 56, 60, 61, 64, 66, 71, 865, 866, 917, 1053, 1056, 1058, 1171, 1177, 1288, 1716, 1734, 1780, 1781, 1782, 1783, 1784, 1785, 1787, 1793, 1794, 1795, 1796, 1976, 2013, 2014, 2016, 2029, 2044, 2045, 2050, 2052, 2055, 2058, 2062, 2065, 2067, 2069, 2070, 2085, 2096, 2099, 2101, 2110], "callabl": [3, 5, 12, 23, 24, 28, 32, 33, 35, 37, 40, 45, 50, 52, 53, 55, 63, 64, 121, 400, 844, 975, 977, 989, 1050, 1051, 1053, 1166, 1167, 1168, 1173, 1176, 1177, 1272, 1275, 1278, 1284, 1288, 1344, 1345, 1526, 1570, 1572, 1574, 1576, 1709, 1716, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1791, 1793, 1794, 1795, 1796, 1797, 1804, 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2027, 2029, 2048, 2055, 2060, 2063, 2065, 2066, 2067, 2075, 2076, 2085, 2090, 2091, 2100, 2107, 2110, 2112], "summar": [3, 4, 48, 1874, 2016, 2035, 2051, 2080, 2099, 2100, 2111], "relu": [3, 24, 33, 52, 60, 61, 64, 702, 703, 707, 708, 709, 710, 711, 712, 713, 717, 718, 719, 720, 721, 722, 725, 726, 727, 728, 729, 730, 731, 767, 794, 795, 816, 857, 863, 1050, 1167, 1177, 1278, 1284, 1526, 1542, 1544, 1555, 1563, 1570, 1572, 1574, 1680, 1682, 1706, 1778, 1976, 2013, 2014, 2026, 2034, 2035, 2040, 2042, 2055, 2060, 2065, 2066, 2070, 2072, 2073, 2093, 2097, 2104, 2106, 2109, 2110, 2111], "readabl": [3, 13, 23, 45, 52, 64, 1052, 1065, 1942, 2065, 2067, 2100, 2111, 2112], "supplement": 3, "disambigu": [3, 45, 64, 1350, 2111], "ident": [3, 14, 23, 28, 30, 35, 64, 790, 816, 922, 923, 1096, 1200, 1310, 1311, 1312, 1313, 1326, 1338, 1341, 1345, 1362, 1417, 1418, 1434, 1463, 1673, 1723, 1724, 1730, 1733, 1969, 1973, 1979, 2017, 2040, 2058, 2059, 2068, 2072, 2080, 2101, 2111], "easi": [3, 23, 28, 30, 33, 47, 52, 1183, 2013, 2042, 2050, 2054, 2055, 2057, 2068, 2070, 2075, 2076, 2080, 2097, 2100, 2102, 2104], "differenti": [3, 35, 56, 61, 152, 354, 591, 804, 892, 894, 896, 901, 902, 903, 905, 908, 909, 911, 912, 913, 914, 915, 916, 917, 922, 923, 972, 1053, 1170, 1171, 1172, 1176, 1287, 1319, 1320, 1331, 1362, 1444, 1445, 1468, 1634, 1669, 1716, 1736, 1780, 1781, 1782, 1783, 1784, 1785, 1787, 1793, 1794, 1795, 1796, 1964, 2012, 2023, 2048, 2050, 2052, 2065, 2067, 2075, 2086, 2102], "distinguish": [3, 1186, 2070, 2080], "princip": [3, 1319, 1816], "signal": [3, 11, 30, 37, 47, 50, 740, 741, 742, 768, 769, 784, 785, 1124, 1125, 1126, 1127, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1269, 1335, 1427, 1428, 1429, 1431, 1432, 1433, 1435, 1436, 1437, 1453, 1454, 1455, 1473, 1474, 1493, 1494, 1495, 1514, 1519, 1520, 1521, 1580, 1581, 1591, 1592, 1593, 1594, 1595, 1596, 1599, 1607, 1610, 1627, 1628, 1650, 1653, 1654, 1655, 1657, 1658, 1659, 1923, 2012, 2032, 2057, 2069, 2075], "form": [3, 7, 9, 11, 23, 28, 33, 35, 46, 47, 48, 52, 53, 55, 60, 64, 762, 781, 787, 966, 1096, 1136, 1138, 1180, 1183, 1272, 1312, 1315, 1320, 1331, 1336, 1428, 1429, 1432, 1433, 1445, 1473, 1474, 1477, 1496, 1526, 1542, 1578, 1579, 1616, 1627, 1628, 1631, 1643, 1671, 1684, 1703, 1736, 1796, 1814, 1944, 2011, 2013, 2017, 2035, 2042, 2048, 2055, 2063, 2065, 2068, 2070, 2080, 2085, 2099, 2100, 2104, 2110], "treat": [3, 35, 46, 52, 58, 64, 66, 71, 72, 323, 473, 795, 922, 923, 977, 1050, 1165, 1201, 1272, 1325, 1328, 1330, 1342, 1344, 1354, 1355, 1356, 1357, 1374, 1420, 1469, 1479, 1498, 1530, 1531, 1532, 1533, 1536, 1541, 1555, 1560, 1624, 1715, 1716, 1766, 1770, 1802, 1855, 1870, 1923, 1938, 1939, 1945, 1960, 2015, 2016, 2033, 2035, 2042, 2063, 2065, 2075, 2080, 2083, 2091, 2099, 2102, 2103, 2107, 2110], "distinct": [3, 11, 82, 1165, 1308, 1309, 1353, 1439, 2016, 2048, 2060, 2065, 2067, 2075, 2076, 2098], "workload": [3, 8, 19, 23, 28, 55, 1053, 2045, 2051, 2054, 2058, 2069, 2075, 2095, 2109], "good": [3, 7, 8, 14, 64, 975, 1169, 1194, 1534, 1810, 1890, 2011, 2020, 2032, 2045, 2048, 2051, 2054, 2055, 2057, 2065, 2068, 2070, 2098, 2099, 2100, 2101, 2108], "intrins": [3, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 794, 795, 2071, 2072], "contrast": [3, 35, 37, 52, 762, 1183, 1477, 1796, 2040, 2042, 2049, 2051, 2080, 2106], "adaptive_autorang": 3, "threshold": [3, 24, 64, 1327, 1330, 1486, 1558, 1563, 1692, 1698, 1810, 1874, 2014, 2041, 2045, 2066, 2085], "min_run_tim": 3, "01": [3, 29, 32, 50, 490, 757, 782, 823, 824, 1109, 1151, 1512, 1647, 1648, 1706, 1778, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1790, 1793, 1794, 1795, 1796, 1797, 1802, 1808, 1828, 1881, 1883, 1884, 1889, 1890, 2014, 2040, 2054, 2065, 2067, 2106], "max_run_tim": 3, "callback": [3, 24, 37, 50, 63, 64, 1716, 2029, 2048, 2054, 2069, 2075], "similar": [3, 7, 9, 11, 20, 23, 28, 35, 44, 53, 55, 60, 63, 64, 495, 517, 714, 715, 716, 717, 718, 719, 722, 732, 733, 734, 735, 747, 748, 758, 766, 804, 880, 895, 908, 909, 956, 961, 974, 975, 1154, 1155, 1272, 1459, 1460, 1472, 1485, 1488, 1489, 1490, 1526, 1575, 1614, 1757, 1771, 1772, 1797, 1820, 1848, 1855, 1904, 1939, 1945, 1961, 2015, 2016, 2032, 2033, 2035, 2042, 2044, 2045, 2048, 2049, 2052, 2058, 2065, 2068, 2070, 2075, 2076, 2080, 2081, 2086, 2098, 2101, 2102, 2104, 2107, 2111, 2116], "blocked_autorang": 3, "variablil": 3, "until": [3, 5, 7, 23, 24, 28, 30, 32, 37, 47, 55, 63, 64, 488, 1010, 1011, 1013, 1044, 1162, 1293, 1345, 1385, 1388, 1389, 1632, 1706, 1716, 1799, 1801, 1805, 1945, 1981, 1982, 1995, 2028, 2032, 2040, 2045, 2050, 2051, 2060, 2063, 2065, 2069, 2075, 2077, 2082, 2099, 2102], "iqr": 3, "smaller": [3, 19, 23, 64, 501, 547, 997, 1496, 1716, 1810, 1825, 1870, 1915, 2045, 2060, 2068, 2097, 2113, 2116], "reach": [3, 7, 8, 9, 23, 24, 28, 29, 37, 47, 52, 56, 1345, 1716, 1799, 1802, 1805, 1806, 2042, 2048, 2057, 2071, 2075, 2100], "At": [3, 5, 6, 7, 15, 17, 19, 23, 33, 1142, 1440, 1441, 1442, 1453, 1454, 1455, 1456, 1457, 1458, 1493, 1494, 1495, 1965, 1969, 2026, 2035, 2044, 2052, 2070, 2075, 2081, 2099, 2100, 2102, 2111], "high": [3, 4, 7, 8, 9, 10, 15, 24, 28, 35, 37, 44, 46, 48, 64, 121, 1445, 1573, 1837, 1838, 1870, 1969, 2014, 2024, 2029, 2032, 2048, 2052, 2053, 2055, 2056, 2057, 2067, 2070, 2071, 2075, 2080, 2085, 2086, 2087, 2091, 2095, 2096, 2099, 2106, 2111, 2114, 2115], "pseudo": [3, 90], "block_siz": 3, "enough_data": 3, "len": [3, 23, 30, 64, 66, 71, 220, 547, 695, 697, 698, 701, 1127, 1131, 1134, 1138, 1141, 1145, 1176, 1276, 1339, 1360, 1372, 1417, 1420, 1462, 1671, 1742, 1744, 1760, 1801, 1808, 1912, 1915, 1921, 1922, 1926, 1970, 1971, 1972, 2013, 2014, 2016, 2048, 2066, 2079, 2080, 2085, 2099, 2110], "small_iqr": 3, "break": [3, 7, 28, 35, 58, 64, 682, 896, 975, 977, 1187, 1272, 1318, 1526, 1855, 1874, 2012, 2017, 2022, 2024, 2047, 2067, 2080, 2089, 2093, 2096, 2098, 2100, 2103, 2105, 2107], "stop": [3, 5, 28, 35, 37, 47, 48, 50, 53, 868, 897, 940, 1046, 1187, 1270, 1345, 1445, 1757, 1810, 1842, 2013, 2016, 2069, 2075, 2079, 2099, 2103], "repetit": [3, 1848, 1945], "statist": [3, 24, 28, 35, 801, 802, 822, 823, 824, 826, 827, 1019, 1056, 1058, 1059, 1060, 1062, 1064, 1065, 1066, 1071, 1072, 1073, 1074, 1085, 1086, 1350, 1440, 1441, 1442, 1480, 1488, 1489, 1490, 1498, 1499, 1500, 1501, 1508, 1509, 1510, 1566, 2029, 2042, 2050, 2067, 2070, 2073, 2102, 2111], "minimum": [3, 14, 19, 24, 47, 48, 52, 698, 699, 773, 797, 822, 823, 824, 827, 828, 878, 946, 1088, 1155, 1233, 1234, 1235, 1375, 1445, 1484, 1576, 1800, 1801, 1808, 1890, 1909, 1910, 1911, 1912, 1913, 1914, 2014, 2040, 2042, 2052, 2066, 2073, 2083, 2106], "total_tim": 3, "choic": [3, 8, 9, 28, 1288, 1336, 1527, 1536, 1833, 2044, 2065, 2073, 2080, 2098, 2099, 2111], "block": [3, 7, 8, 20, 23, 28, 30, 32, 34, 47, 50, 55, 63, 64, 488, 585, 586, 587, 938, 954, 1010, 1064, 1293, 1345, 1453, 1454, 1455, 1456, 1457, 1458, 1472, 1502, 1503, 1504, 1505, 1506, 1507, 1529, 1578, 1626, 1702, 1716, 1909, 1910, 1911, 2013, 2015, 2016, 2029, 2032, 2036, 2042, 2045, 2047, 2051, 2052, 2065, 2070, 2075, 2080, 2092, 2109, 2113, 2115], "qualiti": [3, 7, 24], "balanc": [3, 975], "compet": [3, 2057], "amort": 3, "invoc": [3, 5, 64, 844, 975, 980, 1185, 1275, 1288, 2013, 2016, 2045, 2048, 2054, 2065, 2075, 2077, 2096, 2109], "less": [3, 6, 7, 14, 23, 24, 28, 35, 50, 52, 55, 366, 682, 911, 913, 922, 923, 997, 1060, 1078, 1108, 1152, 1156, 1165, 1297, 1309, 1345, 1361, 1362, 1430, 1486, 1540, 1549, 1558, 1564, 1760, 1846, 1953, 1955, 2011, 2014, 2016, 2035, 2045, 2048, 2051, 2057, 2058, 2066, 2070, 2099, 2102, 2109], "bias": [3, 24, 736, 762, 796, 1440, 1441, 1442, 1477, 1478, 1480, 1488, 1489, 1490, 1496, 1497, 1498, 1541, 1542, 1544, 1566, 1586, 1587, 1715, 2067], "trivial": [3, 37, 40, 737, 965, 1180, 1187, 1730, 1912, 2065, 2077, 2099, 2101], "low": [3, 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1065, 1066, 1071, 1085, 1086, 1128, 1230, 1231, 1292, 1812, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 2014, 2029, 2057, 2115], "overal": [3, 9, 23, 33, 37, 47, 922, 1124, 1125, 1127, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1145, 1573, 2042, 2044, 2045, 2057, 2070, 2071, 2105], "main": [3, 7, 23, 24, 28, 29, 30, 35, 37, 38, 39, 40, 45, 47, 48, 50, 51, 52, 64, 262, 498, 975, 1095, 1096, 1097, 1098, 1099, 1335, 1634, 1907, 1952, 1953, 1954, 1955, 2011, 2013, 2020, 2029, 2032, 2034, 2035, 2041, 2042, 2045, 2047, 2048, 2049, 2051, 2055, 2057, 2061, 2062, 2063, 2070, 2075, 2076, 2085, 2086, 2092, 2093, 2097, 2099, 2102, 2110], "collect_callgrind": 3, "collect_baselin": 3, "retain_out_fil": 3, "callgrindstat": [3, 2012], "tupl": [3, 5, 12, 14, 19, 23, 28, 30, 33, 34, 37, 44, 45, 47, 52, 53, 55, 64, 235, 321, 447, 449, 451, 499, 522, 539, 562, 585, 586, 587, 695, 697, 698, 699, 701, 737, 768, 769, 770, 771, 774, 775, 776, 781, 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1548, 1549, 1550, 1551, 1552, 1553, 1579, 1582, 1583, 1584, 1643, 1703, 1802, 1808, 2014, 2047, 2068, 2075, 2102], "caller": [3, 37, 47, 64, 857, 1272, 1526, 1574, 1912, 2042, 2045, 2075, 2077], "structur": [3, 5, 9, 12, 23, 24, 28, 33, 36, 37, 40, 48, 52, 53, 55, 64, 66, 67, 71, 75, 895, 908, 909, 941, 975, 989, 1159, 1172, 1177, 1185, 1192, 1193, 1288, 1526, 1586, 1743, 1747, 1779, 1816, 1928, 1976, 2012, 2015, 2017, 2023, 2029, 2035, 2045, 2047, 2048, 2049, 2051, 2057, 2060, 2061, 2063, 2065, 2067, 2068, 2075, 2085, 2086, 2087, 2089, 2091, 2093, 2098, 2099, 2100, 2102, 2103, 2107, 2113], "restrict": [3, 8, 12, 23, 35, 53, 55, 60, 61, 977, 989, 1344, 1367, 1461, 2015, 2016, 2017, 2034, 2035, 2042, 2045, 2052, 2070, 2098], "builtin": [3, 28, 64, 66, 75, 1285, 1344, 1842, 1934, 2013, 2015, 2017, 2075, 2077, 2099, 2102, 2111], "surpris": [3, 8, 55, 2011, 2052, 2058, 2101], "serial": [3, 15, 23, 28, 30, 32, 47, 1272, 1282, 1283, 1344, 1526, 1706, 1858, 2011, 2012, 2014, 2027, 2034, 2042, 2045, 2051, 2054, 2055, 2057, 2063, 2068, 2070, 2075, 2076], "subsequ": [3, 7, 14, 15, 17, 28, 52, 55, 64, 975, 1011, 1272, 1284, 1288, 1453, 1454, 1455, 1456, 1457, 1458, 1526, 1555, 2045, 2059, 2065, 2075, 2080, 2093, 2096, 2102], "deseri": [3, 30, 1344, 1706, 2011, 2027, 2060, 2075], "globalsbridg": 3, "care": [3, 7, 14, 28, 35, 55, 63, 64, 1129, 1131, 1186, 1187, 1526, 2032, 2044, 2045, 2047, 2048, 2050, 2055, 2057, 2060, 2065, 2075, 2080, 2096, 2101, 2102, 2103], "reli": [3, 9, 14, 23, 24, 28, 33, 37, 40, 55, 64, 152, 896, 922, 1108, 1462, 1797, 2025, 2042, 2044, 2047, 2048, 2051, 2059, 2060, 2080, 2084, 2101, 2102, 2103, 2105], "pickl": [3, 23, 24, 28, 1272, 1344, 1526, 1858, 2011, 2027, 2032, 2060, 2068, 2075, 2113], "transfer": [3, 23, 28, 55, 2026, 2032, 2045, 2053, 2055, 2068, 2075, 2083], "properli": [3, 7, 23, 24, 30, 32, 37, 47, 63, 977, 1129, 1130, 1131, 1139, 1140, 1141, 1374, 1527, 1528, 1536, 1537, 1716, 1965, 2011, 2023, 2048, 2052, 2055, 2057, 2060, 2063, 2075, 2076, 2083], "profil": [3, 4, 17, 19, 44, 64, 488, 930, 931, 938, 975, 1286, 1709, 1710, 1711, 1712, 1874, 2012, 2051, 2066, 2075, 2092, 2102], "empti": [3, 27, 28, 30, 37, 45, 53, 55, 60, 64, 235, 323, 515, 517, 525, 539, 547, 819, 942, 945, 946, 956, 962, 1108, 1110, 1270, 1273, 1298, 1318, 1319, 1324, 1331, 1354, 1355, 1356, 1357, 1364, 1439, 1461, 1469, 1533, 1605, 1624, 1671, 1764, 1776, 1777, 1912, 1927, 1942, 2010, 2013, 2014, 2015, 2016, 2018, 2026, 2028, 2033, 2034, 2035, 2040, 2043, 2045, 2048, 2059, 2065, 2066, 2068, 2080, 2081, 2086, 2089, 2098, 2099, 2101, 2106, 2109], "drive": [3, 9, 28, 2042], "facil": [3, 25, 1344, 2032], "analyz": [3, 4, 18, 52, 64, 2047, 2048, 2051, 2058, 2111], "manipul": [3, 19, 55, 63, 1276, 2012, 2041, 2050, 2055, 2073, 2110], "1000000": [3, 1780], "mirror": [3, 141, 1716], "semant": [3, 9, 11, 17, 28, 47, 48, 52, 53, 55, 62, 64, 152, 796, 877, 878, 879, 896, 917, 957, 1013, 1064, 1166, 1177, 1185, 1200, 1201, 1276, 1283, 1342, 1439, 1605, 1677, 1723, 1724, 1797, 1961, 1976, 2012, 2015, 2016, 2020, 2023, 2035, 2049, 2055, 2065, 2075, 2080, 2102], "number_per_run": 3, "raw_tim": 3, "task_spec": 3, "serializ": [3, 24, 2013], "consum": [3, 23, 30, 33, 36, 50, 53, 63, 437, 1108, 2032, 2045, 2051, 2057, 2062, 2063, 2065, 2085], "extrapol": 3, "sinc": [3, 7, 23, 24, 28, 30, 34, 35, 40, 50, 52, 55, 64, 317, 490, 536, 749, 787, 795, 810, 811, 965, 1056, 1058, 1060, 1108, 1148, 1149, 1150, 1165, 1269, 1272, 1277, 1283, 1286, 1362, 1438, 1468, 1522, 1523, 1524, 1526, 1579, 1587, 1597, 1632, 1634, 1703, 1706, 1709, 1747, 1766, 1771, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1787, 1793, 1794, 1795, 1796, 1797, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1811, 1812, 1923, 2013, 2014, 2015, 2016, 2020, 2022, 2026, 2029, 2035, 2041, 2042, 2045, 2048, 2049, 2050, 2051, 2052, 2054, 2055, 2060, 2061, 2062, 2065, 2066, 2068, 2069, 2070, 2074, 2075, 2076, 2077, 2080, 2081, 2083, 2084, 2086, 2087, 2096, 2099, 2102, 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1287, 1288, 1766, 1965, 1967, 2011, 2013, 2015, 2016, 2020, 2024, 2048, 2055, 2065, 2068, 2087, 2096, 2099, 2102, 2111], "9823794": 3, "bar": [3, 7, 44, 52, 64, 66, 74, 75, 857, 862, 997, 1165, 1275, 1283, 1921, 1922, 1971, 1972, 2011, 2013, 2015, 2027, 2055, 2065, 2068, 2087], "53453": 3, "src": [3, 28, 64, 198, 230, 315, 323, 473, 514, 515, 516, 517, 518, 519, 521, 540, 1099, 1166, 1570, 1573, 1574, 1777, 1859, 1860, 1861, 1865, 1895, 1938, 1964, 2014, 2068, 2106], "function_that_actually_chang": 3, "second_build_dir": 3, "cancel": [3, 1269], "site": [3, 7, 2046, 2093], "denois": 3, "explan": [3, 9, 20, 25, 40, 865, 1272, 1526, 2012, 2047, 2048, 2055, 2102, 2108, 2111], "delta": [3, 35, 762, 997, 1477, 1486, 1496, 1558, 1641, 1781, 1921, 1922, 1949, 1971, 1972, 2014, 2040], "inclus": [3, 35, 52, 90, 515, 1191, 1197, 1233, 1235, 1343, 1359, 1365, 1588, 1589, 1837, 1838, 1920, 2074, 2087], "diff": [3, 7, 2013, 2014, 2066], "One": [3, 8, 14, 28, 30, 52, 53, 58, 60, 64, 585, 954, 977, 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2111, 2113], "autom": [3, 8, 64, 2013, 2070, 2093, 2102, 2111], "easili": [3, 7, 8, 11, 24, 28, 30, 33, 52, 1166, 1533, 1632, 1671, 1797, 1855, 1965, 2028, 2048, 2049, 2052, 2055, 2060, 2067, 2074, 2075, 2077, 2085, 2102, 2110, 2111], "exclus": [3, 23, 28, 35, 37, 47, 52, 55, 64, 737, 1235, 1716, 1837, 1838, 1841, 2042, 2087], "basi": [3, 9, 10, 35, 682, 1345, 1802, 2045, 2054, 2070, 2075], "thought": [3, 44, 64, 1126, 1128, 1144, 1191, 2099], "path_and_function_nam": 3, "children": [3, 33, 40, 55, 64, 793, 1272, 1526, 2032, 2051, 2055, 2068, 2077], "identifi": [3, 7, 9, 28, 30, 37, 41, 44, 47, 48, 50, 64, 488, 819, 1235, 1344, 1566, 2017, 2020, 2032, 2043, 2054, 2055, 2068, 2075, 2076, 2077, 2085, 2098, 2109], "hot": [3, 35, 1634, 1670, 2052, 2096], "spot": [3, 1723, 1724], "_data": 3, "truncate_row": 3, "_linewidth": 3, "subtract": [3, 315, 566, 868, 1162, 1634, 1909, 1910, 1911, 1913, 1914, 1924, 2014, 2035, 2066, 2080], "index": [3, 15, 19, 23, 24, 28, 30, 33, 35, 45, 52, 64, 193, 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66, 76, 77, 1172, 1173, 1187, 1288, 1289, 1344, 1453, 1454, 1455, 1456, 1457, 1458, 1472, 1496, 1542, 1556, 1558, 1578, 1643, 1687, 1706, 1882, 1883, 1928, 1942, 2012, 2014, 2018, 2020, 2029, 2032, 2035, 2040, 2042, 2044, 2059, 2065, 2067, 2075, 2077, 2081, 2092, 2098, 2103, 2111], "quit": [3, 7, 64, 1723, 1724, 2016, 2048, 2050, 2068, 2075, 2109], "noisi": 3, "higher": [3, 7, 8, 24, 28, 55, 56, 61, 66, 71, 75, 152, 896, 898, 917, 1013, 1053, 1064, 1100, 1167, 1173, 1177, 1181, 1197, 1200, 1233, 1249, 1419, 1461, 1518, 1533, 1684, 1781, 1827, 1928, 1976, 1982, 2012, 2020, 2045, 2048, 2049, 2052, 2054, 2060, 2070, 2071, 2075, 2083, 2098], "filter": [3, 20, 546, 774, 775, 776, 1269, 1292, 1453, 1454, 1455, 1456, 1457, 1458, 1607, 1608, 1609, 1610, 1611, 1612, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1923, 2016, 2068, 2111], "transform": [3, 12, 23, 30, 33, 34, 52, 55, 60, 62, 81, 82, 83, 417, 783, 799, 840, 841, 860, 861, 966, 1124, 1125, 1126, 1127, 1128, 1129, 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1787, 1790, 1793, 1794, 1795, 1796, 1797, 1990, 2015, 2017, 2048, 2055, 2063, 2065, 2067, 2075, 2085, 2090, 2107, 2112, 2113], "lookup": [3, 30, 35, 47, 1468, 1623, 2013, 2017, 2044, 2076, 2105], "map": [3, 14, 28, 30, 35, 37, 44, 45, 47, 48, 52, 53, 55, 60, 61, 64, 66, 75, 82, 686, 737, 794, 795, 799, 801, 816, 817, 819, 841, 842, 857, 858, 859, 860, 861, 867, 888, 956, 1160, 1166, 1177, 1183, 1185, 1187, 1192, 1226, 1235, 1280, 1283, 1344, 1345, 1456, 1457, 1458, 1464, 1465, 1466, 1470, 1472, 1522, 1523, 1524, 1527, 1536, 1618, 1619, 1620, 1625, 1730, 1747, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1790, 1793, 1794, 1795, 1796, 1797, 1827, 1829, 1960, 1961, 1976, 2017, 2028, 2034, 2036, 2042, 2045, 2047, 2048, 2049, 2056, 2061, 2063, 2068, 2070, 2073, 2075, 2076, 2077, 2082, 2087, 2100, 2101, 2110, 2112], "agnost": [3, 16, 47, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1632, 1723, 1724, 2020, 2034], "reliabl": 3, "warrant": 3, "except": [3, 5, 7, 9, 14, 28, 29, 30, 35, 37, 39, 40, 44, 48, 52, 53, 55, 63, 64, 585, 589, 590, 619, 686, 695, 697, 698, 701, 762, 888, 921, 922, 923, 962, 969, 973, 1012, 1022, 1024, 1052, 1065, 1100, 1106, 1108, 1154, 1155, 1175, 1177, 1189, 1236, 1272, 1280, 1288, 1290, 1294, 1328, 1344, 1360, 1370, 1372, 1373, 1375, 1378, 1396, 1417, 1420, 1422, 1477, 1496, 1526, 1542, 1579, 1670, 1709, 1716, 1731, 1757, 1764, 1765, 1769, 1771, 1824, 1848, 1864, 1867, 1900, 1912, 1919, 1921, 1922, 1926, 1949, 1971, 1972, 1976, 1977, 2012, 2013, 2015, 2016, 2017, 2018, 2020, 2023, 2032, 2035, 2045, 2048, 2051, 2055, 2058, 2061, 2063, 2068, 2075, 2077, 2080, 2082, 2083, 2087, 2097, 2099, 2101, 2109, 2110, 2113, 2115], "filter_fn": 3, "map_fn": 3, "coalesc": [3, 325, 330, 546, 616, 1021, 1908, 1912, 1959, 2014, 2047, 2066, 2080, 2102], "entri": [3, 19, 28, 29, 32, 35, 37, 38, 45, 47, 48, 317, 737, 861, 862, 935, 1050, 1051, 1098, 1149, 1150, 1247, 1272, 1293, 1468, 1469, 1526, 1532, 1623, 1624, 1742, 1743, 1751, 1780, 1781, 1782, 1783, 1784, 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2047, 2048, 2050, 2052, 2065, 2084, 2085, 2086, 2093, 2098, 2108], "finit": [4, 35, 922, 923, 1261, 1262, 1308, 1309, 1319, 1320, 1336, 1362, 1412, 1416, 1438, 1927, 2048, 2052, 2087], "natur": [4, 7, 8, 11, 30, 35, 55, 66, 68, 86, 922, 923, 1301, 1306, 1332, 1346, 1348, 1353, 1430, 1574, 1684, 2051, 2052, 2062, 2063, 2080, 2081], "against": [4, 5, 14, 28, 37, 47, 796, 868, 922, 923, 1136, 1137, 1138, 1142, 1143, 1145, 1213, 1263, 1272, 1288, 1289, 1526, 1532, 1778, 2011, 2016, 2068, 2091, 2099, 2108], "cprofil": 4, "mode": [4, 8, 23, 24, 28, 30, 35, 47, 50, 52, 60, 61, 64, 81, 223, 224, 490, 748, 749, 774, 775, 776, 781, 787, 788, 789, 817, 819, 825, 828, 862, 863, 892, 894, 898, 901, 902, 903, 908, 909, 911, 912, 913, 914, 918, 919, 920, 922, 975, 980, 1008, 1041, 1082, 1083, 1112, 1124, 1125, 1127, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1145, 1166, 1169, 1170, 1171, 1172, 1175, 1176, 1181, 1186, 1220, 1255, 1256, 1270, 1272, 1273, 1276, 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[4, 28, 936, 1808, 2044, 2055, 2102, 2109, 2111], "appear": [4, 24, 28, 35, 52, 53, 64, 857, 1053, 1108, 1149, 1150, 1177, 1344, 1378, 1380, 1717, 1848, 1876, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1976, 2013, 2016, 2033, 2034, 2048, 2049, 2055, 2065, 2068, 2099, 2102, 2109], "extrem": [4, 28, 1716, 2042, 2065, 2101], "expens": [4, 23, 35, 55, 1730, 2045, 2052, 2054, 2069, 2075, 2086, 2098, 2102, 2105, 2108, 2111], "bound": [4, 15, 24, 28, 52, 55, 483, 797, 959, 970, 1122, 1123, 1180, 1187, 1191, 1196, 1272, 1435, 1436, 1437, 1519, 1520, 1521, 1526, 1545, 1632, 1810, 1841, 1862, 2016, 2017, 2040, 2042, 2051, 2068, 2070, 2081, 2098, 2099, 2101, 2111], "greater": [4, 28, 47, 66, 67, 294, 619, 682, 951, 964, 965, 970, 1124, 1125, 1127, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1145, 1215, 1229, 1327, 1392, 1438, 1575, 1632, 1643, 1670, 1684, 1700, 1703, 1731, 1765, 1810, 1964, 2014, 2042, 2045, 2059, 2066, 2080, 2081], "spend": [4, 7, 19, 33, 1345, 2024, 2105], "sens": [4, 35, 47, 64, 1747, 1960, 1961, 2016, 2042, 2051], "respons": [4, 7, 9, 28, 30, 32, 33, 35, 37, 44, 50, 55, 63, 977, 1011, 1189, 1514, 1650, 1716, 1912, 2042, 2045, 2048, 2049, 2055, 2063, 2075, 2101], "Of": [4, 1770, 2011, 2047, 2048, 2092, 2099, 2102], "cours": [4, 19, 64, 2011, 2047, 2048, 2075, 2099, 2102], "realiti": [4, 2051], "complic": [4, 24, 34, 52, 64, 795, 1870, 2020, 2034, 2043, 2068, 2075, 2077, 2099, 2101], "account": [4, 33, 45, 64, 1439, 1716, 2040, 2044, 2051, 2080, 2096], "heavili": [4, 65, 1786, 2044, 2048, 2068], "similarli": [4, 7, 30, 33, 52, 63, 64, 762, 792, 796, 861, 966, 1128, 1272, 1328, 1526, 1574, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1754, 1952, 1953, 1954, 1955, 2015, 2042, 2048, 2050, 2052, 2058, 2080, 2101, 2104, 2109], "platform": [4, 8, 9, 14, 28, 39, 40, 44, 1319, 1320, 1331, 1826, 1927, 2026, 2053, 2058, 2059, 2070], "startup": [4, 19], "slower": [4, 14, 28, 33, 879, 912, 1148, 1149, 1150, 1302, 1309, 1651, 1730, 1781, 2048, 2059, 2067, 2081, 2101], "rerun": [5, 28, 2045], "segment": [5, 1064, 1162, 1558, 2045, 2068, 2102, 2107, 2113], "persist": [5, 21, 30, 52, 55, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 79, 762, 817, 818, 819, 1272, 1477, 1496, 1526, 1542, 2055, 2060, 2061, 2063, 2082, 2096, 2101, 2105], "rng": [5, 23, 1039, 1079, 1386, 1393, 1863, 1993, 2004, 2045, 2059, 2074], "advanc": [5, 15, 23, 24, 37, 1570, 1572, 1574, 1770, 1928, 1967, 2023, 2034, 2045, 2048, 2053, 2057, 2063, 2084, 2085, 2102], "juggl": 5, "moder": 5, "hit": [5, 8, 14, 1189, 1716, 2011, 2045, 2096, 2099, 2102, 2105, 2111], "preserve_rng_st": 5, "checkpoint_sequenti": [5, 2012], "omit": [5, 14, 28, 48, 152, 1142, 1143, 1145, 1187, 1479, 1540, 2061, 2065, 2075, 2087, 2099, 2103], "exclud": [5, 9, 24, 47, 64, 984, 1235, 1469, 1624, 1673, 1778, 1870, 1952, 1953, 1954, 1955, 2042, 2053, 2060, 2068, 2076, 2100, 2102], "_infer_device_typ": 5, "remain": [5, 8, 19, 35, 47, 64, 1380, 1468, 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"moto": 10, "hira": 10, "mthrok": 10, "hwang": 10, "hwangjeff": 10, "carolin": 10, "chen": 10, "carolineechen": 10, "xiaohui": 10, "zhaoheng": 10, "ni": 10, "nateanl": 10, "qb": 10, "ivchenko": 10, "divchenko": 10, "colin": 10, "colin2328": 10, "wenlei": 10, "xie": 10, "wenleix": 10, "express": [11, 12, 30, 53, 56, 60, 61, 64, 66, 74, 75, 76, 77, 321, 989, 1180, 1183, 1187, 1194, 1198, 1199, 1200, 1201, 1211, 1270, 1273, 1768, 1923, 2017, 2026, 2035, 2042, 2046, 2048, 2070, 2098, 2099, 2102, 2111, 2112], "bj": 11, "j": [11, 28, 35, 315, 317, 323, 515, 517, 519, 694, 901, 911, 913, 986, 1108, 1124, 1125, 1132, 1138, 1142, 1143, 1213, 1269, 1272, 1308, 1309, 1320, 1336, 1345, 1352, 1360, 1362, 1367, 1464, 1465, 1466, 1470, 1526, 1529, 1618, 1619, 1620, 1625, 1820, 1827, 1906, 1923, 1927, 1973, 2015, 2040, 2042, 2048, 2052, 2060, 2085], "imaginari": [11, 313, 922, 986, 993, 1129, 1131, 1139, 1140, 1141, 1243, 1262, 1264, 1265, 1268, 1839, 1923, 1974, 1975, 2017, 2042, 2052, 2087], "satisfi": [11, 21, 24, 35, 53, 64, 619, 696, 762, 796, 912, 922, 923, 959, 1124, 1125, 1127, 1129, 1131, 1139, 1140, 1141, 1156, 1186, 1286, 1312, 1338, 1339, 1430, 1445, 1472, 1477, 1496, 1542, 1747, 1764, 1846, 1862, 1902, 1923, 2016, 2020, 2042, 2045, 2051, 2052, 2067, 2069, 2080, 2083, 2100], "equat": [11, 968, 1108, 1180, 1191, 1216, 1230, 1316, 1317, 1318, 1319, 1320, 1322, 1333, 1335, 1438, 1887, 1951, 2014, 2042, 2052, 2067, 2081], "frequent": [11, 30, 1430, 2012, 2045, 2057, 2058, 2060, 2080, 2092, 2093, 2104], "occur": [11, 23, 28, 40, 41, 47, 55, 60, 84, 86, 198, 317, 898, 931, 975, 1067, 1108, 1187, 1269, 1275, 1286, 1316, 1445, 1566, 1585, 1616, 1771, 1780, 1781, 1782, 1783, 1784, 1785, 1787, 1793, 1794, 1795, 1796, 1797, 2015, 2029, 2034, 2041, 2042, 2045, 2050, 2058, 2063, 2065, 2069, 2075, 2077, 2084, 2087, 2098, 2099, 2102, 2104, 2107, 2109, 2111, 2112, 2113], "mathemat": [11, 64, 911, 912, 913, 914, 915, 916, 1156, 1226, 1438, 1440, 1441, 1442, 1488, 1489, 1490, 1491, 1566, 1651, 1691, 1716, 1771, 1846, 1904, 1905, 2016, 2020, 2042, 2058, 2081, 2089], "topic": [11, 52, 2054, 2055, 2100], "tradition": 11, "torchaudio": [11, 2012], "mimick": 11, "assembli": 11, "lapack": [11, 1216, 1303, 1314, 1315, 1316, 1318, 1321, 1334, 1826, 1927], "spectral": [11, 1292, 1308, 1336, 1731, 1755, 1765, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 2058], "fft": [11, 2012, 2045], "4621": 11, "0303j": 11, "2438": [11, 1318, 1623], "5874j": 11, "7706": 11, "1421j": 11, "2110": 11, "1918j": 11, "complex128": [11, 177, 986, 1151, 1161, 1251, 1272, 1302, 1303, 1308, 1309, 1310, 1311, 1312, 1313, 1453, 1454, 1455, 1526, 1607, 1608, 1609, 1777, 1820, 1867, 2082, 2083, 2086, 2087, 2102], "complex64": [11, 180, 967, 968, 986, 1125, 1127, 1128, 1133, 1134, 1161, 1251, 1304, 1327, 1330, 1453, 1454, 1455, 1607, 1608, 1609, 1777, 1820, 1867, 2082, 2083, 2086, 2087, 2102], "apart": [11, 2016, 2042], "linspac": [11, 946, 970, 1129, 1139, 1374, 2014, 2018, 2066], "logspac": [11, 2014, 2018, 2066], "arang": [11, 23, 28, 36, 515, 609, 693, 694, 695, 699, 701, 889, 890, 891, 957, 969, 973, 1091, 1106, 1124, 1128, 1136, 1142, 1144, 1148, 1149, 1150, 1151, 1158, 1159, 1236, 1293, 1294, 1298, 1301, 1325, 1328, 1329, 1342, 1422, 1446, 1447, 1448, 1548, 1549, 1550, 1551, 1552, 1579, 1580, 1581, 1670, 1771, 1772, 1815, 1823, 1827, 1842, 1849, 1854, 1874, 1907, 1915, 1926, 1943, 1944, 1946, 1947, 1949, 1977, 2014, 2023, 2035, 2060, 2066, 2081, 2085, 2086, 2096, 2099, 2104, 2106], "switch": [11, 19, 23, 30, 58, 63, 64, 81, 1315, 1316, 1317, 1465, 1632, 1671, 1721, 1780, 1781, 1782, 1783, 1784, 1785, 1787, 1793, 1794, 1795, 1796, 1858, 1964, 2032, 2042, 2045, 2055, 2057, 2067, 2103], "view_as_r": [11, 1923, 2014, 2066, 2084], "6125": 11, "1681": 11, "3773": 11, "3487": 11, "0861": 11, "7981": 11, "1681j": 11, "3487j": 11, "7981j": 11, "mul_": [11, 66, 79, 2014, 2033, 2035, 2080], "2250": [11, 1329, 1771], "7546": 11, "1722": 11, "x1": [11, 52, 963, 1320, 1460, 1518, 1575, 1576, 1614, 1672, 2014, 2106], "3j": [11, 28, 700, 990, 991, 1850, 1851, 1867], "4j": [11, 28, 1877], "0000": [11, 35, 515, 868, 911, 913, 946, 966, 970, 993, 1089, 1095, 1096, 1097, 1122, 1123, 1126, 1128, 1129, 1135, 1136, 1139, 1144, 1156, 1157, 1158, 1226, 1232, 1235, 1239, 1298, 1301, 1302, 1303, 1315, 1316, 1319, 1324, 1325, 1329, 1331, 1343, 1359, 1417, 1468, 1469, 1579, 1580, 1582, 1583, 1623, 1624, 1771, 1820, 1826, 1831, 1832, 1833, 1842, 1846, 1847, 1871, 1877, 1879, 1880, 1882, 1885, 1886, 1887, 1888, 1905, 1951, 1952, 1954, 1979, 2023, 2035, 2045, 2080, 2081, 2086], "6569": [11, 1239], "5708": [11, 1092], "7854": 11, "complex_tensor": 11, "pt": [11, 24, 30, 55, 1160, 1277, 1280, 1283, 1290, 1344, 1858, 2013, 2024, 2055, 2060, 2068, 2104], "conjug": [11, 332, 460, 694, 922, 967, 968, 990, 991, 1252, 1302, 1303, 1309, 1312, 1315, 1322, 1336, 1341, 1345, 1730, 1814, 1850, 1923, 1927, 1973, 2052, 2067, 2086], "wirting": [11, 922, 2052], "deriv": [11, 28, 33, 52, 55, 152, 740, 741, 742, 743, 744, 745, 783, 802, 826, 896, 917, 922, 923, 1172, 1176, 1183, 1226, 1269, 1330, 1362, 1574, 1706, 2012, 2015, 2048, 2049, 2052, 2075, 2080, 2081], "steepest": [11, 2042], "descent": [11, 35, 1780, 1796, 1800, 1801, 2042, 2055], "box": [11, 28, 48, 64, 977, 1177, 1185, 1976, 2034, 2042, 2047, 2063, 2097, 2098, 2103, 2104], "real_param": 11, "p": [11, 24, 30, 35, 55, 64, 156, 236, 288, 427, 428, 455, 490, 493, 494, 688, 691, 943, 945, 955, 963, 1102, 1293, 1304, 1310, 1311, 1319, 1320, 1362, 1364, 1367, 1377, 1415, 1434, 1463, 1464, 1465, 1466, 1468, 1469, 1470, 1491, 1493, 1494, 1495, 1531, 1535, 1537, 1575, 1576, 1598, 1617, 1618, 1619, 1620, 1623, 1624, 1625, 1653, 1654, 1655, 1665, 1669, 1672, 1673, 1684, 1700, 1721, 1734, 1736, 1742, 1751, 1771, 1796, 1847, 1904, 2014, 2015, 2041, 2042, 2045, 2050, 2052, 2057, 2067, 2069, 2080, 2081, 2105, 2106], "complex_optim": 11, "adamw": [11, 1787, 1793, 2067], "real_optim": 11, "slight": [11, 1866, 2080, 2083], "discrep": [11, 1716, 1833, 2052], "foreach": [11, 1720, 1721, 1722, 1780, 1781, 1782, 1783, 1784, 1785, 1787, 1793, 1794, 1795, 1796, 2067], "v": [11, 30, 44, 52, 59, 64, 489, 490, 546, 901, 912, 914, 915, 916, 942, 959, 1165, 1175, 1177, 1187, 1269, 1286, 1308, 1312, 1336, 1340, 1345, 1532, 1575, 1576, 1586, 1623, 1669, 1732, 1763, 1768, 1780, 1781, 1782, 1783, 1784, 1785, 1787, 1793, 1794, 1795, 1796, 1816, 1849, 1908, 1912, 1927, 1928, 1976, 2013, 2014, 2015, 2016, 2029, 2042, 2052, 2061, 2068, 2080, 2085, 2095], "forloop": 11, "numerical_accuraci": 11, "impact": [11, 24, 28, 83, 1064, 1870, 2026, 2029, 2042, 2070, 2084, 2102, 2107, 2111], "pointwis": [11, 35, 975, 1170, 1171, 1350, 1351, 1491, 2033, 2043, 2101, 2104, 2105], "lbfg": [11, 2067], "yet": [11, 29, 33, 37, 52, 53, 55, 60, 63, 64, 73, 82, 84, 85, 488, 1010, 1082, 1198, 1275, 1277, 1290, 1378, 1716, 1738, 1742, 1744, 1783, 1784, 2012, 2015, 2016, 2022, 2028, 2034, 2035, 2045, 2065, 2066, 2070, 2075, 2077, 2080, 2081, 2083, 2096, 2099, 2101, 2102, 2107, 2109, 2111], "fulli": [11, 14, 23, 28, 30, 32, 33, 34, 52, 59, 64, 682, 1071, 1185, 1272, 1522, 1523, 1524, 1526, 2016, 2022, 2028, 2048, 2068, 2070, 2098, 2099, 2106], "quantiz": [11, 27, 64, 221, 328, 340, 474, 475, 476, 477, 478, 480, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 865, 866, 867, 935, 1093, 1122, 1123, 1828, 1829, 1830, 1831, 1832, 1964, 2012, 2066, 2083, 2086, 2087, 2090, 2091], "pred": [12, 66, 69, 74, 75, 989, 1491, 1716, 2056, 2067, 2075, 2106], "union": [12, 14, 23, 30, 33, 34, 37, 41, 45, 48, 52, 53, 55, 64, 989, 1183, 1185, 1284, 1344, 1427, 1428, 1429, 1431, 1432, 1433, 1435, 1436, 1437, 1473, 1474, 1493, 1494, 1495, 1519, 1520, 1521, 1526, 1570, 1572, 1574, 1577, 1590, 1736, 1777, 1858, 1967, 2014, 2015, 2016, 2020, 2060, 2063, 2065, 2068, 2082, 2085, 2087, 2091], "true_fn": [12, 53, 66, 69, 74, 75, 989], "false_fn": [12, 53, 66, 69, 74, 75, 989], "operand": [12, 66, 74, 75, 951, 989, 1108, 2016, 2017, 2048, 2080, 2083], "Its": [12, 28, 53, 64, 997, 1022, 1272, 1320, 1338, 1339, 1364, 1526, 1771, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1790, 1793, 1794, 1795, 1796, 1797, 1973, 2016, 2047], "uniqu": [12, 28, 37, 44, 47, 48, 50, 515, 519, 1263, 1308, 1309, 1313, 1319, 1320, 1322, 1331, 1333, 1335, 1336, 1373, 1380, 1904, 1927, 1961, 2011, 2013, 2022, 2027, 2048, 2068, 2069, 2075, 2076, 2077, 2080, 2085, 2096, 2113], "predic": [12, 66, 71, 74, 75, 1187], "unlock": [12, 2023], "flexibilti": 12, "architectur": [12, 34, 64, 1034, 1124, 1125, 1127, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1145, 1461, 1570, 1615, 1871, 2045, 2058, 2070, 2080, 2095], "prototyp": [12, 18, 19, 28, 52, 682, 911, 913, 917, 922, 923, 989, 1282, 1574, 1586, 1587, 2012, 2023, 2029, 2034, 2035, 2055, 2060, 2073, 2075, 2080, 2083, 2089, 2090, 2091, 2093], "classif": [12, 989, 1439, 1445, 1461, 1529, 1531, 1533, 1559, 1616, 2012, 2040, 2071], "co": [12, 52, 53, 61, 66, 70, 71, 74, 75, 76, 77, 79, 203, 637, 638, 685, 953, 975, 989, 1050, 1167, 1170, 1171, 1176, 1230, 1231, 1324, 1459, 1460, 1463, 1800, 1801, 1808, 1820, 1881, 1885, 1886, 1887, 1888, 1890, 1909, 1910, 1911, 1913, 1914, 2014, 2020, 2033, 2066, 2067, 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visualizer": [[2113, "using-the-visualizer"]], "Active Memory Timeline": [[2113, "active-memory-timeline"]], "Allocator State History": [[2113, "allocator-state-history"]], "Snapshot API Reference": [[2113, "snapshot-api-reference"]], "torch.xpu": [[2118, "module-torch.xpu"]], "Random Number Generator": [[2118, "random-number-generator"], [17, "random-number-generator"]], "Streams and events": [[2118, "streams-and-events"], [2031, "streams-and-events"], [17, "streams-and-events"], [16, "streams-and-events"]], "torch.utils": [[2117, "module-torch.utils"]], "PyTorch 2.0 NNModule Support": [[2107, "pytorch-2-0-nnmodule-support"]], "NNModule Hooks Support": [[2107, "nnmodule-hooks-support"]], "nn.Module.__call__ Hooks Usage and limitations": [[2107, "nn-module-call-hooks-usage-and-limitations"]], "state_dict Hooks": [[2107, "state-dict-hooks"]], "Dynamo Deep-Dive": [[2099, "dynamo-deep-dive"]], "A Gentle Introduction to Dynamo": [[2099, "a-gentle-introduction-to-dynamo"]], "PEP 523: Adding a frame evaluation API to CPython": [[2099, "pep-523-adding-a-frame-evaluation-api-to-cpython"]], "Implementing CPython in Python": [[2099, "implementing-cpython-in-python"]], "Generating the Output Graph": [[2099, "generating-the-output-graph"]], "Making Dynamo Sound: Guards": [[2099, "making-dynamo-sound-guards"]], "Symbolic Shapes": [[2099, "symbolic-shapes"]], "Static by default": [[2099, "static-by-default"]], "0, 1 are always specialized": [[2099, "are-always-specialized"]], "Duck shaping": [[2099, "duck-shaping"]], "Guards on symbolic ints": [[2099, "guards-on-symbolic-ints"]], "Making Dynamo Complete: Graph Breaks": [[2099, "making-dynamo-complete-graph-breaks"]], "Conclusion": [[2099, "conclusion"]], "Footnotes": [[2099, "footnotes"]], "torch.compiler": [[2092, "torch-compiler"]], "Read More": [[2092, "read-more"], [56, "read-more"], [52, "read-more"]], "Getting Started for PyTorch Users": [[2092, null]], "Deep Dive for PyTorch Developers": [[2092, null], [52, null]], "HowTo for PyTorch Backend Vendors": [[2092, null]], "TorchDynamo APIs for fine-grained tracing": [[2103, "torchdynamo-apis-for-fine-grained-tracing"]], "TorchDynamo APIs to control fine-grained tracing": [[2103, "id1"]], "torch.compiler.disable": [[2103, "torch-compiler-disable"], [981, "torch-compiler-disable"]], "torch._dynamo.disallow_in_graph": [[2103, "torch-dynamo-disallow-in-graph"]], "torch.compiler.allow_in_graph": [[2103, "torch-compiler-allow-in-graph"], [977, "torch-compiler-allow-in-graph"]], "Limitations": [[2103, "limitations"], [2096, "limitations"], [2065, "limitations"]], "Dynamo Overview": [[2100, "dynamo-overview"]], "Dynamo Internals": [[2100, "dynamo-internals"]], "What is a guard?": [[2100, "what-is-a-guard"]], "What is Dynamo doing?": [[2100, "what-is-dynamo-doing"]], "How to inspect artifacts generated by Dynamo?": [[2100, "how-to-inspect-artifacts-generated-by-dynamo"]], "Writing Graph Transformations on ATen IR": [[2110, "writing-graph-transformations-on-aten-ir"]], "Passes": [[2110, "passes"]], "Transformer": [[2110, "transformer"], [1570, "transformer"]], "One-to-One Pass": [[2110, "one-to-one-pass"]], "One-to-X Pass": [[2110, "one-to-x-pass"]], "One-to-None Pass": [[2110, "one-to-none-pass"]], "Utilizing Local Information": [[2110, "utilizing-local-information"]], "Subgraph Rewriter": [[2110, "subgraph-rewriter"]], "Pass Manager": [[2110, "pass-manager"]], "Partitioner": [[2110, "partitioner"]], "Subgraph Matcher": [[2110, "subgraph-matcher"]], "Capability Based Partitioner": [[2110, "capability-based-partitioner"]], "TorchInductor GPU Profiling": [[2105, "torchinductor-gpu-profiling"]], "Relevant Environment Variables": [[2105, "relevant-environment-variables"]], "Breakdown Model GPU Time": [[2105, "breakdown-model-gpu-time"]], "Benchmark Individual Triton Kernel": [[2105, "benchmark-individual-triton-kernel"]], "PyTorch 2.0 Troubleshooting": [[2111, "pytorch-2-0-troubleshooting"]], "Title": [[2111, "id1"]], "Diagnosing Runtime Errors": [[2111, "diagnosing-runtime-errors"]], "Torchdynamo Errors": [[2111, "torchdynamo-errors"]], "Diagnosing TorchInductor Errors": [[2111, "diagnosing-torchinductor-errors"]], "Minifying TorchInductor Errors": [[2111, "minifying-torchinductor-errors"]], "Minifying Backend Compiler Errors": [[2111, "minifying-backend-compiler-errors"]], "Performance Profiling": [[2111, "performance-profiling"]], "Accessing TorchDynamo Profiler": [[2111, "accessing-torchdynamo-profiler"]], "TorchInductor Debugging using TORCH_COMPILE_DEBUG": [[2111, "torchinductor-debugging-using-torch-compile-debug"]], "Graph Breaks": [[2111, "graph-breaks"], [2102, "graph-breaks"], [52, "graph-breaks"]], "Identifying the Cause of a Graph Break": [[2111, "identifying-the-cause-of-a-graph-break"]], "Excessive Recompilation": [[2111, "excessive-recompilation"]], "Accuracy Debugging": [[2111, "accuracy-debugging"]], "Extended Debugging": [[2111, "extended-debugging"]], "Cold Start Timing and Cache Corruption Debugging": [[2111, "cold-start-timing-and-cache-corruption-debugging"]], "Frequently Asked Questions": [[2102, "frequently-asked-questions"], [2013, "frequently-asked-questions"], [7, "frequently-asked-questions"], [2070, "frequently-asked-questions"], [2065, "frequently-asked-questions"], [2050, "frequently-asked-questions"]], "Does torch.compile support training?": [[2102, "does-torch-compile-support-training"]], "Do you support Distributed code?": [[2102, "do-you-support-distributed-code"]], "Do I still need to export whole graphs?": [[2102, "do-i-still-need-to-export-whole-graphs"]], "Why is my code crashing?": [[2102, "why-is-my-code-crashing"]], "Why is compilation slow?": [[2102, "why-is-compilation-slow"]], "Why are you recompiling in production?": [[2102, "why-are-you-recompiling-in-production"]], "How are you speeding up my code?": [[2102, "how-are-you-speeding-up-my-code"]], "Why am I not seeing speedups?": [[2102, "why-am-i-not-seeing-speedups"]], "Identifying the cause of a graph break": [[2102, "identifying-the-cause-of-a-graph-break"]], "Why didn\u2019t my code recompile when I changed it?": [[2102, "why-didnt-my-code-recompile-when-i-changed-it"]], "Why am I getting incorrect results?": [[2102, "why-am-i-getting-incorrect-results"]], "Why am I getting OOMs?": [[2102, "why-am-i-getting-ooms"]], "Does torch.func work with torch.compile (for grad and vmap transforms)?": [[2102, "does-torch-func-work-with-torch-compile-for-grad-and-vmap-transforms"]], "Calling torch.func transform inside of a function handled with torch.compile": [[2102, "calling-torch-func-transform-inside-of-a-function-handled-with-torch-compile"]], "Compiling torch.func.grad with torch.compile": [[2102, "compiling-torch-func-grad-with-torch-compile"]], "Compiling torch.vmap with torch.compile": [[2102, "compiling-torch-vmap-with-torch-compile"]], "Compiling functions besides the ones which are supported (escape hatch)": [[2102, "compiling-functions-besides-the-ones-which-are-supported-escape-hatch"]], "Does NumPy work with torch.compile?": [[2102, "does-numpy-work-with-torch-compile"]], "Which NumPy features does torch.compile support?": [[2102, "which-numpy-features-does-torch-compile-support"]], "Can I compile NumPy code using torch.compile?": [[2102, "can-i-compile-numpy-code-using-torch-compile"]], "Can I execute NumPy code on CUDA and compute gradients via torch.compile?": [[2102, "can-i-execute-numpy-code-on-cuda-and-compute-gradients-via-torch-compile"]], "How do I debug NumPy code under torch.compile?": [[2102, "how-do-i-debug-numpy-code-under-torch-compile"]], "I torch.compile some NumPy code and I did not see any speed-up.": [[2102, "i-torch-compile-some-numpy-code-and-i-did-not-see-any-speed-up"]], "Which API to use for fine grain tracing?": [[2102, "which-api-to-use-for-fine-grain-tracing"]], "How do I graph break on a function?": [[2102, "how-do-i-graph-break-on-a-function"]], "What\u2019s the difference between torch._dynamo.disable and torch._dynamo.disallow_in_graph": [[2102, "what-s-the-difference-between-torch-dynamo-disable-and-torch-dynamo-disallow-in-graph"]], "What\u2019s the difference between torch._dynamo.disable and torch._dynamo_skip": [[2102, "what-s-the-difference-between-torch-dynamo-disable-and-torch-dynamo-skip"]], "Fake tensor": [[2101, "fake-tensor"]], "Related work": [[2101, "related-work"]], "API: the important bits": [[2101, "api-the-important-bits"]], "Details": [[2101, "details"]], "About the tensor subclass": [[2101, "about-the-tensor-subclass"]], "How is each individual operator implemented?": [[2101, "how-is-each-individual-operator-implemented"]], "How does the converter work?": [[2101, "how-does-the-converter-work"]], "Performance characteristics": [[2101, "performance-characteristics"]], "Fake tensor of fake tensor?": [[2101, "fake-tensor-of-fake-tensor"]], "Interaction with dynamic shapes": [[2101, "interaction-with-dynamic-shapes"]], "Other resources": [[2101, "other-resources"]], "PYTORCH ProcessGroupNCCL Environment Variables": [[2115, "pytorch-processgroupnccl-environment-variables"]], "CUDAGraph Trees": [[2096, "cudagraph-trees"]], "CUDAGraph Background": [[2096, "cudagraph-background"]], "PyTorch CUDAGraph Integration": [[2096, "pytorch-cudagraph-integration"]], "Make Graphed Callables": [[2096, "make-graphed-callables"]], "TorchDynamo Previous CUDA Graphs Integration": [[2096, "torchdynamo-previous-cuda-graphs-integration"]], "CUDAGraph Trees Integration": [[2096, "cudagraph-trees-integration"]], "Comparisons": [[2096, "comparisons"], [2016, "comparisons"]], "torch.compiler API reference": [[2094, "torch-compiler-api-reference"]], "Best Practices for Backends": [[2095, "best-practices-for-backends"]], "x86 CPU": [[2095, "x86-cpu"]], "Torch Environment Variables": [[2114, "torch-environment-variables"]], "torch.ao.ns._numeric_suite_fx": [[2091, "torch-ao-ns-numeric-suite-fx"]], "torch.ao.ns.fx.utils": [[2091, "torch-ao-ns-fx-utils"]], "Type Info": [[2116, "type-info"]], "torch.finfo": [[2116, "torch-finfo"]], "torch.iinfo": [[2116, "torch-iinfo"]], "torch.overrides": [[2112, "module-torch.overrides"]], "Functions": [[2112, "functions"], [2015, "functions"], [2013, "functions"], [2065, "functions"], [2081, "functions"]], "AOTInductor: Ahead-Of-Time Compilation for Torch.Export-ed Models": [[2093, "aotinductor-ahead-of-time-compilation-for-torch-export-ed-models"]], "Model Compilation": [[2093, "model-compilation"]], "Inference in C++": [[2093, "inference-in-c"]], "Getting Started": [[2104, "getting-started"], [7, "getting-started"]], "Using a pretrained model": [[2104, "using-a-pretrained-model"]], "Next Steps": [[2104, "next-steps"]], "torch.nn.modules.module.register_module_full_backward_hook": [[1711, "torch-nn-modules-module-register-module-full-backward-hook"]], "torch.nn.functional.tanhshrink": [[1696, "torch-nn-functional-tanhshrink"]], "torch.nn.functional.triplet_margin_loss": [[1700, "torch-nn-functional-triplet-margin-loss"]], "torch.nn.modules.module.register_module_parameter_registration_hook": [[1714, "torch-nn-modules-module-register-module-parameter-registration-hook"]], "torch.nn.utils.clip_grad_norm_": [[1721, "torch-nn-utils-clip-grad-norm"]], "torch.nn.functional.threshold": [[1697, "torch-nn-functional-threshold"]], "torch.nn.functional.sigmoid": [[1686, "torch-nn-functional-sigmoid"]], "torch.nn.utils.clip_grad_value_": [[1722, "torch-nn-utils-clip-grad-value"]], "torch.nn.functional.triplet_margin_with_distance_loss": [[1701, "torch-nn-functional-triplet-margin-with-distance-loss"]], "torch.nn.functional.unfold": [[1702, "torch-nn-functional-unfold"]], "torch.nn.functional.torch.nn.parallel.data_parallel": [[1699, "torch-nn-functional-torch-nn-parallel-data-parallel"]], "torch.nn.functional.softsign": [[1694, "torch-nn-functional-softsign"]], "RMSNorm": [[1715, "rmsnorm"], [1541, "rmsnorm"]], "torch.nn.functional.scaled_dot_product_attention": [[1684, "torch-nn-functional-scaled-dot-product-attention"]], "torch.nn.functional.upsample_nearest": [[1705, "torch-nn-functional-upsample-nearest"]], "torch.nn.modules.module.register_module_module_registration_hook": [[1713, "torch-nn-modules-module-register-module-module-registration-hook"]], "torch.nn.utils.parameters_to_vector": [[1729, "torch-nn-utils-parameters-to-vector"]], "torch.nn.utils.convert_conv2d_weight_memory_format": [[1723, "torch-nn-utils-convert-conv2d-weight-memory-format"]], "torch.nn.utils.parametrizations.orthogonal": [[1730, "torch-nn-utils-parametrizations-orthogonal"]], "torch.nn.utils.fuse_conv_bn_weights": [[1726, "torch-nn-utils-fuse-conv-bn-weights"]], "torch.nn.functional.softshrink": [[1693, "torch-nn-functional-softshrink"]], "LazyModuleMixin": [[1706, "lazymodulemixin"]], "torch.nn.functional.softplus": [[1692, "torch-nn-functional-softplus"]], "torch.nn.functional.threshold_": [[1698, "torch-nn-functional-threshold"]], "torch.nn.functional.silu": [[1687, "torch-nn-functional-silu"]], "torch.nn.modules.module.register_module_forward_hook": [[1709, "torch-nn-modules-module-register-module-forward-hook"]], "DistributedDataParallel": [[1716, "distributeddataparallel"], [2047, "distributeddataparallel"]], "torch.nn.utils.fuse_linear_bn_weights": [[1728, "torch-nn-utils-fuse-linear-bn-weights"]], "torch.nn.utils.parametrizations.weight_norm": [[1732, "torch-nn-utils-parametrizations-weight-norm"]], "torch.nn.functional.rrelu_": [[1683, "torch-nn-functional-rrelu"]], "torch.nn.functional.softmax": [[1690, "torch-nn-functional-softmax"]], "ParametrizationList": [[1733, "parametrizationlist"]], "UninitializedBuffer": [[1718, "uninitializedbuffer"]], "torch.nn.functional.upsample": [[1703, "torch-nn-functional-upsample"]], "torch.nn.utils.parametrizations.spectral_norm": [[1731, "torch-nn-utils-parametrizations-spectral-norm"]], "torch.nn.functional.tanh": [[1695, "torch-nn-functional-tanh"]], "torch.nn.modules.module.register_module_full_backward_pre_hook": [[1712, "torch-nn-modules-module-register-module-full-backward-pre-hook"]], "torch.nn.modules.module.register_module_buffer_registration_hook": [[1708, "torch-nn-modules-module-register-module-buffer-registration-hook"]], "torch.nn.modules.module.register_module_backward_hook": [[1707, "torch-nn-modules-module-register-module-backward-hook"]], "UninitializedParameter": [[1719, "uninitializedparameter"]], "torch.nn.functional.soft_margin_loss": [[1689, "torch-nn-functional-soft-margin-loss"]], "torch.nn.functional.softmin": [[1691, "torch-nn-functional-softmin"]], "torch.nn.utils.convert_conv3d_weight_memory_format": [[1724, "torch-nn-utils-convert-conv3d-weight-memory-format"]], "torch.nn.utils.fuse_linear_bn_eval": [[1727, "torch-nn-utils-fuse-linear-bn-eval"]], "torch.nn.functional.selu": [[1685, "torch-nn-functional-selu"]], "torch.nn.utils.fuse_conv_bn_eval": [[1725, "torch-nn-utils-fuse-conv-bn-eval"]], "Parameter": [[1717, "parameter"]], "torch.nn.functional.smooth_l1_loss": [[1688, "torch-nn-functional-smooth-l1-loss"]], "torch.nn.functional.upsample_bilinear": [[1704, "torch-nn-functional-upsample-bilinear"]], "torch.nn.modules.module.register_module_forward_pre_hook": [[1710, "torch-nn-modules-module-register-module-forward-pre-hook"]], "torch.nn.utils.clip_grad_norm": [[1720, "torch-nn-utils-clip-grad-norm"]], "torch.Tensor.absolute_": [[94, "torch-tensor-absolute"]], "torch.func Whirlwind Tour": [[61, "torch-func-whirlwind-tour"]], "What is torch.func?": [[61, "what-is-torch-func"]], "Why composable function transforms?": [[61, "why-composable-function-transforms"], [56, "why-composable-function-transforms"]], "What are the transforms?": [[61, "what-are-the-transforms"]], "grad() (gradient computation)": [[61, "grad-gradient-computation"]], "vmap() (auto-vectorization)": [[61, "vmap-auto-vectorization"]], "vjp() (vector-Jacobian product)": [[61, "vjp-vector-jacobian-product"]], "jvp() (Jacobian-vector product)": [[61, "jvp-jacobian-vector-product"]], "jacrev(), jacfwd(), and hessian()": [[61, "jacrev-jacfwd-and-hessian"]], "python.context-manager": [[70, "python-context-manager"]], "null_context_manager": [[70, "null-context-manager"], [66, "null-context-manager"]], "FXE0010:fx-pass": [[83, "fxe0010-fx-pass"]], "FXE0013:op-level-debugging": [[86, "fxe0013-op-level-debugging"]], "Train script": [[51, "train-script"]], "FXE0007:fx-graph-to-onnx": [[81, "fxe0007-fx-graph-to-onnx"]], "Key Representations:": [[81, "key-representations"]], "Additional Notes:": [[81, "additional-notes"]], "Generator": [[90, "generator"]], "torch.Tensor.acosh_": [[98, "torch-tensor-acosh"]], "torch.dynamic-shape": [[75, "torch-dynamic-shape"]], "cond_branch_class_method": [[75, "cond-branch-class-method"], [74, "cond-branch-class-method"], [66, "cond-branch-class-method"]], "cond_branch_nested_function": [[75, "cond-branch-nested-function"], [74, "cond-branch-nested-function"], [66, "cond-branch-nested-function"]], "cond_branch_nonlocal_variables": [[75, "cond-branch-nonlocal-variables"], [74, "cond-branch-nonlocal-variables"], [66, "cond-branch-nonlocal-variables"]], "cond_operands": [[75, "cond-operands"], [74, "cond-operands"], [66, "cond-operands"]], "cond_predicate": [[75, "cond-predicate"], [74, "cond-predicate"], [66, "cond-predicate"]], "dynamic_shape_constructor": [[75, "dynamic-shape-constructor"], [66, "dynamic-shape-constructor"]], "dynamic_shape_if_guard": [[75, "dynamic-shape-if-guard"], [66, "dynamic-shape-if-guard"], [71, "dynamic-shape-if-guard"]], "dynamic_shape_map": [[75, "dynamic-shape-map"], [66, "dynamic-shape-map"], [78, "dynamic-shape-map"]], "dynamic_shape_round": [[75, "dynamic-shape-round"], [66, "dynamic-shape-round"], [68, "dynamic-shape-round"]], "dynamic_shape_slicing": [[75, "dynamic-shape-slicing"], [66, "dynamic-shape-slicing"]], "dynamic_shape_view": [[75, "dynamic-shape-view"], [66, "dynamic-shape-view"]], "list_contains": [[75, "list-contains"], [72, "list-contains"], [66, "list-contains"], [67, "list-contains"]], "scalar_output": [[75, "scalar-output"], [66, "scalar-output"]], "Migrating from functorch to torch.func": [[59, "migrating-from-functorch-to-torch-func"]], "function transforms": [[59, "function-transforms"]], "NN module utilities": [[59, "nn-module-utilities"]], "functorch.make_functional": [[59, "functorch-make-functional"]], "functorch.combine_state_for_ensemble": [[59, "functorch-combine-state-for-ensemble"]], "functorch.compile": [[59, "functorch-compile"]], "FXE0008:fx-node-to-onnx": [[82, "fxe0008-fx-node-to-onnx"]], "FXE0016:find-operator-overloads-in-onnx-registry": [[89, "fxe0016-find-operator-overloads-in-onnx-registry"]], "torch.fx": [[64, "torch-fx"]], "Writing Transformations": [[64, "writing-transformations"]], "A Quick Primer on Graphs": [[64, 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torch.distributed": [[28, "distributed-communication-package-torch-distributed"]], "Backends": [[28, "backends"], [2075, "backends"]], "Backends that come with PyTorch": [[28, "backends-that-come-with-pytorch"]], "Which backend to use?": [[28, "which-backend-to-use"]], "Common environment variables": [[28, "common-environment-variables"]], "Choosing the network interface to use": [[28, "choosing-the-network-interface-to-use"]], "Other NCCL environment variables": [[28, "other-nccl-environment-variables"]], "Basics": [[28, "basics"], [2075, "basics"]], "Initialization": [[28, "initialization"]], "TCP initialization": [[28, "tcp-initialization"]], "Shared file-system initialization": [[28, "shared-file-system-initialization"]], "Environment variable initialization": [[28, "environment-variable-initialization"]], "Post-Initialization": [[28, "post-initialization"]], "Shutdown": [[28, "shutdown"]], "Reinitialization": [[28, "reinitialization"]], "Distributed Key-Value Store": [[28, "distributed-key-value-store"]], "Groups": [[28, "groups"]], "DeviceMesh": [[28, "devicemesh"]], "Point-to-point communication": [[28, "point-to-point-communication"]], "Synchronous and asynchronous collective operations": [[28, "synchronous-and-asynchronous-collective-operations"]], "Collective functions": [[28, "collective-functions"]], "Profiling Collective Communication": [[28, "profiling-collective-communication"]], "Multi-GPU collective functions": [[28, "multi-gpu-collective-functions"]], "Third-party backends": [[28, "third-party-backends"]], "Launch utility": [[28, "launch-utility"]], "Spawn utility": [[28, "spawn-utility"]], "Debugging torch.distributed applications": [[28, "debugging-torch-distributed-applications"]], "Python Breakpoint": [[28, "python-breakpoint"]], "Monitored Barrier": [[28, "monitored-barrier"]], "TORCH_DISTRIBUTED_DEBUG": [[28, "torch-distributed-debug"]], "Logging": [[28, "logging"]], "Expiration Timers": [[50, "module-torch.distributed.elastic.timer"]], "Client Methods": [[50, "client-methods"]], "Server/Client Implementations": [[50, "server-client-implementations"]], "Writing a custom timer server/client": [[50, "writing-a-custom-timer-server-client"]], "Debug info logging": [[50, "module-torch.distributed.elastic.timer.debug_info_logging"]], "Distributed Checkpoint - torch.distributed.checkpoint": [[30, "distributed-checkpoint-torch-distributed-checkpoint"]], "PyTorch Design Philosophy": [[8, "pytorch-design-philosophy"]], "Design Principles": [[8, "design-principles"]], "Principle 1: Usability over Performance": [[8, "principle-1-usability-over-performance"]], "Principle 2: Simple Over Easy": [[8, "principle-2-simple-over-easy"]], "Principle 3: Python First with Best In Class Language Interoperability": [[8, "principle-3-python-first-with-best-in-class-language-interoperability"]], "PyTorch Governance | Mechanics": [[9, "pytorch-governance-mechanics"]], "Summary": [[9, "summary"]], "Module Maintainers": [[9, "module-maintainers"]], "Nominating, Confirming and Removing Maintainers": [[9, "nominating-confirming-and-removing-maintainers"]], "The Principles": [[9, "the-principles"]], "The Process for Nomination": [[9, "the-process-for-nomination"]], "The Process for Removal": [[9, "the-process-for-removal"]], "Nominating Core Maintainers": [[9, "nominating-core-maintainers"]], "Removing the Lead Core Maintainer and Nominating a New Lead Core Maintainer": [[9, "removing-the-lead-core-maintainer-and-nominating-a-new-lead-core-maintainer"]], "Add, Remove, and Re-Scope Modules and Projects": [[9, "add-remove-and-re-scope-modules-and-projects"]], "Decision Making": [[9, "decision-making"]], "Uncontroversial Changes": [[9, "uncontroversial-changes"]], "Controversial Decision Process": [[9, "controversial-decision-process"]], "General Project Policies": [[9, "general-project-policies"]], "FAQ": [[9, "faq"]], "torch.utils.checkpoint": [[5, "torch-utils-checkpoint"]], "Control Plane": [[38, "module-torch.distributed.elastic.control_plane"]], "torch.cpu": [[16, "module-torch.cpu"]], "Complex Numbers": [[11, "complex-numbers"]], "Creating Complex Tensors": [[11, "creating-complex-tensors"]], "Transition from the old representation": [[11, "transition-from-the-old-representation"]], "Accessing real and imag": [[11, "accessing-real-and-imag"]], "Angle and abs": [[11, "angle-and-abs"]], "Linear Algebra": [[11, "linear-algebra"]], "Autograd": [[11, "autograd"]], "Optimizers": [[11, "optimizers"]], "Debugging Environment Variables": [[25, "debugging-environment-variables"]], "torch::deploy has been moved to pytorch/multipy": [[26, "torch-deploy-has-been-moved-to-pytorch-multipy"]], "CUDA Environment Variables": [[20, "cuda-environment-variables"]], "torch.utils.cpp_extension": [[14, "torch-utils-cpp-extension"]], "Customization": [[39, "customization"]], "Launcher": [[39, "launcher"]], "Rendezvous Handler": [[39, "rendezvous-handler"]], "Metric Handler": [[39, "metric-handler"]], "Events Handler": [[39, "events-handler"]], "Quantization": [[2070, "module-torch.ao.quantization"]], "Introduction to Quantization": [[2070, "introduction-to-quantization"]], "Quantization API Summary": [[2070, "quantization-api-summary"]], "Eager Mode Quantization": [[2070, "eager-mode-quantization"]], "Post Training Dynamic Quantization": [[2070, "post-training-dynamic-quantization"]], "Post Training Static Quantization": [[2070, "post-training-static-quantization"]], "Quantization Aware Training for Static Quantization": [[2070, "quantization-aware-training-for-static-quantization"]], "Model Preparation for Eager Mode Static Quantization": [[2070, "model-preparation-for-eager-mode-static-quantization"]], "(Prototype - maintenance mode) FX Graph Mode Quantization": [[2070, "prototype-maintenance-mode-fx-graph-mode-quantization"]], "(Prototype) PyTorch 2 Export Quantization": [[2070, "prototype-pytorch-2-export-quantization"]], "Quantization Stack": [[2070, "quantization-stack"]], "Quantized Model": [[2070, "quantized-model"]], "Quantized Tensor": [[2070, "quantized-tensor"]], "Quantize and Dequantize": [[2070, "quantize-and-dequantize"]], "Quantized Operators/Modules": [[2070, "quantized-operators-modules"]], "Quantized Engine": [[2070, "quantized-engine"]], "Quantization Flow": [[2070, "quantization-flow"]], "Observer and FakeQuantize": [[2070, "observer-and-fakequantize"]], "QConfig": [[2070, "qconfig"], [844, "qconfig"]], "General Quantization Flow": [[2070, "general-quantization-flow"]], "Quantization Support Matrix": [[2070, "quantization-support-matrix"]], "Quantization Mode Support": [[2070, "quantization-mode-support"]], "Quantization Flow Support": [[2070, "quantization-flow-support"]], "Backend/Hardware Support": [[2070, "backend-hardware-support"]], "Note for native CPU backends": [[2070, "note-for-native-cpu-backends"]], "Operator Support": [[2070, "operator-support"]], "Quantization API Reference": [[2070, "quantization-api-reference"], [2073, "quantization-api-reference"]], "Quantization Backend Configuration": [[2070, "quantization-backend-configuration"], [2072, "quantization-backend-configuration"]], "Quantization Accuracy Debugging": [[2070, "quantization-accuracy-debugging"], [2071, "quantization-accuracy-debugging"]], "Quantization Customizations": [[2070, "quantization-customizations"]], "Quantization Custom Module API": [[2070, "quantization-custom-module-api"]], "Best Practices": [[2070, "best-practices"]], "Common Errors": [[2070, "common-errors"]], "Passing a non-quantized Tensor into a quantized kernel": [[2070, "passing-a-non-quantized-tensor-into-a-quantized-kernel"]], "Passing a quantized Tensor into a non-quantized kernel": [[2070, "passing-a-quantized-tensor-into-a-non-quantized-kernel"]], "Saving and Loading Quantized models": [[2070, "saving-and-loading-quantized-models"]], "Symbolic Trace Error when using FX Graph Mode Quantization": [[2070, "symbolic-trace-error-when-using-fx-graph-mode-quantization"]], "Data insensitive error": [[2071, "data-insensitive-error"]], "General tips": [[2071, "general-tips"]], "Int8 quantization tips": [[2071, "int8-quantization-tips"]], "Data sensitive error": [[2071, "data-sensitive-error"]], "Implementation error": [[2071, "implementation-error"]], "Numerical Debugging Tooling (prototype)": [[2071, "numerical-debugging-tooling-prototype"]], "Autograd mechanics": [[2042, "autograd-mechanics"]], "How autograd encodes the history": [[2042, "how-autograd-encodes-the-history"]], "Saved tensors": [[2042, "saved-tensors"]], "Gradients for non-differentiable functions": [[2042, "gradients-for-non-differentiable-functions"]], "Setting requires_grad": [[2042, "setting-requires-grad"]], "Grad Modes": [[2042, "grad-modes"]], "Default Mode (Grad Mode)": [[2042, "default-mode-grad-mode"]], "No-grad Mode": [[2042, "no-grad-mode"]], "Inference Mode": [[2042, "inference-mode"]], "Evaluation Mode (nn.Module.eval())": [[2042, "evaluation-mode-nn-module-eval"]], "In-place operations with autograd": [[2042, "in-place-operations-with-autograd"]], "Multithreaded Autograd": [[2042, "multithreaded-autograd"]], "Concurrency on CPU": [[2042, "concurrency-on-cpu"]], "Non-determinism": [[2042, "non-determinism"]], "Graph retaining": [[2042, "graph-retaining"]], "Thread Safety on Autograd Node": [[2042, "thread-safety-on-autograd-node"]], "No thread safety on C++ hooks": [[2042, "no-thread-safety-on-c-hooks"]], "Autograd for Complex Numbers": [[2042, "autograd-for-complex-numbers"]], "What are complex derivatives?": [[2042, "what-are-complex-derivatives"]], "Wirtinger Calculus comes into the picture \u2026": [[2042, "wirtinger-calculus-comes-into-the-picture"]], "How is Wirtinger Calculus useful in optimization?": [[2042, "how-is-wirtinger-calculus-useful-in-optimization"]], "How does PyTorch compute the conjugate Wirtinger derivative?": [[2042, "how-does-pytorch-compute-the-conjugate-wirtinger-derivative"]], "How can I write my own derivative formula for a complex function?": [[2042, "how-can-i-write-my-own-derivative-formula-for-a-complex-function"]], "What about cross-domain functions?": [[2042, "what-about-cross-domain-functions"]], "Hooks for saved tensors": [[2042, "hooks-for-saved-tensors"]], "Registering hooks for a saved tensor": [[2042, "registering-hooks-for-a-saved-tensor"]], "Registering default hooks for saved tensors": [[2042, "registering-default-hooks-for-saved-tensors"]], "Backward Hooks execution": [[2042, "backward-hooks-execution"]], "Whether a particular hook will be fired": [[2042, "whether-a-particular-hook-will-be-fired"]], "The order in which the different hooks are fired": [[2042, "the-order-in-which-the-different-hooks-are-fired"]], "Special hooks": [[2042, "special-hooks"]], "Behavior of Tensor hooks when Tensor is modified in-place": [[2042, "behavior-of-tensor-hooks-when-tensor-is-modified-in-place"]], "Broadcasting semantics": [[2043, "broadcasting-semantics"]], "General semantics": [[2043, "general-semantics"]], "In-place semantics": [[2043, "in-place-semantics"]], "Backwards compatibility": [[2043, "backwards-compatibility"]], "CUDA Automatic Mixed Precision examples": [[2041, "cuda-automatic-mixed-precision-examples"]], "Typical Mixed Precision Training": [[2041, "typical-mixed-precision-training"]], "Working with Unscaled Gradients": [[2041, "working-with-unscaled-gradients"]], "Gradient clipping": [[2041, "gradient-clipping"]], "Working with Scaled Gradients": [[2041, "working-with-scaled-gradients"]], "Gradient accumulation": [[2041, "gradient-accumulation"]], "Gradient penalty": [[2041, "gradient-penalty"]], "Working with Multiple Models, Losses, and Optimizers": [[2041, "working-with-multiple-models-losses-and-optimizers"]], "Working with Multiple GPUs": [[2041, "working-with-multiple-gpus"]], "DataParallel in a single process": [[2041, "dataparallel-in-a-single-process"]], "DistributedDataParallel, one GPU per process": [[2041, "distributeddataparallel-one-gpu-per-process"]], "DistributedDataParallel, multiple GPUs per process": [[2041, "distributeddataparallel-multiple-gpus-per-process"]], "Autocast and Custom Autograd Functions": [[2041, "autocast-and-custom-autograd-functions"]], "Functions with multiple inputs or autocastable ops": [[2041, "functions-with-multiple-inputs-or-autocastable-ops"]], "Functions that need a particular dtype": [[2041, "functions-that-need-a-particular-dtype"]], "ONNX Backend for TorchDynamo": [[2064, "onnx-backend-for-torchdynamo"]], "torch.profiler": [[2069, "torch-profiler"]], "Intel Instrumentation and Tracing Technology APIs": [[2069, "intel-instrumentation-and-tracing-technology-apis"]], "Remote Reference Protocol": [[2077, "remote-reference-protocol"]], "Background": [[2077, "background"], [2076, "background"]], "RRef Lifetime": [[2077, "rref-lifetime"]], "Design Reasoning": [[2077, "design-reasoning"]], "Implementation": [[2077, "implementation"], [2047, "implementation"]], "Protocol Scenarios": [[2077, "protocol-scenarios"]], "User Share RRef with Owner as Return Value": [[2077, "user-share-rref-with-owner-as-return-value"]], "User Share RRef with Owner as Argument": [[2077, "user-share-rref-with-owner-as-argument"]], "Owner Share RRef with User": [[2077, "owner-share-rref-with-user"]], "User Share RRef with User": [[2077, "user-share-rref-with-user"]], "torch.utils.tensorboard": [[2085, "module-torch.utils.tensorboard"]], "torch.Tensor": [[2086, "torch-tensor"]], "Data types": [[2086, "data-types"]], "Initializing and basic operations": [[2086, "initializing-and-basic-operations"]], "Tensor class reference": [[2086, "tensor-class-reference"]], "Numerical accuracy": [[2058, "numerical-accuracy"]], "Batched computations or slice computations": [[2058, "batched-computations-or-slice-computations"]], "Extremal values": [[2058, "extremal-values"]], "Linear algebra (torch.linalg)": [[2058, "linear-algebra-torch-linalg"]], "Non-finite values": [[2058, "non-finite-values"]], "Extremal values in linalg": [[2058, "extremal-values-in-linalg"]], "TensorFloat-32(TF32) on Nvidia Ampere (and later) devices": [[2058, "tensorfloat-32-tf32-on-nvidia-ampere-and-later-devices"]], "Reduced Precision Reduction for FP16 and BF16 GEMMs": [[2058, "reduced-precision-reduction-for-fp16-and-bf16-gemms"]], "Reduced Precision FP16 and BF16 GEMMs and Convolutions on AMD Instinct MI200 devices": [[2058, "reduced-precision-fp16-and-bf16-gemms-and-convolutions-on-amd-instinct-mi200-devices"]], "TorchScript-based ONNX Exporter": [[2065, "torchscript-based-onnx-exporter"], [2062, "torchscript-based-onnx-exporter"]], "Example: AlexNet from PyTorch to ONNX": [[2065, "example-alexnet-from-pytorch-to-onnx"]], "Tracing vs Scripting": [[2065, "tracing-vs-scripting"]], "Avoiding Pitfalls": [[2065, "avoiding-pitfalls"]], "Avoid NumPy and built-in Python types": [[2065, "avoid-numpy-and-built-in-python-types"]], "Avoid Tensor.data": [[2065, "avoid-tensor-data"]], "Avoid in-place operations when using tensor.shape in tracing mode": [[2065, "avoid-in-place-operations-when-using-tensor-shape-in-tracing-mode"]], "Differences in Operator Implementations": [[2065, "differences-in-operator-implementations"]], "Unsupported Tensor Indexing Patterns": [[2065, "unsupported-tensor-indexing-patterns"]], "Reads / Gets": [[2065, "reads-gets"]], "Writes / Sets": [[2065, "writes-sets"]], "Adding support for operators": [[2065, "adding-support-for-operators"]], "ONNX exporter internals": [[2065, "onnx-exporter-internals"]], "ATen operators": [[2065, "aten-operators"]], "List of supported operators": [[2065, "list-of-supported-operators"]], "Adding support for an aten or quantized operator": [[2065, "adding-support-for-an-aten-or-quantized-operator"]], "torch.autograd.Functions": [[2065, "torch-autograd-functions"]], "Static Symbolic Method": [[2065, "static-symbolic-method"]], "Inline Autograd Function": [[2065, "inline-autograd-function"]], "Custom operators": [[2065, "custom-operators"]], "ONNX-script functions": [[2065, "onnx-script-functions"]], "C++ Operators": [[2065, "c-operators"]], "Discovering all unconvertible ATen ops at once": [[2065, "discovering-all-unconvertible-aten-ops-at-once"]], "Classes": [[2065, "classes"]], "Tensor Attributes": [[2083, "tensor-attributes"]], "torch.dtype": [[2083, "torch-dtype"]], "torch.device": [[2083, "torch-device"]], "torch.layout": [[2083, "torch-layout"]], "torch.memory_format": [[2083, "torch-memory-format"]], "CUDA semantics": [[2045, "cuda-semantics"]], "TensorFloat-32 (TF32) on Ampere (and later) devices": [[2045, "tensorfloat-32-tf32-on-ampere-and-later-devices"]], "Reduced Precision Reduction in FP16 GEMMs": [[2045, "reduced-precision-reduction-in-fp16-gemms"]], "Reduced Precision Reduction in BF16 GEMMs": [[2045, "reduced-precision-reduction-in-bf16-gemms"]], "Asynchronous execution": [[2045, "asynchronous-execution"]], "CUDA streams": [[2045, "cuda-streams"]], "Stream semantics of backward passes": [[2045, "stream-semantics-of-backward-passes"]], "BC note: Using grads on the default stream": [[2045, "bc-note-using-grads-on-the-default-stream"]], "Optimizing memory usage with PYTORCH_CUDA_ALLOC_CONF": [[2045, "optimizing-memory-usage-with-pytorch-cuda-alloc-conf"]], "Using custom memory allocators for CUDA": [[2045, "using-custom-memory-allocators-for-cuda"]], "cuBLAS workspaces": [[2045, "cublas-workspaces"]], "cuFFT plan cache": [[2045, "cufft-plan-cache"]], "Just-in-Time Compilation": [[2045, "just-in-time-compilation"]], "Best practices": [[2045, "best-practices"]], "Device-agnostic code": [[2045, "device-agnostic-code"]], "Use pinned memory buffers": [[2045, "use-pinned-memory-buffers"]], "Use nn.parallel.DistributedDataParallel instead of multiprocessing or nn.DataParallel": [[2045, "use-nn-parallel-distributeddataparallel-instead-of-multiprocessing-or-nn-dataparallel"]], "CUDA Graphs": [[2045, "cuda-graphs"]], "Why CUDA Graphs?": [[2045, "why-cuda-graphs"]], "PyTorch API": [[2045, "pytorch-api"]], "Non-constraints": [[2045, "non-constraints"]], "Whole-network capture": [[2045, "whole-network-capture"]], "Partial-network capture": [[2045, "partial-network-capture"]], "Usage with torch.cuda.amp": [[2045, "usage-with-torch-cuda-amp"]], "Usage with multiple streams": [[2045, "usage-with-multiple-streams"]], "Usage with DistributedDataParallel": [[2045, "usage-with-distributeddataparallel"]], "NCCL < 2.9.6": [[2045, "nccl-2-9-6"]], "NCCL >= 2.9.6": [[2045, "id5"]], "Graph memory management": [[2045, "graph-memory-management"]], "Sharing memory across captures": [[2045, "sharing-memory-across-captures"]], "Distributed RPC Framework": [[2075, "distributed-rpc-framework"]], "RPC": [[2075, "rpc"]], "TensorPipe Backend": [[2075, "tensorpipe-backend"]], "RRef": [[2075, "rref"]], "More Information about RRef": [[2075, null]], "RemoteModule": [[2075, "remotemodule"]], "Distributed Autograd Framework": [[2075, "distributed-autograd-framework"]], "More Information about RPC Autograd": [[2075, null]], "Distributed Optimizer": [[2075, "distributed-optimizer"], [2076, "distributed-optimizer"]], "torch.sparse": [[2080, "torch-sparse"]], "Why and when to use sparsity": [[2080, "why-and-when-to-use-sparsity"]], "Functionality overview": [[2080, "functionality-overview"]], "Operator overview": [[2080, "operator-overview"]], "Sparse Semi-Structured Tensors": [[2080, "sparse-semi-structured-tensors"]], "Constructing Sparse Semi-Structured Tensors": [[2080, "constructing-sparse-semi-structured-tensors"]], "Sparse Semi-Structured Tensor Operations": [[2080, "sparse-semi-structured-tensor-operations"]], "Accelerating nn.Linear with semi-structured sparsity": [[2080, "accelerating-nn-linear-with-semi-structured-sparsity"]], "Sparse COO tensors": [[2080, "sparse-coo-tensors"]], "Sparse hybrid COO tensors": [[2080, "sparse-hybrid-coo-tensors"]], "Uncoalesced sparse COO tensors": [[2080, "uncoalesced-sparse-coo-tensors"]], "Working with sparse COO tensors": [[2080, "working-with-sparse-coo-tensors"]], "Sparse Compressed Tensors": [[2080, "sparse-compressed-tensors"]], "Sparse CSR Tensor": [[2080, "sparse-csr-tensor"]], "Construction of CSR tensors": [[2080, "construction-of-csr-tensors"]], "CSR Tensor Operations": [[2080, "csr-tensor-operations"]], "Sparse CSC Tensor": [[2080, "sparse-csc-tensor"]], "Construction of CSC tensors": [[2080, "construction-of-csc-tensors"]], "Sparse BSR Tensor": [[2080, "sparse-bsr-tensor"]], "Construction of BSR tensors": [[2080, "construction-of-bsr-tensors"]], "Sparse BSC Tensor": [[2080, "sparse-bsc-tensor"]], "Construction of BSC tensors": [[2080, "construction-of-bsc-tensors"]], "Tools for working with sparse compressed tensors": [[2080, "tools-for-working-with-sparse-compressed-tensors"]], "Construction of sparse compressed tensors": [[2080, "construction-of-sparse-compressed-tensors"]], "Linear Algebra operations": [[2080, "linear-algebra-operations"]], "Tensor methods and sparse": [[2080, "tensor-methods-and-sparse"]], "Torch functions specific to sparse Tensors": [[2080, "torch-functions-specific-to-sparse-tensors"]], "Other functions": [[2080, "other-functions"]], "Unary functions": [[2080, "unary-functions"]], "torch.package": [[2068, "torch-package"]], "Packaging your first model": [[2068, "packaging-your-first-model"]], "How do I\u2026": [[2068, "how-do-i"]], "See what is inside a package?": [[2068, "see-what-is-inside-a-package"]], "Treat the package like a ZIP archive": [[2068, "treat-the-package-like-a-zip-archive"]], "Use the file_structure() API": [[2068, "use-the-file-structure-api"]], "See why a given module was included as a dependency?": [[2068, "see-why-a-given-module-was-included-as-a-dependency"]], "Include arbitrary resources with my package and access them later?": [[2068, "include-arbitrary-resources-with-my-package-and-access-them-later"]], "Customize how a class is packaged?": [[2068, "customize-how-a-class-is-packaged"]], "Test in my source code whether or not it is executing inside a package?": [[2068, "test-in-my-source-code-whether-or-not-it-is-executing-inside-a-package"]], "Patch code into a package?": [[2068, "patch-code-into-a-package"]], "Access package contents from packaged code?": [[2068, "access-package-contents-from-packaged-code"]], "Distinguish between packaged code and non-packaged code?": [[2068, "distinguish-between-packaged-code-and-non-packaged-code"]], "Re-export an imported object?": [[2068, "re-export-an-imported-object"]], "Package a TorchScript module?": [[2068, "package-a-torchscript-module"]], "Explanation": [[2068, "explanation"]], "torch.package Format Overview": [[2068, "torch-package-format-overview"]], "Framework files": [[2068, "framework-files"]], "User files": [[2068, "user-files"]], "How torch.package finds your code\u2019s dependencies": [[2068, "how-torch-package-finds-your-code-s-dependencies"]], "Analyzing an object\u2019s dependencies": [[2068, "analyzing-an-object-s-dependencies"]], "Analyzing a module\u2019s dependencies": [[2068, "analyzing-a-module-s-dependencies"]], "Dependency Management": [[2068, "dependency-management"]], "intern": [[2068, "intern"]], "extern": [[2068, "extern"]], "mock": [[2068, "mock"]], "Refactoring": [[2068, "refactoring"]], "Patterns": [[2068, "patterns"]], "torch.package sharp edges": [[2068, "torch-package-sharp-edges"]], "Avoid global state in your modules": [[2068, "avoid-global-state-in-your-modules"]], "Types are not shared between packages and the loading environment": [[2068, "types-are-not-shared-between-packages-and-the-loading-environment"]], "How torch.package keeps packages isolated from each other": [[2068, "how-torch-package-keeps-packages-isolated-from-each-other"]], "Mangling": [[2068, "mangling"]], "MPS backend": [[2056, "mps-backend"]], "ONNX supported TorchScript operators": [[2066, "onnx-supported-torchscript-operators"]], "Supported operators": [[2066, "supported-operators"]], "ONNX support for TorchScript operators": [[2066, "id1"]], "Unsupported operators": [[2066, "unsupported-operators"], [2066, "id2"]], "Gradcheck mechanics": [[2052, "gradcheck-mechanics"]], "Notations and background information": [[2052, "notations-and-background-information"]], "Default backward mode gradcheck behavior": [[2052, "default-backward-mode-gradcheck-behavior"]], "Real-to-real functions": [[2052, "real-to-real-functions"]], "Default real input numerical evaluation": [[2052, "default-real-input-numerical-evaluation"]], "Default real input analytical evaluation": [[2052, "default-real-input-analytical-evaluation"]], "Complex-to-real functions": [[2052, "complex-to-real-functions"]], "Default complex input numerical evaluation": [[2052, "default-complex-input-numerical-evaluation"]], "Default complex input analytical evaluation": [[2052, "default-complex-input-analytical-evaluation"]], "Functions with complex outputs": [[2052, "functions-with-complex-outputs"]], "Fast backward mode gradcheck": [[2052, "fast-backward-mode-gradcheck"]], "Fast gradcheck for real-to-real functions": [[2052, "fast-gradcheck-for-real-to-real-functions"]], "Fast gradcheck for complex-to-real functions": [[2052, "fast-gradcheck-for-complex-to-real-functions"]], "Fast complex input numerical evaluation": [[2052, "fast-complex-input-numerical-evaluation"]], "Fast complex input analytical evaluation": [[2052, "fast-complex-input-analytical-evaluation"]], "Why not use a complex u": [[2052, "why-not-use-a-complex-u"]], "Fast gradcheck for functions with complex outputs": [[2052, "fast-gradcheck-for-functions-with-complex-outputs"]], "Gradgradcheck implementation": [[2052, "gradgradcheck-implementation"]], "Extending PyTorch": [[2048, "extending-pytorch"]], "Adding new operators": [[2048, "adding-new-operators"]], "Extending torch.autograd": [[2048, "extending-torch-autograd"]], "When to use": [[2048, "when-to-use"]], "When not to use": [[2048, "when-not-to-use"]], "How to use": [[2048, "how-to-use"]], "Example": [[2048, "example"], [2047, "example"]], "Combined or separate forward() and setup_context()": [[2048, "combined-or-separate-forward-and-setup-context"]], "Forward mode AD": [[2048, "forward-mode-ad"]], "torch.func transforms and/or torch.vmap()": [[2048, "torch-func-transforms-and-or-torch-vmap"]], "Extending torch.nn": [[2048, "extending-torch-nn"]], "Adding a Module": [[2048, "adding-a-module"]], "Extending torch Python API": [[2048, "extending-torch-python-api"]], "Extending torch with a Tensor-like type": [[2048, "extending-torch-with-a-tensor-like-type"]], "Subclassing torch.Tensor": [[2048, "subclassing-torch-tensor"]], "Extending torch with a Tensor wrapper type": [[2048, "extending-torch-with-a-tensor-wrapper-type"]], "Operations on multiple types that define __torch_function__": [[2048, "operations-on-multiple-types-that-define-torch-function"]], "Testing Coverage of Overrides for the PyTorch API": [[2048, "testing-coverage-of-overrides-for-the-pytorch-api"]], "Extending torch native API": [[2048, "extending-torch-native-api"]], "Extending all torch API with Modes": [[2048, "extending-all-torch-api-with-modes"]], "CPU threading and TorchScript inference": [[2044, "cpu-threading-and-torchscript-inference"]], "Build options": [[2044, "build-options"]], "Runtime API": [[2044, "runtime-api"]], "Tuning the number of threads": [[2044, "tuning-the-number-of-threads"]], "Distributed Data Parallel": [[2047, "distributed-data-parallel"]], "Internal Design": [[2047, "internal-design"]], "ProcessGroup": [[2047, "processgroup"]], "TorchDynamo DDPOptimizer": [[2047, "id1"]], "torch.Size": [[2079, "torch-size"]], "torch.nn.init": [[2040, "torch-nn-init"]], "Tensor Views": [[2084, "tensor-views"]], "My model reports \u201ccuda runtime error(2): out of memory\u201d": [[2050, "my-model-reports-cuda-runtime-error-2-out-of-memory"]], "My GPU memory isn\u2019t freed properly": [[2050, "my-gpu-memory-isn-t-freed-properly"]], "My out of memory exception handler can\u2019t allocate memory": [[2050, "my-out-of-memory-exception-handler-can-t-allocate-memory"]], "My data loader workers return identical random numbers": [[2050, "my-data-loader-workers-return-identical-random-numbers"]], "My recurrent network doesn\u2019t work with data parallelism": [[2050, "my-recurrent-network-doesn-t-work-with-data-parallelism"]], "Multiprocessing best practices": [[2057, "multiprocessing-best-practices"]], "CUDA in multiprocessing": [[2057, "cuda-in-multiprocessing"]], "Best practices and tips": [[2057, "best-practices-and-tips"]], "Avoiding and fighting deadlocks": [[2057, "avoiding-and-fighting-deadlocks"]], "Reuse buffers passed through a Queue": [[2057, "reuse-buffers-passed-through-a-queue"]], "Asynchronous multiprocess training (e.g. Hogwild)": [[2057, "asynchronous-multiprocess-training-e-g-hogwild"]], "Hogwild": [[2057, "hogwild"]], "CPU in multiprocessing": [[2057, "cpu-in-multiprocessing"]], "CPU oversubscription": [[2057, "cpu-oversubscription"]], "Avoid CPU oversubscription": [[2057, "avoid-cpu-oversubscription"]], "torch.random": [[2074, "module-torch.random"]], "Distributed Autograd Design": [[2076, "distributed-autograd-design"]], "Autograd recording during the forward pass": [[2076, "autograd-recording-during-the-forward-pass"]], "Distributed Autograd Context": [[2076, "distributed-autograd-context"]], "Distributed Backward Pass": [[2076, "distributed-backward-pass"]], "Computing dependencies": [[2076, "computing-dependencies"]], "FAST mode algorithm": [[2076, "fast-mode-algorithm"]], "SMART mode algorithm": [[2076, "smart-mode-algorithm"]], "Simple end to end example": [[2076, "simple-end-to-end-example"]], "Threading Environment Variables": [[2088, "threading-environment-variables"]], "Windows FAQ": [[2061, "windows-faq"]], "Building from source": [[2061, "building-from-source"]], "Include optional components": [[2061, "include-optional-components"]], "Speeding CUDA build for Windows": [[2061, "speeding-cuda-build-for-windows"]], "One key install script": [[2061, "one-key-install-script"]], "Extension": [[2061, "extension"]], "CFFI Extension": [[2061, "cffi-extension"]], "Cpp Extension": [[2061, "cpp-extension"]], "Installation": [[2061, "installation"]], "Package not found in win-32 channel.": [[2061, "package-not-found-in-win-32-channel"]], "Import error": [[2061, "import-error"]], "Usage (multiprocessing)": [[2061, "usage-multiprocessing"]], "Multiprocessing error without if-clause protection": [[2061, "multiprocessing-error-without-if-clause-protection"]], "Multiprocessing error \u201cBroken pipe\u201d": [[2061, "multiprocessing-error-broken-pipe"]], "Multiprocessing error \u201cdriver shut down\u201d": [[2061, "multiprocessing-error-driver-shut-down"]], "CUDA IPC operations": [[2061, "cuda-ipc-operations"]], "FSDP Notes": [[2051, "fsdp-notes"]], "FSDP Prefetch Nuances": [[2051, "fsdp-prefetch-nuances"]], "Communication payload size": [[2051, "communication-payload-size"]], "FSDP buffers sizes": [[2051, "fsdp-buffers-sizes"]], "HIP (ROCm) semantics": [[2053, "hip-rocm-semantics"]], "HIP Interfaces Reuse the CUDA Interfaces": [[2053, "hip-interfaces-reuse-the-cuda-interfaces"]], "Checking for HIP": [[2053, "checking-for-hip"]], "TensorFloat-32(TF32) on ROCm": [[2053, "tensorfloat-32-tf32-on-rocm"]], "hipFFT/rocFFT plan cache": [[2053, "hipfft-rocfft-plan-cache"]], "torch.distributed backends": [[2053, "torch-distributed-backends"]], "CUDA API to HIP API mappings in C++": [[2053, "cuda-api-to-hip-api-mappings-in-c"]], "Refer to CUDA Semantics doc": [[2053, "refer-to-cuda-semantics-doc"]], "Enabling kernel asserts": [[2053, "enabling-kernel-asserts"]], "Default values for native configurations": [[2072, "default-values-for-native-configurations"]], "torch.Storage": [[2082, "torch-storage"]], "torch.ao.quantization": [[2073, "torch-ao-quantization"]], "Top level APIs": [[2073, "top-level-apis"]], "Preparing model for quantization": [[2073, "preparing-model-for-quantization"]], "Utility functions": [[2073, "utility-functions"], [2060, "utility-functions"]], "torch.ao.quantization.quantize_fx": [[2073, "torch-ao-quantization-quantize-fx"]], "torch.ao.quantization.qconfig_mapping": [[2073, "torch-ao-quantization-qconfig-mapping"]], "torch.ao.quantization.backend_config": [[2073, "torch-ao-quantization-backend-config"]], "torch.ao.quantization.fx.custom_config": [[2073, "torch-ao-quantization-fx-custom-config"]], "torch.ao.quantization.quantizer": [[2073, "module-torch.ao.quantization.quantizer"]], "torch.ao.quantization.pt2e (quantization in pytorch 2.0 export implementation)": [[2073, "module-torch.ao.quantization.pt2e"]], "torch.ao.quantization.pt2e.export_utils": [[2073, "torch-ao-quantization-pt2e-export-utils"]], "torch (quantization related functions)": [[2073, "torch-quantization-related-functions"]], "torch.Tensor (quantization related methods)": [[2073, "torch-tensor-quantization-related-methods"]], "torch.ao.quantization.observer": [[2073, "torch-ao-quantization-observer"]], "torch.ao.quantization.fake_quantize": [[2073, "torch-ao-quantization-fake-quantize"]], "torch.ao.quantization.qconfig": [[2073, "torch-ao-quantization-qconfig"]], "torch.ao.nn.intrinsic": [[2073, "module-torch.ao.nn.intrinsic"]], "torch.ao.nn.intrinsic.qat": [[2073, "module-torch.ao.nn.intrinsic.qat"]], "torch.ao.nn.intrinsic.quantized": [[2073, "module-torch.ao.nn.intrinsic.quantized"]], "torch.ao.nn.intrinsic.quantized.dynamic": [[2073, "module-torch.ao.nn.intrinsic.quantized.dynamic"]], "torch.ao.nn.qat": [[2073, "module-torch.ao.nn.qat"]], "torch.ao.nn.qat.dynamic": [[2073, "module-torch.ao.nn.qat.dynamic"]], "torch.ao.nn.quantized": [[2073, "module-torch.ao.nn.quantized.modules"]], "torch.ao.nn.quantized.functional": [[2073, "module-torch.ao.nn.quantized.functional"]], "torch.ao.nn.quantizable": [[2073, "torch-ao-nn-quantizable"]], "torch.ao.nn.quantized.dynamic": [[2073, "module-torch.ao.nn.quantized.dynamic"]], "Quantized dtypes and quantization schemes": [[2073, "quantized-dtypes-and-quantization-schemes"]], "PyTorch Custom Operators Landing Page": [[2046, "pytorch-custom-operators-landing-page"]], "TL;DR": [[2046, "tl-dr"]], "How do I author a custom op from Python?": [[2046, "how-do-i-author-a-custom-op-from-python"]], "How do I integrate custom C++ and/or CUDA code with PyTorch?": [[2046, "how-do-i-integrate-custom-c-and-or-cuda-code-with-pytorch"]], "For more details": [[2046, "for-more-details"]], "When should I create a Custom Operator?": [[2046, "when-should-i-create-a-custom-operator"]], "Why should I create a Custom Operator?": [[2046, "why-should-i-create-a-custom-operator"]], "Features for large-scale deployments": [[2054, "features-for-large-scale-deployments"]], "Fleet-wide operator profiling": [[2054, "fleet-wide-operator-profiling"]], "API usage logging": [[2054, "api-usage-logging"]], "Attaching metadata to saved TorchScript models": [[2054, "attaching-metadata-to-saved-torchscript-models"]], "Build environment considerations": [[2054, "build-environment-considerations"]], "Common extension points": [[2054, "common-extension-points"]], "Reproducibility": [[2059, "reproducibility"]], "Controlling sources of randomness": [[2059, "controlling-sources-of-randomness"]], "PyTorch random number generator": [[2059, "pytorch-random-number-generator"]], "Python": [[2059, "python"]], "Random number generators in other libraries": [[2059, "random-number-generators-in-other-libraries"]], "CUDA convolution benchmarking": [[2059, "cuda-convolution-benchmarking"]], "Avoiding nondeterministic algorithms": [[2059, "avoiding-nondeterministic-algorithms"]], "CUDA convolution determinism": [[2059, "cuda-convolution-determinism"]], "CUDA RNN and LSTM": [[2059, "cuda-rnn-and-lstm"]], "Filling uninitialized memory": [[2059, "filling-uninitialized-memory"]], "DataLoader": [[2059, "dataloader"]], "TorchDynamo-based ONNX Exporter": [[2063, "torchdynamo-based-onnx-exporter"], [2062, "torchdynamo-based-onnx-exporter"]], "Dependencies": [[2063, "dependencies"]], "A simple example": [[2063, "a-simple-example"]], "Inspecting the ONNX model using GUI": [[2063, "inspecting-the-onnx-model-using-gui"]], "Diagnosing issues with SARIF": [[2063, "diagnosing-issues-with-sarif"]], "ONNX Diagnostic SARIF Rules": [[2063, null]], "torch.optim": [[2067, "module-torch.optim"]], "How to use an optimizer": [[2067, "how-to-use-an-optimizer"]], "Constructing it": [[2067, "constructing-it"]], "Per-parameter options": [[2067, "per-parameter-options"]], "Taking an optimization step": [[2067, "taking-an-optimization-step"]], "optimizer.step()": [[2067, "optimizer-step"]], "optimizer.step(closure)": [[2067, "optimizer-step-closure"]], "Base class": [[2067, "base-class"]], "Algorithms": [[2067, "algorithms"]], "How to adjust learning rate": [[2067, "how-to-adjust-learning-rate"]], "Weight Averaging (SWA and EMA)": [[2067, "weight-averaging-swa-and-ema"]], "Constructing averaged models": [[2067, "constructing-averaged-models"]], "Custom averaging strategies": [[2067, "custom-averaging-strategies"]], "SWA learning rate schedules": [[2067, "swa-learning-rate-schedules"]], "Taking care of batch normalization": [[2067, "taking-care-of-batch-normalization"]], "Putting it all together: SWA": [[2067, "putting-it-all-together-swa"]], "Putting it all together: EMA": [[2067, "putting-it-all-together-ema"]], "torch.onnx": [[2062, "torch-onnx"]], "Contributing / Developing": [[2062, "contributing-developing"]], "Serialization semantics": [[2060, "serialization-semantics"]], "Table of Contents": [[2060, "table-of-contents"]], "Saving and loading tensors": [[2060, "saving-and-loading-tensors"]], "Saving and loading tensors preserves views": [[2060, "saving-and-loading-tensors-preserves-views"]], "Saving and loading torch.nn.Modules": [[2060, "saving-and-loading-torch-nn-modules"]], "Serialized file format for torch.save": [[2060, "serialized-file-format-for-torch-save"]], "Serializing torch.nn.Modules and loading them in C++": [[2060, "serializing-torch-nn-modules-and-loading-them-in-c"]], "Saving and loading ScriptModules across PyTorch versions": [[2060, "saving-and-loading-scriptmodules-across-pytorch-versions"]], "torch.div performing integer division": [[2060, "torch-div-performing-integer-division"]], "torch.full always inferring a float dtype": [[2060, "torch-full-always-inferring-a-float-dtype"]], "torch.testing": [[2087, "module-torch.testing"]], "torch.special": [[2081, "torch-special"]], "torch": [[2089, "module-torch"]], "Tensors": [[2089, "tensors"]], "Creation Ops": [[2089, "creation-ops"]], "Indexing, Slicing, Joining, Mutating Ops": [[2089, "indexing-slicing-joining-mutating-ops"]], "Generators": [[2089, "generators"]], "Random sampling": [[2089, "random-sampling"]], "In-place random sampling": [[2089, "in-place-random-sampling"]], "Quasi-random sampling": [[2089, "quasi-random-sampling"]], "Parallelism": [[2089, "parallelism"]], "Math operations": [[2089, "math-operations"]], "Pointwise Ops": [[2089, "pointwise-ops"]], "Reduction Ops": [[2089, "reduction-ops"]], "Comparison Ops": [[2089, "comparison-ops"]], "Spectral Ops": [[2089, "spectral-ops"]], "Other Operations": [[2089, "other-operations"]], "BLAS and LAPACK Operations": [[2089, "blas-and-lapack-operations"]], "Foreach Operations": [[2089, "foreach-operations"]], "Symbolic Numbers": [[2089, "symbolic-numbers"]], "Export Path": [[2089, "export-path"]], "Control Flow": [[2089, "control-flow"]], "Optimizations": [[2089, "optimizations"]], "Operator Tags": [[2089, "operator-tags"]], "torch.signal": [[2078, "module-torch.signal"]], "torch.signal.windows": [[2078, "module-torch.signal.windows"]], "A Simple Custom Module": [[2055, "a-simple-custom-module"]], "Modules as Building Blocks": [[2055, "modules-as-building-blocks"]], "Neural Network Training with Modules": [[2055, "neural-network-training-with-modules"]], "Module State": [[2055, "module-state"]], "Module Initialization": [[2055, "module-initialization"]], "Module Hooks": [[2055, "module-hooks"]], "Advanced Features": [[2055, "advanced-features"]], "Distributed Training": [[2055, "distributed-training"]], "Profiling Performance": [[2055, "profiling-performance"]], "Improving Performance with Quantization": [[2055, "improving-performance-with-quantization"]], "Improving Memory Usage with Pruning": [[2055, "improving-memory-usage-with-pruning"]], "Parametrizations": [[2055, "parametrizations"]], "Transforming Modules with FX": [[2055, "transforming-modules-with-fx"]], "Extending torch.func with autograd.Function": [[2049, "extending-torch-func-with-autograd-function"]], "Basic Usage": [[2049, "basic-usage"]], "Example 1: autograd.Function calls into another system": [[2049, "example-1-autograd-function-calls-into-another-system"]], "Example 2: autograd.Function specifies custom gradient rules": [[2049, "example-2-autograd-function-specifies-custom-gradient-rules"]], "Limitations and gotchas": [[2049, "limitations-and-gotchas"]], "torch.vmap() Support": [[2049, "torch-vmap-support"]], "Automatically generate a vmap rule": [[2049, "automatically-generate-a-vmap-rule"]], "Defining the vmap staticmethod": [[2049, "defining-the-vmap-staticmethod"]], "torch.func.jvp() Support": [[2049, "torch-func-jvp-support"]], "torch.ao.ns._numeric_suite": [[2090, "torch-ao-ns-numeric-suite"]], "MinMaxObserver": [[822, "minmaxobserver"]], "default_debug_observer": [[830, "default-debug-observer"]], "PlaceholderObserver": [[828, "placeholderobserver"]], "float_qparams_weight_only_qconfig": [[855, "float-qparams-weight-only-qconfig"]], "MovingAveragePerChannelMinMaxObserver": [[824, "movingaverageperchannelminmaxobserver"]], "default_debug_qconfig": [[846, "default-debug-qconfig"]], "PrepareCustomConfig": [[819, "preparecustomconfig"]], "default_activation_only_qconfig": [[845, "default-activation-only-qconfig"]], "FuseCustomConfig": [[818, "fusecustomconfig"]], "per_channel_dynamic_qconfig": [[856, "per-channel-dynamic-qconfig"]], "default_observer": [[834, "default-observer"]], "default_per_channel_qconfig": [[848, "default-per-channel-qconfig"]], "default_float_qparams_observer": [[832, "default-float-qparams-observer"]], "float16_static_qconfig": [[854, "float16-static-qconfig"]], "RecordingObserver": [[829, "recordingobserver"]], "default_qconfig": [[851, "default-qconfig"]], "NoopObserver": [[825, "noopobserver"]], "prepare_qat": [[841, "prepare-qat"]], "default_dynamic_qconfig": [[847, "default-dynamic-qconfig"]], "default_dynamic_quant_observer": [[831, "default-dynamic-quant-observer"]], "load_observer_state_dict": [[839, "load-observer-state-dict"]], "StandaloneModuleConfigEntry": [[820, "standalonemoduleconfigentry"]], 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