code stringlengths 197 38.4k | apis sequence | extract_api stringlengths 137 20.3k |
|---|---|---|
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
from typing import Any, Optional, Tuple
import torch
import torch.distributed as dist
from colossalai.communication import all_gather, all_reduce, reduce_scatter
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
... | [
"colossalai.core.global_context.get_local_rank",
"colossalai.communication.all_gather",
"colossalai.communication.reduce_scatter",
"colossalai.core.global_context.get_group",
"colossalai.communication.all_reduce",
"colossalai.core.global_context.get_ranks_in_group"
] | [((462, 499), 'torch.cuda.amp.custom_fwd', 'custom_fwd', ([], {'cast_inputs': 'torch.float16'}), '(cast_inputs=torch.float16)\n', (472, 499), False, 'from torch.cuda.amp import custom_bwd, custom_fwd\n'), ((5920, 5957), 'torch.cuda.amp.custom_fwd', 'custom_fwd', ([], {'cast_inputs': 'torch.float16'}), '(cast_inputs=tor... |
import torch
from colossalai.tensor.op_wrapper import colo_op_impl
from colossalai.tensor import ColoTensor
@colo_op_impl(torch.nn.functional.cross_entropy)
def colo_cross_entropy(types, args=(), kwargs=None, pg=None):
arg_num = len(args)
if arg_num > 0:
input_tensor = args[0]
if arg_num > 1:
... | [
"colossalai.tensor.op_wrapper.colo_op_impl"
] | [((111, 158), 'colossalai.tensor.op_wrapper.colo_op_impl', 'colo_op_impl', (['torch.nn.functional.cross_entropy'], {}), '(torch.nn.functional.cross_entropy)\n', (123, 158), False, 'from colossalai.tensor.op_wrapper import colo_op_impl\n'), ((796, 859), 'torch.nn.functional.cross_entropy', 'torch.nn.functional.cross_ent... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch
try:
import colossal_C
except:
print('Colossalai should be built with cuda extension to use the FP16 optimizer')
from torch.optim import Optimizer
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context... | [
"colossalai.utils.print_rank_0",
"colossalai.logging.get_dist_logger",
"colossalai.utils.clip_grad_norm_fp32",
"colossalai.core.global_context.get_group",
"colossalai.utils.copy_tensor_parallel_attributes",
"colossalai.utils.count_zeros_fp32",
"colossalai.utils.multi_tensor_applier"
] | [((16274, 16289), 'torch.no_grad', 'torch.no_grad', ([], {}), '()\n', (16287, 16289), False, 'import torch\n'), ((1471, 1559), 'colossalai.utils.multi_tensor_applier', 'multi_tensor_applier', (['colossal_C.multi_tensor_scale', 'overflow_buf', '[this, that]', '(1.0)'], {}), '(colossal_C.multi_tensor_scale, overflow_buf,... |
#Adapted from https://github.com/hpcaitech/ColossalAI-Examples/blob/main/language/gpt/model/gpt1d.py
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import math
from colossalai.utils.activation_checkpoint import checkpoint
import torch
from torch import nn as nn, Tensor
from colossalai.core import global_conte... | [
"colossalai.utils.checkpoint",
"colossalai.nn.layer.Linear1D_Col",
"colossalai.nn.Dropout",
"colossalai.nn.layer.Linear1D_Row",
"colossalai.nn.layer.utils.divide"
] | [((1840, 1868), 'colossalai.nn.Dropout', 'col_nn.Dropout', (['dropout_prob'], {}), '(dropout_prob)\n', (1854, 1868), True, 'from colossalai import nn as col_nn\n'), ((2252, 2292), 'colossalai.utils.checkpoint', 'checkpoint', (['self._forward', 'hidden_states'], {}), '(self._forward, hidden_states)\n', (2262, 2292), Fal... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import os
from colossalai.constants import (DEPTH_3D, INPUT_GROUP_3D, OUTPUT_GROUP_3D,
WEIGHT_GROUP_3D)
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
from torch import Tensor... | [
"colossalai.core.global_context.get_global_rank"
] | [((1522, 1543), 'colossalai.core.global_context.get_global_rank', 'gpc.get_global_rank', ([], {}), '()\n', (1541, 1543), True, 'from colossalai.core import global_context as gpc\n')] |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
import os.path as osp
import pytest
from colossalai.context import ParallelMode
from colossalai.core import global_context as gpc
from colossalai.initialize import initialize
from colossalai.logging import get_global_dist_logger
NUM_BATCH = 128
BATCH_SIZE = 32
SEQ_LE... | [
"colossalai.initialize.initialize",
"colossalai.core.global_context.is_last_rank",
"colossalai.core.global_context.destroy",
"colossalai.logging.get_global_dist_logger"
] | [((411, 470), 'os.path.join', 'osp.join', (['DIR_PATH', '"""../configs/pipeline_vanilla_resnet.py"""'], {}), "(DIR_PATH, '../configs/pipeline_vanilla_resnet.py')\n", (419, 470), True, 'import os.path as osp\n'), ((474, 548), 'pytest.mark.skip', 'pytest.mark.skip', (['"""This test should be invoked using the test.sh pro... |
import torch
import torch.distributed as dist
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
from colossalai.utils import get_current_device
def send_tensor_meta(tensor, need_meta=True, next_rank=None):
"""Sends tensor meta information before sending a... | [
"colossalai.core.global_context.get_prev_global_rank",
"colossalai.core.global_context.get_local_rank",
"colossalai.utils.get_current_device",
"colossalai.core.global_context.get_group",
"colossalai.core.global_context.get_world_size",
"colossalai.core.global_context.get_next_global_rank"
] | [((3203, 3247), 'colossalai.core.global_context.get_world_size', 'gpc.get_world_size', (['ParallelMode.PARALLEL_1D'], {}), '(ParallelMode.PARALLEL_1D)\n', (3221, 3247), True, 'from colossalai.core import global_context as gpc\n'), ((3260, 3279), 'torch.numel', 'torch.numel', (['tensor'], {}), '(tensor)\n', (3271, 3279)... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
from typing import Any, Tuple
import torch
import torch.distributed as dist
from colossalai.communication import all_gather, reduce_scatter, scatter
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
from colossal... | [
"colossalai.utils.empty_cache",
"colossalai.core.global_context.get_local_rank",
"colossalai.communication.all_gather",
"colossalai.communication.reduce_scatter",
"colossalai.core.global_context.get_group",
"colossalai.core.global_context.get_ranks_in_group"
] | [((991, 1004), 'colossalai.utils.empty_cache', 'empty_cache', ([], {}), '()\n', (1002, 1004), False, 'from colossalai.utils import empty_cache, get_current_device\n'), ((1171, 1216), 'colossalai.communication.all_gather', 'all_gather', (['A', 'input_dim', 'input_parallel_mode'], {}), '(A, input_dim, input_parallel_mode... |
import inspect
from pathlib import Path
from functools import partial
import torch
from torch.autograd.profiler import profile
import torch.distributed as dist
from torch.distributed import ReduceOp
from colossalai.utils import get_current_device
from .prof_utils import BaseProfiler, _format_time, _format_memor... | [
"colossalai.utils.get_current_device"
] | [((7912, 7938), 'torch.distributed.get_world_size', 'dist.get_world_size', (['group'], {}), '(group)\n', (7931, 7938), True, 'import torch.distributed as dist\n'), ((8639, 8665), 'torch.distributed.get_world_size', 'dist.get_world_size', (['group'], {}), '(group)\n', (8658, 8665), True, 'import torch.distributed as dis... |
import contextlib
import os
import colossalai
import torch
from colossalai.core import global_context as gpc
from colossalai.engine.schedule import (InterleavedPipelineSchedule, PipelineSchedule)
from colossalai.logging import get_dist_logger
from colossalai.nn import CosineAnnealingWarmupLR
from colossalai.t... | [
"colossalai.trainer.hooks.ThroughputHook",
"colossalai.trainer.Trainer",
"colossalai.trainer.hooks.LogMetricByStepHook",
"colossalai.trainer.hooks.LossHook",
"colossalai.logging.get_dist_logger",
"colossalai.initialize",
"colossalai.launch_from_torch",
"colossalai.utils.MultiTimer",
"colossalai.trai... | [((984, 1032), 'colossalai.launch_from_torch', 'colossalai.launch_from_torch', ([], {'config': 'args.config'}), '(config=args.config)\n', (1012, 1032), False, 'import colossalai\n'), ((1049, 1066), 'colossalai.logging.get_dist_logger', 'get_dist_logger', ([], {}), '()\n', (1064, 1066), False, 'from colossalai.logging i... |
import click
from .utils import *
from .benchmark import run_benchmark
from colossalai.context import Config
__all__ = ['benchmark']
@click.command()
@click.option("-g", "--gpus", type=int, default=None, help="Total number of devices to use.")
@click.option("-b", "--batch_size", type=int, default=8, help="Batch siz... | [
"colossalai.context.Config"
] | [((138, 153), 'click.command', 'click.command', ([], {}), '()\n', (151, 153), False, 'import click\n'), ((155, 252), 'click.option', 'click.option', (['"""-g"""', '"""--gpus"""'], {'type': 'int', 'default': 'None', 'help': '"""Total number of devices to use."""'}), "('-g', '--gpus', type=int, default=None, help=\n '... |
from functools import partial
import colossalai
import pytest
import torch
import torch.multiprocessing as mp
import torch.nn as nn
from colossalai.logging import get_dist_logger
from colossalai.testing import parameterize
from colossalai.utils import free_port
from colossalai.context import MOE_CONTEXT
fro... | [
"colossalai.launch",
"colossalai.logging.get_dist_logger",
"colossalai.utils.free_port",
"colossalai.testing.rerun_on_exception",
"colossalai.utils.get_current_device",
"colossalai.context.MOE_CONTEXT.setup",
"colossalai.nn.layer.MoeModule",
"colossalai.testing.parameterize"
] | [((1178, 1227), 'colossalai.testing.parameterize', 'parameterize', (['"""init_device_type"""', "['cpu', 'cuda']"], {}), "('init_device_type', ['cpu', 'cuda'])\n", (1190, 1227), False, 'from colossalai.testing import parameterize\n'), ((1230, 1320), 'colossalai.testing.parameterize', 'parameterize', (['"""shard_strategy... |
#!/usr/bin/env python
# -*- encoding: utf-8 -*-
from colossalai.context import ParallelMode
from colossalai.registry import HOOKS
from colossalai.utils import is_no_pp_or_last_stage
from ._base_hook import BaseHook
from ..metric import Loss, Accuracy1D, Accuracy2D, Accuracy, Accuracy2p5D, Accuracy3D
class MetricHook... | [
"colossalai.utils.is_no_pp_or_last_stage"
] | [((881, 905), 'colossalai.utils.is_no_pp_or_last_stage', 'is_no_pp_or_last_stage', ([], {}), '()\n', (903, 905), False, 'from colossalai.utils import is_no_pp_or_last_stage\n')] |
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