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z;}e7M2qh)sCHt_X#p)LnC3zpO9dC`Xl#uZ8hHF$Sw!Ao1%_e5|wP6berb-(zh;M`! z1%9fIi+eHVaYaLl50EE_P+5Ri%`{^ao$cNLhe2J4V`|QK;y0)YCc&T#52$X?B>*NT z2}D|)&~lkp@+!|XZKI*(yj%nZB{X~lGnLZ~_q#8p5cO;sT)f22U{^p%ilX4zgG;@s zwzd}YVFybx{3`_XNx`-{0a-Io0Pm#eLI3~& diff --git a/2.4/_sources/generated/exportdb/index.rst.txt b/2.4/_sources/generated/exportdb/index.rst.txt index 9620cfdaad..b4fa23a697 100644 --- a/2.4/_sources/generated/exportdb/index.rst.txt +++ b/2.4/_sources/generated/exportdb/index.rst.txt @@ -473,7 +473,7 @@ cond_closed_over_variable .. note:: - Tags: :doc:`python.closure `, :doc:`torch.cond ` + Tags: :doc:`torch.cond `, :doc:`python.closure ` Support Level: SUPPORTED @@ -675,7 +675,7 @@ 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 @@ -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 @@ -1046,7 +1046,7 @@ dynamic_shape_map .. note:: - Tags: :doc:`torch.map `, :doc:`torch.dynamic-shape ` + Tags: :doc:`torch.dynamic-shape `, :doc:`torch.map ` Support Level: SUPPORTED @@ -1900,7 +1900,7 @@ dynamic_shape_round .. note:: - Tags: :doc:`python.builtin `, :doc:`torch.dynamic-shape ` + Tags: :doc:`torch.dynamic-shape `, :doc:`python.builtin ` Support Level: NOT_SUPPORTED_YET @@ -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.builtin.rst.txt b/2.4/_sources/generated/exportdb/python.builtin.rst.txt index 413152bb43..8f8952f216 100644 --- a/2.4/_sources/generated/exportdb/python.builtin.rst.txt +++ b/2.4/_sources/generated/exportdb/python.builtin.rst.txt @@ -5,7 +5,7 @@ dynamic_shape_round .. note:: - Tags: :doc:`python.builtin `, :doc:`torch.dynamic-shape ` + Tags: :doc:`torch.dynamic-shape `, :doc:`python.builtin ` Support Level: NOT_SUPPORTED_YET diff --git a/2.4/_sources/generated/exportdb/python.closure.rst.txt b/2.4/_sources/generated/exportdb/python.closure.rst.txt index e09f9b7b3a..d0fa8bf94b 100644 --- a/2.4/_sources/generated/exportdb/python.closure.rst.txt +++ b/2.4/_sources/generated/exportdb/python.closure.rst.txt @@ -5,7 +5,7 @@ cond_closed_over_variable .. note:: - Tags: :doc:`python.closure `, :doc:`torch.cond ` + Tags: :doc:`torch.cond `, :doc:`python.closure ` Support Level: SUPPORTED diff --git a/2.4/_sources/generated/exportdb/torch.cond.rst.txt b/2.4/_sources/generated/exportdb/torch.cond.rst.txt index 2588b6d896..f181581d14 100644 --- a/2.4/_sources/generated/exportdb/torch.cond.rst.txt +++ b/2.4/_sources/generated/exportdb/torch.cond.rst.txt @@ -273,7 +273,7 @@ cond_closed_over_variable .. note:: - Tags: :doc:`python.closure `, :doc:`torch.cond ` + Tags: :doc:`torch.cond `, :doc:`python.closure ` 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 39a3dbbb92..0dfbca618d 100644 --- a/2.4/_sources/generated/exportdb/torch.dynamic-shape.rst.txt +++ b/2.4/_sources/generated/exportdb/torch.dynamic-shape.rst.txt @@ -505,7 +505,7 @@ dynamic_shape_map .. note:: - Tags: :doc:`torch.map `, :doc:`torch.dynamic-shape ` + Tags: :doc:`torch.dynamic-shape `, :doc:`torch.map ` Support Level: SUPPORTED @@ -561,7 +561,7 @@ dynamic_shape_round .. note:: - Tags: :doc:`python.builtin `, :doc:`torch.dynamic-shape ` + Tags: :doc:`torch.dynamic-shape `, :doc:`python.builtin ` Support Level: NOT_SUPPORTED_YET 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.map.rst.txt b/2.4/_sources/generated/exportdb/torch.map.rst.txt index b235a5bb5e..e81e92a4f8 100644 --- a/2.4/_sources/generated/exportdb/torch.map.rst.txt +++ b/2.4/_sources/generated/exportdb/torch.map.rst.txt @@ -5,7 +5,7 @@ dynamic_shape_map .. note:: - Tags: :doc:`torch.map `, :doc:`torch.dynamic-shape ` + Tags: :doc:`torch.dynamic-shape `, :doc:`torch.map ` 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 76429e6587..27709f7a75 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 0b69a31b79..2c3fec5a31 100644 --- a/2.4/generated/exportdb/index.html +++ b/2.4/generated/exportdb/index.html @@ -930,7 +930,7 @@

cond_branch_nonlocal_variables¶

Note

-

Tags: python.closure, torch.cond

+

Tags: torch.cond, python.closure

Support Level: SUPPORTED

Original source code:

@@ -1108,7 +1108,7 @@

cond_predicate¶

Note

-

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

+

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

Support Level: SUPPORTED

Original source code:

@@ -1164,7 +1164,7 @@

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:

@@ -1423,7 +1423,7 @@

dynamic_shape_if_guarddynamic_shape_map¶

Note

-

Tags: torch.map, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.map

Support Level: SUPPORTED

Original source code:

@@ -2142,7 +2142,7 @@

Not Supported Yet¶

Note

-

Tags: python.builtin, torch.dynamic-shape

+

Tags: torch.dynamic-shape, python.builtin

Support Level: NOT_SUPPORTED_YET

Original source code:

@@ -2258,7 +2258,7 @@

torch_sym_min
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7fa2943d9b80>
+
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7fe9d8bd4b80>
diff --git a/2.4/generated/exportdb/python.builtin.html b/2.4/generated/exportdb/python.builtin.html index abb52598c7..80068b24c4 100644 --- a/2.4/generated/exportdb/python.builtin.html +++ b/2.4/generated/exportdb/python.builtin.html @@ -520,7 +520,7 @@

python.builtin¶

Note

-

Tags: python.builtin, torch.dynamic-shape

+

Tags: torch.dynamic-shape, python.builtin

Support Level: NOT_SUPPORTED_YET

Original source code:

diff --git a/2.4/generated/exportdb/python.closure.html b/2.4/generated/exportdb/python.closure.html index d5de34236e..70d9fb68be 100644 --- a/2.4/generated/exportdb/python.closure.html +++ b/2.4/generated/exportdb/python.closure.html @@ -520,7 +520,7 @@

python.closure¶

Note

-

Tags: python.closure, torch.cond

+

Tags: torch.cond, python.closure

Support Level: SUPPORTED

Original source code:

diff --git a/2.4/generated/exportdb/torch.cond.html b/2.4/generated/exportdb/torch.cond.html index edc80f09ef..8470ebf5f1 100644 --- a/2.4/generated/exportdb/torch.cond.html +++ b/2.4/generated/exportdb/torch.cond.html @@ -764,7 +764,7 @@

cond_branch_nonlocal_variables¶

Note

-

Tags: python.closure, torch.cond

+

Tags: torch.cond, python.closure

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 8b8ac9d429..fd30a66f3f 100644 --- a/2.4/generated/exportdb/torch.dynamic-shape.html +++ b/2.4/generated/exportdb/torch.dynamic-shape.html @@ -964,7 +964,7 @@

dynamic_shape_if_guarddynamic_shape_map¶

Note

-

Tags: torch.map, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.map

Support Level: SUPPORTED

Original source code:

@@ -1012,7 +1012,7 @@

dynamic_shape_map¶

Note

-

Tags: python.builtin, torch.dynamic-shape

+

Tags: torch.dynamic-shape, python.builtin

Support Level: NOT_SUPPORTED_YET

Original source code:

diff --git a/2.4/generated/exportdb/torch.dynamic-value.html b/2.4/generated/exportdb/torch.dynamic-value.html index e1dab2c20d..40eb09f7a4 100644 --- a/2.4/generated/exportdb/torch.dynamic-value.html +++ b/2.4/generated/exportdb/torch.dynamic-value.html @@ -520,7 +520,7 @@

torch.dynamic-value¶

Note

-

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

+

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

Support Level: SUPPORTED

Original source code:

@@ -576,7 +576,7 @@

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 74654611ca..341d2ec086 100644 --- a/2.4/generated/exportdb/torch.escape-hatch.html +++ b/2.4/generated/exportdb/torch.escape-hatch.html @@ -562,7 +562,7 @@

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:

@@ -618,7 +618,7 @@

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.map.html b/2.4/generated/exportdb/torch.map.html index ba12da133f..c4a545fcba 100644 --- a/2.4/generated/exportdb/torch.map.html +++ b/2.4/generated/exportdb/torch.map.html @@ -520,7 +520,7 @@

torch.map¶

Note

-

Tags: torch.map, torch.dynamic-shape

+

Tags: torch.dynamic-shape, torch.map

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 5bccf3836a..72a9d82325 100644 --- a/2.4/generated/exportdb/torch.operator.html +++ b/2.4/generated/exportdb/torch.operator.html @@ -539,7 +539,7 @@

torch_sym_min
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7fa2943d9b80>
+
Unsupported: torch.* op returned non-Tensor int call_function <function sym_min at 0x7fe9d8bd4b80>
diff --git a/2.4/quantization-backend-configuration.html b/2.4/quantization-backend-configuration.html index 885b9ffbd7..191513c347 100644 --- a/2.4/quantization-backend-configuration.html +++ b/2.4/quantization-backend-configuration.html @@ -535,7 +535,7 @@

Default values for native configurations= 2.9.6": [[2046, "id5"]], "Graph memory management": [[2046, "graph-memory-management"]], "Sharing memory across captures": [[2046, "sharing-memory-across-captures"]], "Data insensitive error": [[2073, "data-insensitive-error"]], "General tips": [[2073, "general-tips"]], "Int8 quantization tips": [[2073, "int8-quantization-tips"]], "Data sensitive error": [[2073, "data-sensitive-error"]], "Implementation error": [[2073, "implementation-error"]], "Numerical Debugging Tooling (prototype)": [[2073, "numerical-debugging-tooling-prototype"]], "Distributed RPC Framework": [[2077, "distributed-rpc-framework"]], "Basics": [[2077, "basics"], [28, "basics"]], "RPC": [[2077, "rpc"]], "Backends": [[2077, "backends"], [28, "backends"]], "TensorPipe Backend": [[2077, "tensorpipe-backend"]], "RRef": [[2077, "rref"]], "More Information about RRef": [[2077, null]], "RemoteModule": [[2077, "remotemodule"]], "Distributed Autograd Framework": [[2077, "distributed-autograd-framework"]], "More Information about RPC Autograd": [[2077, null]], "Distributed Optimizer": [[2077, "distributed-optimizer"], [2078, "distributed-optimizer"]], "ONNX supported TorchScript operators": [[2068, "onnx-supported-torchscript-operators"]], "Supported operators": [[2068, "supported-operators"]], "ONNX support for TorchScript operators": [[2068, "id1"]], "Unsupported operators": [[2068, "unsupported-operators"], [2068, "id2"]], "Autograd mechanics": [[2043, "autograd-mechanics"]], "How autograd encodes the history": [[2043, "how-autograd-encodes-the-history"]], "Saved tensors": [[2043, "saved-tensors"]], "Gradients for non-differentiable functions": [[2043, "gradients-for-non-differentiable-functions"]], "Setting requires_grad": [[2043, "setting-requires-grad"]], "Grad Modes": [[2043, "grad-modes"]], "Default Mode (Grad Mode)": [[2043, "default-mode-grad-mode"]], "No-grad Mode": [[2043, "no-grad-mode"]], "Inference Mode": [[2043, "inference-mode"]], "Evaluation Mode (nn.Module.eval())": [[2043, "evaluation-mode-nn-module-eval"]], "In-place operations with autograd": [[2043, "in-place-operations-with-autograd"]], "In-place correctness checks": [[2043, "in-place-correctness-checks"], [1, "in-place-correctness-checks"]], "Multithreaded Autograd": [[2043, "multithreaded-autograd"]], "Concurrency on CPU": [[2043, "concurrency-on-cpu"]], "Non-determinism": [[2043, "non-determinism"]], "Graph retaining": [[2043, "graph-retaining"]], "Thread Safety on Autograd Node": [[2043, "thread-safety-on-autograd-node"]], "No thread safety on C++ hooks": [[2043, "no-thread-safety-on-c-hooks"]], "Autograd for Complex Numbers": [[2043, "autograd-for-complex-numbers"]], "What are complex derivatives?": [[2043, "what-are-complex-derivatives"]], "Wirtinger Calculus comes into the picture \u2026": [[2043, "wirtinger-calculus-comes-into-the-picture"]], "How is Wirtinger Calculus useful in optimization?": [[2043, "how-is-wirtinger-calculus-useful-in-optimization"]], "How does PyTorch compute the conjugate Wirtinger derivative?": [[2043, "how-does-pytorch-compute-the-conjugate-wirtinger-derivative"]], "How can I write my own derivative formula for a complex function?": [[2043, "how-can-i-write-my-own-derivative-formula-for-a-complex-function"]], "What about cross-domain functions?": [[2043, "what-about-cross-domain-functions"]], "Hooks for saved tensors": [[2043, "hooks-for-saved-tensors"]], "Registering hooks for a saved tensor": [[2043, "registering-hooks-for-a-saved-tensor"]], "Registering default hooks for saved tensors": [[2043, "registering-default-hooks-for-saved-tensors"]], "Backward Hooks execution": [[2043, "backward-hooks-execution"]], "Whether a particular hook will be fired": [[2043, "whether-a-particular-hook-will-be-fired"]], "The order in which the different hooks are fired": [[2043, "the-order-in-which-the-different-hooks-are-fired"]], "Special hooks": [[2043, "special-hooks"]], "Behavior of Tensor hooks when Tensor is modified in-place": [[2043, "behavior-of-tensor-hooks-when-tensor-is-modified-in-place"]], "torch.nn.init": [[2041, "torch-nn-init"]], "Extending PyTorch": [[2049, "extending-pytorch"]], "Adding new operators": [[2049, "adding-new-operators"]], "Extending torch.autograd": [[2049, "extending-torch-autograd"]], "When to use": [[2049, "when-to-use"]], "When not to use": [[2049, "when-not-to-use"]], "How to use": [[2049, "how-to-use"]], "Example": [[2049, "example"], [2048, "example"]], "Combined or separate forward() and setup_context()": [[2049, "combined-or-separate-forward-and-setup-context"]], "Forward mode AD": [[2049, "forward-mode-ad"]], "torch.func transforms and/or torch.vmap()": [[2049, "torch-func-transforms-and-or-torch-vmap"]], "Extending torch.nn": [[2049, "extending-torch-nn"]], "Adding a Module": [[2049, "adding-a-module"]], "Extending torch Python API": [[2049, "extending-torch-python-api"]], "Extending torch with a Tensor-like type": [[2049, "extending-torch-with-a-tensor-like-type"]], "Subclassing torch.Tensor": [[2049, "subclassing-torch-tensor"]], "Extending torch with a Tensor wrapper type": [[2049, "extending-torch-with-a-tensor-wrapper-type"]], "Operations on multiple types that define __torch_function__": [[2049, "operations-on-multiple-types-that-define-torch-function"]], "Testing Coverage of Overrides for the PyTorch API": [[2049, "testing-coverage-of-overrides-for-the-pytorch-api"]], "Extending torch native API": [[2049, "extending-torch-native-api"]], "Extending all torch API with Modes": [[2049, "extending-all-torch-api-with-modes"]], "torch.Size": [[2081, "torch-size"]], "Distributed Data Parallel": [[2048, "distributed-data-parallel"]], "Internal Design": [[2048, "internal-design"]], "Implementation": [[2048, "implementation"], [2079, "implementation"]], "ProcessGroup": [[2048, "processgroup"]], "TorchDynamo DDPOptimizer": [[2048, "id1"]], "Broadcasting semantics": [[2044, 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split a model?": [[33, "how-does-the-pipeline-api-split-a-model"]], "Implementing Your Own Schedule": [[33, "implementing-your-own-schedule"]], "Model Split APIs": [[33, "model-split-apis"]], "Microbatch Utilities": [[33, "module-torch.distributed.pipelining.microbatch"]], "Pipeline Stages": [[33, "module-torch.distributed.pipelining.stage"]], "Pipeline Schedules": [[33, "module-torch.distributed.pipelining.schedules"]], "CUDA Environment Variables": [[20, "cuda-environment-variables"]], "PyTorch Contribution Guide": [[7, "pytorch-contribution-guide"]], "Contribution Process": [[7, "contribution-process"]], "Proposing New Features": [[7, "proposing-new-features"]], "Reporting Issues": [[7, "reporting-issues"]], "Implementing Features or Fixing Bugs": [[7, "implementing-features-or-fixing-bugs"]], "Adding Tutorials": [[7, "adding-tutorials"]], "Improving Documentation & Tutorials": [[7, "improving-documentation-tutorials"]], "Participating in Online Discussions": [[7, "participating-in-online-discussions"]], "Submitting Pull Requests to Fix Open Issues": [[7, "submitting-pull-requests-to-fix-open-issues"]], "Reviewing Open Pull Requests": [[7, "reviewing-open-pull-requests"]], "Improving Code Readability": [[7, "improving-code-readability"]], "Adding Test Cases to Make the Codebase More Robust": [[7, "adding-test-cases-to-make-the-codebase-more-robust"]], "Promoting PyTorch": [[7, "promoting-pytorch"]], "Triaging Issues": [[7, "triaging-issues"]], "About Open Source Development": [[7, "about-open-source-development"]], "Common Mistakes To Avoid": [[7, "common-mistakes-to-avoid"]], "On Documentation": [[7, "on-documentation"]], "Python Docs": [[7, "python-docs"]], "C++ Docs": [[7, "c-docs"]], "Tutorials Build Overview": [[7, "tutorials-build-overview"]], "Contributing a New Tutorial": [[7, "contributing-a-new-tutorial"]], "Automatic differentiation package - torch.autograd": [[1, "module-torch.autograd"]], "Forward-mode Automatic Differentiation": 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"extending-pytorch-and-torchscript-with-c-extensions"]], "Tensor and Autograd in C++": [[15, "tensor-and-autograd-in-c"]], "Authoring Models in C++": [[15, "authoring-models-in-c"]], "Packaging for C++": [[15, "packaging-for-c"]], "Elastic Agent": [[37, "module-torch.distributed.elastic.agent"]], "Server": [[37, "module-torch.distributed.elastic.agent.server"]], "Concepts": [[37, "concepts"]], "Implementations": [[37, "implementations"], [47, "implementations"]], "Extending the Agent": [[37, "extending-the-agent"]], "Watchdog in the Agent": [[37, "watchdog-in-the-agent"]], "Health Check Server": [[37, "health-check-server"]], "Benchmark Utils - torch.utils.benchmark": [[3, "module-torch.utils.benchmark"]], "Customization": [[39, "customization"]], "Launcher": [[39, "launcher"]], "Rendezvous Handler": [[39, "rendezvous-handler"]], "Metric Handler": [[39, "metric-handler"]], "Events Handler": [[39, "events-handler"]], "Distributed communication package - torch.distributed": [[28, 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"exceptions"]], "Dynamic Rendezvous": [[47, "dynamic-rendezvous"]], "C10d Backend": [[47, "c10d-backend"]], "Etcd Backend": [[47, "etcd-backend"]], "Etcd Rendezvous (Legacy)": [[47, "etcd-rendezvous-legacy"]], "Etcd Store": [[47, "etcd-store"]], "Etcd Server": [[47, "etcd-server"]], "torch.backends": [[2, "module-torch.backends"]], "torch.backends.cpu": [[2, "module-torch.backends.cpu"]], "torch.backends.cuda": [[2, "module-torch.backends.cuda"]], "torch.backends.cudnn": [[2, "module-torch.backends.cudnn"]], "torch.backends.mha": [[2, "module-torch.backends.mha"]], "torch.backends.mps": [[2, "module-torch.backends.mps"]], "torch.backends.mkl": [[2, "module-torch.backends.mkl"]], "torch.backends.mkldnn": [[2, "module-torch.backends.mkldnn"]], "torch.backends.nnpack": [[2, "module-torch.backends.nnpack"]], "torch.backends.openmp": [[2, "module-torch.backends.openmp"]], "torch.backends.opt_einsum": [[2, "module-torch.backends.opt_einsum"]], "torch.backends.xeon": [[2, 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2082, 2087, 2095, 2098, 2099, 2101, 2104, 2109, 2113], "longer": [1, 28, 50, 59, 60, 488, 690, 894, 909, 923, 924, 1270, 1277, 1717, 1769, 1772, 2030, 2043, 2046, 2065, 2077, 2079, 2098, 2113], "find": [1, 7, 14, 28, 47, 60, 64, 84, 1109, 1181, 1184, 1227, 1295, 1346, 1457, 1458, 1459, 1497, 1779, 1817, 1828, 1863, 1929, 2012, 2025, 2027, 2033, 2035, 2043, 2045, 2046, 2048, 2049, 2051, 2054, 2059, 2061, 2065, 2067, 2068, 2072, 2077, 2082, 2085, 2087, 2089, 2092, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2112, 2113, 2114, 2116], "quick": [1, 7, 58, 2024, 2057, 2066, 2096, 2111], "guid": [1, 8, 23, 82, 84, 85, 1285, 1769, 2013, 2021, 2046, 2050, 2053, 2070, 2072, 2111], "var": [1, 40, 45, 47, 51, 1441, 1442, 1443, 1480, 1481, 1489, 1490, 1491, 1499, 1567, 1630, 1831, 1973, 2015, 2017, 2034, 2068, 2100, 2108, 2113], "thing": [1, 3, 7, 8, 28, 33, 52, 60, 64, 1167, 1283, 1375, 1439, 1635, 1901, 2016, 2021, 2043, 2046, 2049, 2050, 2051, 2054, 2059, 2067, 2070, 2072, 2073, 2079, 2098, 2101, 2103, 2104, 2111, 2113], "detach": [1, 5, 66, 74, 75, 224, 417, 450, 460, 973, 1166, 1273, 1446, 1527, 1617, 1635, 1905, 1943, 2014, 2015, 2034, 2036, 2049, 2051, 2067, 2068, 2074, 2082, 2086, 2088, 2112], "register_hook": [1, 2034, 2043], "name": [1, 2, 3, 14, 19, 24, 28, 30, 33, 34, 35, 37, 40, 41, 44, 45, 47, 50, 52, 53, 55, 64, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 79, 89, 683, 700, 750, 751, 760, 795, 817, 818, 819, 820, 827, 843, 858, 862, 936, 939, 941, 985, 1037, 1161, 1166, 1176, 1179, 1181, 1186, 1188, 1271, 1273, 1274, 1281, 1284, 1289, 1290, 1304, 1309, 1310, 1316, 1317, 1319, 1320, 1321, 1322, 1332, 1333, 1335, 1337, 1338, 1345, 1527, 1578, 1586, 1709, 1714, 1715, 1717, 1731, 1732, 1733, 1734, 1736, 1737, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1753, 1754, 1755, 1756, 1757, 1766, 1767, 1769, 1778, 1779, 1859, 1869, 1966, 1968, 1971, 1992, 2012, 2013, 2014, 2015, 2017, 2018, 2021, 2023, 2028, 2029, 2030, 2033, 2041, 2043, 2046, 2048, 2049, 2054, 2056, 2057, 2062, 2065, 2067, 2068, 2069, 2070, 2071, 2077, 2078, 2084, 2087, 2088, 2089, 2091, 2092, 2093, 2095, 2099, 2101, 2102, 2104, 2107, 2110, 2111, 2112, 2113, 2114, 2115, 2118], "factori": [1, 2, 11, 35, 37, 41, 45, 47, 60, 827, 943, 1109, 1587, 1770, 1779, 1867, 2013, 2015, 2025, 2035, 2046, 2049, 2068, 2085, 2088, 2100, 2103], "ones": [1, 3, 19, 23, 28, 32, 34, 35, 52, 55, 60, 61, 63, 64, 66, 71, 256, 315, 404, 447, 448, 450, 517, 797, 863, 897, 913, 915, 916, 917, 918, 919, 923, 946, 958, 976, 1092, 1100, 1122, 1166, 1173, 1174, 1177, 1270, 1273, 1285, 1294, 1320, 1336, 1345, 1440, 1460, 1469, 1473, 1480, 1481, 1499, 1527, 1531, 1532, 1534, 1536, 1542, 1579, 1588, 1589, 1590, 1624, 1685, 1703, 1707, 1716, 1717, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1748, 1749, 1762, 1764, 1767, 1777, 1778, 1831, 1848, 1866, 1871, 1896, 1946, 1950, 1968, 1980, 2015, 2017, 2019, 2025, 2034, 2035, 2043, 2044, 2046, 2049, 2058, 2060, 2061, 2067, 2068, 2069, 2070, 2072, 2077, 2079, 2081, 2083, 2085, 2088, 2107, 2112, 2113], "autograd_tensor": 1, "kwarg": [1, 5, 14, 23, 28, 29, 30, 32, 33, 34, 47, 52, 53, 55, 64, 66, 582, 605, 750, 763, 765, 766, 822, 823, 824, 825, 827, 828, 894, 909, 910, 980, 1012, 1014, 1051, 1052, 1069, 1166, 1177, 1178, 1182, 1186, 1188, 1273, 1276, 1278, 1337, 1363, 1488, 1516, 1527, 1558, 1562, 1566, 1568, 1569, 1707, 1717, 1739, 1744, 1748, 1758, 1765, 1767, 1770, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1794, 1795, 1796, 1797, 1798, 1859, 1962, 1977, 1983, 2012, 2017, 2018, 2021, 2049, 2050, 2057, 2065, 2069, 2077, 2084, 2088, 2093, 2099, 2102, 2112, 2113, 2114], "base": [1, 3, 7, 9, 12, 14, 15, 20, 23, 28, 29, 30, 32, 33, 34, 35, 37, 40, 45, 47, 48, 50, 52, 53, 55, 60, 64, 87, 88, 89, 683, 794, 799, 803, 805, 823, 824, 825, 827, 828, 865, 866, 904, 907, 909, 920, 921, 930, 976, 998, 1070, 1071, 1086, 1107, 1109, 1152, 1194, 1204, 1227, 1237, 1275, 1287, 1299, 1337, 1348, 1350, 1352, 1360, 1440, 1463, 1500, 1527, 1530, 1531, 1532, 1536, 1542, 1544, 1571, 1573, 1575, 1650, 1685, 1716, 1717, 1722, 1723, 1731, 1739, 1743, 1745, 1786, 1797, 1798, 1824, 1834, 1859, 1871, 1928, 1929, 1944, 1954, 1956, 1978, 2013, 2015, 2017, 2045, 2046, 2048, 2049, 2052, 2057, 2071, 2072, 2077, 2078, 2082, 2083, 2086, 2087, 2089, 2092, 2093, 2100, 2101, 2102, 2104, 2106], "static": [1, 3, 8, 14, 29, 33, 35, 37, 47, 52, 53, 55, 66, 71, 72, 75, 797, 802, 818, 820, 827, 829, 835, 861, 863, 893, 894, 895, 896, 909, 910, 1181, 1182, 1188, 1194, 1212, 1287, 1571, 1717, 1903, 2014, 2015, 2016, 2017, 2046, 2052, 2053, 2056, 2064, 2065, 2073, 2077, 2084, 2098, 2100, 2102], "Then": [1, 29, 33, 48, 64, 932, 1473, 1579, 1734, 1779, 1966, 2043, 2044, 2046, 2048, 2049, 2050, 2053, 2060, 2061, 2067, 2069, 2070, 2077, 2078, 2092, 2098, 2101, 2102, 2105], "op": [1, 4, 24, 28, 30, 33, 52, 53, 55, 64, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 79, 80, 84, 88, 89, 152, 505, 526, 606, 760, 795, 796, 797, 826, 829, 858, 865, 866, 897, 904, 907, 909, 910, 918, 966, 976, 978, 1015, 1030, 1032, 1036, 1037, 1051, 1052, 1078, 1082, 1084, 1167, 1224, 1274, 1287, 1289, 1290, 1345, 1351, 1400, 1404, 1409, 1410, 1544, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1793, 1794, 1795, 1796, 1797, 1798, 1815, 1873, 1952, 1984, 1987, 1989, 1991, 1992, 2004, 2007, 2008, 2013, 2017, 2023, 2024, 2027, 2030, 2034, 2035, 2045, 2046, 2048, 2049, 2059, 2065, 2070, 2071, 2072, 2073, 2074, 2075, 2082, 2084, 2086, 2088, 2093, 2098, 2099, 2103, 2104, 2105, 2106, 2108, 2111, 2112, 2113], "directli": [1, 3, 7, 9, 14, 15, 23, 24, 28, 30, 33, 34, 35, 36, 37, 46, 52, 53, 55, 59, 64, 66, 79, 559, 735, 750, 894, 904, 907, 909, 978, 1092, 1160, 1167, 1174, 1176, 1184, 1217, 1304, 1533, 1561, 1580, 1644, 1691, 1759, 1950, 2014, 2016, 2017, 2021, 2025, 2030, 2036, 2043, 2046, 2048, 2049, 2050, 2052, 2054, 2056, 2057, 2058, 2059, 2062, 2070, 2071, 2072, 2077, 2082, 2087, 2089, 2095, 2100, 2102, 2103, 2104, 2106, 2107, 2112, 2113], "ctx": [1, 45, 66, 70, 893, 894, 895, 904, 905, 906, 907, 908, 909, 910, 2021, 2042, 2049, 2050, 2067], "gradcheck": [1, 1902, 2013, 2021, 2049, 2082], "extend": [1, 23, 28, 30, 33, 35, 39, 50, 64, 865, 894, 896, 904, 907, 909, 910, 1529, 1538, 1902, 1966, 2013, 2036, 2043, 2056, 2058, 2059, 2067, 2068, 2070, 2075, 2082, 2100, 2101, 2114], "staticmethod": [1, 66, 894, 896, 904, 905, 906, 907, 908, 909, 910, 2017, 2042, 2049, 2067, 2077], "result": [1, 3, 4, 5, 7, 8, 9, 12, 14, 18, 19, 23, 24, 28, 30, 33, 35, 37, 40, 45, 48, 52, 53, 55, 60, 61, 63, 64, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 86, 87, 89, 155, 223, 224, 256, 257, 317, 337, 400, 498, 500, 501, 558, 585, 586, 587, 589, 590, 620, 689, 690, 691, 692, 693, 696, 698, 699, 700, 702, 763, 796, 881, 883, 902, 903, 912, 913, 914, 915, 916, 917, 923, 924, 932, 944, 947, 958, 962, 967, 973, 975, 976, 978, 979, 990, 994, 996, 1021, 1023, 1025, 1051, 1052, 1065, 1088, 1089, 1090, 1091, 1092, 1104, 1109, 1127, 1130, 1136, 1145, 1152, 1154, 1157, 1162, 1163, 1166, 1167, 1168, 1171, 1172, 1177, 1178, 1182, 1186, 1197, 1202, 1210, 1213, 1217, 1235, 1236, 1238, 1250, 1264, 1273, 1276, 1277, 1285, 1289, 1290, 1292, 1294, 1295, 1299, 1313, 1315, 1317, 1318, 1326, 1330, 1332, 1334, 1335, 1336, 1343, 1353, 1354, 1361, 1371, 1373, 1374, 1375, 1376, 1378, 1379, 1418, 1421, 1436, 1437, 1438, 1463, 1465, 1466, 1467, 1471, 1473, 1478, 1492, 1497, 1527, 1533, 1543, 1571, 1572, 1573, 1574, 1575, 1579, 1615, 1633, 1644, 1700, 1703, 1704, 1717, 1731, 1734, 1767, 1770, 1771, 1772, 1773, 1779, 1782, 1809, 1815, 1817, 1824, 1825, 1828, 1834, 1847, 1853, 1868, 1883, 1895, 1906, 1908, 1909, 1913, 1920, 1922, 1923, 1924, 1927, 1928, 1929, 1939, 1943, 1944, 1949, 1950, 1952, 1953, 1955, 1965, 1968, 1972, 1973, 1977, 2014, 2015, 2016, 2017, 2021, 2024, 2025, 2027, 2034, 2035, 2036, 2041, 2042, 2043, 2044, 2045, 2046, 2048, 2049, 2050, 2051, 2054, 2055, 2057, 2059, 2060, 2061, 2062, 2064, 2065, 2067, 2069, 2071, 2072, 2073, 2074, 2077, 2078, 2081, 2082, 2085, 2087, 2088, 2089, 2093, 2094, 2095, 2099, 2100, 2101, 2103, 2107, 2110, 2111, 2112, 2113, 2114], "save_for_backward": [1, 894, 904, 906, 908, 909, 910, 2021, 2042, 2043, 2049, 2050, 2067], "grad_output": [1, 66, 893, 904, 905, 909, 910, 918, 924, 928, 929, 1273, 1527, 2015, 2043, 2046, 2049, 2050, 2057, 2108], "saved_tensor": [1, 904, 906, 907, 908, 909, 910, 2021, 2042, 2043, 2049, 2050], "inspect": [1, 28, 52, 55, 64, 935, 1273, 1285, 2042, 2049, 2056, 2070, 2073, 2085, 2104, 2106, 2107, 2114], "cost": [1, 3, 4, 8, 9, 24, 30, 33, 55, 488, 966, 976, 1329, 1446, 1454, 1455, 1456, 1457, 1458, 1459, 1608, 1609, 1610, 1611, 1612, 1613, 1617, 1685, 1867, 2046, 2052, 2061, 2073, 2078, 2085, 2109, 2113], "both": [1, 2, 3, 14, 19, 23, 24, 25, 28, 29, 30, 34, 35, 40, 45, 46, 47, 48, 52, 53, 55, 63, 64, 66, 74, 75, 99, 341, 501, 732, 771, 772, 775, 776, 777, 796, 855, 896, 903, 909, 910, 913, 914, 915, 916, 917, 944, 982, 998, 1032, 1065, 1104, 1110, 1111, 1112, 1125, 1155, 1156, 1157, 1166, 1215, 1217, 1227, 1234, 1250, 1263, 1264, 1270, 1273, 1287, 1295, 1296, 1344, 1360, 1368, 1374, 1389, 1390, 1436, 1437, 1441, 1442, 1443, 1451, 1454, 1455, 1456, 1457, 1458, 1459, 1473, 1481, 1487, 1489, 1490, 1491, 1498, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1520, 1521, 1522, 1527, 1533, 1567, 1575, 1579, 1580, 1583, 1600, 1601, 1602, 1608, 1609, 1610, 1611, 1612, 1613, 1658, 1659, 1660, 1685, 1717, 1726, 1728, 1737, 1767, 1784, 1785, 1797, 1809, 1832, 1833, 1871, 1876, 1901, 1903, 1905, 1924, 1928, 1949, 1950, 1989, 2014, 2016, 2017, 2021, 2024, 2034, 2035, 2037, 2042, 2043, 2044, 2049, 2050, 2052, 2053, 2054, 2057, 2060, 2061, 2062, 2067, 2070, 2072, 2075, 2076, 2077, 2079, 2082, 2083, 2084, 2089, 2092, 2093, 2094, 2098, 2100, 2102, 2103, 2104, 2105, 2106, 2110, 2113], "cpu": [1, 4, 5, 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, 869, 884, 937, 939, 945, 954, 996, 999, 1000, 1011, 1021, 1022, 1023, 1025, 1110, 1112, 1122, 1127, 1145, 1157, 1161, 1163, 1164, 1222, 1224, 1225, 1226, 1231, 1232, 1249, 1273, 1281, 1283, 1284, 1293, 1303, 1305, 1309, 1310, 1311, 1312, 1314, 1316, 1319, 1321, 1322, 1328, 1331, 1334, 1337, 1338, 1344, 1345, 1360, 1363, 1374, 1386, 1463, 1469, 1527, 1700, 1717, 1722, 1723, 1758, 1759, 1773, 1776, 1783, 1827, 1836, 1838, 1840, 1842, 1843, 1867, 1872, 1873, 1874, 1876, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 1895, 1905, 1910, 1911, 1912, 1913, 1914, 1915, 1928, 1943, 1944, 1945, 1954, 1956, 1961, 1965, 1982, 2010, 2013, 2014, 2015, 2017, 2021, 2025, 2027, 2033, 2034, 2036, 2046, 2049, 2050, 2052, 2055, 2057, 2060, 2061, 2063, 2067, 2068, 2071, 2073, 2076, 2077, 2082, 2084, 2085, 2088, 2089, 2091, 2094, 2095, 2098, 2102, 2103, 2104, 2106, 2107, 2110, 2111, 2113], "There": [1, 5, 6, 7, 9, 12, 14, 19, 22, 28, 30, 47, 52, 53, 55, 56, 60, 61, 64, 86, 87, 89, 683, 737, 796, 894, 909, 910, 976, 1167, 1463, 1497, 1543, 1685, 1717, 1724, 1725, 1765, 1770, 2012, 2014, 2016, 2017, 2023, 2024, 2035, 2043, 2046, 2049, 2050, 2051, 2056, 2059, 2063, 2064, 2067, 2070, 2071, 2072, 2073, 2077, 2079, 2088, 2091, 2098, 2100, 2101, 2103, 2104, 2111, 2112, 2113], "moment": [1, 66, 72, 775, 776, 777, 994, 1784, 1785, 1786, 1788, 1794, 1798, 2027, 2033, 2036, 2071, 2077, 2110], "nvprof": [1, 4, 933, 2046], "regist": [1, 15, 19, 24, 28, 32, 35, 47, 50, 52, 53, 55, 64, 82, 84, 85, 86, 87, 89, 489, 490, 683, 795, 796, 858, 928, 929, 976, 1054, 1188, 1273, 1345, 1527, 1528, 1529, 1537, 1538, 1556, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1717, 1718, 1731, 1732, 1734, 1735, 1737, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1794, 1795, 1796, 1797, 1798, 1966, 1968, 2021, 2030, 2033, 2046, 2048, 2049, 2056, 2057, 2062, 2065, 2067, 2070, 2077, 2094, 2101, 2103, 2106, 2109], "activ": [1, 5, 7, 9, 33, 34, 50, 52, 55, 61, 81, 83, 795, 797, 799, 806, 810, 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2069, 2083, 2087, 2089, 2101, 2112], "term": [1, 8, 9, 35, 47, 53, 64, 560, 737, 766, 795, 966, 1125, 1126, 1127, 1128, 1129, 1130, 1132, 1140, 1141, 1142, 1145, 1157, 1188, 1195, 1305, 1431, 1439, 1480, 1487, 1497, 1498, 1532, 1541, 1559, 1630, 1642, 1677, 1689, 1717, 1731, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1781, 1782, 1783, 1784, 1785, 1786, 1788, 1794, 1795, 1798, 1847, 1883, 1891, 2013, 2017, 2042, 2043, 2049, 2050, 2051, 2054, 2059, 2067, 2069, 2070, 2072, 2078, 2082, 2094, 2100, 2101, 2104], "mulbackward0": [1, 913, 916, 917, 2049], "inplac": [1, 30, 52, 58, 60, 64, 66, 74, 75, 758, 761, 779, 781, 783, 794, 800, 817, 841, 842, 843, 861, 862, 867, 904, 905, 909, 930, 976, 1167, 1273, 1435, 1445, 1464, 1465, 1466, 1467, 1468, 1471, 1483, 1484, 1485, 1513, 1526, 1527, 1546, 1547, 1548, 1555, 1557, 1570, 1599, 1607, 1618, 1619, 1620, 1621, 1622, 1626, 1637, 1638, 1639, 1648, 1664, 1679, 1680, 1683, 1686, 1688, 1698, 1710, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1794, 1795, 1796, 1797, 1798, 1965, 2015, 2024, 2043, 2049, 2067, 2093, 2108, 2112], "lead": [1, 5, 7, 22, 28, 36, 52, 53, 55, 61, 64, 904, 905, 909, 912, 914, 918, 924, 978, 1160, 1178, 1188, 1304, 1497, 1543, 1559, 1913, 1919, 1977, 2017, 2035, 2036, 2043, 2045, 2048, 2049, 2050, 2052, 2059, 2060, 2063, 2069, 2070, 2072, 2077, 2082, 2087, 2088, 2098, 2105], "undefin": [1, 28, 36, 40, 321, 473, 619, 882, 904, 908, 909, 910, 923, 924, 952, 960, 978, 1112, 1162, 1163, 1439, 1778, 1821, 2021, 2043, 2046, 2049, 2050, 2061, 2077], "recurs": [1, 35, 52, 55, 64, 978, 982, 1101, 1186, 1195, 1213, 1273, 1285, 1287, 1527, 1724, 1725, 1801, 2016, 2049, 2053, 2057, 2070, 2077, 2101, 2102, 2104, 2105], "inner": [1, 3, 55, 56, 61, 818, 820, 912, 1092, 1168, 1172, 1177, 1185, 1193, 1950, 2015, 2049, 2068, 2077, 2093], "save_on_cpu": 1, "pin_memori": [1, 23, 66, 71, 75, 76, 77, 447, 448, 449, 450, 451, 1110, 1112, 1161, 1836, 1840, 1842, 1943, 2014, 2015, 2036, 2046, 2049, 2068, 2084, 2108], 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[2, 17, 20], "subject": [2, 3, 11, 18, 19, 28, 30, 32, 34, 55, 63, 64, 65, 235, 869, 1586, 1587, 1588, 1591, 1685, 1717, 2017, 2034, 2035, 2043, 2049, 2067, 2071, 2072, 2073, 2077, 2082, 2085, 2091, 2092, 2093, 2095, 2100, 2110], "rocm": [2, 17, 689, 692, 944, 956, 1368, 1378, 1454, 1455, 1456, 1457, 1458, 1459, 1479, 1498, 1514, 2013], "hipbla": [2, 17, 19], "hipblaslt": [2, 17, 19], "offer": [2, 28, 30, 55, 58, 1717, 1965, 2046, 2049, 2055, 2070, 2071, 2077, 2082, 2099, 2104, 2108, 2116], "wherev": [2, 9, 2034], "prefer": [2, 9, 23, 28, 30, 37, 48, 55, 866, 882, 914, 1201, 1271, 1314, 1327, 1331, 1339, 1346, 1534, 1685, 1863, 1924, 1943, 2014, 2025, 2043, 2046, 2069, 2070, 2082, 2104], "environ": [2, 3, 7, 14, 15, 18, 19, 22, 24, 30, 33, 35, 37, 40, 45, 51, 52, 64, 81, 83, 683, 1186, 1188, 1210, 1283, 1289, 1497, 1543, 1965, 2012, 2013, 2014, 2023, 2043, 2045, 2046, 2048, 2055, 2060, 2061, 2063, 2077, 2095, 2097, 2099, 2104, 2113], "variabl": [2, 3, 5, 12, 14, 18, 19, 22, 24, 35, 37, 40, 45, 47, 51, 53, 55, 60, 64, 66, 69, 74, 75, 81, 83, 450, 683, 715, 716, 717, 718, 719, 720, 721, 722, 723, 726, 727, 728, 729, 731, 732, 733, 734, 735, 737, 741, 742, 743, 744, 745, 746, 748, 749, 759, 763, 767, 802, 904, 905, 909, 978, 990, 994, 998, 1078, 1110, 1178, 1188, 1287, 1289, 1346, 1444, 1454, 1455, 1456, 1457, 1458, 1459, 1463, 1469, 1470, 1478, 1479, 1497, 1498, 1499, 1512, 1514, 1527, 1530, 1535, 1543, 1545, 1717, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1776, 1780, 1782, 1799, 1800, 1801, 1802, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1812, 1813, 1836, 1838, 1840, 1965, 1977, 2010, 2012, 2013, 2023, 2024, 2035, 2036, 2043, 2045, 2046, 2048, 2051, 2054, 2060, 2061, 2063, 2065, 2067, 2069, 2072, 2077, 2084, 2087, 2095, 2100, 2101, 2102, 2104, 2106, 2113], "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, 858, 865, 869, 877, 932, 945, 954, 990, 1009, 1043, 1060, 1067, 1110, 1112, 1122, 1127, 1145, 1161, 1164, 1167, 1231, 1232, 1254, 1261, 1273, 1276, 1289, 1293, 1344, 1360, 1527, 1685, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1717, 1744, 1748, 1776, 1836, 1838, 1840, 1843, 1867, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 2010, 2014, 2017, 2018, 2021, 2029, 2037, 2042, 2049, 2056, 2057, 2059, 2061, 2062, 2072, 2077, 2078, 2079, 2082, 2085, 2087, 2101, 2102, 2103, 2104, 2105, 2112, 2113], "overridden": [2, 14, 64, 893, 894, 895, 909, 910, 1051, 1527, 1903, 2017, 2043, 2049, 2060, 2113, 2114], "achiev": [2, 19, 23, 24, 28, 30, 34, 35, 48, 55, 1109, 1174, 1273, 1440, 1446, 1527, 1533, 1534, 1606, 1635, 1717, 2031, 2046, 2056, 2059, 2070, 2077, 2079, 2113], "better": [2, 3, 7, 8, 9, 14, 23, 27, 28, 37, 52, 59, 919, 976, 1078, 1166, 1170, 1171, 1182, 1260, 1289, 1462, 1561, 1685, 1691, 1717, 1724, 1725, 1809, 1834, 2017, 2042, 2043, 2045, 2046, 2052, 2054, 2061, 2063, 2067, 2069, 2071, 2072, 2073, 2082, 2087, 2093, 2095, 2099, 2101, 2102, 2110], "select": [2, 5, 15, 17, 19, 21, 23, 28, 30, 35, 37, 45, 53, 315, 317, 319, 323, 763, 966, 1000, 1002, 1006, 1015, 1016, 1020, 1027, 1028, 1029, 1030, 1032, 1053, 1057, 1059, 1060, 1061, 1063, 1065, 1066, 1067, 1072, 1073, 1074, 1075, 1078, 1079, 1082, 1084, 1086, 1087, 1129, 1346, 1375, 1400, 1401, 1402, 1403, 1404, 1409, 1410, 1446, 1454, 1455, 1456, 1457, 1458, 1459, 1478, 1497, 1543, 1591, 1608, 1609, 1610, 1611, 1612, 1613, 1617, 1685, 1753, 1754, 1866, 1940, 1968, 1980, 1984, 1985, 1986, 1987, 1989, 2004, 2007, 2008, 2014, 2015, 2017, 2033, 2034, 2035, 2036, 2043, 2045, 2046, 2054, 2061, 2068, 2072, 2082, 2086, 2089, 2102, 2108, 2110, 2115], "incorrect": [2, 4, 5, 55, 64, 86, 87, 89, 256, 515, 558, 904, 907, 909, 923, 932, 958, 978, 1289, 1332, 1345, 1533, 1571, 1572, 1573, 1574, 1575, 1703, 1772, 1913, 1924, 2014, 2017, 2021, 2046, 2060, 2067, 2101, 2116], "_blasbackend": 2, "preferred_linalg_librari": [2, 1310], "heurist": [2, 14, 23, 47, 48, 64, 981, 1109, 2052, 2098, 2107], "cusolv": [2, 1337, 1338, 1928], "magma": [2, 1319, 1363, 1827, 1928, 2063, 2082], "algebra": [2, 9, 1109, 1310, 1331, 2013, 2022], "decid": [2, 4, 7, 28, 37, 47, 59, 488, 1184, 1748, 2024, 2067, 2082, 2103, 2104, 2107], "pick": [2, 28, 46, 48, 515, 976, 2043, 2077, 2100, 2102, 2107], "torch_linalg_prefer_cusolv": 2, "linalg": [2, 11, 408, 966, 967, 968, 969, 1008, 1095, 1217, 1251, 1354, 1363, 1364, 1365, 1369, 1370, 1731, 1732, 1737, 1772, 1814, 1819, 1821, 1827, 1897, 1928, 1929, 1952, 1974, 2013], "inv": [2, 35, 1251, 1305, 1309, 1315, 1331, 1335, 1339], "inv_ex": [2, 1314], "cholesky_ex": [2, 1303], "lu_factor": [2, 1322, 1323, 1363, 1364, 1365], "lu": [2, 10, 1315, 1321, 1322, 1323, 1364, 1365, 2015], "eigh": [2, 1303, 1309, 1312, 1331, 1337, 2060], "eighval": 2, "svdval": [2, 1305, 1319, 1328, 1337, 1928, 2060], "_linalgbackend": 2, "sdpaparam": 2, "flash_sdp_en": 2, "flash": [2, 1586, 1591], "scale": [2, 7, 23, 33, 35, 37, 46, 48, 99, 175, 475, 477, 619, 688, 692, 693, 694, 741, 742, 743, 744, 745, 746, 747, 752, 753, 754, 755, 756, 757, 758, 759, 762, 773, 775, 776, 777, 778, 780, 783, 784, 798, 802, 805, 822, 823, 824, 825, 828, 944, 1123, 1124, 1127, 1145, 1177, 1178, 1360, 1435, 1464, 1469, 1470, 1471, 1487, 1499, 1555, 1580, 1581, 1582, 1586, 1591, 1624, 1625, 1626, 1642, 1644, 1685, 1686, 1691, 1782, 1803, 1829, 1830, 1831, 1832, 1833, 1906, 1907, 1925, 1977, 2013, 2015, 2035, 2041, 2046, 2051, 2053, 2057, 2065, 2072, 2073, 2075, 2083, 2104], "product": [2, 15, 28, 30, 35, 47, 152, 689, 692, 693, 694, 763, 897, 902, 913, 915, 916, 917, 918, 944, 956, 962, 966, 994, 1008, 1020, 1067, 1072, 1086, 1087, 1090, 1106, 1109, 1173, 1177, 1178, 1250, 1294, 1306, 1313, 1339, 1340, 1342, 1368, 1375, 1378, 1415, 1478, 1479, 1497, 1498, 1586, 1591, 1632, 1685, 1731, 1815, 1816, 1825, 1871, 1945, 1960, 1974, 1977, 2013, 2014, 2034, 2043, 2054, 2056, 2060, 2070, 2072, 2082, 2101, 2115], "attent": [2, 7, 34, 738, 1440, 1533, 1571, 1573, 1575, 1586, 1588, 1606, 1685, 2013, 2063, 2086, 2101], "enable_mem_efficient_sdp": [2, 1685], "mem_efficient_sdp_en": 2, "enable_flash_sdp": [2, 1685], "math_sdp_en": 2, "math": [2, 23, 64, 1119, 1325, 1586, 1591, 1645, 1685, 1817, 1834, 1929, 2013, 2014, 2016, 2017, 2052, 2060, 2082, 2083, 2089, 2113], "enable_math_sdp": [2, 1685], "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, 683, 830, 831, 835, 847, 923, 924, 976, 978, 985, 1009, 1042, 1083, 1221, 1303, 1710, 1711, 1712, 1713, 1870, 1877, 2013, 2016, 2023, 2043, 2045, 2046, 2048, 2055, 2056, 2057, 2061, 2063, 2065, 2067, 2070, 2092, 2100, 2101, 2102, 2105, 2106, 2109, 2115, 2116, 2117], "check": [2, 3, 4, 5, 11, 14, 19, 20, 23, 28, 29, 30, 35, 47, 55, 66, 67, 72, 75, 223, 342, 501, 697, 865, 904, 905, 907, 908, 909, 910, 923, 924, 930, 978, 1011, 1012, 1014, 1018, 1047, 1065, 1184, 1188, 1196, 1197, 1205, 1206, 1260, 1270, 1273, 1289, 1290, 1303, 1304, 1309, 1310, 1312, 1315, 1317, 1322, 1328, 1331, 1335, 1337, 1338, 1363, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1527, 1707, 1717, 1734, 1737, 1750, 1760, 1779, 1780, 1903, 1910, 1911, 1912, 1913, 1914, 1915, 1966, 1982, 1983, 2012, 2013, 2016, 2017, 2018, 2021, 2034, 2035, 2042, 2046, 2049, 2050, 2051, 2052, 2056, 2057, 2058, 2061, 2062, 2065, 2067, 2069, 2070, 2071, 2072, 2077, 2082, 2087, 2089, 2097, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2112, 2113, 2114, 2117], "flashattent": [2, 1575, 1685], "util": [2, 7, 17, 30, 48, 52, 53, 55, 56, 63, 64, 66, 501, 735, 738, 741, 742, 743, 748, 749, 759, 763, 767, 793, 801, 910, 1025, 1110, 1111, 1112, 1160, 1205, 1206, 1273, 1478, 1497, 1527, 1543, 1544, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1717, 1734, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1758, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1794, 1795, 1796, 1797, 1798, 1803, 1809, 1932, 1933, 1935, 1936, 1937, 1965, 2013, 2017, 2021, 2025, 2030, 2042, 2044, 2045, 2046, 2049, 2051, 2053, 2054, 2056, 2057, 2059, 2061, 2067, 2069, 2070, 2100, 2101, 2104, 2111, 2113, 2116], "scaled_dot_product_attent": [2, 1533, 1571, 1587, 1590, 1591, 2015, 2038, 2039, 2040, 2068], "_sdpaparam": 2, "kei": [2, 3, 23, 30, 33, 37, 45, 47, 48, 52, 53, 55, 62, 64, 417, 605, 683, 738, 858, 863, 931, 936, 943, 1075, 1166, 1176, 1189, 1273, 1289, 1290, 1345, 1527, 1528, 1533, 1537, 1571, 1572, 1573, 1574, 1575, 1588, 1685, 1751, 1767, 1966, 1968, 2013, 2015, 2016, 2017, 2021, 2029, 2046, 2049, 2056, 2057, 2062, 2067, 2068, 2069, 2071, 2072, 2075, 2077, 2078, 2084, 2087, 2089, 2092, 2094, 2105, 2110, 2111, 2112, 2116], "mask": [2, 45, 401, 402, 403, 404, 405, 546, 738, 923, 924, 1367, 1435, 1446, 1471, 1533, 1571, 1572, 1573, 1574, 1575, 1626, 1685, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1751, 1752, 1753, 1754, 1798, 2013, 2015, 2034, 2035, 2082, 2104], "dropout": [2, 5, 34, 64, 737, 738, 763, 1273, 1435, 1465, 1466, 1467, 1471, 1478, 1497, 1527, 1533, 1543, 1544, 1571, 1573, 1575, 1599, 1619, 1620, 1621, 1626, 1685, 2013, 2015, 2027, 2035, 2036, 2043, 2046, 2068, 2074], "causal": [2, 738, 1533, 1571, 1572, 1573, 1574, 1575, 1587, 1588, 1589, 1590, 1685], "warn": [2, 3, 14, 18, 19, 24, 25, 28, 32, 52, 86, 87, 89, 683, 912, 918, 966, 1020, 1067, 1072, 1083, 1086, 1087, 1178, 1188, 1254, 1270, 1289, 1331, 1345, 1375, 1533, 1571, 1572, 1573, 1574, 1575, 1685, 1734, 1737, 1870, 1877, 1924, 1965, 1977, 2012, 2023, 2030, 2044, 2049, 2065, 2068, 2070, 2076, 2101, 2113], "why": [2, 3, 7, 23, 60, 64, 1109, 1277, 1685, 2013, 2021, 2024, 2050, 2052, 2100, 2101, 2103, 2111, 2115], "could": [2, 4, 5, 7, 8, 17, 19, 23, 28, 34, 35, 37, 47, 60, 63, 64, 585, 586, 587, 589, 590, 932, 1047, 1130, 1132, 1140, 1141, 1142, 1189, 1270, 1279, 1304, 1345, 1363, 1389, 1390, 1724, 1725, 1802, 1905, 1929, 1961, 2016, 2017, 2024, 2033, 2043, 2046, 2048, 2062, 2063, 2067, 2070, 2072, 2073, 2077, 2078, 2079, 2082, 2086, 2087, 2099, 2101, 2104, 2105, 2109, 2113, 2116, 2117], "depend": [2, 4, 5, 12, 14, 23, 28, 30, 32, 33, 35, 37, 47, 48, 50, 53, 55, 64, 317, 788, 882, 1020, 1067, 1072, 1086, 1087, 1130, 1132, 1140, 1141, 1142, 1168, 1172, 1177, 1188, 1198, 1200, 1201, 1202, 1204, 1285, 1289, 1309, 1310, 1337, 1363, 1368, 1439, 1440, 1460, 1462, 1470, 1473, 1486, 1492, 1493, 1518, 1519, 1530, 1531, 1532, 1534, 1541, 1559, 1560, 1576, 1579, 1580, 1598, 1605, 1606, 1616, 1625, 1633, 1645, 1669, 1677, 1685, 1704, 1707, 1717, 1737, 1738, 1744, 1803, 1815, 1817, 1834, 1850, 1910, 1911, 1912, 1914, 1915, 1928, 1952, 1980, 2012, 2014, 2016, 2017, 2021, 2024, 2025, 2033, 2043, 2045, 2046, 2049, 2050, 2052, 2053, 2054, 2057, 2059, 2064, 2066, 2067, 2071, 2072, 2077, 2082, 2088, 2089, 2094, 2095, 2098, 2099, 2100, 2101, 2103, 2104, 2106, 2109, 2111, 2112, 2115], "can_use_efficient_attent": 2, "efficient_attent": [2, 1586, 1591], "sdp_kernel": [2, 1685], "enable_flash": 2, "enable_math": [2, 1685], "enable_mem_effici": 2, "enable_cudnn": 2, "temporarili": [2, 37, 1867, 2043, 2067, 2071, 2107], "previou": [2, 18, 28, 30, 47, 52, 55, 64, 515, 558, 763, 976, 978, 1043, 1154, 1227, 1284, 1344, 1360, 1478, 1497, 1543, 1591, 1717, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1779, 1811, 1834, 1924, 2027, 2043, 2046, 2049, 2057, 2063, 2065, 2072, 2079, 2095, 2104], "restor": [2, 5, 30, 32, 64, 90, 986, 1154, 1344, 1360, 1591, 1769, 1854, 1875, 2057, 2062, 2102], "is_avail": [2, 17, 28, 1968, 2013, 2046, 2053, 2055, 2058, 2062, 2071, 2095, 2120], "determinist": [2, 3, 5, 22, 28, 35, 64, 86, 90, 488, 501, 515, 877, 1110, 1111, 1112, 1221, 1254, 1276, 1289, 1290, 1371, 1374, 1376, 1446, 1454, 1455, 1456, 1457, 1458, 1459, 1497, 1543, 1608, 1609, 1610, 1611, 1612, 1613, 1617, 1685, 1864, 1870, 1965, 2013, 2015, 2043, 2052, 2061, 2069, 2076], "algorithm": [2, 3, 7, 11, 19, 21, 24, 29, 32, 35, 37, 55, 90, 763, 782, 788, 966, 1270, 1314, 1321, 1327, 1331, 1337, 1346, 1363, 1446, 1454, 1455, 1456, 1457, 1458, 1459, 1473, 1476, 1478, 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2062, 2067, 2069, 2077, 2078, 2100], "workload": [3, 8, 19, 23, 28, 55, 1054, 2046, 2052, 2056, 2060, 2071, 2077, 2097, 2111], "good": [3, 7, 8, 14, 64, 976, 1170, 1195, 1535, 1811, 1891, 2012, 2021, 2033, 2046, 2049, 2052, 2056, 2057, 2059, 2067, 2070, 2072, 2100, 2101, 2102, 2103, 2110], "intrins": [3, 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, 732, 795, 796, 2073, 2074], "contrast": [3, 35, 37, 52, 763, 1184, 1478, 1797, 2041, 2043, 2050, 2052, 2082, 2108], "adaptive_autorang": 3, "threshold": [3, 24, 64, 1328, 1331, 1487, 1559, 1564, 1693, 1699, 1811, 1875, 2015, 2042, 2046, 2068, 2087], "min_run_tim": 3, "01": [3, 29, 32, 50, 490, 758, 783, 824, 825, 1110, 1152, 1513, 1648, 1649, 1707, 1779, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1791, 1794, 1795, 1796, 1797, 1798, 1803, 1809, 1829, 1882, 1884, 1885, 1890, 1891, 2015, 2041, 2056, 2067, 2069, 2108], "max_run_tim": 3, "callback": [3, 24, 37, 50, 63, 64, 1717, 2030, 2049, 2056, 2071, 2077], "similar": [3, 7, 9, 11, 20, 23, 28, 35, 44, 53, 55, 60, 63, 64, 495, 517, 715, 716, 717, 718, 719, 720, 723, 733, 734, 735, 736, 748, 749, 759, 767, 805, 881, 896, 909, 910, 957, 962, 975, 976, 1155, 1156, 1273, 1460, 1461, 1473, 1486, 1489, 1490, 1491, 1527, 1576, 1615, 1758, 1772, 1773, 1798, 1821, 1849, 1856, 1905, 1940, 1946, 1962, 2016, 2017, 2033, 2034, 2036, 2043, 2045, 2046, 2049, 2050, 2054, 2060, 2067, 2070, 2072, 2077, 2078, 2082, 2083, 2088, 2100, 2103, 2104, 2106, 2109, 2113, 2118], "blocked_autorang": 3, "variablil": 3, "until": [3, 5, 7, 23, 24, 28, 30, 32, 37, 47, 55, 63, 64, 488, 1011, 1012, 1014, 1045, 1163, 1294, 1346, 1386, 1389, 1390, 1633, 1707, 1717, 1800, 1802, 1806, 1946, 1982, 1983, 1996, 2029, 2033, 2041, 2046, 2051, 2052, 2053, 2062, 2065, 2067, 2071, 2077, 2079, 2084, 2101, 2104], "iqr": 3, "smaller": [3, 19, 23, 64, 501, 547, 998, 1497, 1717, 1811, 1826, 1871, 1916, 2046, 2062, 2070, 2099, 2115, 2118], "reach": [3, 7, 8, 9, 23, 24, 28, 29, 37, 47, 52, 56, 1346, 1717, 1800, 1803, 1806, 1807, 2043, 2049, 2059, 2073, 2077, 2102], "At": [3, 5, 6, 7, 15, 17, 19, 23, 33, 1143, 1441, 1442, 1443, 1454, 1455, 1456, 1457, 1458, 1459, 1494, 1495, 1496, 1966, 1970, 2027, 2036, 2045, 2054, 2072, 2077, 2083, 2101, 2102, 2104, 2113], "high": [3, 4, 7, 8, 9, 10, 15, 24, 28, 35, 37, 44, 46, 48, 64, 121, 1446, 1574, 1838, 1839, 1871, 1970, 2015, 2025, 2030, 2033, 2049, 2054, 2055, 2057, 2058, 2059, 2069, 2072, 2073, 2077, 2082, 2087, 2088, 2089, 2093, 2097, 2098, 2101, 2108, 2113, 2116, 2117], "pseudo": [3, 90], "block_siz": 3, "enough_data": 3, "len": [3, 23, 30, 64, 66, 71, 220, 547, 696, 698, 699, 702, 1128, 1132, 1135, 1139, 1142, 1146, 1177, 1277, 1340, 1361, 1373, 1418, 1421, 1463, 1672, 1743, 1745, 1761, 1802, 1809, 1913, 1916, 1922, 1923, 1927, 1971, 1972, 1973, 2014, 2015, 2017, 2049, 2068, 2081, 2082, 2087, 2101, 2112], "small_iqr": 3, "break": [3, 7, 28, 35, 58, 64, 683, 897, 976, 978, 1188, 1273, 1319, 1527, 1856, 1875, 2013, 2018, 2023, 2025, 2048, 2069, 2082, 2091, 2095, 2098, 2100, 2102, 2105, 2107, 2109], "stop": [3, 5, 28, 35, 37, 47, 48, 50, 53, 869, 898, 941, 1047, 1188, 1271, 1346, 1446, 1758, 1811, 1843, 2014, 2017, 2071, 2077, 2081, 2101, 2105], "repetit": [3, 1849, 1946], "statist": [3, 24, 28, 35, 802, 803, 823, 824, 825, 827, 828, 1020, 1057, 1059, 1060, 1061, 1063, 1065, 1066, 1067, 1072, 1073, 1074, 1075, 1086, 1087, 1351, 1441, 1442, 1443, 1481, 1489, 1490, 1491, 1499, 1500, 1501, 1502, 1509, 1510, 1511, 1567, 2030, 2043, 2051, 2069, 2072, 2075, 2104, 2113], "minimum": [3, 14, 19, 24, 47, 48, 52, 699, 700, 774, 798, 823, 824, 825, 828, 829, 879, 947, 1089, 1156, 1234, 1235, 1236, 1376, 1446, 1485, 1577, 1801, 1802, 1809, 1891, 1910, 1911, 1912, 1913, 1914, 1915, 2015, 2041, 2043, 2054, 2068, 2075, 2085, 2108], "total_tim": 3, "choic": [3, 8, 9, 28, 1289, 1337, 1528, 1537, 1834, 2045, 2067, 2075, 2082, 2100, 2101, 2113], "block": [3, 7, 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2049, 2050, 2052, 2057, 2059, 2065, 2071, 2077, 2078, 2082, 2085, 2087, 2095, 2098, 2101, 2102, 2104], "logic": [3, 5, 12, 14, 23, 38, 51, 55, 64, 948, 950, 951, 953, 983, 984, 1126, 1128, 1131, 1132, 1134, 1135, 1138, 1139, 1141, 1142, 1144, 1146, 1167, 1208, 1209, 1277, 1355, 1356, 1357, 1358, 1368, 1533, 1717, 1826, 1853, 1937, 2017, 2018, 2046, 2048, 2049, 2050, 2054, 2072, 2101], "question": [3, 10, 23, 64, 1196, 1769, 2013, 2043, 2052, 2094, 2100, 2103], "involv": [3, 5, 7, 9, 11, 23, 28, 52, 55, 58, 60, 64, 82, 1184, 1717, 1871, 2017, 2034, 2036, 2043, 2046, 2048, 2051, 2057, 2067, 2072, 2077, 2078, 2079, 2082, 2100, 2103, 2111], "look": [3, 4, 7, 8, 9, 12, 15, 28, 35, 46, 47, 52, 53, 57, 60, 64, 66, 76, 77, 488, 866, 912, 914, 990, 1186, 1197, 1273, 1368, 1431, 1527, 1624, 1750, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1791, 1794, 1795, 1796, 1797, 1798, 1910, 1911, 1912, 1914, 1915, 2014, 2016, 2021, 2034, 2042, 2043, 2046, 2050, 2056, 2057, 2059, 2063, 2067, 2070, 2072, 2077, 2078, 2093, 2098, 2099, 2100, 2101, 2104, 2105, 2106, 2107, 2110, 2111, 2112, 2113, 2115], "autom": [3, 8, 64, 2014, 2072, 2095, 2104, 2113], "easili": [3, 7, 8, 11, 24, 28, 30, 33, 52, 1167, 1534, 1633, 1672, 1798, 1856, 1966, 2029, 2049, 2050, 2054, 2057, 2062, 2069, 2076, 2077, 2079, 2087, 2104, 2112, 2113], "exclus": [3, 23, 28, 35, 37, 47, 52, 55, 64, 738, 1236, 1717, 1838, 1839, 1842, 2043, 2089], "basi": [3, 9, 10, 35, 683, 1346, 1803, 2046, 2056, 2072, 2077], "thought": [3, 44, 64, 1127, 1129, 1145, 1192, 2101], "path_and_function_nam": 3, "children": [3, 33, 40, 55, 64, 794, 1273, 1527, 2033, 2052, 2057, 2070, 2079], "identifi": [3, 7, 9, 28, 30, 37, 41, 44, 47, 48, 50, 64, 488, 820, 1236, 1345, 1567, 2018, 2021, 2033, 2044, 2056, 2057, 2070, 2077, 2078, 2079, 2087, 2100, 2111], "hot": [3, 35, 1635, 1671, 2054, 2098], "spot": [3, 1724, 1725], "_data": 3, "truncate_row": 3, "_linewidth": 3, "subtract": [3, 315, 566, 869, 1163, 1635, 1910, 1911, 1912, 1914, 1915, 1925, 2015, 2036, 2068, 2082], "index": [3, 15, 19, 23, 24, 28, 30, 33, 35, 45, 52, 64, 193, 210, 283, 314, 315, 316, 317, 318, 319, 321, 323, 324, 473, 474, 514, 515, 516, 517, 518, 519, 520, 521, 698, 699, 820, 858, 881, 896, 898, 909, 910, 941, 960, 1027, 1030, 1088, 1089, 1129, 1170, 1171, 1172, 1176, 1178, 1214, 1245, 1246, 1247, 1248, 1271, 1290, 1295, 1303, 1321, 1339, 1353, 1361, 1363, 1367, 1371, 1374, 1375, 1376, 1379, 1401, 1404, 1413, 1419, 1422, 1423, 1431, 1446, 1462, 1469, 1470, 1528, 1529, 1534, 1537, 1538, 1577, 1579, 1624, 1625, 1671, 1743, 1745, 1752, 1753, 1758, 1771, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1812, 1813, 1828, 1860, 1861, 1862, 1863, 1865, 1866, 1867, 1896, 1907, 1908, 1910, 1911, 1912, 1914, 1915, 1924, 1939, 1960, 1961, 1963, 1964, 1965, 1968, 1977, 1985, 1987, 2013, 2014, 2015, 2017, 2024, 2033, 2034, 2035, 2036, 2043, 2046, 2048, 2050, 2055, 2061, 2068, 2079, 2081, 2082, 2085, 2086, 2087, 2088, 2089, 2103, 2104, 2108, 2113], "cpython": [3, 52, 64, 2094, 2102], "known": [3, 7, 9, 22, 27, 28, 32, 41, 47, 53, 56, 59, 61, 66, 76, 77, 1173, 1174, 1188, 1289, 1290, 1345, 1454, 1455, 1456, 1457, 1458, 1459, 1473, 1497, 1543, 1557, 1559, 1579, 1644, 1688, 1707, 1883, 1884, 1929, 1943, 2013, 2015, 2019, 2021, 2030, 2033, 2036, 2041, 2043, 2045, 2061, 2067, 2069, 2077, 2079, 2083, 2094, 2100, 2105, 2113], "quit": [3, 7, 64, 1724, 1725, 2017, 2049, 2051, 2070, 2077, 2111], "noisi": 3, "higher": [3, 7, 8, 24, 28, 55, 56, 61, 66, 71, 75, 152, 897, 899, 918, 1014, 1054, 1065, 1101, 1168, 1174, 1178, 1182, 1198, 1201, 1234, 1250, 1420, 1462, 1519, 1534, 1685, 1782, 1828, 1929, 1977, 1983, 2013, 2021, 2046, 2049, 2050, 2054, 2056, 2062, 2072, 2073, 2077, 2085, 2100], "filter": [3, 20, 546, 775, 776, 777, 1270, 1293, 1454, 1455, 1456, 1457, 1458, 1459, 1608, 1609, 1610, 1611, 1612, 1613, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 1924, 2017, 2070, 2113], "transform": [3, 12, 23, 30, 33, 34, 52, 55, 60, 62, 81, 82, 83, 417, 784, 800, 841, 842, 861, 862, 967, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1146, 1166, 1167, 1168, 1172, 1177, 1195, 1270, 1283, 1444, 1481, 1489, 1490, 1491, 1499, 1514, 1556, 1572, 1573, 1574, 1575, 1598, 1604, 1633, 1650, 1670, 1707, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1794, 1795, 1796, 1797, 1798, 1891, 1924, 2013, 2025, 2050, 2052, 2053, 2065, 2072, 2082, 2087, 2093, 2094, 2095, 2102, 2106], "rather": [3, 8, 9, 14, 28, 37, 40, 50, 52, 55, 64, 66, 75, 782, 788, 936, 966, 1271, 1274, 1345, 1423, 1598, 1633, 1644, 1704, 1732, 1871, 1875, 2014, 2017, 2035, 2036, 2044, 2046, 2049, 2050, 2067, 2070, 2072, 2077, 2082, 2087, 2098, 2099, 2101, 2103, 2104, 2105, 2106], "unicod": [3, 2018], "dictionari": [3, 14, 23, 24, 30, 33, 35, 59, 64, 417, 683, 795, 796, 797, 800, 818, 819, 820, 841, 842, 843, 858, 862, 868, 943, 976, 1065, 1166, 1176, 1181, 1188, 1273, 1274, 1281, 1285, 1289, 1290, 1345, 1346, 1469, 1470, 1527, 1528, 1537, 1624, 1748, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1791, 1794, 1795, 1796, 1797, 1798, 1991, 2016, 2018, 2049, 2057, 2065, 2067, 2069, 2077, 2087, 2092, 2109, 2114, 2115], "lookup": [3, 30, 35, 47, 1469, 1624, 2014, 2018, 2045, 2078, 2107], "map": [3, 14, 28, 30, 35, 37, 44, 45, 47, 48, 52, 53, 55, 60, 61, 64, 66, 75, 82, 687, 738, 795, 796, 800, 802, 817, 818, 820, 842, 843, 858, 859, 860, 861, 862, 868, 889, 957, 1161, 1167, 1178, 1184, 1186, 1188, 1193, 1227, 1236, 1281, 1284, 1345, 1346, 1457, 1458, 1459, 1465, 1466, 1467, 1471, 1473, 1523, 1524, 1525, 1528, 1537, 1619, 1620, 1621, 1626, 1731, 1748, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1791, 1794, 1795, 1796, 1797, 1798, 1828, 1830, 1961, 1962, 1977, 2018, 2029, 2035, 2037, 2043, 2046, 2048, 2049, 2050, 2058, 2063, 2065, 2070, 2072, 2075, 2077, 2078, 2079, 2084, 2089, 2102, 2103, 2112, 2114], "agnost": [3, 16, 47, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1633, 1724, 1725, 2021, 2035], "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, 687, 696, 698, 699, 702, 763, 889, 922, 923, 924, 963, 970, 974, 1013, 1023, 1025, 1053, 1066, 1101, 1107, 1109, 1155, 1156, 1176, 1178, 1190, 1237, 1273, 1281, 1289, 1291, 1295, 1329, 1345, 1361, 1371, 1373, 1374, 1376, 1379, 1397, 1418, 1421, 1423, 1478, 1497, 1527, 1543, 1580, 1671, 1710, 1717, 1732, 1758, 1765, 1766, 1770, 1772, 1825, 1849, 1865, 1868, 1901, 1913, 1920, 1922, 1923, 1927, 1950, 1972, 1973, 1977, 1978, 2013, 2014, 2016, 2017, 2018, 2019, 2021, 2024, 2033, 2036, 2046, 2049, 2052, 2057, 2060, 2063, 2065, 2070, 2077, 2079, 2082, 2084, 2085, 2089, 2099, 2101, 2103, 2111, 2112, 2115, 2117], "filter_fn": 3, "map_fn": 3, "coalesc": [3, 325, 330, 546, 616, 1022, 1909, 1913, 1960, 2015, 2048, 2068, 2082, 2104], "entri": [3, 19, 28, 29, 32, 35, 37, 38, 45, 47, 48, 317, 738, 862, 863, 936, 1051, 1052, 1099, 1150, 1151, 1248, 1273, 1294, 1469, 1470, 1527, 1533, 1624, 1625, 1743, 1744, 1752, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1791, 1794, 1795, 1796, 1797, 1798, 1799, 1800, 1801, 1802, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1812, 1813, 1907, 2014, 2017, 2018, 2024, 2036, 2043, 2048, 2049, 2054, 2057, 2062, 2075, 2082, 2087, 2092, 2099, 2100, 2101, 2102], "color": [3, 1491, 2016, 2017, 2087, 2105], "rowwis": [3, 34], "columnwis": 3, "extend_result": 3, "highlight_warn": 3, "highlight": [3, 53, 733, 734, 2017], "trim_significant_figur": 3, "trim": [3, 945, 954, 1125, 1126, 1128, 1130, 1131, 1132, 1133, 1134, 1135, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1146, 1231, 1232, 1270], "h": [4, 10, 14, 33, 35, 489, 490, 744, 745, 746, 763, 968, 969, 1303, 1310, 1313, 1323, 1337, 1429, 1430, 1437, 1438, 1440, 1442, 1443, 1447, 1455, 1456, 1458, 1466, 1467, 1469, 1471, 1478, 1479, 1490, 1491, 1497, 1498, 1499, 1510, 1511, 1521, 1522, 1539, 1540, 1543, 1545, 1562, 1578, 1581, 1582, 1598, 1606, 1633, 1669, 1675, 1676, 1731, 1732, 1766, 1778, 1817, 1928, 1929, 2015, 2034, 2035, 2043, 2046, 2048, 2049, 2051, 2054, 2067, 2086, 2087, 2088, 2095, 2100, 2110], "finit": [4, 35, 923, 924, 1262, 1263, 1309, 1310, 1320, 1321, 1337, 1363, 1413, 1417, 1439, 1928, 2049, 2054, 2089], "natur": [4, 7, 8, 11, 30, 35, 55, 66, 68, 86, 923, 924, 1302, 1307, 1333, 1347, 1349, 1354, 1431, 1575, 1685, 2052, 2054, 2064, 2065, 2082, 2083], "against": [4, 5, 14, 28, 37, 47, 797, 869, 923, 924, 1137, 1138, 1139, 1143, 1144, 1146, 1214, 1264, 1273, 1289, 1290, 1527, 1533, 1779, 2012, 2017, 2070, 2093, 2101, 2110], "cprofil": 4, "mode": [4, 8, 23, 24, 28, 30, 35, 47, 50, 52, 60, 61, 64, 81, 223, 224, 490, 749, 750, 775, 776, 777, 782, 788, 789, 790, 818, 820, 826, 829, 863, 864, 893, 895, 899, 902, 903, 904, 909, 910, 912, 913, 914, 915, 919, 920, 921, 923, 976, 981, 1009, 1042, 1083, 1084, 1113, 1125, 1126, 1128, 1130, 1131, 1132, 1133, 1134, 1135, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1146, 1167, 1170, 1171, 1172, 1173, 1176, 1177, 1182, 1187, 1221, 1256, 1257, 1271, 1273, 1274, 1277, 1289, 1291, 1332, 1345, 1375, 1389, 1390, 1410, 1441, 1442, 1443, 1454, 1455, 1456, 1470, 1481, 1489, 1490, 1491, 1499, 1500, 1501, 1502, 1509, 1510, 1511, 1527, 1544, 1567, 1580, 1581, 1608, 1609, 1610, 1625, 1633, 1644, 1672, 1685, 1704, 1705, 1706, 1718, 1726, 1728, 1732, 1737, 1770, 1803, 1811, 1827, 1870, 1872, 1965, 2013, 2015, 2021, 2027, 2034, 2041, 2046, 2048, 2050, 2051, 2052, 2053, 2057, 2064, 2065, 2068, 2071, 2073, 2074, 2075, 2077, 2088, 2091, 2095, 2098, 2102, 2103, 2104, 2105, 2106, 2108, 2113, 2114], "correct": [4, 6, 7, 24, 28, 29, 30, 33, 35, 47, 52, 207, 208, 211, 223, 557, 582, 605, 606, 617, 625, 904, 905, 909, 924, 998, 1130, 1132, 1140, 1141, 1142, 1193, 1248, 1271, 1274, 1289, 1290, 1309, 1463, 1480, 1492, 1707, 1717, 1758, 1874, 1922, 1923, 1972, 1973, 2014, 2015, 2016, 2021, 2025, 2034, 2035, 2046, 2049, 2054, 2084, 2101, 2108, 2112], "launch": [4, 14, 23, 31, 33, 37, 39, 40, 45, 46, 47, 51, 63, 1012, 1717, 2013, 2043, 2045, 2046, 2048, 2049, 2077, 2098, 2106], "spent": [4, 28, 937, 1809, 2045, 2057, 2104, 2111, 2113], "appear": [4, 24, 28, 35, 52, 53, 64, 858, 1054, 1109, 1150, 1151, 1178, 1345, 1379, 1381, 1718, 1849, 1877, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 1977, 2014, 2017, 2034, 2035, 2049, 2050, 2057, 2067, 2070, 2101, 2104, 2111], "extrem": [4, 28, 1717, 2043, 2067, 2103], "expens": [4, 23, 35, 55, 1731, 2046, 2054, 2056, 2071, 2077, 2088, 2100, 2104, 2107, 2110, 2113], "bound": [4, 15, 24, 28, 52, 55, 483, 798, 960, 971, 1123, 1124, 1181, 1188, 1192, 1197, 1273, 1436, 1437, 1438, 1520, 1521, 1522, 1527, 1546, 1633, 1811, 1842, 1863, 2017, 2018, 2041, 2043, 2052, 2070, 2072, 2083, 2100, 2101, 2103, 2113], "greater": [4, 28, 47, 66, 67, 294, 619, 683, 952, 965, 966, 971, 1125, 1126, 1128, 1130, 1131, 1132, 1133, 1134, 1135, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1146, 1216, 1230, 1328, 1393, 1439, 1576, 1633, 1644, 1671, 1685, 1701, 1704, 1732, 1766, 1811, 1965, 2015, 2043, 2046, 2061, 2068, 2082, 2083], "spend": [4, 7, 19, 33, 1346, 2025, 2107], "sens": [4, 35, 47, 64, 1748, 1961, 1962, 2017, 2043, 2052], "respons": [4, 7, 9, 28, 30, 32, 33, 35, 37, 44, 50, 55, 63, 978, 1012, 1190, 1515, 1651, 1717, 1913, 2043, 2046, 2049, 2050, 2057, 2065, 2077, 2103], "Of": [4, 1771, 2012, 2048, 2049, 2094, 2101, 2104], "cours": [4, 19, 64, 2012, 2048, 2049, 2077, 2101, 2104], "realiti": [4, 2052], "complic": [4, 24, 34, 52, 64, 796, 1871, 2021, 2035, 2044, 2070, 2077, 2079, 2101, 2103], "account": [4, 33, 45, 64, 1440, 1717, 2041, 2045, 2052, 2082, 2098], "heavili": [4, 65, 1787, 2045, 2049, 2070], "similarli": [4, 7, 30, 33, 52, 63, 64, 763, 793, 797, 862, 967, 1129, 1273, 1329, 1527, 1575, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1755, 1953, 1954, 1955, 1956, 2016, 2043, 2049, 2051, 2054, 2060, 2082, 2103, 2106, 2111], "platform": [4, 8, 9, 14, 28, 39, 40, 44, 1320, 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[[1807, "multisteplr"]], "torch.poisson": [[1820, "torch-poisson"]], "OneCycleLR": [[1809, "onecyclelr"]], "torch.rad2deg": [[1835, "torch-rad2deg"]], "torch.orgqr": [[1814, "torch-orgqr"]], "torch.ormqr": [[1815, "torch-ormqr"]], "torch.optim.Optimizer.load_state_dict": [[1790, "torch-optim-optimizer-load-state-dict"]], "torch.optim.Optimizer.zero_grad": [[1793, "torch-optim-optimizer-zero-grad"]], "LambdaLR": [[1805, "lambdalr"]], "LinearLR": [[1806, "linearlr"]], "LBFGS": [[1787, "lbfgs"]], "Adamax": [[1786, "adamax"]], "torch.pow": [[1824, "torch-pow"]], "AdamW": [[1785, "adamw"]], "ChainedScheduler": [[1799, "chainedscheduler"]], "torch.nn.functional.instance_norm": [[1643, "torch-nn-functional-instance-norm"]], "torch.nn.functional.pad": [[1672, "torch-nn-functional-pad"]], "torch.nn.functional.logsigmoid": [[1653, "torch-nn-functional-logsigmoid"]], "torch.nn.functional.grid_sample": [[1633, "torch-nn-functional-grid-sample"]], "torch.nn.functional.hardswish": [[1638, "torch-nn-functional-hardswish"]], "torch.nn.functional.normalize": [[1670, "torch-nn-functional-normalize"]], "torch.nn.functional.glu": [[1632, "torch-nn-functional-glu"]], "torch.nn.functional.hardsigmoid": [[1637, "torch-nn-functional-hardsigmoid"]], "torch.nn.functional.nll_loss": [[1669, "torch-nn-functional-nll-loss"]], "torch.nn.functional.max_unpool2d": [[1662, "torch-nn-functional-max-unpool2d"]], "torch.nn.functional.interpolate": [[1644, "torch-nn-functional-interpolate"]], "torch.nn.functional.pixel_shuffle": [[1675, "torch-nn-functional-pixel-shuffle"]], "torch.nn.functional.one_hot": [[1671, "torch-nn-functional-one-hot"]], "torch.nn.functional.lp_pool1d": [[1654, "torch-nn-functional-lp-pool1d"]], "torch.nn.functional.rms_norm": [[1682, "torch-nn-functional-rms-norm"]], "torch.nn.functional.hardshrink": [[1636, "torch-nn-functional-hardshrink"]], "torch.nn.functional.multilabel_margin_loss": [[1667, "torch-nn-functional-multilabel-margin-loss"]], "torch.nn.functional.lp_pool2d": [[1655, "torch-nn-functional-lp-pool2d"]], "torch.nn.functional.multilabel_soft_margin_loss": [[1668, "torch-nn-functional-multilabel-soft-margin-loss"]], "torch.nn.functional.group_norm": [[1634, "torch-nn-functional-group-norm"]], "torch.nn.functional.gumbel_softmax": [[1635, "torch-nn-functional-gumbel-softmax"]], "torch.nn.functional.pairwise_distance": [[1673, "torch-nn-functional-pairwise-distance"]], "torch.nn.functional.prelu": [[1678, "torch-nn-functional-prelu"]], "torch.nn.functional.huber_loss": [[1642, "torch-nn-functional-huber-loss"]], "torch.nn.functional.relu_": [[1681, "torch-nn-functional-relu"]], "torch.nn.functional.poisson_nll_loss": [[1677, "torch-nn-functional-poisson-nll-loss"]], "torch.nn.functional.hardtanh": [[1639, "torch-nn-functional-hardtanh"]], "torch.nn.functional.pixel_unshuffle": [[1676, "torch-nn-functional-pixel-unshuffle"]], "torch.nn.functional.l1_loss": [[1646, "torch-nn-functional-l1-loss"]], "torch.nn.functional.linear": [[1650, "torch-nn-functional-linear"]], "torch.nn.functional.mse_loss": [[1665, "torch-nn-functional-mse-loss"]], "torch.nn.functional.hardtanh_": [[1640, "torch-nn-functional-hardtanh"]], "torch.nn.functional.relu6": [[1680, "torch-nn-functional-relu6"]], "torch.nn.functional.hinge_embedding_loss": [[1641, "torch-nn-functional-hinge-embedding-loss"]], "torch.nn.functional.max_unpool1d": [[1661, "torch-nn-functional-max-unpool1d"]], "torch.nn.functional.margin_ranking_loss": [[1657, "torch-nn-functional-margin-ranking-loss"]], "torch.nn.functional.max_pool3d": [[1660, "torch-nn-functional-max-pool3d"]], "torch.nn.functional.lp_pool3d": [[1656, "torch-nn-functional-lp-pool3d"]], "torch.nn.functional.mish": [[1664, "torch-nn-functional-mish"]], "torch.nn.functional.max_unpool3d": [[1663, "torch-nn-functional-max-unpool3d"]], "torch.nn.functional.leaky_relu": [[1648, "torch-nn-functional-leaky-relu"]], "torch.nn.functional.max_pool1d": [[1658, "torch-nn-functional-max-pool1d"]], "torch.nn.functional.relu": [[1679, "torch-nn-functional-relu"]], "torch.nn.functional.max_pool2d": [[1659, "torch-nn-functional-max-pool2d"]], "torch.nn.functional.multi_margin_loss": [[1666, "torch-nn-functional-multi-margin-loss"]], "torch.nn.functional.pdist": [[1674, "torch-nn-functional-pdist"]], "torch.nn.functional.leaky_relu_": [[1649, "torch-nn-functional-leaky-relu"]], "torch.nn.functional.kl_div": [[1645, "torch-nn-functional-kl-div"]], "torch.nn.functional.log_softmax": [[1652, "torch-nn-functional-log-softmax"]], "torch.nn.functional.local_response_norm": [[1651, "torch-nn-functional-local-response-norm"]], "torch.nn.functional.layer_norm": [[1647, "torch-nn-functional-layer-norm"]], "Fake tensor": [[2103, "fake-tensor"]], "Motivation": [[2103, "motivation"], [2100, "motivation"], [2024, "motivation"]], "Related work": [[2103, "related-work"]], "Overall architecture": [[2103, "overall-architecture"], [2100, "overall-architecture"]], "API: the important bits": [[2103, "api-the-important-bits"]], "Details": [[2103, "details"]], "About the tensor subclass": [[2103, "about-the-tensor-subclass"]], "How is each individual operator implemented?": [[2103, "how-is-each-individual-operator-implemented"]], "How does the converter work?": [[2103, "how-does-the-converter-work"]], "Performance characteristics": [[2103, "performance-characteristics"]], "Fake tensor of fake tensor?": [[2103, "fake-tensor-of-fake-tensor"]], "Interaction with dynamic shapes": [[2103, "interaction-with-dynamic-shapes"]], "Other resources": [[2103, "other-resources"]], "torch": [[2091, "module-torch"]], "Tensors": [[2091, "tensors"]], "Creation Ops": [[2091, "creation-ops"]], "Indexing, Slicing, Joining, Mutating Ops": [[2091, "indexing-slicing-joining-mutating-ops"]], "Generators": [[2091, "generators"]], "Random sampling": [[2091, "random-sampling"]], "In-place random sampling": [[2091, "in-place-random-sampling"]], "Quasi-random sampling": [[2091, "quasi-random-sampling"]], "Parallelism": [[2091, "parallelism"]], "Locally disabling gradient computation": [[2091, "locally-disabling-gradient-computation"], [1, "locally-disabling-gradient-computation"], [2043, "locally-disabling-gradient-computation"]], "Math operations": [[2091, "math-operations"]], "Pointwise Ops": [[2091, "pointwise-ops"]], "Reduction Ops": [[2091, "reduction-ops"]], "Comparison Ops": [[2091, "comparison-ops"]], "Spectral Ops": [[2091, "spectral-ops"]], "Other Operations": [[2091, "other-operations"]], "BLAS and LAPACK Operations": [[2091, "blas-and-lapack-operations"]], "Foreach Operations": [[2091, "foreach-operations"]], "Utilities": [[2091, "utilities"], [2037, "module-torch.nn.utils"]], "Symbolic Numbers": [[2091, "symbolic-numbers"]], "Export Path": [[2091, "export-path"]], "Control Flow": [[2091, "control-flow"]], "Optimizations": [[2091, "optimizations"]], "Operator Tags": [[2091, "operator-tags"]], "AOTInductor: Ahead-Of-Time Compilation for Torch.Export-ed Models": [[2095, "aotinductor-ahead-of-time-compilation-for-torch-export-ed-models"]], "Model Compilation": [[2095, "model-compilation"]], "Inference in C++": [[2095, "inference-in-c"]], "Writing Graph Transformations on ATen IR": [[2112, "writing-graph-transformations-on-aten-ir"]], "Passes": [[2112, "passes"]], "Transformer": [[2112, "transformer"], [1571, "transformer"]], "One-to-One Pass": [[2112, "one-to-one-pass"]], "One-to-X Pass": [[2112, "one-to-x-pass"]], "One-to-None Pass": [[2112, "one-to-none-pass"]], "Utilizing Local Information": [[2112, "utilizing-local-information"]], "Subgraph Rewriter": [[2112, "subgraph-rewriter"]], "Pass Manager": [[2112, "pass-manager"]], "Partitioner": [[2112, "partitioner"]], "Subgraph Matcher": [[2112, "subgraph-matcher"]], "Capability Based Partitioner": [[2112, "capability-based-partitioner"]], "torch.utils": [[2119, "module-torch.utils"]], "Dynamo Deep-Dive": [[2101, "dynamo-deep-dive"]], "A Gentle Introduction to Dynamo": [[2101, "a-gentle-introduction-to-dynamo"]], "PEP 523: Adding a frame evaluation API to CPython": [[2101, "pep-523-adding-a-frame-evaluation-api-to-cpython"]], "Implementing CPython in Python": [[2101, "implementing-cpython-in-python"]], "Generating the Output Graph": [[2101, "generating-the-output-graph"]], "Making Dynamo Sound: Guards": [[2101, "making-dynamo-sound-guards"]], "Symbolic Shapes": [[2101, "symbolic-shapes"]], "Static by default": [[2101, "static-by-default"]], "0, 1 are always specialized": [[2101, "are-always-specialized"]], "Duck shaping": [[2101, "duck-shaping"]], "Guards on symbolic ints": [[2101, "guards-on-symbolic-ints"]], "Making Dynamo Complete: Graph Breaks": [[2101, "making-dynamo-complete-graph-breaks"]], "Conclusion": [[2101, "conclusion"]], "Footnotes": [[2101, "footnotes"]], "PyTorch 2.0 NNModule Support": [[2109, "pytorch-2-0-nnmodule-support"]], "NNModule Hooks Support": [[2109, "nnmodule-hooks-support"]], "nn.Module.__call__ Hooks Usage and limitations": [[2109, "nn-module-call-hooks-usage-and-limitations"]], "state_dict Hooks": [[2109, "state-dict-hooks"]], "Understanding CUDA Memory Usage": [[2115, "understanding-cuda-memory-usage"]], "Generating a Snapshot": [[2115, "generating-a-snapshot"]], "Using the visualizer": [[2115, "using-the-visualizer"]], "Active Memory Timeline": [[2115, "active-memory-timeline"]], "Allocator State History": [[2115, "allocator-state-history"]], "Snapshot API Reference": [[2115, "snapshot-api-reference"]], "IRs": [[2108, "irs"]], "Core Aten IR": [[2108, "core-aten-ir"]], "Prims IR": [[2108, "prims-ir"]], "Getting Started": [[2106, "getting-started"], [7, "getting-started"]], "Using a pretrained model": [[2106, "using-a-pretrained-model"]], "Next Steps": [[2106, "next-steps"]], "CUDAGraph Trees": [[2098, "cudagraph-trees"]], "CUDAGraph Background": [[2098, "cudagraph-background"]], "PyTorch CUDAGraph Integration": [[2098, "pytorch-cudagraph-integration"]], "Make Graphed Callables": [[2098, "make-graphed-callables"]], "TorchDynamo Previous CUDA Graphs Integration": [[2098, "torchdynamo-previous-cuda-graphs-integration"]], "CUDAGraph Trees Integration": [[2098, "cudagraph-trees-integration"]], "Limitations": [[2098, "limitations"], [2105, "limitations"], [2067, "limitations"]], "Comparisons": [[2098, "comparisons"], [2017, "comparisons"]], "Dynamic shapes": [[2100, "dynamic-shapes"]], "Abridged public API": [[2100, "abridged-public-api"]], "The Guard Model": [[2100, "the-guard-model"]], "Abridged internal API": [[2100, "abridged-internal-api"]], "DimDynamic policy": [[2100, "dimdynamic-policy"]], "Unbacked SymInts": [[2100, "unbacked-symints"]], "PYTORCH ProcessGroupNCCL Environment Variables": [[2117, "pytorch-processgroupnccl-environment-variables"]], "torch.ao.ns._numeric_suite_fx": [[2093, "torch-ao-ns-numeric-suite-fx"]], "torch.ao.ns.fx.utils": [[2093, "torch-ao-ns-fx-utils"]], "Torch Environment Variables": [[2116, "torch-environment-variables"]], "Best Practices for Backends": [[2097, "best-practices-for-backends"]], "x86 CPU": [[2097, "x86-cpu"]], "TorchInductor GPU Profiling": [[2107, "torchinductor-gpu-profiling"]], "Relevant Environment Variables": [[2107, "relevant-environment-variables"]], "Breakdown Model GPU Time": [[2107, "breakdown-model-gpu-time"]], "Benchmark Individual Triton Kernel": [[2107, "benchmark-individual-triton-kernel"]], "Profiling to understand torch.compile performance": [[2111, "profiling-to-understand-torch-compile-performance"]], "What to use torch.profiler for:": [[2111, "what-to-use-torch-profiler-for"]], "Basics of using torch.profiler and viewing traces": [[2111, "basics-of-using-torch-profiler-and-viewing-traces"]], "Working around CUDA Graph profiling issues": [[2111, "working-around-cuda-graph-profiling-issues"]], "Understanding compilation time": [[2111, "understanding-compilation-time"]], "Finding graph breaks: \u201cTorch-Compiled Region\u201d and \u201cCompiledFunction\u201d": [[2111, "finding-graph-breaks-torch-compiled-region-and-compiledfunction"]], "Operator Kernels": [[2111, "operator-kernels"]], "Launch overhead": [[2111, "launch-overhead"]], "PyTorch 2.0 Performance Dashboard": [[2110, "pytorch-2-0-performance-dashboard"]], "How to read the dashboard?": [[2110, "how-to-read-the-dashboard"]], "What is measured on the dashboard?": [[2110, "what-is-measured-on-the-dashboard"]], "Can I check if my PR affects TorchInductor\u2019s performance on the dashboard before merging?": [[2110, "can-i-check-if-my-pr-affects-torchinductor-s-performance-on-the-dashboard-before-merging"]], "How can I run any performance test locally?": [[2110, "how-can-i-run-any-performance-test-locally"]], "torch.compiler": [[2094, "torch-compiler"]], "Getting Started for PyTorch Users": [[2094, null]], "HowTo for PyTorch Backend Vendors": [[2094, null]], "torch.compiler API reference": [[2096, "torch-compiler-api-reference"]], "torch.ao.ns._numeric_suite": [[2092, "torch-ao-ns-numeric-suite"]], "Type Info": [[2118, "type-info"]], "torch.finfo": [[2118, "torch-finfo"]], "torch.iinfo": [[2118, "torch-iinfo"]], "torch.overrides": [[2114, "module-torch.overrides"]], "Functions": [[2114, "functions"], [2016, "functions"], [2014, "functions"], [2083, "functions"], [2067, "functions"]], "Custom Backends": [[2099, "custom-backends"]], "Registering Custom Backends": [[2099, "registering-custom-backends"]], "Custom Backends after AOTAutograd": [[2099, "custom-backends-after-aotautograd"]], "Examples": [[2099, "examples"], [42, "examples"], [12, "examples"], [2053, "examples"]], "Debugging Backend": [[2099, "debugging-backend"]], "Speedy Backend": [[2099, "speedy-backend"]], "Composable Backends": [[2099, "composable-backends"]], "torch.xpu": [[2120, "module-torch.xpu"]], "Random Number Generator": [[2120, "random-number-generator"], [17, "random-number-generator"]], "Streams and events": [[2120, "streams-and-events"], [2032, "streams-and-events"], [16, "streams-and-events"], [17, "streams-and-events"]], "PyTorch 2.0 Troubleshooting": [[2113, "pytorch-2-0-troubleshooting"]], "Title": [[2113, "id1"]], "Diagnosing Runtime Errors": [[2113, "diagnosing-runtime-errors"]], "Torchdynamo Errors": [[2113, "torchdynamo-errors"]], "Diagnosing TorchInductor Errors": [[2113, "diagnosing-torchinductor-errors"]], "Minifying TorchInductor Errors": [[2113, "minifying-torchinductor-errors"]], "Minifying Backend Compiler Errors": [[2113, "minifying-backend-compiler-errors"]], "Performance Profiling": [[2113, "performance-profiling"]], "Accessing TorchDynamo Profiler": [[2113, "accessing-torchdynamo-profiler"]], "TorchInductor Debugging using TORCH_COMPILE_DEBUG": [[2113, "torchinductor-debugging-using-torch-compile-debug"]], "Identifying the Cause of a Graph Break": [[2113, "identifying-the-cause-of-a-graph-break"]], "Excessive Recompilation": [[2113, "excessive-recompilation"]], "Accuracy Debugging": [[2113, "accuracy-debugging"]], "Extended Debugging": [[2113, "extended-debugging"]], "Cold Start Timing and Cache Corruption Debugging": [[2113, "cold-start-timing-and-cache-corruption-debugging"]], "Frequently Asked Questions": [[2104, "frequently-asked-questions"], [2014, "frequently-asked-questions"], [7, "frequently-asked-questions"], [2072, "frequently-asked-questions"], [2051, "frequently-asked-questions"], [2067, "frequently-asked-questions"]], "Does torch.compile support training?": [[2104, "does-torch-compile-support-training"]], "Do you support Distributed code?": [[2104, "do-you-support-distributed-code"]], "Do I still need to export whole graphs?": [[2104, "do-i-still-need-to-export-whole-graphs"]], "Why is my code crashing?": [[2104, "why-is-my-code-crashing"]], "Why is compilation slow?": [[2104, "why-is-compilation-slow"]], "Why are you recompiling in production?": [[2104, "why-are-you-recompiling-in-production"]], "How are you speeding up my code?": [[2104, "how-are-you-speeding-up-my-code"]], "Why am I not seeing speedups?": [[2104, "why-am-i-not-seeing-speedups"]], "Identifying the cause of a graph break": [[2104, "identifying-the-cause-of-a-graph-break"]], "Why didn\u2019t my code recompile when I changed it?": [[2104, "why-didnt-my-code-recompile-when-i-changed-it"]], "Why am I getting incorrect results?": [[2104, "why-am-i-getting-incorrect-results"]], "Why am I getting OOMs?": [[2104, "why-am-i-getting-ooms"]], "Does torch.func work with torch.compile (for grad and vmap transforms)?": [[2104, "does-torch-func-work-with-torch-compile-for-grad-and-vmap-transforms"]], "Calling torch.func transform inside of a function handled with torch.compile": [[2104, "calling-torch-func-transform-inside-of-a-function-handled-with-torch-compile"]], "Compiling torch.func.grad with torch.compile": [[2104, "compiling-torch-func-grad-with-torch-compile"]], "Compiling torch.vmap with torch.compile": [[2104, "compiling-torch-vmap-with-torch-compile"]], "Compiling functions besides the ones which are supported (escape hatch)": [[2104, "compiling-functions-besides-the-ones-which-are-supported-escape-hatch"]], "Does NumPy work with torch.compile?": [[2104, "does-numpy-work-with-torch-compile"]], "Which NumPy features does torch.compile support?": [[2104, "which-numpy-features-does-torch-compile-support"]], "Can I compile NumPy code using torch.compile?": [[2104, "can-i-compile-numpy-code-using-torch-compile"]], "Can I execute NumPy code on CUDA and compute gradients via torch.compile?": [[2104, "can-i-execute-numpy-code-on-cuda-and-compute-gradients-via-torch-compile"]], "How do I debug NumPy code under torch.compile?": [[2104, "how-do-i-debug-numpy-code-under-torch-compile"]], "I torch.compile some NumPy code and I did not see any speed-up.": [[2104, "i-torch-compile-some-numpy-code-and-i-did-not-see-any-speed-up"]], "Which API to use for fine grain tracing?": [[2104, "which-api-to-use-for-fine-grain-tracing"]], "How do I graph break on a function?": [[2104, "how-do-i-graph-break-on-a-function"]], "What\u2019s the difference between torch._dynamo.disable and torch._dynamo.disallow_in_graph": [[2104, "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": [[2104, "what-s-the-difference-between-torch-dynamo-disable-and-torch-dynamo-skip"]], "TorchDynamo APIs for fine-grained tracing": [[2105, "torchdynamo-apis-for-fine-grained-tracing"]], "TorchDynamo APIs to control fine-grained tracing": [[2105, "id1"]], "torch.compiler.disable": [[2105, "torch-compiler-disable"], [982, "torch-compiler-disable"]], "torch._dynamo.disallow_in_graph": [[2105, "torch-dynamo-disallow-in-graph"]], "torch.compiler.allow_in_graph": [[2105, "torch-compiler-allow-in-graph"], [978, "torch-compiler-allow-in-graph"]], "Dynamo Overview": [[2102, "dynamo-overview"]], "Dynamo Internals": [[2102, "dynamo-internals"]], "What is a guard?": [[2102, 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"TorchScript Type System Definition": [[2017, "torchscript-type-system-definition"]], "Unsupported Typing Constructs": [[2017, "unsupported-typing-constructs"], [2016, "unsupported-typing-constructs"]], "Expressions": [[2017, "expressions"], [2016, "expressions"]], "Arithmetic Conversions": [[2017, "arithmetic-conversions"]], "Atoms": [[2017, "atoms"]], "Identifiers": [[2017, "identifiers"]], "Literals": [[2017, "literals"], [2016, "literals"]], "Parenthesized Forms": [[2017, "parenthesized-forms"]], "List and Dictionary Displays": [[2017, "list-and-dictionary-displays"]], "Primaries": [[2017, "primaries"]], "Attribute References": [[2017, "attribute-references"]], "Subscriptions": [[2017, "subscriptions"]], "Slicings": [[2017, "slicings"]], "Calls": [[2017, "calls"]], "Power Operator": [[2017, "power-operator"]], "Unary and Arithmetic Bitwise Operations": [[2017, "unary-and-arithmetic-bitwise-operations"]], "Binary Arithmetic Operations": [[2017, "binary-arithmetic-operations"]], "Shifting Operations": [[2017, "shifting-operations"]], "Binary Bitwise Operations": [[2017, "binary-bitwise-operations"]], "Value Comparisons": [[2017, "value-comparisons"]], "Membership Test Operations": [[2017, "membership-test-operations"]], "Identity Comparisons": [[2017, "identity-comparisons"]], "Boolean Operations": [[2017, "boolean-operations"]], "Conditional Expressions": [[2017, "conditional-expressions"]], "Expression Lists": [[2017, "expression-lists"]], "Simple Statements": [[2017, "simple-statements"]], "Expression Statements": [[2017, "expression-statements"]], "Assignment Statements": [[2017, "assignment-statements"]], "Augmented Assignment Statements": [[2017, "augmented-assignment-statements"]], "Annotated Assignment Statements": [[2017, "annotated-assignment-statements"]], "The raise Statement": [[2017, "the-raise-statement"]], "The assert Statement": [[2017, "the-assert-statement"]], "The return Statement": [[2017, "the-return-statement"]], "The del Statement": 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"Statements": [[2016, "statements"]], "Simple Assignments": [[2016, "simple-assignments"]], "Pattern Matching Assignments": [[2016, "pattern-matching-assignments"]], "Print Statements": [[2016, "print-statements"]], "If Statements": [[2016, "if-statements"]], "While Loops": [[2016, "while-loops"]], "For loops with range": [[2016, "for-loops-with-range"]], "For loops over tuples": [[2016, "for-loops-over-tuples"]], "For loops over constant nn.ModuleList": [[2016, "for-loops-over-constant-nn-modulelist"]], "Break and Continue": [[2016, "break-and-continue"]], "Return": [[2016, "return"]], "Variable Resolution": [[2016, "variable-resolution"]], "Use of Python Values": [[2016, "use-of-python-values"]], "Attribute Lookup On Python Modules": [[2016, "attribute-lookup-on-python-modules"]], "Python-defined Constants": [[2016, "python-defined-constants"]], "Module Attributes": [[2016, "module-attributes"]], "TorchScript Builtins": [[2015, "torchscript-builtins"]], "Supported Tensor Methods": 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"submodules"]], "device_of": [[1989, "device-of"], [1032, "device-of"]], "torch.xpu.initial_seed": [[1997, "torch-xpu-initial-seed"]], "torch.xpu.seed": [[2002, "torch-xpu-seed"]], "Multiprocessing package - torch.multiprocessing": [[2033, "module-torch.multiprocessing"]], "Strategy management": [[2033, "strategy-management"]], "Sharing CUDA tensors": [[2033, "sharing-cuda-tensors"]], "Sharing strategies": [[2033, "sharing-strategies"]], "File descriptor - file_descriptor": [[2033, "file-descriptor-file-descriptor"]], "File system - file_system": [[2033, "file-system-file-system"]], "Spawning subprocesses": [[2033, "spawning-subprocesses"]], "torch.masked": [[2024, "torch-masked"]], "What is a MaskedTensor?": [[2024, "what-is-a-maskedtensor"]], "Supported Operators": [[2024, "supported-operators"]], "Unary Operators": [[2024, "unary-operators"]], "Binary Operators": [[2024, "binary-operators"]], "Reductions": [[2024, "reductions"]], "View and select functions": [[2024, "view-and-select-functions"]], "torch.utils.module_tracker": [[2029, "module-torch.utils.module_tracker"]], "torch.xpu.is_initialized": [[1999, "torch-xpu-is-initialized"]], "torch.zeros": [[2010, "torch-zeros"]], "TorchScript Unsupported PyTorch Constructs": [[2019, "torchscript-unsupported-pytorch-constructs"]], "Torch and Tensor Unsupported Attributes": [[2019, "torch-and-tensor-unsupported-attributes"]], "Unsupported Tensor Methods": [[2019, "unsupported-tensor-methods"]], "Unsupported Tensor Properties": [[2019, "unsupported-tensor-properties"]], "Functions Not Correctly Bound on Torch": [[2019, "functions-not-correctly-bound-on-torch"]], "Ops With Divergent Schemas Between Torch & Python": [[2019, "ops-with-divergent-schemas-between-torch-python"]], "PyTorch Unsupported Modules and Classes": [[2019, "pytorch-unsupported-modules-and-classes"]], "torch.xpu.get_device_properties": [[1993, "torch-xpu-get-device-properties"]], "torch.nested": [[2036, "module-torch.nested"]], "Construction": [[2036, "construction"], [2082, "construction"]], "size": [[2036, "size"]], "unbind": [[2036, "unbind"]], "Nested tensor constructor and conversion functions": [[2036, "nested-tensor-constructor-and-conversion-functions"]], "Supported operations": [[2036, "supported-operations"], [2082, "supported-operations"]], "torch.xpu.manual_seed": [[2000, "torch-xpu-manual-seed"]], "torch.xpu.seed_all": [[2003, "torch-xpu-seed-all"]], "torch.xpu.get_device_capability": [[1991, "torch-xpu-get-device-capability"]], "torch.utils.model_zoo": [[2028, "torch-utils-model-zoo"]], "torch.xpu.init": [[1996, "torch-xpu-init"]], "TorchScript": [[2014, "torchscript"]], "Creating TorchScript Code": [[2014, "creating-torchscript-code"]], "Mixing Tracing and Scripting": [[2014, "mixing-tracing-and-scripting"]], "TorchScript Language": [[2014, "torchscript-language"]], "Built-in Functions and Modules": [[2014, "built-in-functions-and-modules"]], "PyTorch Functions and Modules": [[2014, 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"torch.xpu.set_device": [[2004, "torch-xpu-set-device"]], "torch.xpu.get_rng_state": [[1994, "torch-xpu-get-rng-state"]], "Python Language Reference Coverage": [[2018, "python-language-reference-coverage"]], "torch.library": [[2021, "module-torch.library"]], "Testing custom ops": [[2021, "testing-custom-ops"]], "Creating new custom ops in Python": [[2021, "creating-new-custom-ops-in-python"]], "Extending custom ops (created from Python or C++)": [[2021, "extending-custom-ops-created-from-python-or-c"]], "Low-level APIs": [[2021, "low-level-apis"]], "Miscellaneous Environment Variables": [[2026, "miscellaneous-environment-variables"]], "torch.xpu.set_rng_state": [[2005, "torch-xpu-set-rng-state"]], "Sigmoid": [[1558, "sigmoid"], [762, "sigmoid"]], "MultiMarginLoss": [[1532, "multimarginloss"]], "Unfold": [[1579, "unfold"]], "Tanh": [[1568, "tanh"]], "PReLU": [[1535, "prelu"]], "RReLU": [[1546, "rrelu"]], "Softmax2d": [[1562, "softmax2d"]], "SyncBatchNorm": [[1567, "syncbatchnorm"]], 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"torch.autograd.graph.Node.next_functions": [[927, "torch-autograd-graph-node-next-functions"]], "torch.autograd.profiler.profile.self_cpu_time_total": [[937, "torch-autograd-profiler-profile-self-cpu-time-total"]], "torch.blackman_window": [[954, "torch-blackman-window"]], "torch.autograd.gradcheck.gradcheck": [[923, "torch-autograd-gradcheck-gradcheck"]], "Interval": [[940, "interval"]], "torch.broadcast_to": [[959, "torch-broadcast-to"]], "torch.cdist": [[964, "torch-cdist"]], "torch.cholesky": [[967, "torch-cholesky"]], "torch.autograd.gradcheck.GradcheckError": [[922, "torch-autograd-gradcheck-gradcheckerror"]], "torch.autograd.profiler.load_nvprof": [[933, "torch-autograd-profiler-load-nvprof"]], "torch.bucketize": [[960, "torch-bucketize"]], "torch.bitwise_and": [[948, "torch-bitwise-and"]], "torch.autograd.graph.Node.metadata": [[925, "torch-autograd-graph-node-metadata"]], "torch.block_diag": [[955, "torch-block-diag"]], "set_grad_enabled": [[920, "set-grad-enabled"]], "torch.bitwise_left_shift": [[949, "torch-bitwise-left-shift"]], "torch.cat": [[963, "torch-cat"]], "torch.autograd.profiler.parse_nvprof_trace": [[934, "torch-autograd-profiler-parse-nvprof-trace"]], "torch.ceil": [[965, "torch-ceil"]], "torch.chain_matmul": [[966, "torch-chain-matmul"]], "inference_mode": [[919, "inference-mode"]], "torch.bmm": [[956, "torch-bmm"]], "torch.onnx": [[2064, "torch-onnx"]], "TorchDynamo-based ONNX Exporter": [[2064, "torchdynamo-based-onnx-exporter"], [2065, "torchdynamo-based-onnx-exporter"]], "TorchScript-based ONNX Exporter": [[2064, "torchscript-based-onnx-exporter"], [2067, "torchscript-based-onnx-exporter"]], "Contributing / Developing": [[2064, "contributing-developing"]], "Threading Environment Variables": [[2090, "threading-environment-variables"]], "Quantization": [[2072, "module-torch.ao.quantization"]], "Introduction to Quantization": [[2072, "introduction-to-quantization"]], "Quantization API Summary": [[2072, "quantization-api-summary"]], "Eager Mode Quantization": [[2072, "eager-mode-quantization"]], "Post Training Dynamic Quantization": [[2072, "post-training-dynamic-quantization"]], "Post Training Static Quantization": [[2072, "post-training-static-quantization"]], "Quantization Aware Training for Static Quantization": [[2072, "quantization-aware-training-for-static-quantization"]], "Model Preparation for Eager Mode Static Quantization": [[2072, "model-preparation-for-eager-mode-static-quantization"]], "(Prototype - maintenance mode) FX Graph Mode Quantization": [[2072, "prototype-maintenance-mode-fx-graph-mode-quantization"]], "(Prototype) PyTorch 2 Export Quantization": [[2072, "prototype-pytorch-2-export-quantization"]], "Quantization Stack": [[2072, "quantization-stack"]], "Quantized Model": [[2072, "quantized-model"]], "Quantized Tensor": [[2072, "quantized-tensor"]], "Quantize and Dequantize": [[2072, "quantize-and-dequantize"]], "Quantized Operators/Modules": [[2072, "quantized-operators-modules"]], "Quantized Engine": [[2072, "quantized-engine"]], "Quantization Flow": [[2072, "quantization-flow"]], "Observer and FakeQuantize": [[2072, "observer-and-fakequantize"]], "QConfig": [[2072, "qconfig"], [845, "qconfig"]], "General Quantization Flow": [[2072, "general-quantization-flow"]], "Quantization Support Matrix": [[2072, "quantization-support-matrix"]], "Quantization Mode Support": [[2072, "quantization-mode-support"]], "Quantization Flow Support": [[2072, "quantization-flow-support"]], "Backend/Hardware Support": [[2072, "backend-hardware-support"]], "Note for native CPU backends": [[2072, "note-for-native-cpu-backends"]], "Operator Support": [[2072, "operator-support"]], "Quantization API Reference": [[2072, "quantization-api-reference"], [2075, "quantization-api-reference"]], "Quantization Backend Configuration": [[2072, "quantization-backend-configuration"], [2074, "quantization-backend-configuration"]], "Quantization Accuracy Debugging": [[2072, "quantization-accuracy-debugging"], [2073, "quantization-accuracy-debugging"]], "Quantization Customizations": [[2072, "quantization-customizations"]], "Quantization Custom Module API": [[2072, "quantization-custom-module-api"]], "Best Practices": [[2072, "best-practices"]], "Common Errors": [[2072, "common-errors"]], "Passing a non-quantized Tensor into a quantized kernel": [[2072, "passing-a-non-quantized-tensor-into-a-quantized-kernel"]], "Passing a quantized Tensor into a non-quantized kernel": [[2072, "passing-a-quantized-tensor-into-a-non-quantized-kernel"]], "Saving and Loading Quantized models": [[2072, "saving-and-loading-quantized-models"]], "Symbolic Trace Error when using FX Graph Mode Quantization": [[2072, "symbolic-trace-error-when-using-fx-graph-mode-quantization"]], "torch.sparse": [[2082, "torch-sparse"]], "Why and when to use sparsity": [[2082, "why-and-when-to-use-sparsity"]], "Functionality overview": [[2082, "functionality-overview"]], "Operator overview": [[2082, "operator-overview"]], "Sparse Semi-Structured Tensors": [[2082, "sparse-semi-structured-tensors"]], "Constructing Sparse Semi-Structured Tensors": [[2082, "constructing-sparse-semi-structured-tensors"]], "Sparse Semi-Structured Tensor Operations": [[2082, "sparse-semi-structured-tensor-operations"]], "Accelerating nn.Linear with semi-structured sparsity": [[2082, "accelerating-nn-linear-with-semi-structured-sparsity"]], "Sparse COO tensors": [[2082, "sparse-coo-tensors"]], "Sparse hybrid COO tensors": [[2082, "sparse-hybrid-coo-tensors"]], "Uncoalesced sparse COO tensors": [[2082, "uncoalesced-sparse-coo-tensors"]], "Working with sparse COO tensors": [[2082, "working-with-sparse-coo-tensors"]], "Sparse Compressed Tensors": [[2082, "sparse-compressed-tensors"]], "Sparse CSR Tensor": [[2082, "sparse-csr-tensor"]], "Construction of CSR tensors": [[2082, "construction-of-csr-tensors"]], "CSR Tensor Operations": [[2082, "csr-tensor-operations"]], "Sparse CSC Tensor": [[2082, "sparse-csc-tensor"]], "Construction of CSC tensors": [[2082, "construction-of-csc-tensors"]], "Sparse BSR Tensor": [[2082, "sparse-bsr-tensor"]], "Construction of BSR tensors": [[2082, "construction-of-bsr-tensors"]], "Sparse BSC Tensor": [[2082, "sparse-bsc-tensor"]], "Construction of BSC tensors": [[2082, "construction-of-bsc-tensors"]], "Tools for working with sparse compressed tensors": [[2082, "tools-for-working-with-sparse-compressed-tensors"]], "Construction of sparse compressed tensors": [[2082, "construction-of-sparse-compressed-tensors"]], "Linear Algebra operations": [[2082, "linear-algebra-operations"]], "Tensor methods and sparse": [[2082, "tensor-methods-and-sparse"]], "Torch functions specific to sparse Tensors": [[2082, "torch-functions-specific-to-sparse-tensors"]], "Other functions": [[2082, "other-functions"]], "Unary functions": [[2082, "unary-functions"]], "torch.Storage": [[2084, "torch-storage"]], "Tensor Attributes": [[2085, "tensor-attributes"]], "torch.dtype": [[2085, "torch-dtype"]], "torch.device": [[2085, "torch-device"]], "torch.layout": [[2085, "torch-layout"]], "torch.memory_format": [[2085, "torch-memory-format"]], "CUDA semantics": [[2046, "cuda-semantics"]], "TensorFloat-32 (TF32) on Ampere (and later) devices": [[2046, "tensorfloat-32-tf32-on-ampere-and-later-devices"]], "Reduced Precision Reduction in FP16 GEMMs": [[2046, "reduced-precision-reduction-in-fp16-gemms"]], "Reduced Precision Reduction in BF16 GEMMs": [[2046, "reduced-precision-reduction-in-bf16-gemms"]], "Asynchronous execution": [[2046, "asynchronous-execution"]], "CUDA streams": [[2046, "cuda-streams"]], "Stream semantics of backward passes": [[2046, "stream-semantics-of-backward-passes"]], "BC note: Using grads on the default stream": [[2046, "bc-note-using-grads-on-the-default-stream"]], "Optimizing memory usage with PYTORCH_CUDA_ALLOC_CONF": [[2046, "optimizing-memory-usage-with-pytorch-cuda-alloc-conf"]], "Using custom memory allocators for CUDA": [[2046, "using-custom-memory-allocators-for-cuda"]], "cuBLAS workspaces": [[2046, "cublas-workspaces"]], "cuFFT plan cache": [[2046, "cufft-plan-cache"]], "Just-in-Time Compilation": [[2046, "just-in-time-compilation"]], "Best practices": [[2046, "best-practices"]], "Device-agnostic code": [[2046, "device-agnostic-code"]], "Use pinned memory buffers": [[2046, "use-pinned-memory-buffers"]], "Use nn.parallel.DistributedDataParallel instead of multiprocessing or nn.DataParallel": [[2046, "use-nn-parallel-distributeddataparallel-instead-of-multiprocessing-or-nn-dataparallel"]], "CUDA Graphs": [[2046, "cuda-graphs"]], "Why CUDA Graphs?": [[2046, "why-cuda-graphs"]], "PyTorch API": [[2046, "pytorch-api"]], "Non-constraints": [[2046, "non-constraints"]], "Whole-network capture": [[2046, "whole-network-capture"]], "Partial-network capture": [[2046, "partial-network-capture"]], "Usage with torch.cuda.amp": [[2046, "usage-with-torch-cuda-amp"]], "Usage with multiple streams": [[2046, "usage-with-multiple-streams"]], "Usage with DistributedDataParallel": [[2046, "usage-with-distributeddataparallel"]], "NCCL < 2.9.6": [[2046, "nccl-2-9-6"]], "NCCL >= 2.9.6": [[2046, "id5"]], "Graph memory management": [[2046, "graph-memory-management"]], "Sharing memory across captures": [[2046, "sharing-memory-across-captures"]], "torch.nn.init": [[2041, "torch-nn-init"]], "Reproducibility": [[2061, "reproducibility"]], "Controlling sources of randomness": [[2061, "controlling-sources-of-randomness"]], "PyTorch random number generator": [[2061, "pytorch-random-number-generator"]], "Python": [[2061, "python"]], "Random number generators in other libraries": [[2061, "random-number-generators-in-other-libraries"]], "CUDA convolution benchmarking": [[2061, "cuda-convolution-benchmarking"]], "Avoiding nondeterministic algorithms": [[2061, "avoiding-nondeterministic-algorithms"]], "CUDA convolution determinism": [[2061, "cuda-convolution-determinism"]], "CUDA RNN and LSTM": [[2061, "cuda-rnn-and-lstm"]], "Filling uninitialized memory": [[2061, "filling-uninitialized-memory"]], "DataLoader": [[2061, "dataloader"]], "torch.package": [[2070, "torch-package"]], "Packaging your first model": [[2070, "packaging-your-first-model"]], "How do I\u2026": [[2070, "how-do-i"]], "See what is inside a package?": [[2070, "see-what-is-inside-a-package"]], "Treat the package like a ZIP archive": [[2070, "treat-the-package-like-a-zip-archive"]], "Use the file_structure() API": [[2070, "use-the-file-structure-api"]], "See why a given module was included as a dependency?": [[2070, "see-why-a-given-module-was-included-as-a-dependency"]], "Include arbitrary resources with my package and access them later?": [[2070, "include-arbitrary-resources-with-my-package-and-access-them-later"]], "Customize how a class is packaged?": [[2070, "customize-how-a-class-is-packaged"]], "Test in my source code whether or not it is executing inside a package?": [[2070, "test-in-my-source-code-whether-or-not-it-is-executing-inside-a-package"]], "Patch code into a package?": [[2070, "patch-code-into-a-package"]], "Access package contents from packaged code?": [[2070, "access-package-contents-from-packaged-code"]], "Distinguish between packaged code and non-packaged code?": [[2070, "distinguish-between-packaged-code-and-non-packaged-code"]], "Re-export an imported object?": [[2070, "re-export-an-imported-object"]], "Package a TorchScript module?": [[2070, "package-a-torchscript-module"]], "Explanation": [[2070, "explanation"]], "torch.package Format Overview": [[2070, "torch-package-format-overview"]], "Framework files": [[2070, "framework-files"]], "User files": [[2070, "user-files"]], "How torch.package finds your code\u2019s dependencies": [[2070, "how-torch-package-finds-your-code-s-dependencies"]], "Analyzing an object\u2019s dependencies": [[2070, "analyzing-an-object-s-dependencies"]], "Analyzing a module\u2019s dependencies": [[2070, "analyzing-a-module-s-dependencies"]], "Dependency Management": [[2070, "dependency-management"]], "intern": [[2070, "intern"]], "extern": [[2070, "extern"]], "mock": [[2070, "mock"]], "Refactoring": [[2070, "refactoring"]], "Patterns": [[2070, "patterns"]], "torch.package sharp edges": [[2070, "torch-package-sharp-edges"]], "Avoid global state in your modules": [[2070, "avoid-global-state-in-your-modules"]], "Types are not shared between packages and the loading environment": [[2070, "types-are-not-shared-between-packages-and-the-loading-environment"]], "How torch.package keeps packages isolated from each other": [[2070, "how-torch-package-keeps-packages-isolated-from-each-other"]], "Mangling": [[2070, "mangling"]], "torch.special": [[2083, "torch-special"]], "PyTorch Custom Operators Landing Page": [[2047, "pytorch-custom-operators-landing-page"]], "Windows FAQ": [[2063, "windows-faq"]], "Building from source": [[2063, "building-from-source"]], "Include optional components": [[2063, "include-optional-components"]], "Speeding CUDA build for Windows": [[2063, "speeding-cuda-build-for-windows"]], "One key install script": [[2063, "one-key-install-script"]], "Extension": [[2063, "extension"]], "CFFI Extension": [[2063, "cffi-extension"]], "Cpp Extension": [[2063, "cpp-extension"]], "Installation": [[2063, "installation"]], "Package not found in win-32 channel.": [[2063, "package-not-found-in-win-32-channel"]], "Import error": [[2063, "import-error"]], "Usage (multiprocessing)": [[2063, "usage-multiprocessing"]], "Multiprocessing error without if-clause protection": [[2063, "multiprocessing-error-without-if-clause-protection"]], "Multiprocessing error \u201cBroken pipe\u201d": [[2063, "multiprocessing-error-broken-pipe"]], "Multiprocessing error \u201cdriver shut down\u201d": [[2063, "multiprocessing-error-driver-shut-down"]], "CUDA IPC operations": [[2063, "cuda-ipc-operations"]], "torch.optim": [[2069, "module-torch.optim"]], "How to use an optimizer": [[2069, "how-to-use-an-optimizer"]], "Constructing it": [[2069, "constructing-it"]], "Per-parameter options": [[2069, "per-parameter-options"]], "Taking an optimization step": [[2069, "taking-an-optimization-step"]], "optimizer.step()": [[2069, "optimizer-step"]], "optimizer.step(closure)": [[2069, "optimizer-step-closure"]], "Base class": [[2069, "base-class"]], "Algorithms": [[2069, "algorithms"]], "How to adjust learning rate": [[2069, "how-to-adjust-learning-rate"]], "Weight Averaging (SWA and EMA)": [[2069, "weight-averaging-swa-and-ema"]], "Constructing averaged models": [[2069, "constructing-averaged-models"]], "Custom averaging strategies": [[2069, "custom-averaging-strategies"]], "SWA learning rate schedules": [[2069, "swa-learning-rate-schedules"]], "Taking care of batch normalization": [[2069, "taking-care-of-batch-normalization"]], "Putting it all together: SWA": [[2069, "putting-it-all-together-swa"]], "Putting it all together: EMA": [[2069, "putting-it-all-together-ema"]], "Data insensitive error": [[2073, "data-insensitive-error"]], "General tips": [[2073, "general-tips"]], "Int8 quantization tips": [[2073, "int8-quantization-tips"]], "Data sensitive error": [[2073, "data-sensitive-error"]], "Implementation error": [[2073, "implementation-error"]], "Numerical Debugging Tooling (prototype)": [[2073, "numerical-debugging-tooling-prototype"]], "Serialization semantics": [[2062, "serialization-semantics"]], "Table of Contents": [[2062, "table-of-contents"]], "Saving and loading tensors": [[2062, "saving-and-loading-tensors"]], "Saving and loading tensors preserves views": [[2062, "saving-and-loading-tensors-preserves-views"]], "Saving and loading torch.nn.Modules": [[2062, "saving-and-loading-torch-nn-modules"]], "Serialized file format for torch.save": [[2062, "serialized-file-format-for-torch-save"]], "Serializing torch.nn.Modules and loading them in C++": [[2062, "serializing-torch-nn-modules-and-loading-them-in-c"]], "Saving and loading ScriptModules across PyTorch versions": [[2062, "saving-and-loading-scriptmodules-across-pytorch-versions"]], "torch.div performing integer division": [[2062, "torch-div-performing-integer-division"]], "torch.full always inferring a float dtype": [[2062, "torch-full-always-inferring-a-float-dtype"]], "Utility functions": [[2062, "utility-functions"], [2075, "utility-functions"]], "FSDP Notes": [[2052, "fsdp-notes"]], "FSDP Prefetch Nuances": [[2052, "fsdp-prefetch-nuances"]], "Communication payload size": [[2052, "communication-payload-size"]], "FSDP buffers sizes": [[2052, "fsdp-buffers-sizes"]], "ONNX Backend for TorchDynamo": [[2066, "onnx-backend-for-torchdynamo"]], "Distributed RPC Framework": [[2077, "distributed-rpc-framework"]], "RPC": [[2077, "rpc"]], "TensorPipe Backend": [[2077, "tensorpipe-backend"]], "RRef": [[2077, "rref"]], "More Information about RRef": [[2077, null]], "RemoteModule": [[2077, "remotemodule"]], "Distributed Autograd Framework": [[2077, "distributed-autograd-framework"]], "More Information about RPC Autograd": [[2077, null]], "Distributed Optimizer": [[2077, "distributed-optimizer"], [2078, "distributed-optimizer"]], "My model reports \u201ccuda runtime error(2): out of memory\u201d": [[2051, "my-model-reports-cuda-runtime-error-2-out-of-memory"]], "My GPU memory isn\u2019t freed properly": [[2051, "my-gpu-memory-isn-t-freed-properly"]], "My out of memory exception handler can\u2019t allocate memory": [[2051, "my-out-of-memory-exception-handler-can-t-allocate-memory"]], "My data loader workers return identical random numbers": [[2051, "my-data-loader-workers-return-identical-random-numbers"]], "My recurrent network doesn\u2019t work with data parallelism": [[2051, "my-recurrent-network-doesn-t-work-with-data-parallelism"]], "torch.testing": [[2089, "module-torch.testing"]], "torch.signal": [[2080, "module-torch.signal"]], "torch.signal.windows": [[2080, "module-torch.signal.windows"]], "Dependencies": [[2065, "dependencies"]], "A simple example": [[2065, "a-simple-example"]], "Inspecting the ONNX model using GUI": [[2065, "inspecting-the-onnx-model-using-gui"]], "Diagnosing issues with SARIF": [[2065, "diagnosing-issues-with-sarif"]], "ONNX Diagnostic SARIF Rules": [[2065, null]], "Default values for native configurations": [[2074, "default-values-for-native-configurations"]], "torch.random": [[2076, "module-torch.random"]], "Extending torch.func with autograd.Function": [[2050, "extending-torch-func-with-autograd-function"]], "Basic Usage": [[2050, "basic-usage"]], "Example 1: autograd.Function calls into another system": [[2050, "example-1-autograd-function-calls-into-another-system"]], "Example 2: autograd.Function specifies custom gradient rules": [[2050, "example-2-autograd-function-specifies-custom-gradient-rules"]], "Limitations and gotchas": [[2050, "limitations-and-gotchas"]], "torch.vmap() Support": [[2050, "torch-vmap-support"]], "Automatically generate a vmap rule": [[2050, "automatically-generate-a-vmap-rule"]], "Defining the vmap staticmethod": [[2050, "defining-the-vmap-staticmethod"]], "torch.func.jvp() Support": [[2050, "torch-func-jvp-support"]], "Autograd mechanics": [[2043, "autograd-mechanics"]], "How autograd encodes the history": [[2043, "how-autograd-encodes-the-history"]], "Saved tensors": [[2043, "saved-tensors"]], "Gradients for non-differentiable functions": [[2043, "gradients-for-non-differentiable-functions"]], "Setting requires_grad": [[2043, "setting-requires-grad"]], "Grad Modes": [[2043, "grad-modes"]], "Default Mode (Grad Mode)": [[2043, "default-mode-grad-mode"]], "No-grad Mode": [[2043, "no-grad-mode"]], "Inference Mode": [[2043, "inference-mode"]], "Evaluation Mode (nn.Module.eval())": [[2043, "evaluation-mode-nn-module-eval"]], "In-place operations with autograd": [[2043, "in-place-operations-with-autograd"]], "Multithreaded Autograd": [[2043, "multithreaded-autograd"]], "Concurrency on CPU": [[2043, "concurrency-on-cpu"]], "Non-determinism": [[2043, "non-determinism"]], "Graph retaining": [[2043, "graph-retaining"]], "Thread Safety on Autograd Node": [[2043, "thread-safety-on-autograd-node"]], "No thread safety on C++ hooks": [[2043, "no-thread-safety-on-c-hooks"]], "Autograd for Complex Numbers": [[2043, "autograd-for-complex-numbers"]], "What are complex derivatives?": [[2043, "what-are-complex-derivatives"]], "Wirtinger Calculus comes into the picture \u2026": [[2043, "wirtinger-calculus-comes-into-the-picture"]], "How is Wirtinger Calculus useful in optimization?": [[2043, "how-is-wirtinger-calculus-useful-in-optimization"]], "How does PyTorch compute the conjugate Wirtinger derivative?": [[2043, "how-does-pytorch-compute-the-conjugate-wirtinger-derivative"]], "How can I write my own derivative formula for a complex function?": [[2043, "how-can-i-write-my-own-derivative-formula-for-a-complex-function"]], "What about cross-domain functions?": [[2043, "what-about-cross-domain-functions"]], "Hooks for saved tensors": [[2043, "hooks-for-saved-tensors"]], "Registering hooks for a saved tensor": [[2043, "registering-hooks-for-a-saved-tensor"]], "Registering default hooks for saved tensors": [[2043, "registering-default-hooks-for-saved-tensors"]], "Backward Hooks execution": [[2043, "backward-hooks-execution"]], "Whether a particular hook will be fired": [[2043, "whether-a-particular-hook-will-be-fired"]], "The order in which the different hooks are fired": [[2043, "the-order-in-which-the-different-hooks-are-fired"]], "Special hooks": [[2043, "special-hooks"]], "Behavior of Tensor hooks when Tensor is modified in-place": [[2043, "behavior-of-tensor-hooks-when-tensor-is-modified-in-place"]], "MPS backend": [[2058, "mps-backend"]], "ONNX supported TorchScript operators": [[2068, "onnx-supported-torchscript-operators"]], "Supported operators": [[2068, "supported-operators"]], "ONNX support for TorchScript operators": [[2068, "id1"]], "Unsupported operators": [[2068, "unsupported-operators"], [2068, "id2"]], "torch.profiler": [[2071, 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"Tuning the number of threads": [[2045, "tuning-the-number-of-threads"]], "Numerical accuracy": [[2060, "numerical-accuracy"]], "Batched computations or slice computations": [[2060, "batched-computations-or-slice-computations"]], "Extremal values": [[2060, "extremal-values"]], "Linear algebra (torch.linalg)": [[2060, "linear-algebra-torch-linalg"]], "Non-finite values": [[2060, "non-finite-values"]], "Extremal values in linalg": [[2060, "extremal-values-in-linalg"]], "TensorFloat-32(TF32) on Nvidia Ampere (and later) devices": [[2060, "tensorfloat-32-tf32-on-nvidia-ampere-and-later-devices"]], "Reduced Precision Reduction for FP16 and BF16 GEMMs": [[2060, "reduced-precision-reduction-for-fp16-and-bf16-gemms"]], "Reduced Precision FP16 and BF16 GEMMs and Convolutions on AMD Instinct MI200 devices": [[2060, "reduced-precision-fp16-and-bf16-gemms-and-convolutions-on-amd-instinct-mi200-devices"]], "Distributed Data Parallel": [[2048, "distributed-data-parallel"]], "Example": [[2048, 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"Subclassing torch.Tensor": [[2049, "subclassing-torch-tensor"]], "Extending torch with a Tensor wrapper type": [[2049, "extending-torch-with-a-tensor-wrapper-type"]], "Operations on multiple types that define __torch_function__": [[2049, "operations-on-multiple-types-that-define-torch-function"]], "Testing Coverage of Overrides for the PyTorch API": [[2049, "testing-coverage-of-overrides-for-the-pytorch-api"]], "Extending torch native API": [[2049, "extending-torch-native-api"]], "Extending all torch API with Modes": [[2049, "extending-all-torch-api-with-modes"]], "torch.ao.quantization": [[2075, "torch-ao-quantization"]], "Top level APIs": [[2075, "top-level-apis"]], "Preparing model for quantization": [[2075, "preparing-model-for-quantization"]], "torch.ao.quantization.quantize_fx": [[2075, "torch-ao-quantization-quantize-fx"]], "torch.ao.quantization.qconfig_mapping": [[2075, "torch-ao-quantization-qconfig-mapping"]], "torch.ao.quantization.backend_config": [[2075, "torch-ao-quantization-backend-config"]], "torch.ao.quantization.fx.custom_config": [[2075, "torch-ao-quantization-fx-custom-config"]], "torch.ao.quantization.quantizer": [[2075, "module-torch.ao.quantization.quantizer"]], "torch.ao.quantization.pt2e (quantization in pytorch 2.0 export implementation)": [[2075, "module-torch.ao.quantization.pt2e"]], "torch.ao.quantization.pt2e.export_utils": [[2075, "torch-ao-quantization-pt2e-export-utils"]], "torch (quantization related functions)": [[2075, "torch-quantization-related-functions"]], "torch.Tensor (quantization related methods)": [[2075, "torch-tensor-quantization-related-methods"]], "torch.ao.quantization.observer": [[2075, "torch-ao-quantization-observer"]], "torch.ao.quantization.fake_quantize": [[2075, "torch-ao-quantization-fake-quantize"]], "torch.ao.quantization.qconfig": [[2075, "torch-ao-quantization-qconfig"]], "torch.ao.nn.intrinsic": [[2075, "module-torch.ao.nn.intrinsic"]], "torch.ao.nn.intrinsic.qat": [[2075, "module-torch.ao.nn.intrinsic.qat"]], "torch.ao.nn.intrinsic.quantized": [[2075, "module-torch.ao.nn.intrinsic.quantized"]], "torch.ao.nn.intrinsic.quantized.dynamic": [[2075, "module-torch.ao.nn.intrinsic.quantized.dynamic"]], "torch.ao.nn.qat": [[2075, "module-torch.ao.nn.qat"]], "torch.ao.nn.qat.dynamic": [[2075, "module-torch.ao.nn.qat.dynamic"]], "torch.ao.nn.quantized": [[2075, "module-torch.ao.nn.quantized.modules"]], "torch.ao.nn.quantized.functional": [[2075, "module-torch.ao.nn.quantized.functional"]], "torch.ao.nn.quantizable": [[2075, "torch-ao-nn-quantizable"]], "torch.ao.nn.quantized.dynamic": [[2075, "module-torch.ao.nn.quantized.dynamic"]], "Quantized dtypes and quantization schemes": [[2075, "quantized-dtypes-and-quantization-schemes"]], "Automatic Mixed Precision examples": [[2042, "automatic-mixed-precision-examples"]], "Typical Mixed Precision Training": [[2042, "typical-mixed-precision-training"]], "Working with Unscaled Gradients": [[2042, 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Pitfalls": [[2067, "avoiding-pitfalls"]], "Avoid NumPy and built-in Python types": [[2067, "avoid-numpy-and-built-in-python-types"]], "Avoid Tensor.data": [[2067, "avoid-tensor-data"]], "Avoid in-place operations when using tensor.shape in tracing mode": [[2067, "avoid-in-place-operations-when-using-tensor-shape-in-tracing-mode"]], "Differences in Operator Implementations": [[2067, "differences-in-operator-implementations"]], "Unsupported Tensor Indexing Patterns": [[2067, "unsupported-tensor-indexing-patterns"]], "Reads / Gets": [[2067, "reads-gets"]], "Writes / Sets": [[2067, "writes-sets"]], "Adding support for operators": [[2067, "adding-support-for-operators"]], "ONNX exporter internals": [[2067, "onnx-exporter-internals"]], "ATen operators": [[2067, "aten-operators"]], "List of supported operators": [[2067, "list-of-supported-operators"]], "Adding support for an aten or quantized operator": [[2067, "adding-support-for-an-aten-or-quantized-operator"]], "torch.autograd.Functions": 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with complex outputs": [[2054, "fast-gradcheck-for-functions-with-complex-outputs"]], "Gradgradcheck implementation": [[2054, "gradgradcheck-implementation"]], "torch.Size": [[2081, "torch-size"]], "Pytorch 2.4: Getting Started on Intel GPU": [[2053, "pytorch-2-4-getting-started-on-intel-gpu"]], "Hardware Prerequisites": [[2053, "hardware-prerequisites"]], "Software Prerequisites": [[2053, "software-prerequisites"]], "Set up Environment": [[2053, "set-up-environment"]], "Build from source": [[2053, "build-from-source"]], "Check availability for Intel GPU": [[2053, "check-availability-for-intel-gpu"]], "Minimum Code Change": [[2053, "minimum-code-change"]], "Inference Examples": [[2053, "inference-examples"]], "Inference with FP32": [[2053, "inference-with-fp32"]], "Inference with AMP": [[2053, "inference-with-amp"]], "Inference with torch.compile": [[2053, "inference-with-torch-compile"]], "Training Examples": [[2053, "training-examples"]], "Train with FP32": [[2053, "train-with-fp32"]], "Train with AMP": [[2053, "train-with-amp"]], "A Simple Custom Module": [[2057, "a-simple-custom-module"]], "Modules as Building Blocks": [[2057, "modules-as-building-blocks"]], "Neural Network Training with Modules": [[2057, "neural-network-training-with-modules"]], "Module State": [[2057, "module-state"]], "Module Initialization": [[2057, "module-initialization"]], "Module Hooks": [[2057, "module-hooks"]], "Advanced Features": [[2057, "advanced-features"]], "Distributed Training": [[2057, "distributed-training"]], "Profiling Performance": [[2057, "profiling-performance"]], "Improving Performance with Quantization": [[2057, "improving-performance-with-quantization"]], "Improving Memory Usage with Pruning": [[2057, "improving-memory-usage-with-pruning"]], "Parametrizations": [[2057, "parametrizations"]], "Transforming Modules with FX": [[2057, "transforming-modules-with-fx"]], "Broadcasting semantics": [[2044, "broadcasting-semantics"]], "General semantics": 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environment considerations": [[2056, "build-environment-considerations"]], "Common extension points": [[2056, "common-extension-points"]], "HIP (ROCm) semantics": [[2055, "hip-rocm-semantics"]], "HIP Interfaces Reuse the CUDA Interfaces": [[2055, "hip-interfaces-reuse-the-cuda-interfaces"]], "Checking for HIP": [[2055, "checking-for-hip"]], "TensorFloat-32(TF32) on ROCm": [[2055, "tensorfloat-32-tf32-on-rocm"]], "hipFFT/rocFFT plan cache": [[2055, "hipfft-rocfft-plan-cache"]], "torch.distributed backends": [[2055, "torch-distributed-backends"]], "CUDA API to HIP API mappings in C++": [[2055, "cuda-api-to-hip-api-mappings-in-c"]], "Refer to CUDA Semantics doc": [[2055, "refer-to-cuda-semantics-doc"]], "Enabling kernel asserts": [[2055, "enabling-kernel-asserts"]], "torch.arccosh": [[871, "torch-arccosh"]], "torch.atanh": [[889, "torch-atanh"]], "torch.autograd.backward": [[897, "torch-autograd-backward"]], "torch.autograd.forward_ad.enter_dual_level": [[900, 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