python_code stringlengths 0 187k | repo_name stringlengths 8 46 | file_path stringlengths 6 135 |
|---|---|---|
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""The base :class:`~composer.devices.device.Device` class."""
from abc import ABC, abstractmethod
from collections.abc import Mapping, Sequence
from typing import Any, Callable, TypeVar
import torch
import torch.nn
from torch.optim imp... | composer-dev | composer/devices/device.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""Module for devices on which models run."""
from composer.devices.device import Device
from composer.devices.device_cpu import DeviceCPU
from composer.devices.device_gpu import DeviceGPU
from composer.devices.device_mps import DeviceMP... | composer-dev | composer/devices/__init__.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""The CPU device used for training."""
from __future__ import annotations
import logging
from typing import Any, Dict, TypeVar
import torch
from composer.devices.device import Device
logger = logging.getLogger(__name__)
__all__ = [... | composer-dev | composer/devices/device_cpu.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""The Apple M-series device used for training."""
from __future__ import annotations
from typing import Any, Dict, TypeVar
import torch
import torch.cuda.amp
import torch.utils.data
from packaging import version
from composer.devices... | composer-dev | composer/devices/device_mps.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""The TPU device used for training."""
from __future__ import annotations
import logging
from typing import Any, Dict, TypeVar
import torch
from composer.devices.device import Device
logger = logging.getLogger(__name__)
__all__ = [... | composer-dev | composer/devices/device_tpu.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""The GPU device used for training."""
from __future__ import annotations
from typing import Any, Dict, Optional, TypeVar
import torch
import torch.backends.cuda
import torch.backends.cudnn
import torch.cuda
import torch.cuda.amp
impo... | composer-dev | composer/devices/device_gpu.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import logging
import os
import subprocess
import sys
import textwrap
from pathlib import Path
from typing import List
from unittest.mock import Mock
import pytest
import composer
from composer.core import Engine, Event
from composer.co... | composer-dev | tests/test_engine.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import os
from typing import List, Optional
import pytest
from composer.utils import reproducibility
# Allowed options for pytest.mark.world_size()
# Important: when updating this list, make sure to also up ./.ci/test.sh
# (so tests of... | composer-dev | tests/conftest.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import datetime
import pytest
from composer.core.time import Time, Timestamp, TimeUnit
@pytest.mark.parametrize('time_string,expected_value,expected_unit', [
['1ep', 1, TimeUnit.EPOCH],
['2ba', 2, TimeUnit.BATCH],
['3e10sp... | composer-dev | tests/test_time.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
import torch.distributed
from torch.utils.data import DataLoader
from composer import Trainer
from composer.core import Precision
from composer.models import composer_resnet_cifar
from tests.common import Rando... | composer-dev | tests/test_precision.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
from torch.utils.data import DataLoader
from composer.trainer import Trainer
from composer.utils import dist
from tests.common.datasets import RandomTextClassificationDataset, RandomTextLMDataset
from tests.common.models im... | composer-dev | tests/test_simple_nlp.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import copy
import os
import pytest
import torch
from torch.utils.data import DataLoader
from torchmetrics.classification import MulticlassAccuracy
from composer.algorithms import GatedLinearUnits
from composer.loggers import RemoteUplo... | composer-dev | tests/test_full_nlp.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
# Pytest stub for running lint tests and doctests
# Running these checks through pytest allows us to report any errors in Junit format,
# which is posted directly on the PR
import os
import subprocess
import textwrap
import pytest
de... | composer-dev | tests/test_docs.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
| composer-dev | tests/__init__.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import List, Sequence, Type
from unittest.mock import Mock
import pytest
from composer import Algorithm, Engine, Event, Logger, State, Trainer
from composer.algorithms import FusedLayerNorm, LowPrecisionLayerNorm, SelectiveB... | composer-dev | tests/test_passes.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import glob
import inspect
import os
import pytest
import testbook
from testbook.client import TestbookNotebookClient
import composer
from tests.common import device
nb_root = os.path.join(os.path.dirname(composer.__file__), '..', 'exa... | composer-dev | tests/test_notebooks.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pathlib
import random
import pytest
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
import composer
from composer.core import Batch, Precision, State
from composer.devices import DeviceCPU, De... | composer-dev | tests/test_state.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import Dict, List, Mapping, Tuple, Union
import pytest
import torch
from composer.core.data_spec import _default_split_batch, _split_list, _split_tensor
def dummy_tensor_batch(batch_size=12) -> torch.Tensor:
return tor... | composer-dev | tests/test_split_batch.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
import torch
from torch.nn import functional as F
from composer.loss import DiceLoss, soft_cross_entropy
from composer.loss.utils import _one_hot, ensure_targets_one_hot, infer_target_type
def generate_... | composer-dev | tests/test_loss.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import Dict, List, Tuple, Union
import pytest
import torch
from composer.devices import DeviceCPU, DeviceGPU
from composer.devices.device import _map_batch
from tests.common import device, world_size
def dummy_tensor_batch... | composer-dev | tests/test_device.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import math
import pytest
import torch
from packaging import version
from torch.utils.data import DataLoader
from composer import Trainer
from composer.core import Event, Time
from composer.core.time import TimeUnit
from composer.utils ... | composer-dev | tests/test_events.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from composer import (algorithms, callbacks, core, datasets, devices, functional, loggers, loss, metrics, models, optim,
profiler, trainer, utils)
# This very simple test is just to use the above imports, which che... | composer-dev | tests/test_smoketest.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import os
import platform
import PIL
import pytest
from torch.utils.data import DataLoader
from composer.trainer import Trainer
from tests.common import RandomClassificationDataset, SimpleModel
@pytest.mark.skipif('composer-python' no... | composer-dev | tests/test_docker.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from unittest.mock import MagicMock
import pytest
from torch.utils.data import DataLoader
from composer.core import Callback, State
from composer.loggers import Logger
from composer.trainer import Trainer
from tests.common import Simple... | composer-dev | tests/metrics/test_current_metrics.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from tests.metrics.metric_setter_callback import MetricSetterCallback
__all__ = ['MetricSetterCallback']
| composer-dev | tests/metrics/__init__.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
import torch.nn.functional as F
from composer.metrics import MIoU
@pytest.fixture
def block_2D_targets():
base = torch.arange(4)
targets = []
for i in range(4):
targets.append(torch.roll(b... | composer-dev | tests/metrics/test_miou.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import math
import pytest
import torch
from torch.nn.functional import cross_entropy
from composer.metrics.nlp import (BinaryF1Score, HFCrossEntropy, InContextLearningLMAccuracy,
InContextLearningMultip... | composer-dev | tests/metrics/test_nlp_metrics.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import Callable, Dict, Optional, Sequence, Tuple
import torch
from composer.core import Callback, State, TimeUnit
from composer.devices import Device
from composer.loggers import Logger
class MetricSetterCallback(Callback)... | composer-dev | tests/metrics/metric_setter_callback.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import csv
from pathlib import Path
from unittest.mock import MagicMock
import pytest
import yaml
from torch.utils.data import DataLoader
from composer.loggers import MLFlowLogger
from composer.trainer import Trainer
from tests.common.d... | composer-dev | tests/loggers/test_mlflow_logger.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from unittest.mock import MagicMock
import pytest
import torch.utils.data
from _pytest.monkeypatch import MonkeyPatch
from tqdm import auto
from composer.core.time import Time, TimeUnit
from composer.loggers import ProgressBarLogger
fro... | composer-dev | tests/loggers/test_progress_bar_logger.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import math
import re
from pathlib import Path
import pytest
from torch.utils.data import DataLoader
from torchmetrics import MetricCollection
from composer.callbacks import SpeedMonitor
from composer.core import Evaluator
from composer... | composer-dev | tests/loggers/test_console_logger.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import imghdr
import os
import zipfile
from collections import defaultdict
from json import JSONDecoder
from pathlib import Path
from typing import Sequence
import pytest
import torch
from torch.utils.data import DataLoader
from composer... | composer-dev | tests/loggers/test_cometml_logger.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
| composer-dev | tests/loggers/__init__.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import contextlib
import multiprocessing
import os
import pathlib
import random
import shutil
import time
from typing import Any, Callable, Dict, Optional, Union
from unittest.mock import patch
import pytest
from composer.core import Ev... | composer-dev | tests/loggers/test_remote_uploader_downloader.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import contextlib
import imghdr
import json
import os
import pathlib
import pickle
import uuid
from pathlib import Path
from typing import Sequence, Type
import pytest
import torch
from torch.utils.data import DataLoader
from composer.c... | composer-dev | tests/loggers/test_wandb_logger.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pathlib
from composer.core.state import State
from composer.loggers import Logger, LoggerDestination
def test_logger_file_upload(dummy_state: State):
file_logged = False
class DummyLoggerDestination(LoggerDestination):... | composer-dev | tests/loggers/test_logger.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from composer.core import State, Time, Timestamp
from composer.loggers import InMemoryLogger, Logger
def test_in_memory_logger(dummy_state: State):
in_memory_logger = InMemoryLogger()
logger = Logger(dummy_st... | composer-dev | tests/loggers/test_in_memory_logger.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import os
import pathlib
import sys
from torch.utils.data import DataLoader
from composer import Callback, Event, State, Trainer
from composer.loggers import FileLogger, Logger, LoggerDestination
from composer.utils.collect_env import d... | composer-dev | tests/loggers/test_file_logger.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""
Test inference APIs.
"""
import os
import tempfile
from functools import partial
from unittest.mock import patch
import pytest
from torch.utils.data import DataLoader
from composer.callbacks import ExportForInferenceCallback, export... | composer-dev | tests/callbacks/test_inference.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import imghdr
import json
import math
import os
import zipfile
from pathlib import Path
import pytest
from torch.utils.data import DataLoader
from composer.callbacks import ImageVisualizer
from composer.core import TimeUnit
from compose... | composer-dev | tests/callbacks/test_image_visualizer.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import Type, cast
import pytest
from torch.utils.data import DataLoader
from composer.core import Callback, Engine, Event, State
from composer.core.time import Time
from composer.loggers import Logger, LoggerDestination
from... | composer-dev | tests/callbacks/test_callbacks.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
from packaging import version
from torch.utils.data import DataLoader
from composer.callbacks import OptimizerMonitor
from composer.loggers import InMemoryLogger
from composer.optim import DecoupledAdamW
from c... | composer-dev | tests/callbacks/test_optimizer_monitor.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
from torch.utils.data import DataLoader
from composer.callbacks import MemoryMonitor
from composer.loggers import InMemoryLogger
from composer.trainer import Trainer
from tests.common import RandomClassificationDataset, Sim... | composer-dev | tests/callbacks/test_memory_monitor.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import datetime
from unittest.mock import MagicMock, patch
import pytest
from composer import Timestamp
from composer.callbacks import HealthChecker
from composer.callbacks.health_checker import GPUUtilization
from composer.utils import... | composer-dev | tests/callbacks/test_health_checker.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import collections.abc
import datetime
import pytest
from torch.utils.data import DataLoader
from composer.callbacks import SpeedMonitor
from composer.core import Time
from composer.loggers import InMemoryLogger
from composer.trainer im... | composer-dev | tests/callbacks/test_speed_monitor.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import os
from typing import Any, Dict, List, Type
import pytest
import composer.callbacks
import composer.loggers
import composer.profiler
from composer import Callback
from composer.callbacks import EarlyStopper, ImageVisualizer, Memo... | composer-dev | tests/callbacks/callback_settings.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
| composer-dev | tests/callbacks/__init__.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
# ignore third-party missing imports due to the mlperf logger not pip-installable
# pyright: reportMissingImports=none
import logging
from unittest.mock import Mock
import numpy as np
import pytest
import torch
from torch.utils.data imp... | composer-dev | tests/callbacks/test_mlperf_callback.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import os
from typing import Type
import pytest
from torch.utils.data import DataLoader
from composer.core import Callback
from composer.loggers import ConsoleLogger, LoggerDestination, ProgressBarLogger
from composer.loggers.remote_upl... | composer-dev | tests/callbacks/test_loggers_across_callbacks.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import datetime
import time
import pytest
from torch.utils.data import DataLoader
from composer.callbacks import RuntimeEstimator
from composer.core import Time
from composer.loggers import InMemoryLogger
from composer.trainer import Tr... | composer-dev | tests/callbacks/test_runtime_estimator.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import List
import pytest
from torch.utils.data import DataLoader
from torchmetrics.classification import MulticlassAccuracy
from composer import Trainer
from composer.callbacks import ThresholdStopper
from composer.core.tim... | composer-dev | tests/callbacks/test_threshold_stopper.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import List
import pytest
from torch.utils.data import DataLoader
from torchmetrics.classification import MulticlassAccuracy
from composer import Trainer
from composer.callbacks.early_stopper import EarlyStopper
from compose... | composer-dev | tests/callbacks/test_early_stopper.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import contextlib
import os
from pathlib import Path
import pytest
import transformers
from torch.utils.data import DataLoader
from transformers import AutoTokenizer
from composer import Evaluator
from composer.datasets.in_context_learn... | composer-dev | tests/datasets/test_in_context_learning_datasets.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
from composer.datasets import build_cifar10_dataloader, build_synthetic_cifar10_dataloader
@pytest.mark.parametrize('is_train', [False, True])
@pytest.mark.parametrize('synthetic', [pytest.param(False, marks=pytest.mark.d... | composer-dev | tests/datasets/test_cifar.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import List, Tuple
import numpy as np
import pytest
import torch
from PIL import Image
from composer.datasets.utils import pil_image_collate
@pytest.fixture
def num_samples():
return 4
@pytest.fixture
def image_size(... | composer-dev | tests/datasets/test_dataset_utils.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
| composer-dev | tests/datasets/__init__.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
from composer.datasets import build_mnist_dataloader, build_synthetic_mnist_dataloader
@pytest.mark.parametrize('is_train', [False, True])
@pytest.mark.parametrize('synthetic', [pytest.param(False, marks=pytest.mark.daily... | composer-dev | tests/datasets/test_mnist.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import Optional
import pytest
import torch
from composer.datasets.synthetic import (SyntheticBatchPairDataset, SyntheticDataLabelType, SyntheticDataType,
SyntheticPILDataset)
@pytes... | composer-dev | tests/datasets/test_synthetic_data.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
from torchvision import transforms
from composer.datasets.synthetic import SyntheticPILDataset
from composer.datasets.utils import add_vision_dataset_transform
image_size = 32
def generate_synthetic_dataset(data_transfor... | composer-dev | tests/datasets/test_add_dataset_transform.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import os
import pathlib
import pytest
from composer.datasets.ffcv_utils import write_ffcv_dataset
from composer.datasets.synthetic import SyntheticDataLabelType, SyntheticPILDataset
@pytest.mark.vision
def test_write_ffcv_dataset(tmp... | composer-dev | tests/datasets/test_ffcv_utils.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import os
from pathlib import Path
import numpy as np
import pytest
from torch.utils.data import DataLoader
from composer.metrics.nlp import LanguageCrossEntropy, MaskedAccuracy
from composer.models import HuggingFaceModel
from composer... | composer-dev | tests/datasets/test_streaming_datasets_train.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
from PIL import Image
from composer.datasets.ade20k import (PadToSize, PhotometricDistoration, RandomCropPair, RandomHFlipPair,
RandomResizePair)
@pytest.fixture
de... | composer-dev | tests/datasets/test_segmentation_transforms.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import List, Optional, Type
from unittest.mock import Mock
import pytest
import torch
import torch.nn.functional as F
from torchvision.models.resnet import Bottleneck
from composer.algorithms import StochasticDepth
from comp... | composer-dev | tests/algorithms/test_stochastic_depth.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from unittest.mock import Mock
import pytest
import torch
from packaging import version
from torch import nn
import composer.algorithms.gradient_clipping.gradient_clipping as gc_module
from composer.algorithms.gradient_clipping import G... | composer-dev | tests/algorithms/test_gradient_clipping.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""Test Ghost Batch Normalization, both as an algorithm and module."""
import contextlib
import math
from typing import Any, Dict, Optional, Sequence, Union, cast
from unittest.mock import MagicMock, Mock
import pytest
import torch
from... | composer-dev | tests/algorithms/test_ghost_batchnorm.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import copy
import numpy as np
import pytest
import torch
from composer.algorithms import EMA
from composer.algorithms.ema.ema import EMAParameters, compute_ema
from composer.core import Event, Time, Timestamp, TimeUnit
from tests.commo... | composer-dev | tests/algorithms/test_ema.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
import torch.nn.utils.parametrize as parametrize
from composer.algorithms import WeightStandardization
from composer.core import Event, State
from composer.functional import apply_weight_standardization
from co... | composer-dev | tests/algorithms/test_weight_standardization.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""This file provides the canonical settings (dataset, model, algorithms, arguments)
for each algorithm to be tested. This can be used throughout the codebase for
functional tests, serialization tests, etc.
Each algorithm is keyed based ... | composer-dev | tests/algorithms/algorithm_settings.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
from torch.nn.functional import gelu, relu
from composer.algorithms.gated_linear_units import GatedLinearUnits, apply_gated_linear_units
from composer.algorithms.gated_linear_units.gated_linear_unit_layers impo... | composer-dev | tests/algorithms/test_gated_linear_units.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
from torch.nn import LayerNorm
from composer.algorithms.fused_layernorm import FusedLayerNorm, apply_fused_layernorm
from composer.core import Event, State
from composer.loggers import Logger
from composer.models.huggingfac... | composer-dev | tests/algorithms/test_fused_layernorm.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import copy
import os
import pathlib
from typing import Type
import pytest
import torch
from composer import Algorithm, Trainer
from composer.algorithms import SAM, SWA, GyroDropout, LayerFreezing, SeqLengthWarmup, StochasticDepth
from ... | composer-dev | tests/algorithms/test_algorithm_resumption.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
import torch
from composer.algorithms.channels_last import apply_channels_last
from composer.algorithms.channels_last.channels_last import ChannelsLast
from composer.core.event import Event
from composer.... | composer-dev | tests/algorithms/test_channels_last.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
import torch
from composer.algorithms import CutMix
from composer.algorithms.cutmix.cutmix import _rand_bbox, cutmix_batch
from composer.core import Event
from composer.models import ComposerClassifier
... | composer-dev | tests/algorithms/test_cutmix.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
from torch.nn import GroupNorm
from torch.utils.data import DataLoader
from composer.algorithms.low_precision_groupnorm import LowPrecisionGroupNorm, apply_low_precision_groupnorm
from composer.algorithms.low_precision_grou... | composer-dev | tests/algorithms/test_low_precision_groupnorm.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from unittest.mock import Mock
import pytest
import torch
from composer.algorithms import Factorize
from composer.algorithms.factorize import FactorizedConv2d, FactorizedLinear
from composer.algorithms.factorize.factorize import LOG_NUM... | composer-dev | tests/algorithms/test_factorize_algorithm.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
from composer.algorithms.progressive_resizing import ProgressiveResizing, resize_batch
from composer.core import Event
from composer.core.state import State
from composer.core.time import TimeUnit
from composer... | composer-dev | tests/algorithms/test_progressive_resizing.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from copy import deepcopy
from operator import attrgetter
import pytest
import torch
from composer.algorithms.alibi import Alibi, apply_alibi
from composer.core import Event, State
from composer.devices import DeviceCPU
from composer.lo... | composer-dev | tests/algorithms/test_alibi.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""
Tests a variety of export options with our surgery methods applied, including
torchscript, torch.fx, and ONNX.
"""
import os
import pathlib
from typing import Any, Callable, Type
import pytest
import torch
import torch.fx
from compo... | composer-dev | tests/algorithms/test_torch_export.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
| composer-dev | tests/algorithms/__init__.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
from composer.algorithms.factorize import FactorizedConv2d, FactorizedLinear
@pytest.mark.parametrize('batch_size', [1, 2])
@pytest.mark.parametrize('h', [5])
@pytest.mark.parametrize('w', [6])
@pytest.mark.p... | composer-dev | tests/algorithms/test_factorized_modules.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import Callable
import pytest
import torch
from composer.algorithms.selective_backprop import SelectiveBackprop
from composer.algorithms.selective_backprop.selective_backprop import select_using_loss, should_selective_backpr... | composer-dev | tests/algorithms/test_selective_backprop.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""Test the blurpool algorithm.
Primitives are tested in test_blurpool.py
"""
from typing import List
from unittest.mock import Mock
import pytest
import torch
from composer.algorithms import BlurPool
from composer.algorithms.blurpool ... | composer-dev | tests/algorithms/test_blurpool.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import itertools
import pytest
import torch
from composer.algorithms import blurpool
def generate_pool_args():
n_vals = [2]
c_vals = [2]
size_vals = [(3, 3), (3, 7), (4, 4)]
strides = [1, 2]
filter_size_vals = [(1,... | composer-dev | tests/algorithms/test_blurpool_layers.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
import torch.nn.functional as F
from composer.algorithms import LabelSmoothing, label_smoothing
from composer.core import Event
def _generate_tensors_classification(batch_size: int, num_classes: int):
"""... | composer-dev | tests/algorithms/test_label_smoothing.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import Type
import pytest
from composer import Algorithm, Trainer
from composer.algorithms import GyroDropout, LayerFreezing
from tests.algorithms.algorithm_settings import get_alg_dataloader, get_alg_kwargs, get_alg_model, ... | composer-dev | tests/algorithms/test_algorithms_train.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
from composer.algorithms import MixUp
from composer.algorithms.mixup.mixup import _gen_mixing_coef, mixup_batch
from composer.core import Event
from composer.models import ComposerClassifier
# (N, C, d1, d2, ... | composer-dev | tests/algorithms/test_mixup.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import functools
from typing import Tuple
import numpy as np
import pytest
import torch
from PIL import Image
from torch.utils.data import DataLoader
from composer.algorithms import ColOut
from composer.algorithms.colout.colout import C... | composer-dev | tests/algorithms/test_colout.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from copy import deepcopy
import pytest
from composer.algorithms.seq_length_warmup import SeqLengthWarmup, set_batch_sequence_length
from composer.core import Event, State
from composer.devices import DeviceCPU
from composer.loggers imp... | composer-dev | tests/algorithms/test_seq_length_warmup.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
# Written by Gihyun Park, Junyeol Lee, and Jiwon Seo
import torch
from composer.algorithms.gyro_dropout import GyroDropoutLayer
def test_gyro_dropout_masking():
batch_size = 256
output_feature = 512
x = torch.randn(batch_s... | composer-dev | tests/algorithms/test_gyro_dropout.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import pytest
import torch
from composer.algorithms import factorize
@dataclass
class _RankReduce(object):
"""This is just here for con... | composer-dev | tests/algorithms/test_factorize_core.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import contextlib
import copy
import os
import pathlib
from typing import Type
import pytest
import torch
from composer import Trainer, algorithms
from composer.callbacks import CheckpointSaver
from composer.core import Algorithm, Time,... | composer-dev | tests/algorithms/test_required_on_load.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
@pytest.fixture
def state(minimal_state):
# make any test-specific needed modifications
# e.g. adding a conv model, or changing the dataloader
return minimal_state
# Every algorithm test should have the functi... | composer-dev | tests/algorithms/algorithm_test_template.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from copy import deepcopy
from unittest.mock import Mock
import pytest
import torch
from composer.algorithms import LayerFreezing
from composer.core import Event, Precision, State, Timestamp
from composer.devices import DeviceCPU, Devic... | composer-dev | tests/algorithms/test_layer_freezing.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
import torch
from composer.algorithms.cutout.cutout import CutOut, _generate_mask
from composer.core import Event
# Box validaton checks for a continuous rectangle, cannot handle multiple/coalesced boxes along x, y dimens... | composer-dev | tests/algorithms/test_cutout.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from unittest.mock import Mock
import pytest
import torch
from composer.algorithms import SqueezeExcite, SqueezeExciteConv2d
from composer.core import Event, State
from composer.functional import apply_squeeze_excite as apply_se
from co... | composer-dev | tests/algorithms/test_squeeze_excite.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
from typing import Callable, Tuple, Union, cast
import numpy as np
import pytest
import torch
from PIL.Image import Image as PillowImage
from PIL.Image import fromarray
from composer.algorithms.utils.augmentation_common import image_as_... | composer-dev | tests/algorithms/test_augmentations_functional.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import pytest
from torch.nn import LayerNorm
from composer.algorithms.low_precision_layernorm import LowPrecisionLayerNorm, apply_low_precision_layernorm
from composer.algorithms.low_precision_layernorm.low_precision_layernorm import LPL... | composer-dev | tests/algorithms/test_low_precision_layernorm.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
| composer-dev | tests/optim/__init__.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
import contextlib
from typing import List, Optional, Type
import pytest
from torch.utils.data import DataLoader
from composer.core import State, Time
from composer.core.time import TimeUnit
from composer.devices import DeviceCPU, Device... | composer-dev | tests/optim/test_scheduler.py |
# Copyright 2022 MosaicML Composer authors
# SPDX-License-Identifier: Apache-2.0
"""
Test inference APIs.
"""
import os
import tempfile
from functools import partial
from unittest.mock import ANY, patch
import pytest
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from composer.core import... | composer-dev | tests/utils/test_inference.py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.