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[1888, "variables"], [1890, "variables"]], "Making Guards": [[1970, "making-guards"]], "Summary": [[1970, "summary"], [9, "summary"]], "Custom Backends": [[1963, "custom-backends"]], "Overview": [[1963, "overview"], [57, "module-torch.fx"], [46, "overview"], [18, "module-torch.cuda._sanitizer"], [1937, "module-torch.profiler"], [1929, "overview"], [1930, "overview"]], "Registering Custom Backends": [[1963, "registering-custom-backends"]], "Custom Backends after AOTAutograd": [[1963, "custom-backends-after-aotautograd"]], "Examples": [[1963, "examples"], [12, "examples"], [37, "examples"]], "Debugging Backend": [[1963, "debugging-backend"]], "Speedy Backend": [[1963, "speedy-backend"]], "Composable Backends": [[1963, "composable-backends"]], "TorchInductor GPU Profiling": [[1971, "torchinductor-gpu-profiling"]], "Relevant Environment Variables": [[1971, "relevant-environment-variables"]], "Breakdown Model GPU Time": [[1971, "breakdown-model-gpu-time"]], "Benchmark Individual Triton Kernel": [[1971, "benchmark-individual-triton-kernel"]], "Writing Graph Transformations on ATen IR": [[1976, "writing-graph-transformations-on-aten-ir"]], "Passes": [[1976, "passes"]], "Transformer": [[1976, "transformer"], [1483, "transformer"]], "One-to-One Pass": [[1976, "one-to-one-pass"]], "One-to-X Pass": [[1976, "one-to-x-pass"]], "One-to-None Pass": [[1976, "one-to-none-pass"]], "Utilizing Local Information": [[1976, "utilizing-local-information"]], "Subgraph Rewriter": [[1976, "subgraph-rewriter"]], "Pass Manager": [[1976, "pass-manager"]], "Partitioner": [[1976, "partitioner"]], "Subgraph Matcher": [[1976, "subgraph-matcher"]], "Capability Based Partitioner": [[1976, "capability-based-partitioner"]], "Dynamic shapes": [[1965, "dynamic-shapes"]], "Motivation": [[1965, "motivation"], [1966, "motivation"], [1898, "motivation"]], "Abridged public API": [[1965, "abridged-public-api"]], "The Guard Model": [[1965, "the-guard-model"]], "Overall architecture": [[1965, "overall-architecture"], [1966, "overall-architecture"]], "Abridged internal API": [[1965, "abridged-internal-api"]], "DimDynamic policy": [[1965, "dimdynamic-policy"]], "Unbacked SymInts": [[1965, "unbacked-symints"]], "Frequently Asked Questions": [[1967, "frequently-asked-questions"], [1888, "frequently-asked-questions"], [7, "frequently-asked-questions"], [1918, "frequently-asked-questions"], [1938, "frequently-asked-questions"], [1932, "frequently-asked-questions"]], "Does torch.compile support training?": [[1967, "does-torch-compile-support-training"]], "Do you support Distributed code?": [[1967, "do-you-support-distributed-code"]], "Do I still need to export whole graphs?": [[1967, "do-i-still-need-to-export-whole-graphs"]], "Why is my code crashing?": [[1967, "why-is-my-code-crashing"]], "Why is compilation slow?": [[1967, "why-is-compilation-slow"]], "Why are you recompiling in production?": [[1967, "why-are-you-recompiling-in-production"]], "How are you speeding up my code?": [[1967, "how-are-you-speeding-up-my-code"]], "Why am I not seeing speedups?": [[1967, "why-am-i-not-seeing-speedups"]], "Graph Breaks": [[1967, "graph-breaks"], [1977, "graph-breaks"], [46, "graph-breaks"]], "Identifying the cause of a graph break": [[1967, "identifying-the-cause-of-a-graph-break"]], "Why didn\u2019t my code recompile when I changed it?": [[1967, "why-didnt-my-code-recompile-when-i-changed-it"]], "Why am I getting incorrect results?": [[1967, "why-am-i-getting-incorrect-results"]], "Why am I getting OOMs?": [[1967, "why-am-i-getting-ooms"]], "Does torch.func work with torch.compile (for grad and vmap transforms)?": [[1967, "does-torch-func-work-with-torch-compile-for-grad-and-vmap-transforms"]], "Calling torch.func transform inside of a function handled with torch.compile": [[1967, "calling-torch-func-transform-inside-of-a-function-handled-with-torch-compile"]], "Compiling torch.func.grad with torch.compile": [[1967, "compiling-torch-func-grad-with-torch-compile"]], "Compiling torch.vmap with torch.compile": [[1967, "compiling-torch-vmap-with-torch-compile"]], "Compiling functions besides the ones which are supported (escape hatch)": [[1967, "compiling-functions-besides-the-ones-which-are-supported-escape-hatch"]], "Does NumPy work with torch.compile?": [[1967, "does-numpy-work-with-torch-compile"]], "Which NumPy features does torch.compile support?": [[1967, "which-numpy-features-does-torch-compile-support"]], "Can I execute NumPy code on CUDA via torch.compile?": [[1967, "can-i-execute-numpy-code-on-cuda-via-torch-compile"]], "How do I debug NumPy code under torch.compile?": [[1967, "how-do-i-debug-numpy-code-under-torch-compile"]], "I torch.compile some NumPy code and I did not see any speed-up.": [[1967, "i-torch-compile-some-numpy-code-and-i-did-not-see-any-speed-up"]], "Which API to use for fine grain tracing?": [[1967, "which-api-to-use-for-fine-grain-tracing"]], "How do I graph break on a function?": [[1967, "how-do-i-graph-break-on-a-function"]], "What\u2019s the difference between torch._dynamo.disable and torch._dynamo.disallow_in_graph": [[1967, "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": [[1967, "what-s-the-difference-between-torch-dynamo-disable-and-torch-dynamo-skip"]], "torch.compiler API reference": [[1960, "torch-compiler-api-reference"]], "Fake tensor": [[1966, "fake-tensor"]], "Related work": [[1966, "related-work"]], "API: the important bits": [[1966, "api-the-important-bits"]], "Details": [[1966, "details"]], "About the tensor subclass": [[1966, "about-the-tensor-subclass"]], "How is each individual operator implemented?": [[1966, "how-is-each-individual-operator-implemented"]], "How does the converter work?": [[1966, "how-does-the-converter-work"]], "Performance characteristics": [[1966, "performance-characteristics"]], "Fake tensor of fake tensor?": [[1966, "fake-tensor-of-fake-tensor"]], "Interaction with dynamic shapes": [[1966, "interaction-with-dynamic-shapes"]], "Other resources": [[1966, "other-resources"]], "IRs": [[1972, "irs"]], "Core Aten IR": [[1972, "core-aten-ir"]], "Prims IR": [[1972, "prims-ir"]], "Type Info": [[1980, "type-info"]], "torch.finfo": [[1980, "torch-finfo"]], "torch.iinfo": [[1980, "torch-iinfo"]], "PyTorch 2.0 Troubleshooting": [[1977, "pytorch-2-0-troubleshooting"]], "Title": [[1977, "id1"]], "Diagnosing Runtime Errors": [[1977, "diagnosing-runtime-errors"]], "Torchdynamo Errors": [[1977, "torchdynamo-errors"]], "Diagnosing TorchInductor Errors": [[1977, "diagnosing-torchinductor-errors"]], "Minifying TorchInductor Errors": [[1977, "minifying-torchinductor-errors"]], "Minifying Backend Compiler Errors": [[1977, "minifying-backend-compiler-errors"]], "Performance Profiling": [[1977, "performance-profiling"]], "Accessing TorchDynamo Profiler": [[1977, "accessing-torchdynamo-profiler"]], "TorchInductor Debugging using TORCH_COMPILE_DEBUG": [[1977, "torchinductor-debugging-using-torch-compile-debug"]], "Identifying the Cause of a Graph Break": [[1977, "identifying-the-cause-of-a-graph-break"]], "Excessive Recompilation": [[1977, "excessive-recompilation"]], "Accuracy Debugging": [[1977, "accuracy-debugging"]], "Profiling to understand torch.compile performance": [[1975, "profiling-to-understand-torch-compile-performance"]], "What to use torch.profiler for:": [[1975, "what-to-use-torch-profiler-for"]], "Basics of using torch.profiler and viewing traces": [[1975, "basics-of-using-torch-profiler-and-viewing-traces"]], "Working around CUDA Graph profiling issues": [[1975, "working-around-cuda-graph-profiling-issues"]], "Understanding compilation time": [[1975, "understanding-compilation-time"]], "Finding graph breaks": [[1975, "finding-graph-breaks"]], "Launch overhead": [[1975, "launch-overhead"]], "python.object-model": [[65, "python-object-model"]], "model_attr_mutation": [[65, "model-attr-mutation"], [58, "model-attr-mutation"]], "optional_input": [[65, "optional-input"], [58, "optional-input"]], "FXE0015:fx-node-insert-type-promotion": [[80, "fxe0015-fx-node-insert-type-promotion"]], "Patching Batch Norm": [[52, "patching-batch-norm"]], "What\u2019s happening?": [[52, "what-s-happening"]], "How to fix": [[52, "how-to-fix"]], "Option 1: Change the BatchNorm": [[52, "option-1-change-the-batchnorm"]], "Option 2: torchvision parameter": [[52, "option-2-torchvision-parameter"]], "Option 3: functorch\u2019s patching": [[52, "option-3-functorch-s-patching"]], "Option 4: eval mode": [[52, "option-4-eval-mode"]], "torch.escape-hatch": [[69, "torch-escape-hatch"]], "assume_constant_result": [[69, "assume-constant-result"], [58, "assume-constant-result"]], "constrain_as_size_example": [[69, "constrain-as-size-example"], [68, "constrain-as-size-example"], [58, "constrain-as-size-example"]], "constrain_as_value_example": [[69, "constrain-as-value-example"], [68, "constrain-as-value-example"], [58, "constrain-as-value-example"]], "torch.Tensor.acosh": [[89, "torch-tensor-acosh"]], "torch.Tensor.addcdiv": [[95, "torch-tensor-addcdiv"]], "FXE0011:no-symbolic-function-for-call-function": [[76, "fxe0011-no-symbolic-function-for-call-function"]], "FullyShardedDataParallel": [[49, "module-torch.distributed.fsdp"]], "torch.Tensor.add_": [[92, "torch-tensor-add"]], "FXE0013:op-level-debugging": [[78, "fxe0013-op-level-debugging"]], "torch.Tensor.acos": [[87, "torch-tensor-acos"]], "torch.mutation": [[71, "torch-mutation"]], "user_input_mutation": [[71, "user-input-mutation"], [58, "user-input-mutation"]], "torch.operator": [[72, "torch-operator"]], "torch_sym_min": [[72, "torch-sym-min"], [58, "torch-sym-min"]], "python.data-structure": [[64, "python-data-structure"]], "dictionary": [[64, "dictionary"], [58, "dictionary"]], "fn_with_kwargs": [[64, "fn-with-kwargs"], [58, "fn-with-kwargs"]], "list_contains": [[64, "list-contains"], [59, "list-contains"], [67, "list-contains"], [58, "list-contains"]], "list_unpack": [[64, "list-unpack"], [63, "list-unpack"], [58, "list-unpack"]], "FXE0008:fx-node-to-onnx": [[74, "fxe0008-fx-node-to-onnx"]], "torch.func Whirlwind Tour": [[55, "torch-func-whirlwind-tour"]], "What is torch.func?": [[55, "what-is-torch-func"]], "Why composable function transforms?": [[55, "why-composable-function-transforms"], [50, "why-composable-function-transforms"]], "What are the transforms?": [[55, "what-are-the-transforms"]], "grad() (gradient computation)": [[55, "grad-gradient-computation"]], "vmap() (auto-vectorization)": [[55, "vmap-auto-vectorization"]], "vjp() (vector-Jacobian product)": [[55, "vjp-vector-jacobian-product"]], "jvp() (Jacobian-vector product)": [[55, "jvp-jacobian-vector-product"]], "jacrev(), jacfwd(), and hessian()": [[55, "jacrev-jacfwd-and-hessian"]], "python.control-flow": [[63, "python-control-flow"]], "dynamic_shape_if_guard": [[63, "dynamic-shape-if-guard"], [67, "dynamic-shape-if-guard"], [58, "dynamic-shape-if-guard"]], "static_for_loop": [[63, "static-for-loop"], [58, "static-for-loop"]], "static_if": [[63, "static-if"], [58, "static-if"]], "torch.Tensor.absolute": [[85, "torch-tensor-absolute"]], "torch.Tensor.addbmm_": [[94, "torch-tensor-addbmm"]], "torch.Tensor.acosh_": [[90, "torch-tensor-acosh"]], "torch.Tensor.add": [[91, "torch-tensor-add"]], "torch.func": [[50, "torch-func"]], "What are composable function transforms?": [[50, "what-are-composable-function-transforms"]], "Read More": [[50, "read-more"], [46, "read-more"], [1958, "read-more"]], "python.closure": [[61, "python-closure"]], "cond_closed_over_variable": [[61, "cond-closed-over-variable"], [66, "cond-closed-over-variable"], [58, "cond-closed-over-variable"]], "nested_function": [[61, "nested-function"], [58, "nested-function"]], "torch.Tensor.acos_": [[88, "torch-tensor-acos"]], "torch.Tensor.absolute_": [[86, "torch-tensor-absolute"]], "python.assert": [[59, "python-assert"]], "dynamic_shape_assert": [[59, "dynamic-shape-assert"], [58, "dynamic-shape-assert"]], "python.context-manager": [[62, "python-context-manager"]], "null_context_manager": [[62, "null-context-manager"], [58, "null-context-manager"]], "Generator": [[82, "generator"]], "torch.dynamic-shape": [[67, "torch-dynamic-shape"]], "cond_branch_class_method": [[67, "cond-branch-class-method"], [66, "cond-branch-class-method"], [58, "cond-branch-class-method"]], "cond_branch_nested_function": [[67, "cond-branch-nested-function"], [66, "cond-branch-nested-function"], [58, "cond-branch-nested-function"]], "cond_branch_nonlocal_variables": [[67, "cond-branch-nonlocal-variables"], [66, "cond-branch-nonlocal-variables"], [58, "cond-branch-nonlocal-variables"]], "cond_operands": [[67, "cond-operands"], [66, "cond-operands"], [58, "cond-operands"]], "cond_predicate": [[67, "cond-predicate"], [66, "cond-predicate"], [58, "cond-predicate"]], "dynamic_shape_constructor": [[67, "dynamic-shape-constructor"], [58, "dynamic-shape-constructor"]], "dynamic_shape_map": [[67, "dynamic-shape-map"], [70, "dynamic-shape-map"], [58, "dynamic-shape-map"]], "dynamic_shape_round": [[67, "dynamic-shape-round"], [60, "dynamic-shape-round"], [58, "dynamic-shape-round"]], "dynamic_shape_slicing": [[67, "dynamic-shape-slicing"], [58, "dynamic-shape-slicing"]], "dynamic_shape_view": [[67, "dynamic-shape-view"], [58, "dynamic-shape-view"]], "scalar_output": [[67, "scalar-output"], [58, "scalar-output"]], "FXE0007:fx-graph-to-onnx": [[73, "fxe0007-fx-graph-to-onnx"]], "Key Representations:": [[73, "key-representations"]], "Additional Notes:": [[73, "additional-notes"]], "torch.Tensor.abs": [[83, "torch-tensor-abs"]], "torch.Tensor.addbmm": [[93, "torch-tensor-addbmm"]], "torch.map": [[70, "torch-map"]], "FXE0014:find-opschema-matched-symbolic-function": [[79, "fxe0014-find-opschema-matched-symbolic-function"]], "torch.func API Reference": [[51, "module-torch.func"]], "Function Transforms": [[51, "function-transforms"]], "Utilities for working with torch.nn.Modules": [[51, "utilities-for-working-with-torch-nn-modules"]], "torch.dynamic-value": [[68, "torch-dynamic-value"]], "Migrating from functorch to torch.func": [[53, "migrating-from-functorch-to-torch-func"]], "function transforms": [[53, "function-transforms"]], "NN module utilities": [[53, "nn-module-utilities"]], "functorch.make_functional": [[53, "functorch-make-functional"]], "functorch.combine_state_for_ensemble": [[53, "functorch-combine-state-for-ensemble"]], "functorch.compile": [[53, "functorch-compile"]], "FXE0012:unsupported-fx-node-analysis": [[77, "fxe0012-unsupported-fx-node-analysis"]], "FXE0010:fx-pass": [[75, "fxe0010-fx-pass"]], "python.builtin": [[60, "python-builtin"]], "tensor_setattr": [[60, "tensor-setattr"], [58, "tensor-setattr"]], "type_reflection_method": [[60, "type-reflection-method"], [58, "type-reflection-method"]], "torch.cond": [[66, "torch-cond"], [957, "torch-cond"]], "torch.Tensor.addcdiv_": [[96, "torch-tensor-addcdiv"]], "torch.Tensor.addcmul": [[97, "torch-tensor-addcmul"]], "FXE0016:find-operator-overloads-in-onnx-registry": [[81, "fxe0016-find-operator-overloads-in-onnx-registry"]], "UX Limitations": [[54, "ux-limitations"]], "General limitations": [[54, "general-limitations"]], "torch.autograd APIs": [[54, "torch-autograd-apis"]], "vmap limitations": [[54, "vmap-limitations"]], "Mutation: Arbitrary mutation of Python data structures": [[54, "mutation-arbitrary-mutation-of-python-data-structures"]], "Mutation: in-place PyTorch Operations": [[54, "mutation-in-place-pytorch-operations"]], "Mutation: out= PyTorch Operations": [[54, "mutation-out-pytorch-operations"]], "Data-dependent Python control flow": [[54, "data-dependent-python-control-flow"]], "Data-dependent operations (.item())": [[54, "data-dependent-operations-item"]], "Dynamic shape operations (nonzero and friends)": [[54, "dynamic-shape-operations-nonzero-and-friends"]], "Randomness": [[54, "randomness"]], "torch.futures": [[56, "torch-futures"]], "torch.fx": [[57, "torch-fx"]], "Writing Transformations": [[57, "writing-transformations"]], "A Quick Primer on Graphs": [[57, "a-quick-primer-on-graphs"]], "Graph Manipulation": [[57, "graph-manipulation"]], "Direct Graph Manipulation": [[57, "direct-graph-manipulation"]], "Subgraph Rewriting With replace_pattern()": [[57, "subgraph-rewriting-with-replace-pattern"]], "Graph Manipulation Examples": [[57, "graph-manipulation-examples"]], "Proxy/Retracing": [[57, "proxy-retracing"]], "The Interpreter Pattern": [[57, "the-interpreter-pattern"]], "Examples of the Interpreter Pattern": [[57, "examples-of-the-interpreter-pattern"]], "Debugging": [[57, "debugging"], [1888, "debugging"]], "Introduction": [[57, "introduction"], [1898, "introduction"], [1906, "introduction"]], "Common Pitfalls in Transform Authoring": [[57, "common-pitfalls-in-transform-authoring"]], "Checking Correctness of Modules": [[57, "checking-correctness-of-modules"]], "Debugging the Generated Code": [[57, "debugging-the-generated-code"]], "Use pdb": [[57, "use-pdb"]], "Print the Generated Code": [[57, "print-the-generated-code"]], "Use the to_folder Function From GraphModule": [[57, "use-the-to-folder-function-from-graphmodule"]], "Debugging the Transformation": [[57, "debugging-the-transformation"]], "Available Debuggers": [[57, "available-debuggers"]], "Limitations of Symbolic Tracing": [[57, "limitations-of-symbolic-tracing"]], "Dynamic Control Flow": [[57, "dynamic-control-flow"]], "Static Control Flow": [[57, "static-control-flow"]], "Non-torch Functions": [[57, "non-torch-functions"]], "Customizing Tracing with the Tracer class": [[57, "customizing-tracing-with-the-tracer-class"]], "Leaf Modules": [[57, "leaf-modules"]], "Miscellanea": [[57, "miscellanea"]], "API Reference": [[57, "api-reference"], [1901, "module-torch.monitor"], [46, "module-torch.export"], [18, "api-reference"], [12, "api-reference"], [1937, "api-reference"], [1935, "api-reference"], [1930, "api-reference"]], "torch.Tensor.abs_": [[84, "torch-tensor-abs"]], "ExportDB": [[58, "exportdb"]], "Tags": [[58, null]], "Supported": [[58, "supported"]], "autograd_function": [[58, "autograd-function"]], "class_method": [[58, "class-method"]], "decorator": [[58, "decorator"]], "pytree_flatten": [[58, "pytree-flatten"]], "specialized_attribute": [[58, "specialized-attribute"]], "Not Supported Yet": [[58, "not-supported-yet"]], "torch.nn.functional.relu_": [[1586, "torch-nn-functional-relu"]], "torch.nn.modules.module.register_module_buffer_registration_hook": [[1613, "torch-nn-modules-module-register-module-buffer-registration-hook"]], "torch.nn.functional.rrelu_": [[1588, "torch-nn-functional-rrelu"]], "torch.nn.functional.selu": [[1590, "torch-nn-functional-selu"]], "torch.nn.functional.threshold_": [[1603, "torch-nn-functional-threshold"]], "torch.nn.functional.tanhshrink": [[1601, 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[[1409, "lppool2d"]], "InstanceNorm1d": [[1403, "instancenorm1d"], [744, "instancenorm1d"]], "Hardshrink": [[1396, "hardshrink"]], "LSTM": [[1410, "lstm"], [755, "lstm"], [727, "lstm"]], "Dropout3d": [[1381, "dropout3d"]], "GroupNorm": [[1395, "groupnorm"], [742, "groupnorm"]], "CosineSimilarity": [[1375, "cosinesimilarity"]], "LazyConvTranspose2d": [[1420, "lazyconvtranspose2d"]], "GELU": [[1390, "gelu"]], "ConvTranspose2d": [[1372, "convtranspose2d"], [735, "convtranspose2d"]], "InstanceNorm2d": [[1404, "instancenorm2d"], [745, "instancenorm2d"]], "Dropout": [[1378, "dropout"]], "ELU": [[1382, "elu"], [737, "elu"]], "DataParallel": [[1377, "dataparallel"]], "FractionalMaxPool3d": [[1389, "fractionalmaxpool3d"]], "LazyConv1d": [[1416, "lazyconv1d"]], "torch.mps.set_rng_state": [[1323, "torch-mps-set-rng-state"]], "BatchNorm1d": [[1355, "batchnorm1d"]], "BatchNorm2d": [[1356, "batchnorm2d"], [729, "batchnorm2d"]], "BatchNorm3d": [[1357, "batchnorm3d"], [730, "batchnorm3d"]], "ConstantPad3d": [[1367, "constantpad3d"]], "BCELoss": [[1353, "bceloss"]], "AdaptiveMaxPool2d": [[1347, "adaptivemaxpool2d"]], "AlphaDropout": [[1349, "alphadropout"]], "torch.multiply": [[1328, "torch-multiply"]], "AdaptiveAvgPool3d": [[1344, "adaptiveavgpool3d"]], "AvgPool3d": [[1352, "avgpool3d"]], "torch.narrow_copy": [[1337, "torch-narrow-copy"]], "torch.nanmean": [[1332, "torch-nanmean"]], "torch.mvlgamma": [[1330, "torch-mvlgamma"]], "AdaptiveMaxPool3d": [[1348, "adaptivemaxpool3d"]], "CircularPad1d": [[1362, "circularpad1d"]], "torch.neg": [[1339, "torch-neg"]], "torch.msort": [[1325, "torch-msort"]], "torch.negative": [[1340, "torch-negative"]], "ConstantPad1d": [[1365, "constantpad1d"]], "torch.nextafter": [[1341, "torch-nextafter"]], "CircularPad2d": [[1363, "circularpad2d"]], "Conv3d": [[1370, "conv3d"], [724, "conv3d"], [733, "conv3d"]], "torch.ne": [[1338, "torch-ne"]], "AvgPool2d": [[1351, "avgpool2d"]], "Conv1d": [[1368, "conv1d"], [731, "conv1d"]], "Bilinear": [[1358, "bilinear"]], "torch.mul": [[1326, "torch-mul"]], "torch.nanmedian": [[1333, "torch-nanmedian"]], "AdaptiveMaxPool1d": [[1346, "adaptivemaxpool1d"]], "Conv2d": [[1369, "conv2d"], [723, "conv2d"], [732, "conv2d"]], "torch.nanquantile": [[1334, "torch-nanquantile"]], "torch.multinomial": [[1327, "torch-multinomial"]], "torch.mps.synchronize": [[1324, "torch-mps-synchronize"]], "CTCLoss": [[1360, "ctcloss"]], "AdaptiveAvgPool1d": [[1342, "adaptiveavgpool1d"]], "CELU": [[1359, "celu"]], "ChannelShuffle": [[1361, "channelshuffle"]], "torch.nansum": [[1335, "torch-nansum"]], "AdaptiveAvgPool2d": [[1343, "adaptiveavgpool2d"]], "torch.nan_to_num": [[1331, "torch-nan-to-num"]], "BCEWithLogitsLoss": [[1354, "bcewithlogitsloss"]], "CircularPad3d": [[1364, "circularpad3d"]], "AvgPool1d": [[1350, "avgpool1d"]], "torch.narrow": [[1336, "torch-narrow"]], "ConstantPad2d": [[1366, "constantpad2d"]], "torch.mv": [[1329, "torch-mv"]], "ConvTranspose1d": [[1371, "convtranspose1d"], [734, "convtranspose1d"]], "AdaptiveLogSoftmaxWithLoss": [[1345, "adaptivelogsoftmaxwithloss"]], "torch.linspace": [[1274, "torch-linspace"]], "torch.logaddexp": [[1281, "torch-logaddexp"]], "torch.meshgrid": [[1305, "torch-meshgrid"]], "torch.mps.get_rng_state": [[1316, "torch-mps-get-rng-state"]], "torch.lu": [[1293, "torch-lu"]], "torch.moveaxis": [[1310, "torch-moveaxis"]], "torch.log": [[1277, "torch-log"]], "torch.manual_seed": [[1296, "torch-manual-seed"]], "torch.mps.profiler.profile": [[1318, "torch-mps-profiler-profile"]], "torch.mps.manual_seed": [[1317, "torch-mps-manual-seed"]], "torch.logaddexp2": [[1282, "torch-logaddexp2"]], "torch.min": [[1306, "torch-min"]], "torch.load": [[1275, "torch-load"]], "torch.log2": [[1280, "torch-log2"]], "torch.maximum": [[1302, "torch-maximum"]], "torch.mean": [[1303, "torch-mean"]], "torch.matmul": [[1298, "torch-matmul"]], "torch.matrix_exp": [[1299, "torch-matrix-exp"]], "torch.lu_solve": [[1294, "torch-lu-solve"]], "torch.logical_or": [[1287, "torch-logical-or"]], "torch.mm": [[1308, "torch-mm"]], "Event": [[1315, "event"], [978, "event"]], "torch.log10": [[1278, "torch-log10"]], "torch.movedim": [[1311, "torch-movedim"]], "torch.matrix_power": [[1300, "torch-matrix-power"]], "torch.minimum": [[1307, "torch-minimum"]], "torch.mps.empty_cache": [[1314, "torch-mps-empty-cache"]], "torch.masked_select": [[1297, "torch-masked-select"]], "torch.logical_not": [[1286, "torch-logical-not"]], "torch.mode": [[1309, "torch-mode"]], "torch.lt": [[1292, "torch-lt"]], "torch.logcumsumexp": [[1283, "torch-logcumsumexp"]], "torch.mps.profiler.stop": [[1320, "torch-mps-profiler-stop"]], "torch.log1p": [[1279, "torch-log1p"]], "torch.lu_unpack": [[1295, "torch-lu-unpack"]], "torch.max": [[1301, "torch-max"]], "torch.mps.current_allocated_memory": [[1312, "torch-mps-current-allocated-memory"]], "torch.mps.profiler.start": [[1319, "torch-mps-profiler-start"]], "torch.lobpcg": [[1276, "torch-lobpcg"]], "torch.logical_and": [[1285, "torch-logical-and"]], "torch.logspace": [[1290, "torch-logspace"]], "torch.mps.set_per_process_memory_fraction": [[1322, "torch-mps-set-per-process-memory-fraction"]], "torch.median": [[1304, "torch-median"]], "torch.logit": [[1289, "torch-logit"]], "torch.logsumexp": [[1291, "torch-logsumexp"]], "torch.mps.driver_allocated_memory": [[1313, "torch-mps-driver-allocated-memory"]], "torch.logical_xor": [[1288, "torch-logical-xor"]], "torch.logdet": [[1284, "torch-logdet"]], "torch.mps.seed": [[1321, "torch-mps-seed"]], "torch.vsplit": [[1880, "torch-vsplit"]], "torch.library": [[1895, "module-torch.library"]], "Low-level APIs": [[1895, "low-level-apis"]], "Named Tensors": [[1905, "named-tensors"]], "Creating named tensors": [[1905, "creating-named-tensors"]], "Named dimensions": [[1905, "named-dimensions"]], "Name propagation semantics": [[1905, "name-propagation-semantics"]], "match semantics": [[1905, "match-semantics"]], "Basic name inference rules": [[1905, "basic-name-inference-rules"]], "Explicit alignment by names": [[1905, "explicit-alignment-by-names"]], "Manipulating dimensions": [[1905, "manipulating-dimensions"]], "Autograd support": [[1905, "autograd-support"]], "Currently supported operations and subsystems": [[1905, "currently-supported-operations-and-subsystems"]], "Operators": [[1905, "operators"]], "Subsystems": [[1905, "subsystems"]], "Named tensor API reference": [[1905, "named-tensor-api-reference"]], "torch.nn": [[1907, "module-torch.nn"], [1907, "id1"]], "Containers": [[1907, "containers"]], "Convolution Layers": [[1907, "convolution-layers"]], "Pooling layers": [[1907, "pooling-layers"]], "Padding Layers": [[1907, "padding-layers"]], "Non-linear Activations (weighted sum, nonlinearity)": [[1907, "non-linear-activations-weighted-sum-nonlinearity"]], "Non-linear Activations (other)": [[1907, "non-linear-activations-other"]], "Normalization Layers": [[1907, "normalization-layers"]], "Recurrent Layers": [[1907, "recurrent-layers"]], "Transformer Layers": [[1907, "transformer-layers"]], "Linear Layers": [[1907, "linear-layers"]], "Dropout Layers": [[1907, "dropout-layers"]], "Sparse Layers": [[1907, "sparse-layers"]], "Distance Functions": [[1907, "distance-functions"]], "Loss Functions": [[1907, "loss-functions"]], "Vision Layers": [[1907, "vision-layers"]], "Shuffle Layers": [[1907, "shuffle-layers"]], "DataParallel Layers (multi-GPU, distributed)": [[1907, "module-torch.nn.parallel"]], "Utilities": [[1907, "module-torch.nn.utils"], [1955, "utilities"]], "Quantized Functions": [[1907, "quantized-functions"]], "Lazy Modules Initialization": [[1907, "lazy-modules-initialization"]], "torch.unique_consecutive": [[1865, "torch-unique-consecutive"]], "Named Tensors operator coverage": [[1904, "named-tensors-operator-coverage"]], "Supported Operations": [[1904, "id1"]], "Keeps input names": [[1904, "keeps-input-names"]], "Removes dimensions": [[1904, "removes-dimensions"]], "Unifies names from inputs": [[1904, "unifies-names-from-inputs"]], "Permutes dimensions": [[1904, "permutes-dimensions"]], "Contracts away dims": [[1904, "contracts-away-dims"]], "Factory functions": [[1904, "factory-functions"]], "out function and in-place variants": [[1904, "out-function-and-in-place-variants"]], "torch.masked": [[1898, "torch-masked"]], "What is a MaskedTensor?": [[1898, "what-is-a-maskedtensor"]], "Supported Operators": [[1898, "supported-operators"]], "Unary Operators": [[1898, "unary-operators"]], "Binary Operators": [[1898, "binary-operators"]], "Reductions": [[1898, "reductions"]], "View and select functions": [[1898, "view-and-select-functions"]], "torch.linalg": [[1896, "torch-linalg"]], "Matrix Properties": [[1896, "matrix-properties"]], "Decompositions": [[1896, "decompositions"]], "Solvers": [[1896, "solvers"]], "Inverses": [[1896, "inverses"]], "Matrix Functions": [[1896, "matrix-functions"]], "Matrix Products": [[1896, "matrix-products"]], "Tensor Operations": [[1896, "tensor-operations"]], "Misc": [[1896, "misc"]], "Experimental Functions": [[1896, "experimental-functions"]], "Python Language Reference Coverage": [[1892, "python-language-reference-coverage"]], "TorchScript": [[1888, "torchscript"]], "Creating TorchScript Code": [[1888, "creating-torchscript-code"]], "Mixing Tracing and Scripting": [[1888, "mixing-tracing-and-scripting"]], "TorchScript Language": [[1888, "torchscript-language"]], "Built-in Functions and Modules": [[1888, "built-in-functions-and-modules"]], "PyTorch Functions and Modules": [[1888, "pytorch-functions-and-modules"]], "Python Functions and Modules": [[1888, "python-functions-and-modules"]], "Python Language Reference Comparison": [[1888, "python-language-reference-comparison"]], "Disable JIT for Debugging": [[1888, "disable-jit-for-debugging"]], "Inspecting Code": [[1888, "inspecting-code"]], "Interpreting Graphs": [[1888, "interpreting-graphs"]], "Tracer": [[1888, "tracer"]], "Tracing Edge Cases": [[1888, "tracing-edge-cases"]], "Automatic Trace Checking": [[1888, "automatic-trace-checking"]], "Tracer Warnings": [[1888, "tracer-warnings"]], "Known Issues": [[1888, "known-issues"]], "Appendix": [[1888, "appendix"]], "Migrating to PyTorch 1.2 Recursive Scripting API": [[1888, "migrating-to-pytorch-1-2-recursive-scripting-api"]], "Modules": [[1888, "modules"], [1922, "modules"]], "TorchScript Classes": [[1888, "torchscript-classes"], [1890, "id2"]], "Attributes": [[1888, "attributes"]], "Constants": [[1888, "constants"]], "Fusion Backends": [[1888, "fusion-backends"]], "References": [[1888, "references"], [47, "references"]], "TorchScript Language Reference": [[1891, "torchscript-language-reference"], [1890, "torchscript-language-reference"]], "Terminology": [[1891, "terminology"]], "Type System": [[1891, "id1"]], "TorchScript Types": [[1891, "torchscript-types"]], "Meta Types": [[1891, "meta-types"]], "Any Type": [[1891, "any-type"]], "Operators Supported for Any Type": [[1891, "operators-supported-for-any-type"]], "Design Notes": [[1891, "design-notes"], [1943, "design-notes"]], "Primitive Types": [[1891, "primitive-types"]], "Structural Types": [[1891, "structural-types"]], "Nominal Types": [[1891, "nominal-types"]], "Built-in Class": [[1891, "built-in-class"]], "Special Note on torch.nn.ModuleList and torch.nn.ModuleDict": [[1891, "special-note-on-torch-nn-modulelist-and-torch-nn-moduledict"]], "Custom Class": [[1891, "custom-class"]], "Enum Type": [[1891, "enum-type"]], "TorchScript Module Class": [[1891, "torchscript-module-class"]], "Module Instance Class": [[1891, "module-instance-class"]], "Type Annotation": [[1891, "type-annotation"]], "When to Annotate Types": [[1891, "when-to-annotate-types"]], "Annotate Function Signature": [[1891, "annotate-function-signature"]], "Annotate Variables and Data Attributes": [[1891, "annotate-variables-and-data-attributes"]], "Local Variables": [[1891, "local-variables"]], "Instance Data Attributes": [[1891, "instance-data-attributes"]], "Type Annotation APIs": [[1891, "type-annotation-apis"]], "torch.jit.annotate(T, expr)": [[1891, "torch-jit-annotate-t-expr"]], "Type Annotation Appendix": [[1891, "type-annotation-appendix"]], "TorchScript Type System Definition": [[1891, "torchscript-type-system-definition"]], "Unsupported Typing Constructs": [[1891, "unsupported-typing-constructs"], [1890, "unsupported-typing-constructs"]], "Expressions": [[1891, "expressions"], [1890, "expressions"]], "Arithmetic Conversions": [[1891, "arithmetic-conversions"]], "Atoms": [[1891, "atoms"]], "Identifiers": [[1891, "identifiers"]], "Literals": [[1891, "literals"], [1890, "literals"]], "Parenthesized Forms": [[1891, "parenthesized-forms"]], "List and Dictionary Displays": [[1891, "list-and-dictionary-displays"]], "Primaries": [[1891, "primaries"]], "Attribute References": [[1891, "attribute-references"]], "Subscriptions": [[1891, "subscriptions"]], "Slicings": [[1891, "slicings"]], "Calls": [[1891, "calls"]], "Power Operator": [[1891, "power-operator"]], "Unary and Arithmetic Bitwise Operations": [[1891, "unary-and-arithmetic-bitwise-operations"]], "Binary Arithmetic Operations": [[1891, "binary-arithmetic-operations"]], "Shifting Operations": [[1891, "shifting-operations"]], "Binary Bitwise Operations": [[1891, "binary-bitwise-operations"]], "Value Comparisons": [[1891, "value-comparisons"]], "Membership Test Operations": [[1891, "membership-test-operations"]], "Identity Comparisons": [[1891, "identity-comparisons"]], "Boolean Operations": [[1891, "boolean-operations"]], "Conditional Expressions": [[1891, "conditional-expressions"]], "Expression Lists": [[1891, "expression-lists"]], "Simple Statements": [[1891, "simple-statements"]], "Expression Statements": [[1891, "expression-statements"]], "Assignment Statements": [[1891, "assignment-statements"]], "Augmented Assignment Statements": [[1891, "augmented-assignment-statements"]], "Annotated Assignment Statements": [[1891, "annotated-assignment-statements"]], "The raise Statement": [[1891, "the-raise-statement"]], "The assert Statement": [[1891, "the-assert-statement"]], "The return Statement": [[1891, "the-return-statement"]], "The del Statement": [[1891, "the-del-statement"]], "The pass Statement": [[1891, "the-pass-statement"]], "The print Statement": [[1891, "the-print-statement"]], "The break Statement": [[1891, "the-break-statement"]], "The continue Statement:": [[1891, "the-continue-statement"]], "Compound Statements": [[1891, "compound-statements"]], "The if Statement": [[1891, "the-if-statement"]], "Basic if/else Statement": [[1891, "basic-if-else-statement"]], "Ternary if/else Statement": [[1891, "ternary-if-else-statement"]], "The while Statement": [[1891, "the-while-statement"]], "The for-in Statement": [[1891, "the-for-in-statement"]], "The with Statement": [[1891, "the-with-statement"]], "The tuple Statement": [[1891, "the-tuple-statement"]], "The getattr Statement": [[1891, "the-getattr-statement"]], "The hasattr Statement": [[1891, "the-hasattr-statement"]], "The zip Statement": [[1891, "the-zip-statement"]], "The enumerate Statement": [[1891, "the-enumerate-statement"]], "Python Values": [[1891, "python-values"]], "Resolution Rules": [[1891, "resolution-rules"]], "Python Built-in Functions Support": [[1891, "python-built-in-functions-support"]], "TorchScript Support for Python Built-in Functions": [[1891, "id5"]], "Python Built-in Values Support": [[1891, "python-built-in-values-support"]], "TorchScript Support for Python Built-in Values": [[1891, "id6"]], "torch.* APIs": [[1891, "torch-apis"]], "Remote Procedure Calls": [[1891, "remote-procedure-calls"]], "Asynchronous Execution": [[1891, "asynchronous-execution"]], "Type Annotations": [[1891, "type-annotations"]], "Meta Programming": [[1891, "meta-programming"]], "Type Refinement": [[1891, "type-refinement"]], "TorchScript Unsupported PyTorch Constructs": [[1893, "torchscript-unsupported-pytorch-constructs"]], "Torch and Tensor Unsupported Attributes": [[1893, "torch-and-tensor-unsupported-attributes"]], "Unsupported Tensor Methods": [[1893, "unsupported-tensor-methods"]], "Unsupported Tensor Properties": [[1893, "unsupported-tensor-properties"]], "Functions Not Correctly Bound on Torch": [[1893, "functions-not-correctly-bound-on-torch"]], "Ops With Divergent Schemas Between Torch & Python": [[1893, "ops-with-divergent-schemas-between-torch-python"]], "PyTorch Unsupported Modules and Classes": [[1893, "pytorch-unsupported-modules-and-classes"]], "torch.use_deterministic_algorithms": [[1868, "torch-use-deterministic-algorithms"]], "torch.unflatten": [[1863, "torch-unflatten"]], "torch.utils.generate_methods_for_privateuse1_backend": [[1869, "torch-utils-generate-methods-for-privateuse1-backend"]], "torch.unsqueeze": [[1867, "torch-unsqueeze"]], "JIT Utils - torch.utils.jit": [[1894, "module-torch.utils.jit"]], "torch.utils.mobile_optimizer": [[1899, "torch-utils-mobile-optimizer"]], "torch.vdot": [[1876, "torch-vdot"]], "torch.utils.get_cpp_backtrace": [[1870, "torch-utils-get-cpp-backtrace"]], "torch.monitor": [[1901, "torch-monitor"]], "torch.utils.rename_privateuse1_backend": [[1871, "torch-utils-rename-privateuse1-backend"]], "torch.var": [[1874, "torch-var"]], "torch.zeros_like": [[1885, "torch-zeros-like"]], "PyTorch documentation": [[1887, "pytorch-documentation"]], "Community": [[1887, null]], "Developer Notes": [[1887, null]], "Language Bindings": [[1887, null]], "Python API": [[1887, null], [1932, "module-torch.onnx"]], "Libraries": [[1887, null]], "Indices and tables": [[1887, "indices-and-tables"]], "torch.mps": [[1902, "module-torch.mps"]], "MPS Profiler": [[1902, "mps-profiler"]], "MPS Event": [[1902, "mps-event"]], "torch.vmap": [[1879, "torch-vmap"]], "torch.utils.model_zoo": [[1900, "torch-utils-model-zoo"]], "CUDA Automatic Mixed Precision examples": [[1910, "cuda-automatic-mixed-precision-examples"]], 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"Optimizations": [[1955, "optimizations"]], "Operator Tags": [[1955, "operator-tags"]], "CUDA semantics": [[1914, "cuda-semantics"]], "TensorFloat-32 (TF32) on Ampere (and later) devices": [[1914, "tensorfloat-32-tf32-on-ampere-and-later-devices"]], "Reduced Precision Reduction in FP16 GEMMs": [[1914, "reduced-precision-reduction-in-fp16-gemms"]], "Reduced Precision Reduction in BF16 GEMMs": [[1914, "reduced-precision-reduction-in-bf16-gemms"]], "Asynchronous execution": [[1914, "asynchronous-execution"]], "CUDA streams": [[1914, "cuda-streams"]], "Stream semantics of backward passes": [[1914, "stream-semantics-of-backward-passes"]], "BC note: Using grads on the default stream": [[1914, "bc-note-using-grads-on-the-default-stream"]], "Environment variables": [[1914, "environment-variables"]], "Using custom memory allocators for CUDA": [[1914, "using-custom-memory-allocators-for-cuda"]], "cuBLAS workspaces": [[1914, "cublas-workspaces"]], "cuFFT plan cache": [[1914, "cufft-plan-cache"]], "Just-in-Time Compilation": [[1914, "just-in-time-compilation"]], "Best practices": [[1914, "best-practices"]], "Device-agnostic code": [[1914, "device-agnostic-code"]], "Use pinned memory buffers": [[1914, "use-pinned-memory-buffers"]], "Use nn.parallel.DistributedDataParallel instead of multiprocessing or nn.DataParallel": [[1914, "use-nn-parallel-distributeddataparallel-instead-of-multiprocessing-or-nn-dataparallel"]], "CUDA Graphs": [[1914, "cuda-graphs"]], "Why CUDA Graphs?": [[1914, "why-cuda-graphs"]], "PyTorch API": [[1914, "pytorch-api"]], "Non-constraints": [[1914, "non-constraints"]], "Whole-network capture": [[1914, "whole-network-capture"]], "Partial-network capture": [[1914, "partial-network-capture"]], "Usage with torch.cuda.amp": [[1914, "usage-with-torch-cuda-amp"]], "Usage with multiple streams": [[1914, "usage-with-multiple-streams"]], "Usage with DistributedDataParallel": [[1914, "usage-with-distributeddataparallel"]], "NCCL < 2.9.6": [[1914, "nccl-2-9-6"]], "NCCL >= 2.9.6": [[1914, "id5"]], "Graph memory management": [[1914, "graph-memory-management"]], "Sharing memory across captures": [[1914, "sharing-memory-across-captures"]], "Autograd mechanics": [[1911, "autograd-mechanics"]], "How autograd encodes the history": [[1911, "how-autograd-encodes-the-history"]], "Saved tensors": [[1911, "saved-tensors"]], "Gradients for non-differentiable functions": [[1911, "gradients-for-non-differentiable-functions"]], "Setting requires_grad": [[1911, "setting-requires-grad"]], "Grad Modes": [[1911, "grad-modes"]], "Default Mode (Grad Mode)": [[1911, "default-mode-grad-mode"]], "No-grad Mode": [[1911, "no-grad-mode"]], "Inference Mode": [[1911, "inference-mode"]], "Evaluation Mode (nn.Module.eval())": [[1911, "evaluation-mode-nn-module-eval"]], "In-place operations with autograd": [[1911, "in-place-operations-with-autograd"]], "Multithreaded Autograd": [[1911, "multithreaded-autograd"]], "Concurrency on CPU": [[1911, "concurrency-on-cpu"]], "Non-determinism": [[1911, "non-determinism"]], "Graph retaining": [[1911, "graph-retaining"]], "Thread Safety on Autograd Node": [[1911, "thread-safety-on-autograd-node"]], "No thread safety on C++ hooks": [[1911, "no-thread-safety-on-c-hooks"]], "Autograd for Complex Numbers": [[1911, "autograd-for-complex-numbers"]], "What are complex derivatives?": [[1911, "what-are-complex-derivatives"]], "Wirtinger Calculus comes into the picture \u2026": [[1911, "wirtinger-calculus-comes-into-the-picture"]], "How is Wirtinger Calculus useful in optimization?": [[1911, "how-is-wirtinger-calculus-useful-in-optimization"]], "How does PyTorch compute the conjugate Wirtinger derivative?": [[1911, "how-does-pytorch-compute-the-conjugate-wirtinger-derivative"]], "How can I write my own derivative formula for a complex function?": [[1911, "how-can-i-write-my-own-derivative-formula-for-a-complex-function"]], "What about cross-domain functions?": [[1911, "what-about-cross-domain-functions"]], "Hooks for saved tensors": [[1911, "hooks-for-saved-tensors"]], "Registering hooks for a saved tensor": [[1911, "registering-hooks-for-a-saved-tensor"]], "Registering default hooks for saved tensors": [[1911, "registering-default-hooks-for-saved-tensors"]], "Backward Hooks execution": [[1911, "backward-hooks-execution"]], "Whether a particular hook will be fired": [[1911, "whether-a-particular-hook-will-be-fired"]], "The order in which the different hooks are fired": [[1911, "the-order-in-which-the-different-hooks-are-fired"]], "Special hooks": [[1911, "special-hooks"]], "Behavior of Tensor hooks when Tensor is modified in-place": [[1911, "behavior-of-tensor-hooks-when-tensor-is-modified-in-place"]], "ONNX Backend for TorchDynamo": [[1931, "onnx-backend-for-torchdynamo"]], "My model reports \u201ccuda runtime error(2): out of memory\u201d": [[1918, "my-model-reports-cuda-runtime-error-2-out-of-memory"]], "My GPU memory isn\u2019t freed properly": [[1918, "my-gpu-memory-isn-t-freed-properly"]], "My out of memory exception handler can\u2019t allocate memory": [[1918, "my-out-of-memory-exception-handler-can-t-allocate-memory"]], "My data loader workers return identical random numbers": [[1918, "my-data-loader-workers-return-identical-random-numbers"]], "My recurrent network doesn\u2019t work with data parallelism": [[1918, "my-recurrent-network-doesn-t-work-with-data-parallelism"]], "torch.signal": [[1946, "module-torch.signal"]], "torch.signal.windows": [[1946, "module-torch.signal.windows"]], "Extending PyTorch": [[1916, "extending-pytorch"]], "Extending torch.autograd": [[1916, "extending-torch-autograd"]], "When to use": [[1916, "when-to-use"]], "When not to use": [[1916, "when-not-to-use"]], "How to use": [[1916, "how-to-use"]], "Example": [[1916, "example"], [1915, "example"]], "Combined or separate forward() and setup_context()": [[1916, "combined-or-separate-forward-and-setup-context"]], "Forward mode AD": [[1916, "forward-mode-ad"]], "torch.func transforms and/or torch.vmap()": [[1916, "torch-func-transforms-and-or-torch-vmap"]], "Extending torch.nn": [[1916, "extending-torch-nn"]], "Adding a Module": [[1916, "adding-a-module"]], "Extending torch Python API": [[1916, "extending-torch-python-api"]], "Extending torch with a Tensor-like type": [[1916, "extending-torch-with-a-tensor-like-type"]], "Subclassing torch.Tensor": [[1916, "subclassing-torch-tensor"]], "Extending torch with a Tensor wrapper type": [[1916, "extending-torch-with-a-tensor-wrapper-type"]], "Operations on multiple types that define __torch_function__": [[1916, "operations-on-multiple-types-that-define-torch-function"]], "Testing Coverage of Overrides for the PyTorch API": [[1916, "testing-coverage-of-overrides-for-the-pytorch-api"]], "Extending torch native API": [[1916, "extending-torch-native-api"]], "Extending all torch API with Modes": [[1916, "extending-all-torch-api-with-modes"]], "Writing custom C++ extensions": [[1916, "writing-custom-c-extensions"]], "torch.Storage": [[1949, "torch-storage"]], "torch.random": [[1942, "module-torch.random"]], "Distributed RPC Framework": [[1943, "distributed-rpc-framework"]], "RPC": [[1943, "rpc"]], "TensorPipe Backend": [[1943, "tensorpipe-backend"]], "RRef": [[1943, "rref"]], "More Information about RRef": [[1943, null]], "RemoteModule": [[1943, "remotemodule"]], "Distributed Autograd Framework": [[1943, "distributed-autograd-framework"]], "More Information about RPC Autograd": [[1943, null]], "Distributed Optimizer": [[1943, "distributed-optimizer"], [1944, "distributed-optimizer"]], "Quantization": [[1938, "module-torch.ao.quantization"]], "Introduction to Quantization": [[1938, "introduction-to-quantization"]], "Quantization API Summary": [[1938, "quantization-api-summary"]], "Eager Mode Quantization": [[1938, "eager-mode-quantization"]], "Post Training Dynamic Quantization": [[1938, "post-training-dynamic-quantization"]], "Post Training Static Quantization": [[1938, "post-training-static-quantization"]], "Quantization Aware Training for Static Quantization": [[1938, "quantization-aware-training-for-static-quantization"]], "Model Preparation for Eager Mode Static Quantization": [[1938, "model-preparation-for-eager-mode-static-quantization"]], "(Prototype - maintaince mode) FX Graph Mode Quantization": [[1938, "prototype-maintaince-mode-fx-graph-mode-quantization"]], "(Prototype) PyTorch 2 Export Quantization": [[1938, "prototype-pytorch-2-export-quantization"]], "Quantization Stack": [[1938, "quantization-stack"]], "Quantized Model": [[1938, "quantized-model"]], "Quantized Tensor": [[1938, "quantized-tensor"]], "Quantize and Dequantize": [[1938, "quantize-and-dequantize"]], "Quantized Operators/Modules": [[1938, "quantized-operators-modules"]], "Quantized Engine": [[1938, "quantized-engine"]], "Quantization Flow": [[1938, "quantization-flow"]], "Observer and FakeQuantize": [[1938, "observer-and-fakequantize"]], "General Quantization Flow": [[1938, "general-quantization-flow"]], "Quantization Support Matrix": [[1938, "quantization-support-matrix"]], "Quantization Mode Support": [[1938, "quantization-mode-support"]], "Quantization Flow Support": [[1938, "quantization-flow-support"]], "Backend/Hardware Support": [[1938, "backend-hardware-support"]], "Note for native CPU backends": [[1938, "note-for-native-cpu-backends"]], "Operator Support": [[1938, "operator-support"]], "Quantization API Reference": [[1938, "quantization-api-reference"], [1941, "quantization-api-reference"]], "Quantization Backend Configuration": [[1938, "quantization-backend-configuration"], [1940, "quantization-backend-configuration"]], "Quantization Accuracy Debugging": [[1938, "quantization-accuracy-debugging"], [1939, "quantization-accuracy-debugging"]], "Quantization Customizations": [[1938, "quantization-customizations"]], "Quantization Custom Module API": [[1938, "quantization-custom-module-api"]], "Best Practices": [[1938, "best-practices"]], "Common Errors": [[1938, "common-errors"]], "Passing a non-quantized Tensor into a quantized kernel": [[1938, "passing-a-non-quantized-tensor-into-a-quantized-kernel"]], "Passing a quantized Tensor into a non-quantized kernel": [[1938, "passing-a-quantized-tensor-into-a-non-quantized-kernel"]], "Saving and Loading Quantized models": [[1938, "saving-and-loading-quantized-models"]], "Symbolic Trace Error when using FX Graph Mode Quantization": [[1938, "symbolic-trace-error-when-using-fx-graph-mode-quantization"]], "torch.optim": [[1934, "module-torch.optim"]], "How to use an optimizer": [[1934, "how-to-use-an-optimizer"]], "Constructing it": [[1934, "constructing-it"]], "Per-parameter options": [[1934, "per-parameter-options"]], "Taking an optimization step": [[1934, "taking-an-optimization-step"]], "optimizer.step()": [[1934, "optimizer-step"]], "optimizer.step(closure)": [[1934, "optimizer-step-closure"]], "Base class": [[1934, "base-class"]], "Algorithms": [[1934, "algorithms"]], "How to adjust learning rate": [[1934, "how-to-adjust-learning-rate"]], "Weight Averaging (SWA and EMA)": [[1934, "weight-averaging-swa-and-ema"]], "Constructing averaged models": [[1934, "constructing-averaged-models"]], "Custom averaging strategies": [[1934, "custom-averaging-strategies"]], "SWA learning rate schedules": [[1934, "swa-learning-rate-schedules"]], "Taking care of batch normalization": [[1934, "taking-care-of-batch-normalization"]], "Putting it all together: SWA": [[1934, "putting-it-all-together-swa"]], "Putting it all together: EMA": [[1934, "putting-it-all-together-ema"]], "Gradcheck mechanics": [[1919, "gradcheck-mechanics"]], "Notations and background information": [[1919, "notations-and-background-information"]], "Default backward mode gradcheck behavior": [[1919, "default-backward-mode-gradcheck-behavior"]], "Real-to-real functions": [[1919, "real-to-real-functions"]], "Default real input numerical evaluation": [[1919, "default-real-input-numerical-evaluation"]], "Default real input analytical evaluation": [[1919, "default-real-input-analytical-evaluation"]], "Complex-to-real functions": [[1919, "complex-to-real-functions"]], "Default complex input numerical evaluation": [[1919, "default-complex-input-numerical-evaluation"]], "Default complex input analytical evaluation": [[1919, "default-complex-input-analytical-evaluation"]], "Functions with complex outputs": [[1919, "functions-with-complex-outputs"]], "Fast backward mode gradcheck": [[1919, "fast-backward-mode-gradcheck"]], "Fast gradcheck for real-to-real functions": [[1919, "fast-gradcheck-for-real-to-real-functions"]], "Fast gradcheck for complex-to-real functions": [[1919, "fast-gradcheck-for-complex-to-real-functions"]], "Fast complex input numerical evaluation": [[1919, "fast-complex-input-numerical-evaluation"]], "Fast complex input analytical evaluation": [[1919, "fast-complex-input-analytical-evaluation"]], "Why not use a complex u": [[1919, "why-not-use-a-complex-u"]], "Fast gradcheck for functions with complex outputs": [[1919, "fast-gradcheck-for-functions-with-complex-outputs"]], "Gradgradcheck implementation": [[1919, "gradgradcheck-implementation"]], "HIP (ROCm) semantics": [[1920, "hip-rocm-semantics"]], "HIP Interfaces Reuse the CUDA Interfaces": [[1920, "hip-interfaces-reuse-the-cuda-interfaces"]], "Checking for HIP": [[1920, "checking-for-hip"]], "TensorFloat-32(TF32) on ROCm": [[1920, "tensorfloat-32-tf32-on-rocm"]], "hipFFT/rocFFT plan cache": [[1920, "hipfft-rocfft-plan-cache"]], "torch.distributed backends": [[1920, "torch-distributed-backends"]], "CUDA API to HIP API mappings in C++": [[1920, "cuda-api-to-hip-api-mappings-in-c"]], "Refer to CUDA Semantics doc": [[1920, "refer-to-cuda-semantics-doc"]], "Enabling kernel asserts": [[1920, "enabling-kernel-asserts"]], "Example: AlexNet from PyTorch to ONNX": [[1932, "example-alexnet-from-pytorch-to-onnx"]], "Tracing vs Scripting": [[1932, "tracing-vs-scripting"]], "Avoiding Pitfalls": [[1932, "avoiding-pitfalls"]], "Avoid NumPy and built-in Python types": [[1932, "avoid-numpy-and-built-in-python-types"]], "Avoid Tensor.data": [[1932, "avoid-tensor-data"]], "Avoid in-place operations when using tensor.shape in tracing mode": [[1932, "avoid-in-place-operations-when-using-tensor-shape-in-tracing-mode"]], "Differences in Operator Implementations": [[1932, "differences-in-operator-implementations"]], "Unsupported Tensor Indexing Patterns": [[1932, "unsupported-tensor-indexing-patterns"]], "Reads / Gets": [[1932, "reads-gets"]], "Writes / Sets": [[1932, "writes-sets"]], "Adding support for operators": [[1932, "adding-support-for-operators"]], "ONNX exporter internals": [[1932, "onnx-exporter-internals"]], "ATen operators": [[1932, "aten-operators"]], "List of supported operators": [[1932, "list-of-supported-operators"]], "Adding support for an aten or quantized operator": [[1932, "adding-support-for-an-aten-or-quantized-operator"]], "torch.autograd.Functions": [[1932, "torch-autograd-functions"]], "Static Symbolic Method": [[1932, "static-symbolic-method"]], "Inline Autograd Function": [[1932, "inline-autograd-function"]], "Custom operators": [[1932, "custom-operators"]], "ONNX-script functions": [[1932, "onnx-script-functions"]], "C++ Operators": [[1932, "c-operators"]], "Discovering all unconvertible ATen ops at once": [[1932, "discovering-all-unconvertible-aten-ops-at-once"]], "Classes": [[1932, "classes"]], "torch.compiler": [[1958, "torch-compiler"]], "Getting Started for PyTorch Users": [[1958, null]], "HowTo for PyTorch Backend Vendors": [[1958, null]], "torch.special": [[1948, "torch-special"]], "torch.testing": [[1954, "module-torch.testing"]], "Numerical accuracy": [[1925, "numerical-accuracy"]], "Batched computations or slice computations": [[1925, "batched-computations-or-slice-computations"]], "Extremal values": [[1925, "extremal-values"]], "Linear algebra (torch.linalg)": [[1925, "linear-algebra-torch-linalg"]], "Non-finite values": [[1925, "non-finite-values"]], "Extremal values in linalg": [[1925, "extremal-values-in-linalg"]], "TensorFloat-32(TF32) on Nvidia Ampere (and later) devices": [[1925, "tensorfloat-32-tf32-on-nvidia-ampere-and-later-devices"]], "Reduced Precision Reduction for FP16 and BF16 GEMMs": [[1925, "reduced-precision-reduction-for-fp16-and-bf16-gemms"]], "Reduced Precision FP16 and BF16 GEMMs and Convolutions on AMD Instinct MI200 devices": [[1925, "reduced-precision-fp16-and-bf16-gemms-and-convolutions-on-amd-instinct-mi200-devices"]], "torch.package": [[1935, "torch-package"]], "Packaging your first model": [[1935, "packaging-your-first-model"]], "How do I\u2026": [[1935, "how-do-i"]], "See what is inside a package?": [[1935, "see-what-is-inside-a-package"]], "Treat the package like a ZIP archive": [[1935, "treat-the-package-like-a-zip-archive"]], "Use the file_structure() API": [[1935, "use-the-file-structure-api"]], "See why a given module was included as a dependency?": [[1935, "see-why-a-given-module-was-included-as-a-dependency"]], "Include arbitrary resources with my package and access them later?": [[1935, "include-arbitrary-resources-with-my-package-and-access-them-later"]], "Customize how a class is packaged?": [[1935, "customize-how-a-class-is-packaged"]], "Test in my source code whether or not it is executing inside a package?": [[1935, "test-in-my-source-code-whether-or-not-it-is-executing-inside-a-package"]], "Patch code into a package?": [[1935, "patch-code-into-a-package"]], "Access package contents from packaged code?": [[1935, "access-package-contents-from-packaged-code"]], "Distinguish between packaged code and non-packaged code?": [[1935, "distinguish-between-packaged-code-and-non-packaged-code"]], "Re-export an imported object?": [[1935, "re-export-an-imported-object"]], "Package a TorchScript module?": [[1935, "package-a-torchscript-module"]], "Explanation": [[1935, "explanation"]], "torch.package Format Overview": [[1935, "torch-package-format-overview"]], "Framework files": [[1935, "framework-files"]], "User files": [[1935, "user-files"]], "How torch.package finds your code\u2019s dependencies": [[1935, "how-torch-package-finds-your-code-s-dependencies"]], "Analyzing an object\u2019s dependencies": [[1935, "analyzing-an-object-s-dependencies"]], "Analyzing a module\u2019s dependencies": [[1935, "analyzing-a-module-s-dependencies"]], "Dependency Management": [[1935, "dependency-management"]], "intern": [[1935, "intern"]], "extern": [[1935, "extern"]], "mock": [[1935, "mock"]], "Refactoring": [[1935, "refactoring"]], "Patterns": [[1935, "patterns"]], "torch.package sharp edges": [[1935, "torch-package-sharp-edges"]], "Avoid global state in your modules": [[1935, "avoid-global-state-in-your-modules"]], "Types are not shared between packages and the loading environment": [[1935, "types-are-not-shared-between-packages-and-the-loading-environment"]], "How torch.package keeps packages isolated from each other": [[1935, "how-torch-package-keeps-packages-isolated-from-each-other"]], "Mangling": [[1935, "mangling"]], "torch.ao.ns._numeric_suite_fx": [[1957, "torch-ao-ns-numeric-suite-fx"]], "torch.ao.ns.fx.utils": [[1957, "torch-ao-ns-fx-utils"]], "Features for large-scale deployments": [[1921, "features-for-large-scale-deployments"]], "Fleet-wide operator profiling": [[1921, "fleet-wide-operator-profiling"]], "API usage logging": [[1921, "api-usage-logging"]], "Attaching metadata to saved TorchScript models": [[1921, "attaching-metadata-to-saved-torchscript-models"]], "Build environment considerations": [[1921, "build-environment-considerations"]], "Common extension points": [[1921, "common-extension-points"]], "Windows FAQ": [[1928, "windows-faq"]], "Building from source": [[1928, "building-from-source"]], "Include optional components": [[1928, "include-optional-components"]], "Speeding CUDA build for Windows": [[1928, "speeding-cuda-build-for-windows"]], "One key install script": [[1928, "one-key-install-script"]], "Extension": [[1928, "extension"]], "CFFI Extension": [[1928, "cffi-extension"]], "Cpp Extension": [[1928, "cpp-extension"]], "Installation": [[1928, "installation"]], "Package not found in win-32 channel.": [[1928, "package-not-found-in-win-32-channel"]], "Import error": [[1928, "import-error"]], "Usage (multiprocessing)": [[1928, "usage-multiprocessing"]], "Multiprocessing error without if-clause protection": [[1928, "multiprocessing-error-without-if-clause-protection"]], "Multiprocessing error \u201cBroken pipe\u201d": [[1928, "multiprocessing-error-broken-pipe"]], "Multiprocessing error \u201cdriver shut down\u201d": [[1928, "multiprocessing-error-driver-shut-down"]], "CUDA IPC operations": [[1928, "cuda-ipc-operations"]], "Data insensitive error": [[1939, "data-insensitive-error"]], "General tips": [[1939, "general-tips"]], "Int8 quantization tips": [[1939, "int8-quantization-tips"]], "Data sensitive error": [[1939, "data-sensitive-error"]], "Implementation error": [[1939, "implementation-error"]], "Numerical Debugging Tooling (prototype)": [[1939, "numerical-debugging-tooling-prototype"]], "Tensor Views": [[1951, "tensor-views"]], "Default values for native configurations": [[1940, "default-values-for-native-configurations"]], "Remote Reference Protocol": [[1945, "remote-reference-protocol"]], "Background": [[1945, "background"], [1944, "background"]], "RRef Lifetime": [[1945, "rref-lifetime"]], "Design Reasoning": [[1945, "design-reasoning"]], "Implementation": [[1945, "implementation"], [1915, "implementation"]], "Protocol Scenarios": [[1945, "protocol-scenarios"]], "User Share RRef with Owner as Return Value": [[1945, "user-share-rref-with-owner-as-return-value"]], "User Share RRef with Owner as Argument": [[1945, "user-share-rref-with-owner-as-argument"]], "Owner Share RRef with User": [[1945, "owner-share-rref-with-user"]], "User Share RRef with User": [[1945, "user-share-rref-with-user"]], "torch.sparse": [[1947, "torch-sparse"]], "Why and when to use sparsity": [[1947, "why-and-when-to-use-sparsity"]], "Functionality overview": [[1947, "functionality-overview"]], "Operator overview": [[1947, "operator-overview"]], "Sparse Semi-Structured Tensors": [[1947, "sparse-semi-structured-tensors"]], "Constructing Sparse Semi-Structured Tensors": [[1947, "constructing-sparse-semi-structured-tensors"]], "Sparse Semi-Structured Tensor Operations": [[1947, "sparse-semi-structured-tensor-operations"]], "Accelerating nn.Linear with semi-structured sparsity": [[1947, "accelerating-nn-linear-with-semi-structured-sparsity"]], "Sparse COO tensors": [[1947, "sparse-coo-tensors"]], "Sparse hybrid COO tensors": [[1947, "sparse-hybrid-coo-tensors"]], "Uncoalesced sparse COO tensors": [[1947, "uncoalesced-sparse-coo-tensors"]], "Working with sparse COO tensors": [[1947, "working-with-sparse-coo-tensors"]], "Sparse Compressed Tensors": [[1947, "sparse-compressed-tensors"]], "Sparse CSR Tensor": [[1947, 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"Serializing torch.nn.Modules and loading them in C++": [[1927, "serializing-torch-nn-modules-and-loading-them-in-c"]], "Saving and loading ScriptModules across PyTorch versions": [[1927, "saving-and-loading-scriptmodules-across-pytorch-versions"]], "torch.div performing integer division": [[1927, "torch-div-performing-integer-division"]], "torch.full always inferring a float dtype": [[1927, "torch-full-always-inferring-a-float-dtype"]], "Utility functions": [[1927, "utility-functions"], [1941, "utility-functions"]], "Extending torch.func with autograd.Function": [[1917, "extending-torch-func-with-autograd-function"]], "Basic Usage": [[1917, "basic-usage"]], "Example 1: autograd.Function calls into another system": [[1917, "example-1-autograd-function-calls-into-another-system"]], "Example 2: autograd.Function specifies custom gradient rules": [[1917, "example-2-autograd-function-specifies-custom-gradient-rules"]], "Limitations and gotchas": [[1917, "limitations-and-gotchas"]], "torch.vmap() Support": [[1917, "torch-vmap-support"]], "Automatically generate a vmap rule": [[1917, "automatically-generate-a-vmap-rule"]], "Defining the vmap staticmethod": [[1917, "defining-the-vmap-staticmethod"]], "torch.func.jvp() Support": [[1917, "torch-func-jvp-support"]], "torch.ao.ns._numeric_suite": [[1956, "torch-ao-ns-numeric-suite"]], "torch.Tensor": [[1953, "torch-tensor"]], "Data types": [[1953, "data-types"]], "Initializing and basic operations": [[1953, "initializing-and-basic-operations"]], "Tensor class reference": [[1953, "tensor-class-reference"]], "Distributed Autograd Design": [[1944, "distributed-autograd-design"]], "Autograd recording during the forward pass": [[1944, "autograd-recording-during-the-forward-pass"]], "Distributed Autograd Context": [[1944, "distributed-autograd-context"]], "Distributed Backward Pass": [[1944, "distributed-backward-pass"]], "Computing dependencies": [[1944, "computing-dependencies"]], "FAST mode algorithm": [[1944, 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