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
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AMP | AMP-main/DeepSpeed/tests/onebit/test_nccl_backend.py | import time
import torch
import torch.distributed as dist
import numpy as np
import argparse
import deepspeed
import os
from deepspeed.runtime.comm.nccl import NcclBackend
parser = argparse.ArgumentParser()
parser.add_argument('--local_rank', type=int, default=-1)
args = parser.parse_args()
deepspeed.init_distribute... | 3,340 | 35.714286 | 109 | py |
AMP | AMP-main/DeepSpeed/tests/onebit/test_mpi_backend.py | from mpi4py import MPI
import time
import torch
import torch.distributed as dist
import numpy as np
import deepspeed
from deepspeed.runtime.comm.mpi import MpiBackend
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
deepspeed.init_distributed(dist_backend='nccl')
# Change cuda_aware to True to te... | 3,242 | 37.152941 | 109 | py |
AMP | AMP-main/DeepSpeed/tests/onebit/test_nccl_perf.py | import time
import torch
import torch.distributed as dist
import numpy as np
import argparse
import deepspeed
import os
from deepspeed.runtime.comm.nccl import NcclBackend
from deepspeed.utils.timer import SynchronizedWallClockTimer
from statistics import mean
timers = SynchronizedWallClockTimer()
parser = argparse.... | 2,977 | 30.347368 | 89 | py |
AMP | AMP-main/DeepSpeed/tests/onebit/test_mpi_perf.py | from mpi4py import MPI
import time
import torch
import torch.distributed as dist
import numpy as np
import deepspeed
from deepspeed.runtime.comm.mpi import MpiBackend
# Configure wall clock timer
from deepspeed.utils.timer import SynchronizedWallClockTimer
from statistics import mean
timers = SynchronizedWallClockT... | 2,150 | 27.68 | 83 | py |
AMP | AMP-main/DeepSpeed/tests/model/Megatron_GPT2/run_func_test.py | # coding=utf-8
# Copyright (c) 2019, The Microsoft DeepSpeed Team. All rights reserved.
#
# Note: please copy webtext data to "Megatron-LM" folder, before running this script.
import unittest
import subprocess
import os
import time
import re
from .test_common import BaseTestCase
LAYERS = 2
HIDDEN_SIZE = 128
ATTN_HEAD... | 19,290 | 30.78089 | 92 | py |
AMP | AMP-main/DeepSpeed/docs/code-docs/source/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 2,601 | 30.349398 | 83 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/pretrain_transgan.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 5,573 | 32.578313 | 101 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/het_model.py | # Script to reproduce homogeneous setting results
import math
import time
from collections import defaultdict
import operator
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F
from sa impo... | 4,173 | 30.383459 | 137 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/homogeneous.py | # Script to reproduce homogeneous setting results
import math
import time
from collections import defaultdict
import operator
import shutil
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F... | 4,209 | 30.893939 | 137 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/het_cluster.py | # Script to reproduce homogeneous setting results
import math
import time
from collections import defaultdict
import operator
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F
from sa impo... | 4,308 | 31.643939 | 137 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/pipe.py | import copy
import time
import torch
import numpy as np
def pipe_ast(L, cost_e, cost_c, k, B):
time_dp_s = time.time()
possible = [0]
for i in range(1, L+1):
ptr = 0
while ptr + i <= L:
possible.append(sum(cost_e[ptr:ptr+i]))
ptr += 1
possible = sorted... | 4,564 | 30.054422 | 97 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/homogeneous_sa.py | import math
import time
from collections import defaultdict
import operator
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F
from sa import *
from cost_homo import AMP
from amp_utils impo... | 6,549 | 32.762887 | 149 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/amp_utils.py | import torch
import os
import subprocess
import json
import torch
import spur
# returns the rank to axis. If pp_deg=dp_deg=mp_deg=2, rank 3 gives (0,1,1).
# This is deepspeed method
def rank2axis(rank, mp_deg, dp_deg, pp_deg):
pp = rank // (mp_deg * dp_deg)
remainder = rank % (mp_deg * dp_deg)
dp = remain... | 6,218 | 34.537143 | 155 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/cost_homo.py | from collections import defaultdict
import time
import json
import copy
import subprocess
import sys
import os
import torch
import torch.nn as nn
import numpy as np
from amp_utils import rank2axis, axis2rank, get_host
from pipe import pipe_ds, pipe_ast, pipe_cost, pipe_uniform, pipe_gpt2
home_dir = os.environ['HOME... | 14,692 | 39.144809 | 135 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/pretrain_gpt2.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 5,197 | 30.889571 | 102 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/cost_het_cluster.py | from collections import defaultdict
import time
import json
import copy
import subprocess
import sys
import os
import torch
import torch.nn as nn
import numpy as np
from amp_utils import rank2axis, axis2rank, get_host
from pipe import pipe_ds, pipe_ast, pipe_cost, pipe_uniform, pipe_gpt2
home_dir = os.environ['HOME... | 13,302 | 38.829341 | 131 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/cost_het_model.py | from collections import defaultdict
import time
import json
import copy
import subprocess
import sys
import os
import torch
import torch.nn as nn
import numpy as np
from amp_utils import rank2axis, axis2rank, get_host
from pipe import pipe_ds, pipe_ast, pipe_cost, pipe_uniform, pipe_gpt2
home_dir = os.environ['HOME... | 15,712 | 39.919271 | 131 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/sa.py | import copy
import time
import os
from collections import defaultdict
import torch
import numpy as np
from amp_utils import factor
class SymDict(dict):
def __getitem__(self, key):
return dict.__getitem__(self, key if key[0] < key[1] else (key[1],key[0]))
def __setitem__(self, key, value):
di... | 13,429 | 30.378505 | 121 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/test.py | from collections import defaultdict
import torch
import torch.nn as nn
import numpy as np
from amp_utils import rank2axis, axis2rank
from pipe import pipe_ds, pipe_dp
import subprocess
import sys
sys.path.append("/users/dacheng2/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/examples/")
sys.path.appen... | 3,205 | 35.022472 | 136 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/amp_fix_rank.py | import math
import time
from collections import defaultdict
import operator
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F
from sa import generate_initial, neighbor, cool_down, candidate... | 1,824 | 27.076923 | 103 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/amp_transgan_pipe_test.py | import math
import time
from collections import defaultdict
import operator
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F
from sa import generate_initial, neighbor, cool_down, candidate... | 2,870 | 28.90625 | 136 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/amp_gpt2_pipe_test.py | import math
import time
from collections import defaultdict
import operator
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F
from sa import generate_initial, neighbor, cool_down, candidate... | 2,508 | 27.191011 | 127 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/measure_latency.py | import torch
import time
a = torch.randn(128, 1000, 64).cuda()
time_s = time.time()
a = a ** 2
time_e = time.time()
torch.cuda.synchronize()
time_sync = time.time()
print(time_e - time_s, time_sync - time_e)
| 211 | 15.307692 | 42 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/estimate_bandwidth.py | import torch
import torch.distributed as dist
import sys
import os
init_method = 'tcp://'
master_ip = "172.31.46.201"
master_port = os.getenv('MASTER_PORT', '6001')
init_method += master_ip + ':' + master_port
rank = int(sys.argv[1])
torch.cuda.set_device(rank)
torch.distributed.init_process_group(
backend="nccl... | 669 | 21.333333 | 46 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/test_linear.py | import time
import torch
import torch.nn.functional as F
import torch.nn.init as init
from torch.nn.parameter import Parameter
class test1(torch.nn.Module):
def __init__(self):
super(test1, self).__init__()
self.weight = Parameter(torch.empty(
128, 32,dtype=torch.float16,
... | 2,189 | 27.815789 | 155 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/test_large.py | import time
import torch
import torch.nn.functional as F
import torch.nn.init as init
from torch.nn.parameter import Parameter
class test1(torch.nn.Module):
def __init__(self):
super(test1, self).__init__()
self.weight = Parameter(torch.empty(
4096, 1024,dtype=torch.float16,
... | 1,113 | 26.85 | 152 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/preprocess_data.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 7,754 | 37.58209 | 94 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/amp_gpt2_pipe_single.py | import math
import time
from collections import defaultdict
import operator
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F
from sa import generate_initial, neighbor, cool_down, candidate... | 2,364 | 26.5 | 124 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/merge_mp_partitions.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 10,931 | 37.090592 | 80 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/tools/amp_transgan_pipe_single.py | import math
import time
from collections import defaultdict
import operator
import random
import os
import copy
from tqdm import tqdm
import numpy as np
import torch
from torch import optim as optim
import torch.nn as nn
import torch.nn.functional as F
from sa import generate_initial, neighbor, cool_down, candidate... | 2,357 | 26.418605 | 124 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/custom_ops.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | 5,644 | 43.448819 | 146 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/training_stats.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | 10,707 | 38.806691 | 118 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/persistence.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and re... | 9,708 | 37.527778 | 144 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/misc.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and re... | 10,992 | 40.798479 | 133 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/ops/bias_act.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | 10,047 | 46.173709 | 185 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/ops/grid_sample_gradfix.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | 3,299 | 38.285714 | 138 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/ops/conv2d_gradfix.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | 7,677 | 43.900585 | 197 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/ops/upfirdn2d.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | 16,287 | 41.306494 | 157 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/ops/conv2d_resample.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | 7,591 | 47.356688 | 130 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/torch_utils/ops/fma.py | # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and rel... | 2,034 | 32.360656 | 105 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/indexer.py | import torch
import torch.distributed as dist
from megatron import get_args
from megatron import mpu
from megatron.checkpointing import load_ict_checkpoint
from megatron.data.ict_dataset import get_ict_dataset
from megatron.data.realm_dataset_utils import get_one_epoch_dataloader
from megatron.data.realm_index import ... | 4,091 | 43.478261 | 111 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/package_info.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 1,219 | 38.354839 | 106 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/arguments_amp.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 26,766 | 48.02381 | 113 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/arguments.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 37,607 | 45.718012 | 107 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/memory.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 5,043 | 33.547945 | 78 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/initialize.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 8,763 | 36.452991 | 101 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/text_generation_utils.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 15,909 | 37.523002 | 81 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/training.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 49,697 | 38.318038 | 132 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/utils.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 7,765 | 37.068627 | 86 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/module.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 1,117 | 33.9375 | 74 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/global_vars.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 7,983 | 30.066148 | 85 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/torch_test.py | import torch
import time
for i in range(10000000000000):
a = torch.ones((1024,)).cuda()
a = a**2
time.sleep(1)
| 124 | 14.625 | 34 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/__init__.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 1,383 | 31.186047 | 74 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/checkpointing.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 12,728 | 36.328446 | 103 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/fp16/fp16util.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 8,115 | 36.400922 | 337 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/fp16/loss_scaler.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 10,248 | 38.879377 | 325 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/fp16/fp16.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 32,260 | 48.480061 | 435 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/lazy_loader.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 6,938 | 33.182266 | 94 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/tf_dl.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 5,506 | 41.361538 | 121 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/wordpiece.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICEN... | 15,634 | 38.885204 | 154 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/tokenization.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 35,935 | 37.933911 | 121 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/datasets.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 32,704 | 35.996606 | 134 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/file_utils.py | # This file is provided as is from:
# https://github.com/huggingface/pytorch-pretrained-BERT
# Please refer to their repository for copyright.
"""
Utilities for working with the local dataset cache.
This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp
Copyright by the AllenNLP author... | 8,442 | 32.240157 | 112 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/__init__.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 5,939 | 40.830986 | 146 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/samplers.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 5,814 | 39.381944 | 96 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/deprecated_data_utils/configure_data.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 9,227 | 35.474308 | 81 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/mappings.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 5,174 | 28.237288 | 104 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/initialize.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 8,872 | 34.071146 | 90 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/cross_entropy.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 5,065 | 42.299145 | 80 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/utils.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 2,711 | 37.197183 | 80 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/data.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 6,113 | 34.754386 | 89 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/grads.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 4,898 | 37.273438 | 88 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/layers.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 15,977 | 40.718016 | 95 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/random.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 12,484 | 38.015625 | 79 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/tests/test_layers.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 19,247 | 35.248588 | 80 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/tests/test_data.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 2,915 | 31.764045 | 79 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/tests/test_cross_entropy.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 3,868 | 34.495413 | 74 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/tests/commons.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 2,620 | 30.202381 | 75 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/tests/test_random.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 6,695 | 31.663415 | 80 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/mpu/tests/test_initialize.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 3,495 | 35.416667 | 78 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/fused_kernels/__init__.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 4,010 | 38.712871 | 81 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/ict_dataset.py | import itertools
import random
import numpy as np
from torch.utils.data import Dataset
from megatron import get_tokenizer
from megatron import get_args
from megatron.data.dataset_utils import get_indexed_dataset_
from megatron.data.realm_dataset_utils import get_block_samples_mapping
def get_ict_dataset(use_titles=... | 5,555 | 38.404255 | 103 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/realm_dataset_utils.py | import os
import time
import numpy as np
import torch
from megatron import mpu, print_rank_0
from megatron.data.dataset_utils import create_masked_lm_predictions, pad_and_convert_to_numpy
from megatron.data.samplers import DistributedBatchSampler
from megatron import get_args, get_tokenizer, print_rank_0, mpu
def g... | 7,520 | 36.232673 | 104 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/realm_index.py | import itertools
import os
import pickle
import shutil
import numpy as np
import torch
from megatron import get_args
from megatron import mpu
def detach(tensor):
return tensor.detach().cpu().numpy()
class BlockData(object):
"""Serializable data structure for holding data for blocks -- embeddings and neces... | 8,822 | 39.658986 | 112 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/bert_dataset.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 9,609 | 40.244635 | 82 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/gpt2_dataset.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 13,427 | 40.9625 | 81 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/indexed_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# copied from fairseq/fairseq/data/indexed_dataset.py
# Removed IndexedRawTextDataset since it relied on Fairseq dictionary
# other slight mo... | 18,535 | 31.462347 | 105 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/samplers.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 6,055 | 39.644295 | 79 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/trans_gan_dataset.py | # -*- coding: utf-8 -*-
# @Date : 2019-07-25
# @Author : Xinyu Gong (xy_gong@tamu.edu)
# @Link : None
# @Version : 0.0
from functools import partial
import torch
import os
import PIL
from torchvision.datasets.vision import VisionDataset
from torchvision.datasets.utils import download_file_from_google_drive, che... | 1,418 | 28.5625 | 105 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/data/test/test_indexed_dataset.py | # This file isn't really a formal automated test, it's just a place to
# put some code used during development and manual testing of
# indexed_dataset.
from megatron.data import indexed_dataset
from megatron.tokenizer import build_tokenizer
import argparse
import os
import sys
import torch
script_dir = os.path.dirna... | 4,619 | 35.666667 | 77 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/classification.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 4,185 | 41.282828 | 111 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/ada.py | import torch
import numpy as np
_constant_cache = dict()
def constant(value, shape=None, dtype=None, device=None, memory_format=None):
value = np.asarray(value)
if shape is not None:
shape = tuple(shape)
if dtype is None:
dtype = torch.get_default_dtype()
if device is None:
dev... | 2,886 | 30.380435 | 120 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/multiple_choice.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 4,642 | 40.828829 | 111 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/realm_model.py | import os
import torch
from megatron import get_args, print_rank_0
from megatron.checkpointing import get_checkpoint_tracker_filename, get_checkpoint_name
from megatron.model import BertModel
from megatron.module import MegatronModule
from megatron import mpu
from megatron.model.utils import get_linear_layer
from mega... | 8,670 | 41.297561 | 111 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/bert_model.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 7,670 | 37.164179 | 83 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/gpt2_model.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 8,810 | 36.815451 | 114 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/fused_bias_gelu.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 2,091 | 33.295082 | 107 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/diff_aug.py | # Code Heavily borrowed from Differentiable Augmentation and StyleGAN-ADA
import torch
import torch.nn.functional as F
import numpy as np
import random
from .ada import *
# from models_search import conv2d_gradfix
import scipy.signal
from torch_utils import persistence
from torch_utils import misc
from torch_utils.ops... | 31,409 | 51.613065 | 366 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/utils.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 11,858 | 32.882857 | 105 | py |
AMP | AMP-main/DeepSpeed/DeepSpeedExamples/Megatron-LM-v1.1.5-3D_parallelism/megatron/model/transformer.py | # coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 24,215 | 36.896714 | 91 | py |
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