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/test/package/test_mangling.py | # Owner(s): ["oncall: package/deploy"]
from io import BytesIO
from torch.package import PackageExporter, PackageImporter
from torch.package._mangling import (
demangle,
get_mangle_prefix,
is_mangled,
PackageMangler,
)
from torch.testing._internal.common_utils import run_tests
try:
from .common im... | 3,770 | 32.371681 | 89 | py |
pytorch | pytorch-main/test/package/test_repackage.py | # Owner(s): ["oncall: package/deploy"]
from io import BytesIO
from torch.package import PackageExporter, PackageImporter, sys_importer
from torch.testing._internal.common_utils import run_tests
try:
from .common import PackageTestCase
except ImportError:
# Support the case where we run this file directly.
... | 1,361 | 27.978723 | 80 | py |
pytorch | pytorch-main/test/package/test_analyze.py | # Owner(s): ["oncall: package/deploy"]
import torch
from torch.package import analyze
from torch.testing._internal.common_utils import run_tests
try:
from .common import PackageTestCase
except ImportError:
# Support the case where we run this file directly.
from common import PackageTestCase
class TestA... | 719 | 23 | 75 | py |
pytorch | pytorch-main/test/package/test_load_bc_packages.py | # Owner(s): ["oncall: package/deploy"]
from pathlib import Path
from unittest import skipIf
from torch.package import PackageImporter
from torch.testing._internal.common_utils import IS_FBCODE, IS_SANDCASTLE, run_tests
try:
from .common import PackageTestCase
except ImportError:
# Support the case where we r... | 1,762 | 32.903846 | 88 | py |
pytorch | pytorch-main/test/package/test_dependency_hooks.py | # Owner(s): ["oncall: package/deploy"]
from io import BytesIO
from torch.package import PackageExporter
from torch.testing._internal.common_utils import run_tests
try:
from .common import PackageTestCase
except ImportError:
# Support the case where we run this file directly.
from common import PackageTes... | 3,969 | 31.276423 | 95 | py |
pytorch | pytorch-main/test/package/test_importer.py | # Owner(s): ["oncall: package/deploy"]
from io import BytesIO
import torch
from torch.package import (
Importer,
OrderedImporter,
PackageExporter,
PackageImporter,
sys_importer,
)
from torch.testing._internal.common_utils import run_tests
try:
from .common import PackageTestCase
except Import... | 5,638 | 33.808642 | 87 | py |
pytorch | pytorch-main/test/package/test_glob_group.py | # Owner(s): ["oncall: package/deploy"]
from typing import Iterable
from torch.package import GlobGroup
from torch.testing._internal.common_utils import run_tests
try:
from .common import PackageTestCase
except ImportError:
# Support the case where we run this file directly.
from common import PackageTest... | 4,364 | 35.375 | 87 | py |
pytorch | pytorch-main/test/package/test_dependency_api.py | # Owner(s): ["oncall: package/deploy"]
import importlib
from io import BytesIO
from sys import version_info
from textwrap import dedent
from unittest import skipIf
import torch.nn
from torch.package import EmptyMatchError, Importer, PackageExporter, PackageImporter
from torch.package.package_exporter import Packagin... | 13,677 | 34.619792 | 121 | py |
pytorch | pytorch-main/test/package/test_directory_reader.py | # -*- coding: utf-8 -*-
# Owner(s): ["oncall: package/deploy"]
import os
import zipfile
from sys import version_info
from tempfile import TemporaryDirectory
from textwrap import dedent
from unittest import skipIf
import torch
from torch.package import PackageExporter, PackageImporter
from torch.testing._internal.comm... | 10,586 | 35.888502 | 111 | py |
pytorch | pytorch-main/test/package/test_misc.py | # -*- coding: utf-8 -*-
# Owner(s): ["oncall: package/deploy"]
import inspect
import os
import platform
import sys
from io import BytesIO
from pathlib import Path
from textwrap import dedent
from unittest import skipIf
from torch.package import is_from_package, PackageExporter, PackageImporter
from torch.package.pack... | 12,025 | 33.36 | 103 | py |
pytorch | pytorch-main/test/package/test_save_load.py | # Owner(s): ["oncall: package/deploy"]
import pickle
from io import BytesIO
from textwrap import dedent
from torch.package import PackageExporter, PackageImporter, sys_importer
from torch.testing._internal.common_utils import run_tests
try:
from .common import PackageTestCase
except ImportError:
# Support th... | 9,489 | 34.543071 | 95 | py |
pytorch | pytorch-main/test/package/test_digraph.py | # Owner(s): ["oncall: package/deploy"]
from torch.package._digraph import DiGraph
from torch.testing._internal.common_utils import run_tests
try:
from .common import PackageTestCase
except ImportError:
# Support the case where we run this file directly.
from common import PackageTestCase
class TestDiGra... | 3,717 | 27.166667 | 88 | py |
pytorch | pytorch-main/test/package/test_package_script.py | # Owner(s): ["oncall: package/deploy"]
from io import BytesIO
from textwrap import dedent
from unittest import skipIf
import torch
from torch.package import PackageExporter, PackageImporter
from torch.testing._internal.common_utils import IS_FBCODE, IS_SANDCASTLE, run_tests
try:
from .common import PackageTestCa... | 28,074 | 35.086118 | 88 | py |
pytorch | pytorch-main/test/package/test_resources.py | # -*- coding: utf-8 -*-
# Owner(s): ["oncall: package/deploy"]
from io import BytesIO
from sys import version_info
from textwrap import dedent
from unittest import skipIf
from torch.package import PackageExporter, PackageImporter
from torch.testing._internal.common_utils import run_tests
try:
from .common import... | 5,505 | 35.463576 | 87 | py |
pytorch | pytorch-main/test/package/common.py | import os
import sys
from tempfile import NamedTemporaryFile
import torch.package.package_exporter
from torch.testing._internal.common_utils import IS_WINDOWS, TestCase
class PackageTestCase(TestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._temporary_files = ... | 1,288 | 29.690476 | 78 | py |
pytorch | pytorch-main/test/package/generate_bc_packages.py | from pathlib import Path
import torch
from torch.fx import symbolic_trace
from torch.package import PackageExporter
from torch.testing._internal.common_utils import IS_FBCODE, IS_SANDCASTLE
packaging_directory = f"{Path(__file__).parent}/package_bc"
torch.package.package_exporter._gate_torchscript_serialization = Fal... | 1,405 | 37 | 87 | py |
pytorch | pytorch-main/test/package/test_package_fx.py | # Owner(s): ["oncall: package/deploy"]
from io import BytesIO
import torch
from torch.fx import Graph, GraphModule, symbolic_trace
from torch.package import (
ObjMismatchError,
PackageExporter,
PackageImporter,
sys_importer,
)
from torch.testing._internal.common_utils import run_tests
try:
from .... | 6,059 | 30.5625 | 85 | py |
pytorch | pytorch-main/test/package/test_model.py | # Owner(s): ["oncall: package/deploy"]
from io import BytesIO
from textwrap import dedent
from unittest import skipIf
import torch
from torch.package import PackageExporter, PackageImporter, sys_importer
from torch.testing._internal.common_utils import IS_FBCODE, IS_SANDCASTLE, run_tests
try:
from torchvision.mo... | 7,386 | 36.120603 | 107 | py |
pytorch | pytorch-main/test/package/package_d/imports_indirectly.py | import torch
from .subpackage_0 import important_string
class ImportsIndirectlyFromSubPackage(torch.nn.Module):
key = important_string
def forward(self, inp):
return torch.sum(inp)
| 202 | 15.916667 | 55 | py |
pytorch | pytorch-main/test/package/package_d/imports_directly.py | import torch
from .subpackage_0.subsubpackage_0 import important_string
class ImportsDirectlyFromSubSubPackage(torch.nn.Module):
key = important_string
def forward(self, inp):
return torch.sum(inp)
| 219 | 17.333333 | 58 | py |
pytorch | pytorch-main/test/package/package_c/test_module.py | # Owner(s): ["oncall: package/deploy"]
import torch
try:
from torchvision.models import resnet18
class TorchVisionTest(torch.nn.Module):
def __init__(self):
super().__init__()
self.tvmod = resnet18()
def forward(self, x):
x = a_non_torch_leaf(x, x)
... | 429 | 17.695652 | 43 | py |
pytorch | pytorch-main/test/package/test_trace_dep/__init__.py | import torch
import yaml
class SumMod(torch.nn.Module):
def forward(self, inp):
return torch.sum(inp)
| 116 | 13.625 | 30 | py |
pytorch | pytorch-main/test/package/package_a/use_torch_package_importer.py | try:
import torch_package_importer # noqa: F401
except ImportError:
pass
| 82 | 15.6 | 47 | py |
pytorch | pytorch-main/test/package/package_a/test_nn_module.py | # Owner(s): ["oncall: package/deploy"]
import torch
class TestNnModule(torch.nn.Module):
def __init__(self, nz=6, ngf=9, nc=3):
super().__init__()
self.main = torch.nn.Sequential(
# input is Z, going into a convolution
torch.nn.ConvTranspose2d(nz, ngf * 8, 4, 1, 0, bias=Fa... | 1,233 | 35.294118 | 76 | py |
pytorch | pytorch-main/test/package/package_a/std_sys_module_hacks.py | import os # noqa: F401
import os.path # noqa: F401
import typing # noqa: F401
import typing.io # noqa: F401
import typing.re # noqa: F401
import torch
class Module(torch.nn.Module):
def forward(self):
return os.path.abspath("test")
| 252 | 18.461538 | 38 | py |
pytorch | pytorch-main/test/package/package_a/test_all_leaf_modules_tracer.py | # Owner(s): ["oncall: package/deploy"]
from torch.fx import Tracer
class TestAllLeafModulesTracer(Tracer):
def is_leaf_module(self, m, qualname):
return True
| 173 | 18.333333 | 42 | py |
pytorch | pytorch-main/test/package/package_a/test_module.py | # Owner(s): ["oncall: package/deploy"]
import torch
from torch.fx import wrap
wrap("a_non_torch_leaf")
class ModWithSubmod(torch.nn.Module):
def __init__(self, script_mod):
super().__init__()
self.script_mod = script_mod
def forward(self, x):
return self.script_mod(x)
class ModWit... | 1,480 | 21.439394 | 66 | py |
pytorch | pytorch-main/test/package/package_a/fake_script_class.py | from typing import Any
import torch
@torch.jit.script
class MyScriptClass:
"""Intended to be scripted."""
def __init__(self, x):
self.foo = x
def set_foo(self, x):
self.foo = x
@torch.jit.script
def uses_script_class(x):
"""Intended to be scripted."""
foo = MyScriptClass(x)
... | 707 | 17.631579 | 46 | py |
pytorch | pytorch-main/test/package/package_a/fake_interface.py | import torch
from torch import Tensor
@torch.jit.interface
class ModuleInterface(torch.nn.Module):
def one(self, inp1: Tensor, inp2: Tensor) -> Tensor:
pass
class OrigModule(torch.nn.Module):
"""A module that implements ModuleInterface."""
def one(self, inp1: Tensor, inp2: Tensor) -> Tensor:
... | 1,056 | 23.581395 | 63 | py |
pytorch | pytorch-main/test/package/package_a/use_dunder_package.py | if "__torch_package__" in dir():
def is_from_package():
return True
else:
def is_from_package():
return False
| 137 | 12.8 | 32 | py |
pytorch | pytorch-main/test/ao/sparsity/test_structured_sparsifier.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
import copy
import logging
import random
import torch
from torch import nn
from torch.ao.pruning._experimental.pruner import (
SaliencyPruner,
LSTMSaliencyPruner,
BaseStructuredSparsifier,
FakeStructuredSparsity,
)
from torch.nn.utils import param... | 31,601 | 33.35 | 113 | py |
pytorch | pytorch-main/test/ao/sparsity/test_qlinear_packed_params.py | #!/usr/bin/env python3
# Owner(s): ["oncall: mobile"]
import tempfile
import torch
from torch.ao.nn.sparse.quantized.dynamic.linear import Linear
from torch.testing._internal.common_quantization import (
skipIfNoFBGEMM,
skipIfNoQNNPACK,
)
from torch.testing._internal.common_quantized import (
qengine_is_qn... | 10,014 | 37.079848 | 124 | py |
pytorch | pytorch-main/test/ao/sparsity/test_sparsifier.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
import itertools
import logging
import re
import torch
from torch import nn
from torch.ao.pruning import BaseSparsifier, WeightNormSparsifier, FakeSparsity, NearlyDiagonalSparsifier
from torch.nn.utils.parametrize import is_parametrized
from torch.testing._inte... | 19,940 | 43.117257 | 123 | py |
pytorch | pytorch-main/test/ao/sparsity/test_parametrization.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
import logging
from torch import nn
from torch.ao.pruning.sparsifier import utils
from torch.nn.utils import parametrize
import torch
from torch.testing._internal.common_utils import TestCase
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s ... | 6,906 | 44.741722 | 102 | py |
pytorch | pytorch-main/test/ao/sparsity/test_kernels.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
from torch.testing._internal.common_utils import run_tests
import copy
import numpy as np
import io
import logging
from itertools import product
import torch
import torch.ao.quantization as tq
from torch import nn
from torch.ao.pruning.sparsifier.utils import ... | 12,266 | 37.697161 | 103 | py |
pytorch | pytorch-main/test/ao/sparsity/test_data_sparsifier.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
import logging
import torch
from torch.nn.utils.parametrize import is_parametrized
from torch.testing._internal.common_utils import TestCase
from typing import Tuple
from torch import nn
import itertools
import math
import copy
from torch.ao.pruning._experiment... | 28,602 | 47.234401 | 130 | py |
pytorch | pytorch-main/test/ao/sparsity/test_activation_sparsifier.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
import copy
from torch.testing._internal.common_utils import TestCase, skipIfTorchDynamo
import logging
import torch
from torch.ao.pruning._experimental.activation_sparsifier.activation_sparsifier import ActivationSparsifier
import torch.nn as nn
import torch.nn.... | 14,796 | 37.939474 | 119 | py |
pytorch | pytorch-main/test/ao/sparsity/test_composability.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
import logging
import torch
import torch.ao.quantization as tq
from torch import nn
from torch.ao import pruning
from torch.testing._internal.common_utils import TestCase
from torch.ao.quantization.quantize_fx import prepare_fx, convert_fx, convert_to_reference... | 25,228 | 42.200342 | 109 | py |
pytorch | pytorch-main/test/ao/sparsity/test_sparsity_utils.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
import logging
import torch
from torch.ao.pruning.sparsifier.utils import (
fqn_to_module,
get_arg_info_from_tensor_fqn,
module_to_fqn,
)
from torch.testing._internal.common_quantization import (
ConvBnReLUModel,
ConvModel,
FunctionalLi... | 5,778 | 37.271523 | 91 | py |
pytorch | pytorch-main/test/ao/sparsity/test_scheduler.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
from torch import nn
from torch.ao.pruning import WeightNormSparsifier
from torch.ao.pruning import BaseScheduler, LambdaSL, CubicSL
from torch.testing._internal.common_utils import TestCase
import warnings
class ImplementedScheduler(BaseScheduler):
def g... | 7,018 | 37.779006 | 103 | py |
pytorch | pytorch-main/test/ao/sparsity/test_data_scheduler.py | # -*- coding: utf-8 -*-
# Owner(s): ["module: unknown"]
import logging
import warnings
from torch.testing._internal.common_utils import TestCase
from torch import nn
import torch
from typing import Tuple
import copy
from torch.ao.pruning._experimental.data_sparsifier import DataNormSparsifier
from torch.ao.pruning._e... | 6,423 | 39.402516 | 112 | py |
pytorch | pytorch-main/test/dynamo/test_decorators.py | # Owner(s): ["module: dynamo"]
import os
import unittest.mock as mock
from unittest.mock import patch
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.exc import IncorrectUsage
def my_custom_function(x):
return x + 1
class DecoratorTests(torch._dynamo.test_case.TestC... | 7,817 | 27.742647 | 93 | py |
pytorch | pytorch-main/test/dynamo/test_functions.py | # Owner(s): ["module: dynamo"]
# flake8: noqa
import collections
import functools
import inspect
import itertools
import operator
import unittest
from dataclasses import dataclass, field
from typing import Any, Dict, List, NamedTuple
from unittest.mock import patch
import torch
import torch._dynamo.test_case
import t... | 33,973 | 24.391629 | 88 | py |
pytorch | pytorch-main/test/dynamo/test_python_autograd.py | # Owner(s): ["module: dynamo"]
from typing import Callable, Dict, List, NamedTuple, Optional
import torch
import torch._dynamo
from torch._dynamo.test_case import run_tests, TestCase
from torch._dynamo.testing import CompileCounter, same
"""
This is an example of a pure-python version of autograd implemented by
@zde... | 8,831 | 29.666667 | 89 | py |
pytorch | pytorch-main/test/dynamo/test_logging.py | # Owner(s): ["module: dynamo"]
import atexit
import contextlib
import functools
import logging
import os
import re
import unittest.mock
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.test... | 14,314 | 31.983871 | 87 | py |
pytorch | pytorch-main/test/dynamo/test_skip_non_tensor.py | # Owner(s): ["module: dynamo"]
from unittest.mock import patch
import torch
import torch._dynamo
import torch._dynamo.test_case
from torch._dynamo.testing import CompileCounter
class SkipNonTensorTests(torch._dynamo.test_case.TestCase):
def test_add_tensor1(self):
def fn(a, b):
return a + b
... | 2,634 | 22.114035 | 76 | py |
pytorch | pytorch-main/test/dynamo/test_autograd_function.py | # Owner(s): ["module: dynamo"]
import math
import unittest
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
class CustomFunc1(torch.autograd.Function):
@staticmethod
def forward(ctx, foo):
return foo + foo
@staticmethod
def backward(ctx, grad_output):
return... | 10,721 | 28.866295 | 77 | py |
pytorch | pytorch-main/test/dynamo/test_repros.py | """
PYTEST_DONT_REWRITE (prevents pytest from rewriting assertions, which interferes
with test_rewrite_assert_with_msg and test_rewrite_assert_without_msg)
"""
# Owner(s): ["module: dynamo"]
import collections
import contextlib
import copy
import functools
import inspect
import itertools
import random
import unittest
i... | 113,214 | 32.036183 | 117 | py |
pytorch | pytorch-main/test/dynamo/test_aot_autograd.py | # Owner(s): ["module: dynamo"]
from unittest.mock import patch
import torch
import torch._dynamo
import torch._dynamo.test_case
from torch._dynamo.testing import CompileCounter, expectedFailureDynamic, rand_strided
from torch.testing._internal.common_utils import compare_equal_outs_and_grads
def maybe_dupe_op(x):
... | 25,344 | 34.055325 | 104 | py |
pytorch | pytorch-main/test/dynamo/test_global.py | # Owner(s): ["module: dynamo"]
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.testing import same
try:
from . import utils
except ImportError:
import utils
class Pair: # noqa: B903
def __init__(self, x, y):
self.x = x
self.y = y
def Foo():
... | 6,485 | 26.956897 | 70 | py |
pytorch | pytorch-main/test/dynamo/test_export_mutations.py | # Owner(s): ["module: dynamo"]
import unittest
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
from torch.testing._internal.common_utils import IS_FBCODE
class MutationExportTests(torch._dynamo.test_case.TestCase):
def check_failure_on_export(self, mod, *args):
with self.assertRa... | 4,632 | 33.066176 | 80 | py |
pytorch | pytorch-main/test/dynamo/test_ctx_manager.py | # Owner(s): ["module: dynamo"]
import unittest
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
import torch.onnx.operators
from torch._dynamo.testing import same
from torch.nn import functional as F
from torch.testing._internal.common_cuda import (
PLATFORM_SUPPORTS_FUSED_SDPA,
SM80O... | 26,765 | 35.615595 | 93 | py |
pytorch | pytorch-main/test/dynamo/test_profiler.py | # Owner(s): ["module: dynamo"]
from unittest.mock import patch
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
import torch._dynamo.utils
from torch._dynamo.utils import dynamo_timed
class DynamoProfilerTests(torch._dynamo.test_case.TestCase):
def test_dynamo_timed_profiling_isolated(s... | 2,633 | 29.275862 | 85 | py |
pytorch | pytorch-main/test/dynamo/test_dynamic_shapes.py | # Owner(s): ["module: dynamo"]
import unittest
from torch._dynamo import config
from torch._dynamo.testing import make_test_cls_with_patches
try:
from . import (
test_aot_autograd,
test_ctx_manager,
test_export,
test_functions,
test_higher_order_ops,
test_misc,
... | 1,925 | 23.379747 | 74 | py |
pytorch | pytorch-main/test/dynamo/test_input_attr_tracking.py | # Owner(s): ["module: dynamo"]
import torch
import torch._dynamo
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.testing import CompileCounter
class TestInputAttrTracking(torch._dynamo.test_case.TestCase):
def test_tensor_property_on_tensor(self):
def fn(x):
retu... | 13,564 | 35.465054 | 121 | py |
pytorch | pytorch-main/test/dynamo/test_backends.py | # Owner(s): ["module: dynamo"]
import functools
import unittest
import torch
import torch._dynamo
import torch._dynamo.test_case
from torch._dynamo.backends.debugging import ExplainWithBackend
from torch._dynamo.backends.onnxrt import has_onnxruntime
from torch._dynamo.backends.tvm import has_tvm
from torch._dynamo.t... | 7,415 | 30.159664 | 114 | py |
pytorch | pytorch-main/test/dynamo/test_modules.py | # Owner(s): ["module: dynamo"]
import collections
import itertools
import traceback
import types
import unittest
from copy import deepcopy
from functools import partial
from typing import Tuple
from unittest.mock import patch
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo... | 62,101 | 30.051 | 89 | py |
pytorch | pytorch-main/test/dynamo/test_interop.py | # Owner(s): ["module: dynamo"]
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
import torch.onnx.operators
from torch._dynamo.testing import same
def fn(a, b):
return a + b * 0.67
class InteropTests(torch._dynamo.test_case.TestCase):
def _common(self, fn):
inputs = [torch.r... | 1,015 | 25.051282 | 74 | py |
pytorch | pytorch-main/test/dynamo/test_config.py | # Owner(s): ["module: dynamo"]
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.utils import disable_cache_limit
# NB: do NOT include this test class in test_dynamic_shapes.py
class ConfigTests(torch._dynamo.test_case.TestCase):
@disable_cache_limit()
def test_no_a... | 2,208 | 32.469697 | 73 | py |
pytorch | pytorch-main/test/dynamo/test_minifier.py | # Owner(s): ["module: dynamo"]
import functools
import unittest
import torch._dynamo
from torch._dynamo.test_minifier_common import MinifierTestBase
requires_cuda = functools.partial(
unittest.skipIf, not torch.cuda.is_available(), "requires cuda"
)
class MinifierTests(MinifierTestBase):
# Test that compile... | 7,508 | 33.131818 | 105 | py |
pytorch | pytorch-main/test/dynamo/test_verify_correctness.py | # Owner(s): ["module: dynamo"]
import operator
import torch
import torch._dynamo
import torch._dynamo.config as config
import torch._dynamo.test_case
from torch._dynamo.testing import same
class Seq(torch.nn.Module):
def __init__(self):
super().__init__()
self.layers = torch.nn.Sequential(
... | 4,049 | 27.321678 | 87 | py |
pytorch | pytorch-main/test/dynamo/test_misc.py | # Owner(s): ["module: dynamo"]
import abc
import collections
import copy
import dataclasses
import dis
import enum
import logging
import math
import operator
import os
import sys
import traceback
import typing
import unittest
import unittest.mock as mock
import warnings
import weakref
from unittest.mock import patch
i... | 202,466 | 31.219446 | 129 | py |
pytorch | pytorch-main/test/dynamo/utils.py | # Owner(s): ["module: dynamo"]
import torch
import torch._dynamo
g_tensor_export = torch.ones(10)
tensor_for_import_testing = torch.ones(10, 10)
def inner_func():
return torch.is_grad_enabled()
def outer_func(func):
def wrapped(*args):
a = func(*args)
torch._dynamo.graph_break()
... | 379 | 14.833333 | 46 | py |
pytorch | pytorch-main/test/dynamo/test_after_aot.py | # Owner(s): ["module: dynamo"]
import io
import os
import shutil
import sys
import tempfile
import unittest
import torch._dynamo.test_case
from torch._dynamo.repro.after_aot import InputReader, InputWriter, save_graph_repro
from torch.fx.experimental.proxy_tensor import make_fx
from torch.testing._internal.common_u... | 2,811 | 32.47619 | 93 | py |
pytorch | pytorch-main/test/dynamo/test_comptime.py | # Owner(s): ["module: dynamo"]
import re
import sys
from io import StringIO
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.comptime import comptime
# Because we don't support free variables in comptime at the moment,
# we have to communicate via globals. This also means these tests c... | 7,857 | 24.105431 | 78 | py |
pytorch | pytorch-main/test/dynamo/test_subclasses.py | # Owner(s): ["module: dynamo"]
import contextlib
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
import torch._functorch.config
import torch.utils.checkpoint
class MockSubclass(torch.Tensor):
@classmethod
def __torch_function__(cls, func, types, args=(), kwargs=None):
if kwa... | 3,096 | 26.651786 | 81 | py |
pytorch | pytorch-main/test/dynamo/test_recompiles.py | # Owner(s): ["module: dynamo"]
from unittest.mock import patch
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
class RecompileTests(torch._dynamo.test_case.TestCase):
def test_automatic_dynamic_reduce_recompiles(self):
# Test the counterfactual, lots of recompiles without this c... | 7,408 | 33.784038 | 86 | py |
pytorch | pytorch-main/test/dynamo/test_unspec.py | # Owner(s): ["module: dynamo"]
import math
import random
import unittest
import numpy as np
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
import torch.nn.functional as F
from torch._dynamo.comptime import comptime
from torch._dynamo.testing import same
# The intention of this test file is... | 10,916 | 33.009346 | 114 | py |
pytorch | pytorch-main/test/dynamo/test_activation_checkpointing.py | # Owner(s): ["module: dynamo"]
import functools
import unittest
from importlib import import_module
import torch
import torch._dynamo.test_case
import torch._functorch.config
import torch.utils.checkpoint
from torch._dynamo.backends.common import aot_autograd
from torch._dynamo.testing import CompileCounterWithBacken... | 11,596 | 33.20944 | 90 | py |
pytorch | pytorch-main/test/dynamo/test_replay_record.py | # Owner(s): ["module: dynamo"]
import logging
import re
import shutil
import unittest
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
try:
import dill
except ImportError:
dill = None
requires_dill = unittest.skipIf(dill is None, "requires dill")
class ReplayRecordTests(torch._dynam... | 5,790 | 28.850515 | 86 | py |
pytorch | pytorch-main/test/dynamo/test_compile.py | # Owner(s): ["module: dynamo"]
import inspect
import os
import tempfile
import unittest
import torch
from torch._dynamo.testing import CompileCounter
class ToyModel(torch.nn.Module):
def __init__(self):
super(ToyModel, self).__init__()
self.linear = torch.nn.Linear(10, 10)
self.relu = to... | 3,301 | 31.372549 | 121 | py |
pytorch | pytorch-main/test/dynamo/test_cudagraphs.py | # Owner(s): ["module: cuda graphs"]
import functools
import unittest
import torch
import torch._dynamo
import torch._dynamo.config
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.testing import same
from torch.testing._internal.common_utils import (
skipIfRocm,
TEST_CUDA_GRAPH,... | 5,869 | 25.681818 | 86 | py |
pytorch | pytorch-main/test/dynamo/test_export.py | # Owner(s): ["module: dynamo"]
"""
PYTEST_DONT_REWRITE (prevents pytest from rewriting assertions, which interferes
with test_export_persist_assert)
"""
import functools
import inspect
import math
import operator
import unittest
from enum import Enum
from typing import Dict, List, Sequence
from unittest.mock import pat... | 107,680 | 32.163228 | 207 | py |
pytorch | pytorch-main/test/dynamo/test_recompile_ux.py | # Owner(s): ["module: dynamo"]
import unittest
import weakref
from unittest.mock import patch
import torch
import torch._dynamo
import torch._dynamo.config
import torch._dynamo.test_case
import torch._dynamo.testing
class RecompileUxTests(torch._dynamo.test_case.TestCase):
# TODO(whc) dynamo actually recompiles... | 7,955 | 36.352113 | 100 | py |
pytorch | pytorch-main/test/dynamo/test_pre_dispatch.py | # Owner(s): ["module: dynamo"]
import torch
import torch._dynamo
import torch._dynamo.test_case
class PreDispatchTests(torch._dynamo.test_case.TestCase):
def test_no_grad_simple(self):
def f(a):
b = a.sin()
with torch.no_grad():
c = b.cos()
return b * c... | 2,140 | 26.805195 | 67 | py |
pytorch | pytorch-main/test/dynamo/test_nops.py | # Owner(s): ["module: dynamo"]
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo import eval_frame
from torch._dynamo.hooks import Hooks
c = 10
def fn1(a, b):
return a + b - c
def fn2(a, b):
x = 0
y = 1
def modify():
nonlocal x
x += a + b ... | 1,486 | 19.094595 | 87 | py |
pytorch | pytorch-main/test/dynamo/test_subgraphs.py | # Owner(s): ["module: dynamo"]
import unittest
from unittest.mock import patch
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.testing import unsupported
from torch._dynamo.utils import ifdynstaticdefault
globalmod = torch.nn.ReLU()
def indirectly_unsupported(a, b):
... | 16,421 | 26.415693 | 87 | py |
pytorch | pytorch-main/test/dynamo/test_sources.py | # Owner(s): ["module: dynamo"]
"""
PYTEST_DONT_REWRITE (prevents pytest from rewriting assertions, which interferes
with test_export_persist_assert)
"""
import torch
import torch._dynamo
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.source import (
AttrSource,
GlobalSource,
... | 719 | 23.827586 | 80 | py |
pytorch | pytorch-main/test/dynamo/test_higher_order_ops.py | # Owner(s): ["module: dynamo"]
import contextlib
import functools
import re
import unittest
import functorch.experimental.control_flow as control_flow
import torch
import torch._dynamo.config as config
import torch._dynamo.test_case
import torch._functorch.config
import torch.nn as nn
import torch.utils.checkpoint
f... | 68,115 | 28.875439 | 100 | py |
pytorch | pytorch-main/test/dynamo/test_optimizers.py | """
PYTEST_DONT_REWRITE (prevents pytest from rewriting assertions, which interferes
with test_adam in OptimizerTests)
"""
import functools
# Owner(s): ["module: dynamo"]
import inspect
import torch
import torch._dynamo
import torch._dynamo.test_case
import torch._dynamo.testing
from torch.nn import Parameter
inpu... | 4,785 | 30.486842 | 91 | py |
pytorch | pytorch-main/test/dynamo/test_model_output.py | # Owner(s): ["module: dynamo"]
import dataclasses
import unittest.mock
import torch
import torch._dynamo.test_case
import torch._dynamo.testing
from torch._dynamo.testing import same
try:
from transformers import modeling_outputs
from transformers.configuration_utils import PretrainedConfig
from transfor... | 5,094 | 29.147929 | 81 | py |
pytorch | pytorch-main/test/dynamo/mock_modules/mock_module2.py | # from . import mock_module3
import torch
from . import mock_module3
class Class1:
def __init__(self, x, y):
self.x = x
self.y = y
def method2(self, x):
return mock_module3.method1([], x)
def method1(x, y):
torch.ones(1, 1)
x.append(y)
return x
| 295 | 13.8 | 42 | py |
pytorch | pytorch-main/test/dynamo/mock_modules/mock_module3.py | import torch
def method1(x, y):
torch.ones(1, 1)
x.append(y)
return x
| 84 | 9.625 | 20 | py |
pytorch | pytorch-main/test/fx/test_fx_const_fold.py | # Owner(s): ["module: fx"]
import operator
import torch
import torch.fx
from torch.fx.experimental import const_fold
from torch.fx.passes.shape_prop import _extract_tensor_metadata, ShapeProp
from torch.testing._internal.common_utils import TestCase
class TestConstFold(TestCase):
def _get_attr(self, node):
... | 27,754 | 38.146685 | 90 | py |
pytorch | pytorch-main/test/fx/named_tup.py | from typing import NamedTuple
import torch
class MyNamedTup(NamedTuple):
i : torch.Tensor
f : torch.Tensor
| 117 | 13.75 | 29 | py |
pytorch | pytorch-main/test/fx/quantization.py | r'''
**This file is EXPERIMENTAL and is mostly used for testing purposes! Do not
rely on it for anything!**
'''
from torch.fx import Graph, GraphModule
from torch.fx.graph import map_arg
from torch.fx.proxy import Proxy
import sys
import torch
from torch.nn.utils import fuse_conv_bn_weights
import operator
# can be a
... | 12,417 | 37.209231 | 131 | py |
pytorch | pytorch-main/test/fx/test_fx_param_shape_control_flow.py | # Owner(s): ["module: fx"]
import unittest
import torch
import torch.fx
from torch.testing._internal.common_utils import TestCase
class MyModuleBase(torch.nn.Module):
def forward(self, x):
matrx = self.get_mul_matrix()
if self.no_relu():
return torch.mm(x, matrx)
else:
... | 4,990 | 30.99359 | 105 | py |
pytorch | pytorch-main/test/fx/test_gradual_type.py | # Owner(s): ["module: fx"]
import unittest
import torch
from torch.fx import symbolic_trace
from torch.fx.experimental.unify_refinements import infer_symbolic_types
from torch.fx.experimental.refinement_types import Equality
from torch.fx.tensor_type import TensorType, Dyn, is_consistent, is_more_precise
from torch.fx... | 38,810 | 37.733533 | 111 | py |
pytorch | pytorch-main/test/fx/test_dce_pass.py | # Owner(s): ["module: fx"]
from typing import Set, Type
import torch
import torch.fx
from torch.testing._internal.common_utils import TestCase
class TestDCE(TestCase):
def _has_nodes_without_users(self, m: torch.fx.GraphModule):
for node in m.graph.nodes:
if node.is_impure():
... | 5,660 | 31.164773 | 87 | py |
pytorch | pytorch-main/test/fx/test_pass_infra.py | # Owner(s): ["module: fx"]
import torch
import torch.fx as fx
from torch.fx.passes.infra.pass_base import PassBase, PassResult
from torch.fx.passes.infra.pass_manager import (
_topological_sort_passes,
pass_result_wrapper,
PassManager,
this_before_that_pass_constraint,
)
from torch.testing._internal.c... | 7,605 | 31.784483 | 131 | py |
pytorch | pytorch-main/test/fx/test_source_matcher_utils.py | # Owner(s): ["module: fx"]
import os
import sys
import unittest
import torch
pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(pytorch_test_dir)
from torch._dynamo.eval_frame import is_dynamo_supported
from torch.fx.passes.utils.source_matcher_utils import get_source_par... | 6,756 | 45.280822 | 130 | py |
pytorch | pytorch-main/test/fx/test_common_passes.py | # Owner(s): ["oncall: fx"]
import torch
from torch.testing._internal.common_utils import (
TestCase, parametrize, instantiate_parametrized_tests, run_tests)
from torch.fx.experimental.proxy_tensor import make_fx
from torch.fx.passes.dialect.common.cse_pass import CSEPass
from torch.fx.graph_module import GraphMod... | 2,745 | 21.694215 | 105 | py |
pytorch | pytorch-main/test/fx/test_future.py | # Owner(s): ["module: fx"]
from __future__ import annotations # type: ignore[attr-defined]
import torch
import typing
from torch.fx import symbolic_trace
class A:
def __call__(self, x: torch.Tensor):
return torch.add(x, x)
# No forward references
class M1(torch.nn.Module):
def forward(self, x: tor... | 1,303 | 24.568627 | 78 | py |
pytorch | pytorch-main/test/fx/test_cse_pass.py | # Owner(s): ["oncall: fx"]
import torch
from torch.testing._internal.common_utils import (
TestCase, run_tests)
from torch.fx.experimental.proxy_tensor import make_fx
from torch.fx.passes.dialect.common.cse_pass import CSEPass, get_CSE_banned_ops
from torch.fx import symbolic_trace
import random
banned_ops = g... | 6,819 | 28.145299 | 116 | py |
pytorch | pytorch-main/test/fx/test_subgraph_rewriter.py | # Owner(s): ["module: fx"]
import os
import sys
import torch
from torch.fx import symbolic_trace, subgraph_rewriter
from torch.fx.annotate import annotate
# Make the helper files in test/ importable
from torch.fx.experimental.rewriter import RewritingTracer
pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.... | 31,922 | 32.115145 | 121 | py |
pytorch | pytorch-main/test/fx/test_matcher_utils.py | # Owner(s): ["module: fx"]
import os
import sys
import torch
from torch.fx import symbolic_trace
from torch.fx.experimental.proxy_tensor import make_fx
pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(pytorch_test_dir)
from torch.fx.passes.utils.matcher_utils import Sub... | 5,405 | 42.248 | 108 | py |
pytorch | pytorch-main/test/fx/test_z3_gradual_types.py | # Owner(s): ["module: fx"]
import operator
import unittest
from torch.fx import GraphModule, symbolic_trace
from torch.fx.experimental.meta_tracer import symbolic_trace as meta_symbolic_trace
from torch.fx.experimental.migrate_gradual_types.constraint import BinConstraintT, DVar, TVar, T
from torch.fx.experimental.migr... | 87,388 | 36.586667 | 107 | py |
pytorch | pytorch-main/scripts/diagnose_protobuf.py | ## @package diagnose_protobuf
# Module scripts.diagnose_protobuf
"""Diagnoses the current protobuf situation.
Protocol buffer needs to be properly installed for Caffe2 to work, and
sometimes it is rather tricky. Specifically, we will need to have a
consistent version between C++ and python simultaneously. This is a
co... | 3,039 | 32.406593 | 80 | py |
pytorch | pytorch-main/scripts/model_zoo/update-caffe2-models.py | #! /usr/bin/env python3
import os
import subprocess
import sys
import tarfile
import tempfile
from urllib.request import urlretrieve
from caffe2.python.models.download import downloadFromURLToFile, getURLFromName, deleteDirectory
class SomeClass:
# largely copied from
# https://github.com/onnx/onnx-caffe2/b... | 5,537 | 33.6125 | 100 | py |
pytorch | pytorch-main/scripts/model_zoo/update-models-from-caffe2.py | #! /usr/bin/env python3
import onnx.backend
import argparse
import caffe2.python.workspace as c2_workspace
import glob
import json
import numpy as np
import onnx
import caffe2.python.onnx.frontend
import caffe2.python.onnx.backend
import os
import shutil
import tarfile
import tempfile
import boto3
from urllib.reque... | 13,354 | 39.225904 | 133 | py |
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