repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
pytorch | pytorch-main/torch/jit/_async.py | """Async API
This module contains the API for parallelism in TorchScript, notably:
* torch.jit.fork
* torch.jit.wait
This is not intended to be imported directly; please use the exposed
functionalities in `torch.jit`.
"""
import torch
from torch.utils import set_module
from torch.jit._builtins import _regist... | 3,789 | 36.9 | 102 | py |
pytorch | pytorch-main/torch/jit/_await.py | import torch
from torch.utils import set_module
from torch.jit._builtins import _register_builtin
from torch._jit_internal import _Await
set_module(_Await, "torch.jit")
def _awaitable(func, *args, **kwargs):
r"""
Creates Await object that will call specified functioni with specified args,
when it is requ... | 863 | 26 | 80 | py |
pytorch | pytorch-main/torch/jit/_builtins.py | import math
import cmath
import warnings
import torch
import torch.backends.cudnn as cudnn
from ..nn.modules.utils import _single, _pair, _triple, _quadruple, _list_with_default
from collections import OrderedDict
from typing import Dict, Optional
_builtin_table: Optional[Dict[int, str]] = None
_modules_containing... | 6,424 | 37.244048 | 183 | py |
pytorch | pytorch-main/torch/jit/_trace.py | """Tracing
This module contains functionality to support the JIT's tracing frontend, notably:
* torch.jit.trace
* torch.jit.trace_module
This is not intended to be imported directly; please use the exposed
functionalities in `torch.jit`.
"""
import torch
import copy
import os
import contextlib
import functoo... | 51,187 | 39.2738 | 130 | py |
pytorch | pytorch-main/torch/jit/unsupported_tensor_ops.py | import torch.jit
from textwrap import dedent
from typing import Dict, Any
def execWrapper(code, glob, loc):
exec(code, glob, loc)
def _gen_unsupported_methods_properties():
tensor_attrs = set(filter(lambda x: x[0] != "_", dir(torch.Tensor)))
tensor = torch.tensor([2])
funcs_template = dedent('''
... | 1,819 | 31.5 | 118 | py |
pytorch | pytorch-main/torch/jit/_check.py |
import ast
import inspect
import textwrap
import torch
import warnings
class AttributeTypeIsSupportedChecker(ast.NodeVisitor):
"""
Checks the ``__init__`` method of a given ``nn.Module`` to ensure
that all instance-level attributes can be properly initialized.
Specifically, we do type inference based... | 9,193 | 37.957627 | 100 | py |
pytorch | pytorch-main/torch/jit/_monkeytype_config.py |
import torch
import inspect
import typing
import pathlib
import sys
from typing import Optional, Iterable, List, Dict
from collections import defaultdict
from types import CodeType
_IS_MONKEYTYPE_INSTALLED = True
try:
import monkeytype # type: ignore[import]
from monkeytype import trace as monkeytype_trace
... | 7,129 | 37.75 | 111 | py |
pytorch | pytorch-main/torch/jit/__init__.py | import torch._C
from contextlib import contextmanager
from typing import Iterator, Any
import warnings
from torch.utils import set_module
# These are imported so users can access them from the `torch.jit` module
from torch._jit_internal import (
Final,
Future,
_Await,
_drop,
_IgnoreContextManager... | 8,239 | 27.912281 | 109 | py |
pytorch | pytorch-main/torch/jit/_decompositions.py |
import torch
from torch import Tensor
aten = torch.ops.aten
from typing import Optional, List, Dict, Set
import inspect
import warnings
from torch.types import Number
decomposition_table: Dict[str, torch.jit.ScriptFunction] = {}
function_name_set: Set[str] = set()
def check_decomposition_has_type_annotations(f):
... | 4,115 | 34.482759 | 113 | py |
pytorch | pytorch-main/torch/jit/_state.py | """JIT-related state
This module stores various pieces of Python-global state relating to the JIT.
This is not intended to be imported directly; please the exposed
functionalities in `torch.jit`.
"""
import torch
import os
import weakref
class EnabledProxy:
"""Stores whether the JIT is enabled or not.
This ... | 3,651 | 29.433333 | 87 | py |
pytorch | pytorch-main/torch/jit/_fuser.py | import contextlib
import torch
from typing import List, Tuple
@contextlib.contextmanager
def optimized_execution(should_optimize):
"""
A context manager that controls whether the JIT's executor will run
optimizations before executing a function.
"""
stored_flag = torch._C._get_graph_executor_optim... | 7,028 | 42.658385 | 106 | py |
pytorch | pytorch-main/torch/jit/_script.py | """TorchScript
This module contains functionality to support the JIT's scripting frontend, notably:
- torch.jit.script
This is not intended to be imported directly; please use the exposed
functionalities in `torch.jit`.
"""
import functools
import collections
import enum
import inspect
import copy
import pickle
i... | 61,832 | 37.986759 | 128 | py |
pytorch | pytorch-main/torch/jit/frontend.py | import torch
import sys
import ast
import dataclasses
import inspect
import string
import re
from collections import namedtuple
from textwrap import dedent
from typing import List, Tuple # noqa: F401
from torch._C._jit_tree_views import (
ClassDef, Ident, Stmt, Decl, Def, Var,
EmptyTypeAnnotation, Param, ExprS... | 42,820 | 39.550189 | 119 | py |
pytorch | pytorch-main/torch/jit/mobile/__init__.py | import torch
from torch.jit._serialization import validate_map_location
import pathlib
import os
def _load_for_lite_interpreter(f, map_location=None):
r"""
Load a :class:`LiteScriptModule`
saved with :func:`torch.jit._save_for_lite_interpreter`
Args:
f: a file-like object (has to implement r... | 8,063 | 35.990826 | 102 | py |
pytorch | pytorch-main/torch/jit/_passes/_property_propagation.py | """
Tools to help with tensor property propagation.
This is not intended to be imported directly; please use the exposed
functionalities in `torch.jit`.
"""
from typing import Any, List
import torch
from torch import TensorType
from torch._C import Graph
def apply_input_props_using_example(graph: Graph, example_in... | 1,375 | 31.761905 | 95 | py |
pytorch | pytorch-main/torch/_refs/fft.py | import math
from typing import Iterable, List, Literal, NamedTuple, Optional, Sequence, Tuple, Union
import torch
import torch._prims as prims
import torch._prims_common as utils
from torch._decomp import register_decomposition
from torch._prims_common import DimsType, ShapeType, TensorLikeType
from torch._prims_comm... | 17,194 | 29.113835 | 94 | py |
pytorch | pytorch-main/torch/_refs/_conversions.py | import torch
import torch._prims_common as utils
# Utilities should come BEFORE this import
from torch._decomp import register_decomposition
from torch._prims_common import TensorLikeType
from torch._prims_common.wrappers import out_wrapper
from torch._refs import _broadcast_shapes
# Data conversion references.
#
# ... | 3,506 | 28.470588 | 90 | py |
pytorch | pytorch-main/torch/_refs/__init__.py | import builtins
import collections
import inspect
import math
import operator
import warnings
from collections.abc import Iterable
from enum import Enum
from functools import partial, reduce, singledispatch, wraps
from typing import Callable, List, Optional, overload, Sequence, Tuple, Union
import torch
import torch... | 178,113 | 30.474465 | 128 | py |
pytorch | pytorch-main/torch/_refs/nn/functional/__init__.py | import math
from functools import wraps
from typing import Callable, Optional, Union
import torch
import torch._prims as prims
import torch._prims_common as utils
import torch._refs as refs
from torch._decomp import register_decomposition
from torch._prims_common import (
ELEMENTWISE_TYPE_PROMOTION_KIND,
Numbe... | 39,020 | 31.901349 | 116 | py |
pytorch | pytorch-main/torch/_refs/linalg/__init__.py | from functools import partial
from typing import List, Optional, Tuple, Union
import torch
import torch._prims as prims
import torch._prims_common as utils
import torch._refs as refs
import torch._refs.linalg as linalg
from torch import Tensor
from torch._prims_common import (
check_fp_or_complex,
check_is_... | 8,961 | 33.469231 | 121 | py |
pytorch | pytorch-main/torch/_refs/special/__init__.py | import math
from typing import Optional, Union
import torch
import torch._prims as prims
import torch._prims_common as utils
import torch._refs as refs
from torch import Tensor
from torch._decomp import register_decomposition
from torch._prims_common import (
ELEMENTWISE_TYPE_PROMOTION_KIND,
Number,
Numbe... | 6,753 | 27.49789 | 99 | py |
pytorch | pytorch-main/torch/special/__init__.py | import torch
from torch._C import _add_docstr, _special # type: ignore[attr-defined]
from torch._torch_docs import common_args, multi_dim_common
__all__ = [
'airy_ai',
'bessel_j0',
'bessel_j1',
'bessel_y0',
'bessel_y1',
'chebyshev_polynomial_t',
'chebyshev_polynomial_u',
'chebyshev_pol... | 32,694 | 24.463396 | 118 | py |
pytorch | pytorch-main/torch/_functorch/top_operators_github_usage.py | """
From https://docs.google.com/spreadsheets/d/12R3nCOLskxPYjjiNkdqy4OdQ65eQp_htebXGODsjSeA/edit#gid=0
Try to keep this list in sync with that.
"""
top_torch = [
("t", 6837449),
("tensor", 585786),
("mode", 462182),
("cat", 394818),
("max", 368038),
("zeros", 329495),
("load", 327756),
... | 21,376 | 33.258013 | 99 | py |
pytorch | pytorch-main/torch/_functorch/make_functional.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import copy
from typing import (
Any,
Callable,
Dict,
Iterable,
List,
NoReturn,
Seque... | 22,759 | 35.948052 | 111 | py |
pytorch | pytorch-main/torch/_functorch/deprecated.py | import torch._functorch.vmap as _vmap_impl
import torch._functorch.eager_transforms as _impl
import torch._functorch.apis as apis
import torch._functorch.make_functional as _nn_impl
from torch._functorch.vmap import in_dims_t, out_dims_t
from torch._functorch.eager_transforms import argnums_t
import torch.nn as nn
impo... | 5,128 | 39.385827 | 104 | py |
pytorch | pytorch-main/torch/_functorch/pytree_hacks.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from torch.utils._pytree import tree_flatten, tree_unflatten
def tree_map_(fn_, pytree):
flat_args, _ = tre... | 612 | 23.52 | 71 | py |
pytorch | pytorch-main/torch/_functorch/batch_norm_replacement.py | import torch.nn as nn
from torch._functorch.utils import exposed_in
def batch_norm_without_running_stats(module: nn.Module):
if isinstance(module, nn.modules.batchnorm._BatchNorm) and module.track_running_stats:
module.running_mean = None
module.running_var = None
module.num_batches_tracke... | 825 | 32.04 | 100 | py |
pytorch | pytorch-main/torch/_functorch/partitioners.py | from torch.fx.experimental.proxy_tensor import is_sym_node, py_sym_types
from torch.fx.experimental.symbolic_shapes import (
hint_int, magic_methods, method_to_operator, free_symbols,
is_symbol_binding_fx_node, find_symbol_binding_fx_nodes
)
import torch
import torch.fx as fx
import operator
import math
import ... | 38,861 | 41.611842 | 976 | py |
pytorch | pytorch-main/torch/_functorch/benchmark_utils.py | import contextlib
import time
import os
import json
import torch
from torch.profiler import profile, ProfilerActivity
def synchronize():
pass
def dump_chrome_trace(f, input, trace_filename, optimize_ctx, activities, num_runs=1,
devices=None, kwargs_for_f=None, kwargs_for_profiler=None):
... | 6,086 | 30.376289 | 117 | py |
pytorch | pytorch-main/torch/_functorch/compile_utils.py |
import torch
import torch.fx as fx
from torch.utils._pytree import tree_flatten
aten = torch.ops.aten
def get_aten_target(node):
if hasattr(node.target, 'overloadpacket'):
return node.target.overloadpacket
return node.target
rand_ops = [aten.dropout, aten._fused_dropout, aten._standard_gamma,
... | 3,532 | 37.824176 | 109 | py |
pytorch | pytorch-main/torch/_functorch/functional_call.py | from collections import Counter
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
import torch
import torch.nn as nn
from torch import Tensor
from torch._functorch.utils import exposed_in
@exposed_in("torch.func")
def functional_call(
module: "torch.nn.Module",
parameter_and_buffer_dicts: ... | 10,376 | 40.674699 | 122 | py |
pytorch | pytorch-main/torch/_functorch/python_key.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
__all__ = ["make_fx", "dispatch_trace", "PythonKeyTracer", "pythonkey_decompose"]
from torch.fx.experimental.proxy... | 420 | 41.1 | 98 | py |
pytorch | pytorch-main/torch/_functorch/utils.py | import contextlib
import torch
from torch._C._functorch import (
set_single_level_autograd_function_allowed,
get_single_level_autograd_function_allowed,
unwrap_if_dead,
)
@contextlib.contextmanager
def enable_single_level_autograd_function():
try:
prev_state = get_single_level_autograd_function... | 1,311 | 32.641026 | 87 | py |
pytorch | pytorch-main/torch/_functorch/pyfunctorch.py | from abc import ABC, abstractmethod
import contextlib
from typing import Any
import torch
import torch.utils._pytree as pytree
from torch._C._functorch import (
TransformType,
RandomnessType,
CInterpreter,
CGradInterpreterPtr,
CFunctionalizeInterpreterPtr,
CVmapInterpreterPtr,
CJvpInterprete... | 8,007 | 35.56621 | 90 | py |
pytorch | pytorch-main/torch/_functorch/aot_autograd.py | import collections
import dataclasses
import itertools
import logging
import warnings
import pprint
from contextlib import contextmanager, nullcontext
from dataclasses import dataclass
from enum import Enum
from functools import partial, wraps
from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union, N... | 187,674 | 44.964977 | 132 | py |
pytorch | pytorch-main/torch/_functorch/config.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
Global flags for aot autograd
"""
import os
import sys
# Converts torch rng ops to their functional philox r... | 1,219 | 28.756098 | 78 | py |
pytorch | pytorch-main/torch/_functorch/eager_transforms.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Callable, Union, Tuple, List, Any, Optional
import torch
from functools import partial, wraps
... | 69,988 | 41.780562 | 118 | py |
pytorch | pytorch-main/torch/_functorch/apis.py | # NOTE: We allow Dynamo to see this file (via torch/_dynamo/skipfiles.py) so that it can
# trace through `grad`.
# Currently, we can't allow Dynamo to see `eager_transforms.py` as that break a lot of thing
# and there isn't a mechanism to selectively expose only some functions (eg. grad) from a file
#... | 4,743 | 42.925926 | 100 | py |
pytorch | pytorch-main/torch/_functorch/vmap.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
import functools
from torch import Tensor
from typing import Any, Callable, Optional, Tuple, Union, ... | 29,180 | 42.16716 | 119 | py |
pytorch | pytorch-main/torch/_functorch/fx_minifier.py | import torch.fx as fx
import copy
import torch
import math
import sys
from typing import Callable, List
from functools import wraps, partial
from dataclasses import dataclass
from .compile_utils import get_placeholders, get_outputs
from torch.utils._content_store import ContentStoreWriter
from torch.hub import tqdm
fro... | 15,938 | 36.415493 | 113 | py |
pytorch | pytorch-main/torch/_functorch/compilers.py | import copy
import logging
import os
import pickle
import random
from contextlib import contextmanager
from functools import partial
from typing import Callable, Union
import sympy
import torch
from torch import SymInt
import torch.fx as fx
import torch.nn as nn
from torch._decomp import get_decompositions
from torch.... | 14,039 | 30.764706 | 150 | py |
pytorch | pytorch-main/torch/_functorch/autograd_function.py | import torch
from torch._ops import HigherOrderOperator
from torch._C._functorch import TransformType
from torch._functorch.utils import enable_single_level_autograd_function
import torch.utils._pytree as pytree
from torch._C._functorch import (
_wrap_for_grad,
_unwrap_for_grad,
current_level,
)
from torch.... | 25,183 | 38.659843 | 102 | py |
pytorch | pytorch-main/torch/monitor/__init__.py | from torch._C._monitor import * # noqa: F403
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from torch.utils.tensorboard import SummaryWriter
STAT_EVENT = "torch.monitor.Stat"
class TensorboardEventHandler:
"""
TensorboardEventHandler is an event handler that will write known events to
the pr... | 1,213 | 30.947368 | 85 | py |
pytorch | pytorch-main/torch/mps/__init__.py | r"""
This package enables an interface for accessing MPS (Metal Performance Shaders) backend in Python.
Metal is Apple's API for programming metal GPU (graphics processor unit). Using MPS means that increased
performance can be achieved, by running work on the metal GPU(s).
See https://developer.apple.com/documentation... | 4,200 | 37.190909 | 104 | py |
pytorch | pytorch-main/torch/mps/profiler.py | import torch
import contextlib
__all__ = ["start", "stop", "profile"]
def start(mode: str = "interval", wait_until_completed: bool = False) -> None:
r"""Start OS Signpost tracing from MPS backend.
The generated OS Signposts could be recorded and viewed in
XCode Instruments Logging tool.
Args:
... | 2,341 | 40.821429 | 86 | py |
pytorch | pytorch-main/torch/onnx/operators.py | r"""This file provides a location for operators that help exporting models via onnx.
E.g. `shape_as_tensor` and `reshape_from_tensor_shape`
are to make all dynamic sizes operations traceable.
NOTE: at one point these functions were implemented differently.
Since then we have implemented these directly in ATen, so thi... | 560 | 25.714286 | 84 | py |
pytorch | pytorch-main/torch/onnx/_type_utils.py | """Utilities for converting and operating on ONNX, JIT and torch types."""
from __future__ import annotations
import enum
import typing
from typing import Dict, Literal, Optional, Union
import torch
from torch._C import _onnx as _C_onnx
from torch.onnx import errors
from torch.onnx._internal import _beartype
if typi... | 11,773 | 33.326531 | 125 | py |
pytorch | pytorch-main/torch/onnx/symbolic_helper.py | from __future__ import annotations
import functools
import inspect
import sys
import typing
import warnings
from typing import (
Any,
Callable,
List,
Literal,
NoReturn,
Optional,
Sequence,
Set,
Tuple,
Union,
)
import torch
import torch._C._onnx as _C_onnx
from torch import _C
... | 63,356 | 33.302653 | 115 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset16.py | """This file exports ONNX ops for opset 16.
Note [ONNX Operators that are added/updated in opset 16]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
https://github.com/onnx/onnx/blob/main/docs/Changelog.md#version-16-of-the-default-onnx-operator-set
New operators:
GridSample https://github.com/onnx/onnx/... | 6,565 | 33.925532 | 118 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset14.py | """This file exports ONNX ops for opset 14.
Note [ONNX operators that are added/updated in opset 14]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
New operators:
HardSwish, Trilu
Updated operators:
Reshape
Add, Sub, Mul, Div
GRU, LSTM, RNN
BatchNorm, Cumsum, Relu
"""
# EDITING THIS FIL... | 9,228 | 31.72695 | 139 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset9.py | """This file exports ONNX ops for opset 9.
Opset 9 is supported by ONNX release 1.4.1
release on 01/23/19
"""
from __future__ import annotations
import builtins
import functools
import math
import sys
import warnings
from typing import Callable, List, Optional, Sequence, Tuple, Union
import torch
import torch._C._on... | 240,458 | 32.415648 | 128 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset8.py | """
Note [ONNX operators that are added/updated from opset 8 to opset 9]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
New operators:
Compress
ConstantOfShape
EyeLike
MaxUnpool
OneHot
Sinh
Cosh
Asinh
Acosh
Atanh
Shrink
IsNaN
Sign
Erf
Sca... | 15,059 | 30.974522 | 110 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset12.py | from __future__ import annotations
import functools
import sys
from typing import Optional, Tuple
import torch
from torch._C import _onnx as _C_onnx
from torch.onnx import (
_type_utils,
errors,
symbolic_helper,
symbolic_opset9 as opset9,
utils,
)
from torch.onnx._internal import _beartype, jit_ut... | 16,193 | 32.320988 | 107 | py |
pytorch | pytorch-main/torch/onnx/errors.py | """ONNX exporter exceptions."""
from __future__ import annotations
import textwrap
from typing import Optional
from torch import _C
from torch.onnx import _constants
from torch.onnx._internal import diagnostics
__all__ = [
"OnnxExporterError",
"OnnxExporterWarning",
"CheckerError",
"UnsupportedOperat... | 3,582 | 32.485981 | 89 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset11.py | """This file exports ONNX ops for opset 11."""
from __future__ import annotations
import functools
import sys
import warnings
from typing import Optional, Sequence, Union
import torch
from torch import _C
from torch._C import _onnx as _C_onnx
from torch.onnx import (
_type_utils,
errors,
symbolic_helper,
... | 61,599 | 35.04447 | 126 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset17.py | """This file exports ONNX ops for opset 17.
Note [ONNX Operators that are added/updated in opset 17]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
https://github.com/onnx/onnx/blob/main/docs/Changelog.md#version-17-of-the-default-onnx-operator-set
New operators:
BlackmanWindow
DFT
HammingWindow... | 6,773 | 32.534653 | 100 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset7.py | """
Note [ONNX operators that are added/updated from opset 7 to opset 8]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
New operators:
Expand
Updated operators:
Min, Max, Sum, Mean: supports multidirectional broadcasting.
MaxPool: added optional indices output.
Scan
"""
import functools
... | 2,091 | 30.223881 | 90 | py |
pytorch | pytorch-main/torch/onnx/utils.py | """Functions to export models into the ONNX IR format.
These models can be loaded with the ONNX library and then
converted to models which run on other deep learning frameworks.
"""
from __future__ import annotations
import contextlib
import copy
import inspect
import io
import re
import textwrap
import typing
import... | 81,428 | 38.054676 | 120 | py |
pytorch | pytorch-main/torch/onnx/symbolic_caffe2.py | import importlib
import inspect
from torch.onnx import symbolic_helper, symbolic_opset9 as opset9
from torch.onnx._internal import jit_utils, registration
def register_quantized_ops(domain: str, version: int):
# Register all quantized ops
module = importlib.import_module("torch.onnx.symbolic_caffe2")
qua... | 10,908 | 29.302778 | 108 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset18.py | """This file exports ONNX ops for opset 18.
Note [ONNX Operators that are added/updated in opset 18]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
https://github.com/onnx/onnx/blob/main/docs/Changelog.md#version-18-of-the-default-onnx-operator-set
New operators:
CenterCropPad
Col2Im
Mish
Op... | 1,736 | 23.464789 | 100 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset10.py | import functools
import sys
import warnings
from typing import Callable, List, Optional, Union
import torch
import torch._C._onnx as _C_onnx
import torch.onnx
from torch import _C
# Monkey-patch graph manipulation methods on Graph, used for the ONNX symbolics
from torch.onnx import (
_constants,
_type_utils,
... | 33,290 | 30.949136 | 128 | py |
pytorch | pytorch-main/torch/onnx/_exporter_states.py | from __future__ import annotations
from typing import Dict
from torch import _C
class ExportTypes:
r"""Specifies how the ONNX model is stored."""
PROTOBUF_FILE = "Saves model in the specified protobuf file."
ZIP_ARCHIVE = "Saves model in the specified ZIP file (uncompressed)."
COMPRESSED_ZIP_ARCHIV... | 1,365 | 33.15 | 105 | py |
pytorch | pytorch-main/torch/onnx/_onnx_supported_ops.py | import inspect
from typing import Dict, List, Union
from torch import _C
from torch.onnx import _constants
from torch.onnx._internal import registration
class _TorchSchema:
def __init__(self, schema: Union[_C.FunctionSchema, str]) -> None:
if isinstance(schema, _C.FunctionSchema):
self.name: ... | 3,304 | 32.72449 | 88 | py |
pytorch | pytorch-main/torch/onnx/verification.py | """Functions to verify exported ONNX model is functionally equivalent to original PyTorch model.
ONNX Runtime is required, and is used as the ONNX backend for export verification.
"""
from __future__ import annotations
import contextlib
import copy
import dataclasses
import datetime
import difflib
import enum
import... | 69,953 | 36.110875 | 107 | py |
pytorch | pytorch-main/torch/onnx/_globals.py | """Globals used internally by the ONNX exporter.
Do not use this module outside of `torch.onnx` and its tests.
Be very judicious when adding any new global variables. Do not create new global
variables unless they are absolutely necessary.
"""
import torch._C._onnx as _C_onnx
# This module should only depend on _con... | 2,968 | 33.523256 | 85 | py |
pytorch | pytorch-main/torch/onnx/__init__.py | """ONNX exporter."""
from torch import _C
from torch._C import _onnx as _C_onnx
from torch._C._onnx import (
_CAFFE2_ATEN_FALLBACK,
OperatorExportTypes,
TensorProtoDataType,
TrainingMode,
)
from . import ( # usort:skip. Keep the order instead of sorting lexicographically
_deprecation,
errors,... | 3,820 | 23.651613 | 93 | py |
pytorch | pytorch-main/torch/onnx/_constants.py | """Constant values used in ONNX."""
ONNX_ARCHIVE_MODEL_PROTO_NAME = "__MODEL_PROTO"
ONNX_BASE_OPSET = 9
ONNX_MIN_OPSET = 7
ONNX_MAX_OPSET = 18
# ONNX_DEFAULT_OPSET generated by tools/onnx/update_default_opset_version.py
ONNX_DEFAULT_OPSET = 14
ONNX_CONSTANT_FOLDING_MIN_OPSET = 9
PYTORCH_GITHUB_ISSUES_URL = "https://... | 567 | 21.72 | 76 | py |
pytorch | pytorch-main/torch/onnx/_experimental.py | """Experimental classes and functions used by ONNX export."""
import dataclasses
from typing import Mapping, Optional, Sequence, Set, Type, Union
import torch
import torch._C._onnx as _C_onnx
@dataclasses.dataclass
class ExportOptions:
"""Arguments used by :func:`torch.onnx.export`.
TODO: Adopt this in `to... | 1,042 | 34.965517 | 88 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset15.py | """This file exports ONNX ops for opset 15.
Note [ONNX operators that are added/updated in opset 15]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
https://github.com/onnx/onnx/blob/master/docs/Changelog.md#version-15-of-the-default-onnx-operator-set
New operators:
Bernoulli
CastLike
Optional
... | 2,935 | 34.373494 | 102 | py |
pytorch | pytorch-main/torch/onnx/symbolic_opset13.py | # EDITING THIS FILE? READ THIS FIRST!
# see Note [Edit Symbolic Files] in README.md
# This file exports ONNX ops for opset 13
import functools
import torch
import torch._C._onnx as _C_onnx
from torch.onnx import (
_constants,
_type_utils,
errors,
symbolic_helper,
symbolic_opset11 as opset11,
s... | 41,287 | 35.377093 | 141 | py |
pytorch | pytorch-main/torch/onnx/_internal/exporter.py | # necessary to surface onnx.ModelProto through ExportOutput:
from __future__ import annotations
import abc
import contextlib
import dataclasses
import io
import logging
import os
from typing import (
Any,
Callable,
Dict,
Final,
Mapping,
Optional,
Protocol,
runtime_checkable,
Sequen... | 35,255 | 38.129856 | 121 | py |
pytorch | pytorch-main/torch/onnx/_internal/registration.py | """Module for handling symbolic function registration."""
import warnings
from typing import (
Callable,
Collection,
Dict,
Generic,
Optional,
Sequence,
Set,
TypeVar,
Union,
)
from torch.onnx import _constants, errors
from torch.onnx._internal import _beartype
OpsetVersion = int
... | 11,072 | 31.567647 | 110 | py |
pytorch | pytorch-main/torch/onnx/_internal/jit_utils.py | """Utilities for manipulating the torch.Graph object and the torchscript."""
from __future__ import annotations
# TODO(justinchuby): Move more of the symbolic helper functions here and expose
# them to the user.
import dataclasses
import re
import typing
from typing import Any, Dict, Iterable, Optional, Sequence, Tup... | 14,778 | 35.9475 | 118 | py |
pytorch | pytorch-main/torch/onnx/_internal/io_adapter.py | from __future__ import annotations
import inspect
from typing import (
Any,
Callable,
List,
Mapping,
Optional,
Protocol,
runtime_checkable,
Sequence,
Tuple,
Union,
)
import torch
from torch.onnx._internal import _beartype
from torch.utils import _pytree as pytree
# TODO(bowb... | 14,920 | 33.539352 | 105 | py |
pytorch | pytorch-main/torch/onnx/_internal/onnx_proto_utils.py | """Utilities for manipulating the onnx and onnx-script dependencies and ONNX proto."""
from __future__ import annotations
import glob
import io
import os
import shutil
import zipfile
from typing import Any, List, Mapping, Set, Tuple, Union
import torch
import torch.jit._trace
import torch.serialization
from torch.on... | 11,169 | 36.864407 | 110 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/_rules.py | """
GENERATED CODE - DO NOT EDIT DIRECTLY
This file is generated by gen_diagnostics.py.
See tools/onnx/gen_diagnostics.py for more information.
Diagnostic rules for PyTorch ONNX export.
"""
import dataclasses
from typing import Tuple
# flake8: noqa
from torch.onnx._internal.diagnostics import infra
"""
GENERATED CO... | 50,174 | 46.604364 | 1,589 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/_diagnostic.py | """Diagnostic components for TorchScript based ONNX export, i.e. `torch.onnx.export`."""
from __future__ import annotations
import contextlib
import gzip
from collections.abc import Generator
from typing import List, Optional, Type
import torch
from torch.onnx._internal.diagnostics import infra
from torch.onnx._inte... | 7,557 | 34.153488 | 93 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/decorator.py | from __future__ import annotations
import functools
import traceback
from typing import Any, Callable, Dict, Optional, Tuple, Type
from torch.onnx._internal import _beartype
from torch.onnx._internal.diagnostics import infra
from torch.onnx._internal.diagnostics.infra import formatter, utils
MessageFormatterType = ... | 5,382 | 34.886667 | 92 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/context.py | """A diagnostic context based on SARIF."""
from __future__ import annotations
import contextlib
import dataclasses
import gzip
import logging
from typing import Callable, Generator, List, Literal, Mapping, Optional, TypeVar
from torch.onnx._internal.diagnostics import infra
from torch.onnx._internal.diagnostics.i... | 13,322 | 36.111421 | 102 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/utils.py | from __future__ import annotations
import functools
import inspect
import traceback
from typing import Any, Callable, Dict, Mapping, Optional, Sequence, Tuple
from torch.onnx._internal import _beartype
from torch.onnx._internal.diagnostics.infra import _infra, formatter
@_beartype.beartype
def python_frame(frame: ... | 2,507 | 32 | 90 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/_infra.py | """This file defines an additional layer of abstraction on top of the SARIF OM."""
from __future__ import annotations
import dataclasses
import enum
import pprint
from typing import FrozenSet, List, Mapping, Optional, Sequence, Tuple
from torch.onnx._internal.diagnostics.infra import formatter, sarif
class Level(e... | 11,112 | 33.088957 | 91 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/formatter.py | from __future__ import annotations
import dataclasses
import json
import re
from typing import Any, Callable, Dict, List, Optional, Union
from torch.onnx._internal import _beartype
from torch.onnx._internal.diagnostics.infra import sarif
# A list of types in the SARIF module to support pretty printing.
# This is so... | 3,334 | 24.265152 | 83 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Optional
from torch.onnx._internal.diagnostics.infra.sarif import _property_bag
@dataclasses.dataclass
clas... | 805 | 30 | 81 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_multiformat_message_string,
_pro... | 1,494 | 32.222222 | 80 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_exception.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import List, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_exception,
_property_bag,
... | 1,168 | 29.763158 | 93 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_location.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import List, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_location_relationship,
_lo... | 1,610 | 30.588235 | 84 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Optional
from torch.onnx._internal.diagnostics.infra.sarif import _message, _property_bag
@dataclasses.data... | 1,159 | 30.351351 | 80 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Any, List, Literal, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_artifact_locatio... | 4,987 | 39.225806 | 90 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import List, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_artifact_location,
_invoca... | 1,162 | 31.305556 | 153 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_address,
_artifact_location,
... | 1,337 | 31.634146 | 166 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Literal, Optional
from torch.onnx._internal.diagnostics.infra.sarif import _location, _property_bag
@datacl... | 1,249 | 32.783784 | 88 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import List, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_message,
_property_bag,
... | 935 | 28.25 | 114 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import List, Literal, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_external_properties,
... | 1,237 | 31.578947 | 134 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import List, Literal, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_address,
_artifac... | 3,816 | 37.555556 | 85 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_artifact_location,
_property_bag... | 1,436 | 32.418605 | 107 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_property_bag,
_reporting_configu... | 1,004 | 30.40625 | 92 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Optional
from torch.onnx._internal.diagnostics.infra.sarif import _property_bag
@dataclasses.dataclass
clas... | 1,314 | 31.875 | 80 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_result.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Any, List, Literal, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_artifact_locatio... | 5,068 | 38.294574 | 87 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Any, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_artifact_content,
_property... | 1,611 | 31.897959 | 80 | py |
pytorch | pytorch-main/torch/onnx/_internal/diagnostics/infra/sarif/_fix.py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import List, Optional
from torch.onnx._internal.diagnostics.infra.sarif import (
_artifact_change,
_message,... | 1,069 | 32.4375 | 225 | py |
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