entry_point stringlengths 1 65 | original_triton_python_code stringlengths 208 619k | optimised_triton_code stringlengths 1.15k 275k | repo_name stringlengths 7 115 | module_name stringlengths 1 65 | synthetic bool 1
class | uuid int64 0 18.5k | licenses listlengths 1 6 | stars int64 0 19.8k | sha stringlengths 40 40 | repo_link stringlengths 72 180 |
|---|---|---|---|---|---|---|---|---|---|---|
Discriminator | import torch
import torch.nn as nn
class Discriminator(nn.Module):
def __init__(self, n_h):
super(Discriminator, self).__init__()
self.f_k = nn.Bilinear(n_h, n_h, 1)
for m in self.modules():
self.weights_init(m)
def weights_init(self, m):
if isinstance(m, nn.Bilin... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_st... | EchooooAi/gsrl | Discriminator | false | 402 | [
"MIT"
] | 0 | 1cfc73fe052c09fe05df09c92c5232e7341e9ad0 | https://github.com/EchooooAi/gsrl/tree/1cfc73fe052c09fe05df09c92c5232e7341e9ad0 |
LogisticCumulativeLink | import torch
from torch import nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
class LogisticCumulativeLink(nn.Module):
"""
Converts a single number to the proportional odds of belonging to a class.
Parameters
----------
num_classes : int
... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch import nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
assert_size_str... | Ramstein/Retinopathy2 | LogisticCumulativeLink | false | 985 | [
"MIT"
] | 0 | 669e74206c466e6351d4e3df6087c6aa39b5c6c2 | https://github.com/Ramstein/Retinopathy2/tree/669e74206c466e6351d4e3df6087c6aa39b5c6c2 |
MaxPoolBranch | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.utils.data
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guard... | HyperGAN/imgclsmob | MaxPoolBranch | false | 17,676 | [
"MIT"
] | 9 | 88b9776a5a927dc9a54e85e31978c4a9ec5ecbf3 | https://github.com/HyperGAN/imgclsmob/tree/88b9776a5a927dc9a54e85e31978c4a9ec5ecbf3 |
RMSE | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import libdevice, math as tl_math
import torc... | Khoronus/MonoDepth-FPN-PyTorch | RMSE | false | 723 | [
"MIT"
] | 0 | 6e41e297723d1490c537e04afff905c61d6f0ff8 | https://github.com/Khoronus/MonoDepth-FPN-PyTorch/tree/6e41e297723d1490c537e04afff905c61d6f0ff8 |
CMVN | import torch
import torch.nn as nn
class CMVN(nn.Module):
__constants__ = ['mode', 'dim', 'eps']
def __init__(self, mode='global', dim=2, eps=1e-10):
super(CMVN, self).__init__()
if mode != 'global':
raise NotImplementedError(
'Only support global mean variance nor... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_... | Ethan07902050/s3prl | CMVN | false | 2,271 | [
"MIT"
] | 0 | 854aff0b3062fc2cff531401923b8745f64701e7 | https://github.com/Ethan07902050/s3prl/tree/854aff0b3062fc2cff531401923b8745f64701e7 |
AffineConstFlow | import torch
import numpy as np
import torch.nn as nn
import torch.utils.data
class Flow(nn.Module):
"""
Generic class for flow functions
"""
def __init__(self):
super().__init__()
def forward(self, z):
"""
:param z: input variable, first dimension is batch dim
:r... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import math as tl_math
import numpy as np
import torch.nn as nn
import torch.utils.data
assert_s... | mbaddar1/normalizing-flows | AffineConstFlow | false | 10,772 | [
"MIT"
] | 0 | d1409464a65234354b29ed9ea0ede2d12100440c | https://github.com/mbaddar1/normalizing-flows/tree/d1409464a65234354b29ed9ea0ede2d12100440c |
NeuralNetwork | import torch
import torch.nn.functional as F
import torch.nn as nn
class NeuralNetwork(nn.Module):
def __init__(self, state_size, action_size, fc1_units=128, fc2_units=64):
"""Initialize parameters and build model.
Params
======
state_size (int): Dimension of each state
... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as ... | escribano89/bananas-dqn | NeuralNetwork | false | 10,048 | [
"MIT"
] | 0 | 53497ab99bd7d78a1d8b9b387b4fd056be3a4564 | https://github.com/escribano89/bananas-dqn/tree/53497ab99bd7d78a1d8b9b387b4fd056be3a4564 |
FeatureEncoder | import torch
from torch import nn
import torch.nn.functional as F
class FeatureEncoder(nn.Module):
def __init__(self, video_dim, dim):
super(FeatureEncoder, self).__init__()
self.linear = nn.Linear(video_dim, dim)
def forward(self, feature, h=None):
feature = self.linear(feature)
... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch import nn
assert_size_stride = torch._C._dynamo.guards.assert_size_st... | JiwanChung/tapm | FeatureEncoder | false | 8,389 | [
"MIT"
] | 14 | ec42b139d1c012daccc55f85e67744488d526476 | https://github.com/JiwanChung/tapm/tree/ec42b139d1c012daccc55f85e67744488d526476 |
Clamp | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.optim
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_... | ai-in-motion/moai | Clamp | false | 18,321 | [
"Apache-2.0"
] | 10 | e38cac046c059d2e2331ef4883bbabc5a500a5cf | https://github.com/ai-in-motion/moai/tree/e38cac046c059d2e2331ef4883bbabc5a500a5cf |
ModulatedConv2d | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
from torch.autograd... | ArashVahabpour/encoder4editing | ModulatedConv2d | false | 1,990 | [
"MIT"
] | 0 | 819b90ecd7397fbe2ab7cb30eb451dab0f3149fd | https://github.com/ArashVahabpour/encoder4editing/tree/819b90ecd7397fbe2ab7cb30eb451dab0f3149fd |
GCN | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
from torch.nn impor... | AlexMinhao/NAS_GNN | GCN | false | 10 | [
"Apache-2.0"
] | 0 | 89183988a96e1d6baed910ab3843c13282f8b077 | https://github.com/AlexMinhao/NAS_GNN/tree/89183988a96e1d6baed910ab3843c13282f8b077 |
GAT | import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
class GraphAttention(nn.Module):
"""
Simple GAT layer, similar to https://arxiv.org/abs/1710.10903
"""
def __init__(self, in_features, out_features, dropout, alpha, concat=True):
super(GraphAttention, self).... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | NightmareNyx/pygcn | GAT | false | 4,274 | [
"MIT"
] | 0 | 3972f167ce7fcc41cb21284d75816dfd9a15f7ef | https://github.com/NightmareNyx/pygcn/tree/3972f167ce7fcc41cb21284d75816dfd9a15f7ef |
Invertible1x1Conv | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn.functional as F
from torch.autograd import Variable
import torch... | malithj/TensorRT | Invertible1x1Conv | false | 12,764 | [
"Apache-2.0"
] | 0 | 48605d4b5673df89110cf41249ad007259d7c34a | https://github.com/malithj/TensorRT/tree/48605d4b5673df89110cf41249ad007259d7c34a |
NormedLinear | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
from torch import n... | Bo396543018/mmdetection | NormedLinear | false | 7,786 | [
"Apache-2.0"
] | 16 | eb337336d3c239dc1d20534496f69df41ae9a300 | https://github.com/Bo396543018/mmdetection/tree/eb337336d3c239dc1d20534496f69df41ae9a300 |
Scale | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_st... | ChuchuHan/DMRNet | Scale | false | 2,095 | [
"MIT"
] | 0 | b933f364c56af148593d7a3b9967479c03aec398 | https://github.com/ChuchuHan/DMRNet/tree/b933f364c56af148593d7a3b9967479c03aec398 |
SimpleGCN | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import math
import torch.nn as nn
from torch.nn.parameter import Parameter
from ... | Kh4L/kaolin | SimpleGCN | false | 712 | [
"ECL-2.0",
"Apache-2.0"
] | 0 | 83002fedc67e1c9112a8f834ffb4f8a890e6042a | https://github.com/Kh4L/kaolin/tree/83002fedc67e1c9112a8f834ffb4f8a890e6042a |
Net | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
assert_size_stride = torch._C... | jobsfan/pytorch | Net | false | 6,972 | [
"Apache-2.0"
] | 1 | 221ae8e3673f8d2fbf0a58f40a30553c76084831 | https://github.com/jobsfan/pytorch/tree/221ae8e3673f8d2fbf0a58f40a30553c76084831 |
NaiveGroupNorm | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
from torch.nn import Module
from torch.nn import Parameter
from torch.nn import... | EllisHui/outOfRailWay | NaiveGroupNorm | false | 427 | [
"BSD-2-Clause"
] | 0 | e3bf9aaa18879bee5536740d55006c872f06278f | https://github.com/EllisHui/outOfRailWay/tree/e3bf9aaa18879bee5536740d55006c872f06278f |
DiceLoss | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import math as tl_math
import torch.nn as nn
... | GTreeSoftware/DB-Enhance | DiceLoss | false | 2,287 | [
"MIT"
] | 0 | 98332c62297db7756f5385c038089bb8736a27c0 | https://github.com/GTreeSoftware/DB-Enhance/tree/98332c62297db7756f5385c038089bb8736a27c0 |
ToTensor | from torch.nn import Module
import torch
class ToTensor(Module):
def __init__(self):
super(ToTensor, self).__init__()
def forward(self, x):
x = x / 255
return x
def get_inputs():
return [torch.rand([4, 4, 4, 4])]
def get_init_inputs():
return [[], {}]
| import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch.nn import Module
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._em... | Yu-Zhewen/finn | ToTensor | false | 12,002 | [
"BSD-3-Clause"
] | 0 | 5c1be584d47edfe4b43976a32a5c537f4037b017 | https://github.com/Yu-Zhewen/finn/tree/5c1be584d47edfe4b43976a32a5c537f4037b017 |
EqualLinearActModule | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
from functools import partial
from copy import deepcopy
fr... | Sardhendu/mmediting | EqualLinearActModule | false | 9,915 | [
"Apache-2.0"
] | 0 | 623b59ac758d856abc9fab7e845beeab61074d8f | https://github.com/Sardhendu/mmediting/tree/623b59ac758d856abc9fab7e845beeab61074d8f |
ChannelNorm | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import math as tl_math
import torch.nn as nn
... | Finspire13/RL-Surgical-Gesture-Segmentation | ChannelNorm | false | 8,096 | [
"MIT"
] | 40 | 0cb166208f463cd36726f91d1ccaa25093736b47 | https://github.com/Finspire13/RL-Surgical-Gesture-Segmentation/tree/0cb166208f463cd36726f91d1ccaa25093736b47 |
ACNet | import torch
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
def from_numpy(np_array, dtype=np.float32):
if np_array.dtype != dtype:
np_array = np_array.astype(dtype)
return Variable(torch.from_numpy(np_array))
class ACNet(nn.Module):
... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import numpy as np
import tor... | RocksonZeta/ac | ACNet | false | 996 | [
"MIT"
] | 0 | 050a5cd176864cc2e1f7c376045c3342a7f93221 | https://github.com/RocksonZeta/ac/tree/050a5cd176864cc2e1f7c376045c3342a7f93221 |
Relation | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.utils.data
impor... | liangshb/few-shot-text-classification | Relation | false | 10,384 | [
"Apache-2.0"
] | 0 | 3bb2b3e87215ccf0fb6d5b0d436774557ac9ddd0 | https://github.com/liangshb/few-shot-text-classification/tree/3bb2b3e87215ccf0fb6d5b0d436774557ac9ddd0 |
SoftTargetCrossEntropy | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import math as tl_math
import torch.nn as nn
... | Paddle-Team-7/PiT-Paddle-master | SoftTargetCrossEntropy | false | 9,342 | [
"Apache-2.0"
] | 0 | 125268471ca34be3161cce5364c728341c3711e0 | https://github.com/Paddle-Team-7/PiT-Paddle-master/tree/125268471ca34be3161cce5364c728341c3711e0 |
MatrixConv2dMultiResblock | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
import ... | RyusukeYamano/nngen | MatrixConv2dMultiResblock | false | 14,350 | [
"Apache-2.0"
] | 207 | 9ed1f7fb83908794aa94d70287d89545d45fe875 | https://github.com/RyusukeYamano/nngen/tree/9ed1f7fb83908794aa94d70287d89545d45fe875 |
SEModule | import torch
from torch import nn
class SEModule(nn.Module):
def __init__(self, in_channels, reduction=4):
super(SEModule, self).__init__()
self.avg_pool = nn.AdaptiveAvgPool2d(1)
self.conv1 = nn.Conv2d(in_channels=in_channels, out_channels=
in_channels // reduction, kernel_si... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch import nn
assert_s... | DocYard-ai/UCR | SEModule | false | 8,007 | [
"Apache-2.0"
] | 10 | 7618aa336f56e71d9fd8cdc2d591e3d138e3dc68 | https://github.com/DocYard-ai/UCR/tree/7618aa336f56e71d9fd8cdc2d591e3d138e3dc68 |
ContrastiveLoss | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import libdevice
assert_size_stride = torch._... | hz512/Smart-Parking-Enforcement-System | ContrastiveLoss | false | 10,175 | [
"MIT"
] | 0 | e990903de545693ad6e2536bf167c69ab672d16a | https://github.com/hz512/Smart-Parking-Enforcement-System/tree/e990903de545693ad6e2536bf167c69ab672d16a |
Net | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | VincentWang001/HairNet | Net | false | 6,125 | [
"MIT"
] | 1 | 396a61dc63f09a6812cf14bd09ae52c9fd76565a | https://github.com/VincentWang001/HairNet/tree/396a61dc63f09a6812cf14bd09ae52c9fd76565a |
StepRankerLogistic3 | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | YilunZhou/wikihow-embedding | StepRankerLogistic3 | false | 18,138 | [
"MIT"
] | 8 | bfbcaf6aca854cd7e0dedfd5ecf77627138e8425 | https://github.com/YilunZhou/wikihow-embedding/tree/bfbcaf6aca854cd7e0dedfd5ecf77627138e8425 |
ConvertPointsFromHomogeneous | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_st... | JudyYe/frankmocap | ConvertPointsFromHomogeneous | false | 9,178 | [
"BSD-3-Clause"
] | 0 | b6e63f344e852ebdbca0095643b5bc0466370891 | https://github.com/JudyYe/frankmocap/tree/b6e63f344e852ebdbca0095643b5bc0466370891 |
ReCodeAlphabet | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_st... | banwang27/models | ReCodeAlphabet | false | 12,145 | [
"MIT"
] | 0 | 59db29e46f76b630b78c864fb607388dd927b93c | https://github.com/banwang27/models/tree/59db29e46f76b630b78c864fb607388dd927b93c |
TensorClampOptionMax | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torc... | bunderhi/torch2trt | TensorClampOptionMax | false | 1,607 | [
"MIT"
] | 0 | fa5e31e742a0f0c9a9ee38909a6fa56bb07ba96d | https://github.com/bunderhi/torch2trt/tree/fa5e31e742a0f0c9a9ee38909a6fa56bb07ba96d |
UnfoldTemporalWindows | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_st... | IW276/IW276SS20P7 | UnfoldTemporalWindows | false | 9,236 | [
"MIT"
] | 0 | ed388c04eb8d5ea1d13b5ed4119e722552794a62 | https://github.com/IW276/IW276SS20P7/tree/ed388c04eb8d5ea1d13b5ed4119e722552794a62 |
multi_pool | import torch
import torch.nn as nn
class multi_pool(nn.Module):
def __init__(self):
super(multi_pool, self).__init__()
self.pool2 = nn.MaxPool2d(2, stride=2)
self.pool4 = nn.MaxPool2d(4, stride=2, padding=1)
self.pool8 = nn.MaxPool2d(8, stride=2, padding=3)
def forward(self, ... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
emp... | siyuhuang/crowdcount-stackedpool | multi_pool | false | 16,478 | [
"MIT"
] | 93 | bbba3d9e91a5a89642b4bd3638ae8e68801ea7bf | https://github.com/siyuhuang/crowdcount-stackedpool/tree/bbba3d9e91a5a89642b4bd3638ae8e68801ea7bf |
L2Norm | import torch
from torch import nn
class L2Norm(nn.Module):
def forward(self, x, eps=1e-06):
norm = x.norm(dim=1, keepdim=True).clamp(min=eps)
return x / norm
def get_inputs():
return [torch.rand([4, 4, 4, 4])]
def get_init_inputs():
return [[], {}]
| import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import libdevice
from torch import nn
assert_... | Steffen-Wolf/vit-pytorch | L2Norm | false | 9,609 | [
"MIT"
] | 0 | 4f590b9bd570091d9070a039ad33301516caa341 | https://github.com/Steffen-Wolf/vit-pytorch/tree/4f590b9bd570091d9070a039ad33301516caa341 |
SourceContextGate | import torch
import torch.nn as nn
import torch.cuda
import torch.distributed
class ContextGate(nn.Module):
"""
Context gate is a decoder module that takes as input the previous word
embedding, the current decoder state and the attention state, and
produces a gate.
The gate can be used to select t... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as ... | ChenRocks/Distill-BERT-Textgen-ONMT | SourceContextGate | false | 17,097 | [
"MIT"
] | 7 | d83dd1a95af7513cbfae4a2768f6effc2f3a589f | https://github.com/ChenRocks/Distill-BERT-Textgen-ONMT/tree/d83dd1a95af7513cbfae4a2768f6effc2f3a589f |
KDE | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import libdevice
from torch import nn
assert_... | Alibaba-MIIL/HeadSharingKD | KDE | false | 7,676 | [
"BSD-2-Clause"
] | 15 | 8e2738bf069c7d12ec933f9b9107f267f7b6603a | https://github.com/Alibaba-MIIL/HeadSharingKD/tree/8e2738bf069c7d12ec933f9b9107f267f7b6603a |
NoNorm | import torch
from torch import nn
import torch.utils.checkpoint
class NoNorm(nn.Module):
def __init__(self, feat_size, eps=None):
super().__init__()
self.bias = nn.Parameter(torch.zeros(feat_size))
self.weight = nn.Parameter(torch.ones(feat_size))
def forward(self, input_tensor):
... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch import nn
import torch.utils.checkpoint
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torc... | jxhe/unify-parameter-efficient-tuning | NoNorm | false | 15,770 | [
"Apache-2.0"
] | 101 | 3222ce2c0079566a28043e22380eb4ab6ad14389 | https://github.com/jxhe/unify-parameter-efficient-tuning/tree/3222ce2c0079566a28043e22380eb4ab6ad14389 |
BboxHead | import torch
from itertools import product as product
import torch.nn as nn
class BboxHead(nn.Module):
def __init__(self, inchannels=512, num_anchors=3):
super(BboxHead, self).__init__()
self.conv1x1 = nn.Conv2d(inchannels, num_anchors * 4, kernel_size=(
1, 1), stride=1, padding=0)
... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from itertools import product as product
import torch.nn as nn
assert_size_strid... | BossunWang/Pytorch_Retinaface | BboxHead | false | 8,987 | [
"MIT"
] | 0 | 01ec6cfbcced1e8cc8802084e4e566ccaf2513a8 | https://github.com/BossunWang/Pytorch_Retinaface/tree/01ec6cfbcced1e8cc8802084e4e566ccaf2513a8 |
GateAddNorm | import torch
from torch import nn
from torchvision import models as models
import torch.onnx
import torch.nn
class GatedLinearUnit(nn.Module):
def __init__(self, input_size, output_size, dropout=0):
super().__init__()
self.dropout = nn.Dropout(dropout)
self.w4 = nn.Linear(input_size, outp... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
from torch import n... | dqawami/openvino_training_extensions | GateAddNorm | false | 15,215 | [
"Apache-2.0"
] | 256 | dddda1dfd651eaae2d59cecda84275b1b03bd0ad | https://github.com/dqawami/openvino_training_extensions/tree/dddda1dfd651eaae2d59cecda84275b1b03bd0ad |
Permute | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch import nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_str... | Alibaba-AAIG/Beyond-ImageNet-Attack | Permute | false | 7,658 | [
"MIT"
] | 23 | c14b4844b64a8035b8fe033a617c0567224a9fa4 | https://github.com/Alibaba-AAIG/Beyond-ImageNet-Attack/tree/c14b4844b64a8035b8fe033a617c0567224a9fa4 |
Normalize | import torch
import torch.nn as nn
class Normalize(nn.Module):
"""
Scale Audio to be between -1 and 1
"""
def __init__(self):
super(Normalize, self).__init__()
def forward(self, audio: 'torch.Tensor'):
if len(audio.shape) != 2:
raise ValueError('Audio should be 2D: [... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
emp... | dariocazzani/vo-id | Normalize | false | 1,783 | [
"MIT"
] | 0 | 41d0f2779e7909cfa15afcb6c8222c48a5855eb8 | https://github.com/dariocazzani/vo-id/tree/41d0f2779e7909cfa15afcb6c8222c48a5855eb8 |
ScaledDotProductAttention | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | DaanG96/breakfastDSNet | ScaledDotProductAttention | false | 8,936 | [
"MIT"
] | 0 | 17a146ef5ad077e935e6f4b773e0a1f605f76a78 | https://github.com/DaanG96/breakfastDSNet/tree/17a146ef5ad077e935e6f4b773e0a1f605f76a78 |
AdaptiveInstanceNorm2d | import torch
import torch.nn as nn
class AdaptiveInstanceNorm2d(nn.Module):
def __init__(self, eps=1e-08):
super(AdaptiveInstanceNorm2d, self).__init__()
self.eps = eps
def IN_noWeight(self, x):
N, C = x.size(0), x.size(1)
mean = x.contiguous().view(N, C, -1).mean(2).contiguo... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_... | LenKerr/Semantic-Colorization-GAN | AdaptiveInstanceNorm2d | false | 5,497 | [
"MIT"
] | 1 | 2ce52406ca6fc92e69692b451b1c9ae66ba3b76f | https://github.com/LenKerr/Semantic-Colorization-GAN/tree/2ce52406ca6fc92e69692b451b1c9ae66ba3b76f |
LinearBlock | import torch
from torch import nn
class LinearBlock(nn.Module):
def __init__(self, in_dim, out_dim, norm='none', activation='relu'):
super(LinearBlock, self).__init__()
use_bias = True
self.fc = nn.Linear(in_dim, out_dim, bias=use_bias)
norm_dim = out_dim
if norm == 'bn':
... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch import nn
assert_s... | Alikfp/research-GANwriting | LinearBlock | false | 7,634 | [
"MIT"
] | 41 | 2190954218a733deac52c929f51bb85bca5d7216 | https://github.com/Alikfp/research-GANwriting/tree/2190954218a733deac52c929f51bb85bca5d7216 |
BCEFocalLoss | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import math as tl_math
import torch.utils.dat... | CityU-AIM-Group/SIGMA | BCEFocalLoss | false | 17,439 | [
"MIT"
] | 5 | 19f89777db8d42f750a9b87756d3326c7efd18f5 | https://github.com/CityU-AIM-Group/SIGMA/tree/19f89777db8d42f750a9b87756d3326c7efd18f5 |
Relation | import torch
import torch.utils.data
import torch.nn as nn
from torch.nn import functional as F
class Relation(nn.Module):
def __init__(self, C, H, out_size):
super(Relation, self).__init__()
self.out_size = out_size
self.M = torch.nn.Parameter(torch.randn(H, H, out_size))
self.W ... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.utils.data
impor... | liangshb/few-shot-text-classification | Relation | false | 10,384 | [
"Apache-2.0"
] | 0 | 3bb2b3e87215ccf0fb6d5b0d436774557ac9ddd0 | https://github.com/liangshb/few-shot-text-classification/tree/3bb2b3e87215ccf0fb6d5b0d436774557ac9ddd0 |
NormedLinear | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | Data-Designer/Feature-Space-Augmentation-for-Long-Tailed-Data | NormedLinear | false | 17,219 | [
"MIT"
] | 9 | ac6bced6269d6ebaa3fc0935603d905a7f11a6fa | https://github.com/Data-Designer/Feature-Space-Augmentation-for-Long-Tailed-Data/tree/ac6bced6269d6ebaa3fc0935603d905a7f11a6fa |
TreeNode_De | from _paritybench_helpers import _mock_config
import torch
import torch.nn as nn
import torch.nn.functional as F
class Linear(nn.Module):
def __init__(self, options, weights=None):
super(Linear, self).__init__()
self.n_in = options['n_in']
self.n_out = options['n_out']
self.layer ... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | KaiQiangSong/joint_parse_summ | TreeNode_De | false | 8,802 | [
"BSD-3-Clause"
] | 29 | 5d4a40d9a681bc8b06c847643d810846f3867216 | https://github.com/KaiQiangSong/joint_parse_summ/tree/5d4a40d9a681bc8b06c847643d810846f3867216 |
WeightNet | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_s... | giahaowjx/mmaction2 | WeightNet | false | 10,336 | [
"Apache-2.0"
] | 0 | 4f95e9b91354acdcae768ce94e01d3821bba0154 | https://github.com/giahaowjx/mmaction2/tree/4f95e9b91354acdcae768ce94e01d3821bba0154 |
Attention | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | HIT-SCIR-xuanxuan/OpenKS | Attention | false | 13,751 | [
"Apache-2.0"
] | 88 | a7f2ce0890822113322aad22e98d6c961e63caef | https://github.com/HIT-SCIR-xuanxuan/OpenKS/tree/a7f2ce0890822113322aad22e98d6c961e63caef |
CriticNet | import torch
import torch.nn as nn
import torch.nn.functional as F
class CriticNet(nn.Module):
def __init__(self, s_dim, a_dim):
super(CriticNet, self).__init__()
self.fcs = nn.Linear(s_dim, 30)
self.fcs.weight.data.normal_(0, 0.1)
self.fca = nn.Linear(a_dim, 30)
self.fca.... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | CuteWans/sheep-vs-dog | CriticNet | false | 8,959 | [
"MIT"
] | 0 | 4d1542eaa22fd618976757704e584d2c62db5b21 | https://github.com/CuteWans/sheep-vs-dog/tree/4d1542eaa22fd618976757704e584d2c62db5b21 |
Conv2dLayer | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as ... | autocomic/deepfillv2 | Conv2dLayer | false | 12,137 | [
"MIT"
] | 0 | 4b0f565accbf20ee90093a4504b1cff0099d9cb9 | https://github.com/autocomic/deepfillv2/tree/4b0f565accbf20ee90093a4504b1cff0099d9cb9 |
GELU | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as nn
import torch.cuda
import torch.distributed
assert_size_st... | SivilTaram/dialogue-utterance-rewriter-pytorch | GELU | false | 2,917 | [
"MIT"
] | 0 | 92c2254958b7a1ee9199836f7f2236575270983f | https://github.com/SivilTaram/dialogue-utterance-rewriter-pytorch/tree/92c2254958b7a1ee9199836f7f2236575270983f |
Str2MSA | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class LayerNorm(nn.Module):
def __init__(self, d_model, eps=1e-05):
super(LayerNorm, self).__init__()
self.a_2 = nn.Parameter(torch.ones(d_model))
self.b_2 = nn.Parameter(torch.zeros(d_model))
self.eps ... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | wukevin/RoseTTAFold | Str2MSA | false | 4,590 | [
"MIT"
] | 0 | e3c15dbf4bc1e4f8726e26c63aca1625188da803 | https://github.com/wukevin/RoseTTAFold/tree/e3c15dbf4bc1e4f8726e26c63aca1625188da803 |
BertSelfAttention | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | Bhaskers-Blu-Org1/translucent-answer-prediction | BertSelfAttention | false | 8,794 | [
"Apache-2.0"
] | 23 | 1214e0356f24e1a4b1ad64f2eb0edac0baf37a79 | https://github.com/Bhaskers-Blu-Org1/translucent-answer-prediction/tree/1214e0356f24e1a4b1ad64f2eb0edac0baf37a79 |
Coder | import torch
import torch.nn.functional
import torch.nn as nn
def conv3x3(in_, out):
return nn.Conv2d(in_, out, 3, padding=1)
class ConvRelu(nn.Module):
def __init__(self, in_, out):
super().__init__()
self.conv = conv3x3(in_, out)
self.activation = nn.ReLU(inplace=True)
def fo... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn.functional
im... | CarlosPena00/pytorchvision | Coder | false | 216 | [
"MIT"
] | 0 | 824b3a5a8940f3ee6b4da5de7a391a88e5aa36a2 | https://github.com/CarlosPena00/pytorchvision/tree/824b3a5a8940f3ee6b4da5de7a391a88e5aa36a2 |
DownSample | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch import nn
import t... | Hadryan/nn | DownSample | false | 9,379 | [
"MIT"
] | 0 | b10e3dea2c7e1f6569bfdf8e1a48f8d48b5a645d | https://github.com/Hadryan/nn/tree/b10e3dea2c7e1f6569bfdf8e1a48f8d48b5a645d |
PMA | import math
import torch
import torch.nn.functional as F
import torch.nn as nn
class MAB(nn.Module):
def __init__(self, dim_X, dim_Y, dim, num_heads=4, ln=False, p=None):
super().__init__()
self.num_heads = num_heads
self.fc_q = nn.Linear(dim_X, dim)
self.fc_k = nn.Linear(dim_Y, d... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | OpenXAIProject/dac | PMA | false | 8,701 | [
"MIT"
] | 17 | 652776e21b56dcb68839363bb077d5c5ea28d81e | https://github.com/OpenXAIProject/dac/tree/652776e21b56dcb68839363bb077d5c5ea28d81e |
SA | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | ZhijieXiao-0624/CNXA | SA | false | 3,016 | [
"MIT"
] | 0 | a63b3561010cf87f696a005f8ea252e7cdaa7ca2 | https://github.com/ZhijieXiao-0624/CNXA/tree/a63b3561010cf87f696a005f8ea252e7cdaa7ca2 |
CQLAgent | import torch
import numpy as np
import torch as th
import torch.nn as nn
import torch.nn.functional as F
from scipy import optimize
class CQLAgent(nn.Module):
def __init__(self, input_shape, n_actions, n_opponent_actions,
hidden_dim=64):
super(CQLAgent, self).__init__()
self.fc1 = nn.Line... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import numpy as np
import tor... | netlab-lcy/CMIX | CQLAgent | false | 7,343 | [
"MIT"
] | 1 | 53e2d8794af2b380295efe06dcb05235089953c1 | https://github.com/netlab-lcy/CMIX/tree/53e2d8794af2b380295efe06dcb05235089953c1 |
L1Loss | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data
class L1Loss(nn.Module):
""" A simple mean absolute error (MAE) implementation.
"""
def __init__(self, reduction='mean', **kwargs):
super().__init__()
self.reduction = reduction
def forward(sel... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import math as tl_math
import torch.nn as nn
... | SanghyukChun/rebias | L1Loss | false | 14,377 | [
"MIT"
] | 129 | 6a4f6abdd68e080a08737d93a3c4b43e0f0ce055 | https://github.com/SanghyukChun/rebias/tree/6a4f6abdd68e080a08737d93a3c4b43e0f0ce055 |
PrimaryCaps | import torch
import torch.nn as nn
class PrimaryCaps(nn.Module):
"""Creates a primary convolutional capsule layer
that outputs a pose matrix and an activation.
Note that for computation convenience, pose matrix
are stored in first part while the activations are
stored in the second part.
Arg... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_s... | esdrascosta/Matrix-Capsules | PrimaryCaps | false | 6,661 | [
"MIT"
] | 1 | ddf35dfa1acfb51a11a3ec27e15fe863a2ff6fa4 | https://github.com/esdrascosta/Matrix-Capsules/tree/ddf35dfa1acfb51a11a3ec27e15fe863a2ff6fa4 |
QuantValue | import torch
import torch.utils.data
import torch
from torch import nn
import torch.nn.parallel
import torch.optim
import torch.utils.data.distributed
class QuantValue_F(torch.autograd.Function):
"""
res = clamp(round(input/pow(2,-m)) * pow(2, -m), -pow(2, N-1), pow(2, N-1) - 1)
"""
@staticmethod
... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import libdevice
import torch.utils.data
impo... | MariusAnje/proxylessnas | QuantValue | false | 804 | [
"Apache-2.0"
] | 0 | e6e37a946e734c731168ce82c244d9878e7fee59 | https://github.com/MariusAnje/proxylessnas/tree/e6e37a946e734c731168ce82c244d9878e7fee59 |
Resv1Block | import torch
import torch.nn as nn
def conv3x3(in_channels, out_channels, stride=1, padding=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_channels, out_channels, 3, stride, padding, bias=True)
class Resv1Block(nn.Module):
"""ResNet v1 block without bn"""
def __init__(self, inplanes, pl... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | CNN-NISER/lffd-pytorch | Resv1Block | false | 13,445 | [
"MIT"
] | 220 | 7d6476ece79cf75c6265c89346ddac48929ce8f6 | https://github.com/CNN-NISER/lffd-pytorch/tree/7d6476ece79cf75c6265c89346ddac48929ce8f6 |
Actor | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | linsats/GRAC2.0 | Actor | false | 3,924 | [
"MIT"
] | 0 | 2fde25103b2316a3435ef0ebdbf471ec4e204fbe | https://github.com/linsats/GRAC2.0/tree/2fde25103b2316a3435ef0ebdbf471ec4e204fbe |
Classifier | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | Brickser/cogdl | Classifier | false | 2,261 | [
"MIT"
] | 0 | 3952dd11075634cc0f3b669996cfc780635ce026 | https://github.com/Brickser/cogdl/tree/3952dd11075634cc0f3b669996cfc780635ce026 |
PPMConcat | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
from torch.cud... | BostonCrayfish/mmsegmentation | PPMConcat | false | 177 | [
"Apache-2.0"
] | 0 | e8b87242b877bfe0c32ea2630c2fd08977d7dd4b | https://github.com/BostonCrayfish/mmsegmentation/tree/e8b87242b877bfe0c32ea2630c2fd08977d7dd4b |
LayerScale | import torch
from torch import nn
class LayerScale(nn.Module):
"""Layer scale from [Touvron et al 2021] (https://arxiv.org/pdf/2103.17239.pdf).
This rescales diagonaly residual outputs close to 0 initially, then learnt.
"""
def __init__(self, channels: 'int', init: 'float'=0):
super().__init_... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch import nn
assert_size_stride = torch._C._dynamo.guards.assert_size_stride
empty_strided_cuda = torch._C._dynamo.guards._empty_str... | DilwoarH/demucs | LayerScale | false | 5,075 | [
"MIT"
] | 1 | 32d21592dfa015468aa117cace52b21e7af79d71 | https://github.com/DilwoarH/demucs/tree/32d21592dfa015468aa117cace52b21e7af79d71 |
VPGELU | import torch
import torch.nn as nn
import torch.nn.functional as F
class VPGELU(nn.Module):
def forward(self, input: 'torch.Tensor') ->torch.Tensor:
return F.gelu(input) * 1.7015043497085571
def get_inputs():
return [torch.rand([4, 4, 4, 4])]
def get_init_inputs():
return [[], {}]
| import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_... | DucNguyen183/nfnet_f5 | VPGELU | false | 13,592 | [
"Apache-2.0"
] | 133 | 567a1126ff6ea09b33ffa5dacfac9c983fd48713 | https://github.com/DucNguyen183/nfnet_f5/tree/567a1126ff6ea09b33ffa5dacfac9c983fd48713 |
Norm | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
from torch import nn
assert_size_stride = torch._C._dynamo.guards.assert_size_s... | HebatallaTarek/Empathy-Mental-Health | Norm | false | 13,763 | [
"BSD-3-Clause"
] | 66 | 16e2a5f93aabd22803bb39805f8e76c8bea0ccf2 | https://github.com/HebatallaTarek/Empathy-Mental-Health/tree/16e2a5f93aabd22803bb39805f8e76c8bea0ccf2 |
SimpleNet | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
import ... | Stas-Medvedev/ML-Case-Studies | SimpleNet | false | 11,906 | [
"MIT"
] | 0 | 88aa33334245cd028cf3adfba4ba3eecaef32708 | https://github.com/Stas-Medvedev/ML-Case-Studies/tree/88aa33334245cd028cf3adfba4ba3eecaef32708 |
DropConnect | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
from torch import device
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
assert_size_stride = torch._C._dynamo.guards.assert_si... | VascoLopes/GEA | DropConnect | false | 18,033 | [
"MIT"
] | 4 | ab80dbb9851dfc215102e5222e8d5f70e855dd15 | https://github.com/VascoLopes/GEA/tree/ab80dbb9851dfc215102e5222e8d5f70e855dd15 |
SourceContextGate | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as ... | ChenRocks/Distill-BERT-Textgen-ONMT | SourceContextGate | false | 17,097 | [
"MIT"
] | 7 | d83dd1a95af7513cbfae4a2768f6effc2f3a589f | https://github.com/ChenRocks/Distill-BERT-Textgen-ONMT/tree/d83dd1a95af7513cbfae4a2768f6effc2f3a589f |
CatConv | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_s... | ColinKohler/ActionDyanmicsNetwork | CatConv | false | 313 | [
"MIT"
] | 0 | 9cb6ffca111bfb1e1efb31cbac9201a98739a6ed | https://github.com/ColinKohler/ActionDyanmicsNetwork/tree/9cb6ffca111bfb1e1efb31cbac9201a98739a6ed |
AttFlowLayer | import torch
import torch.nn as nn
import torch.nn.functional as F
class AttFlowLayer(nn.Module):
def __init__(self, embed_length):
super(AttFlowLayer, self).__init__()
self.embed_length = embed_length
self.alpha = nn.Linear(3 * embed_length, 1, bias=False)
def forward(self, context,... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | qtxcm/Joint_NER_with_NTP | AttFlowLayer | false | 4,173 | [
"Apache-2.0"
] | 0 | 02f26f2cc891d36808b2e28f337cc4846524e5df | https://github.com/qtxcm/Joint_NER_with_NTP/tree/02f26f2cc891d36808b2e28f337cc4846524e5df |
ScalarMix | import torch
import torch.nn as nn
class ScalarMix(nn.Module):
"""
Computes a parameterized scalar mixture of :math:`N` tensors, :math:`mixture = \\gamma * \\sum_{k}(s_k * tensor_k)`
where :math:`s = \\mathrm{softmax}(w)`, with :math:`w` and :math:`\\gamma` scalar parameters.
Args:
n_layers (... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import math as tl_math
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert... | TheSecret3003/crf_parser | ScalarMix | false | 2,900 | [
"MIT"
] | 0 | 34682ca8729d376b5582a3117e650b524fbcb355 | https://github.com/TheSecret3003/crf_parser/tree/34682ca8729d376b5582a3117e650b524fbcb355 |
L2Norm | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as nn
from math import sqrt as sqrt
from itertools import produ... | Coral-SH/TextBoxes_PyTorch | L2Norm | false | 17,136 | [
"MIT"
] | 8 | fb1636139d69e762b567a234c3a4b69e3dd43071 | https://github.com/Coral-SH/TextBoxes_PyTorch/tree/fb1636139d69e762b567a234c3a4b69e3dd43071 |
ComplexReLU | import torch
from torch import nn
import torch.utils
class ComplexReLU(nn.Module):
def __init__(self):
super(ComplexReLU, self).__init__()
self.relu_r = nn.ReLU()
self.relu_i = nn.ReLU()
def forward(self, input_r, input_i):
return self.relu_r(input_r), self.relu_i(input_i)
... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch import nn
import torch.utils
assert_size_stride = torch._C._dynamo.guards.asse... | muqiaoy/dl_signal | ComplexReLU | false | 16,117 | [
"MIT"
] | 54 | 3a30d14982016644bfc96a7d1ca0109b441f17fd | https://github.com/muqiaoy/dl_signal/tree/3a30d14982016644bfc96a7d1ca0109b441f17fd |
Downsample | import torch
import torch.nn as nn
def conv_nd(dims, *args, **kwargs):
"""
Create a 1D, 2D, or 3D convolution module.
"""
if dims == 1:
return nn.Conv1d(*args, **kwargs)
elif dims == 2:
return nn.Conv2d(*args, **kwargs)
elif dims == 3:
return nn.Conv3d(*args, **kwargs)
... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_s... | Khanhnn00/kernel-prior-diffusion | Downsample | false | 731 | [
"MIT"
] | 0 | 6f38d3a645c5f6a2b33b8ab60b6f15a12bf245dd | https://github.com/Khanhnn00/kernel-prior-diffusion/tree/6f38d3a645c5f6a2b33b8ab60b6f15a12bf245dd |
M1 | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | Juggernaut93/SSH-pytorch | M1 | false | 13,986 | [
"MIT"
] | 63 | 8ea205fb1a3adfc32b5a4e35f68ed4d385ddbc31 | https://github.com/Juggernaut93/SSH-pytorch/tree/8ea205fb1a3adfc32b5a4e35f68ed4d385ddbc31 |
OutputLayer | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | abhirajtiwari/QANet | OutputLayer | false | 18,227 | [
"MIT"
] | 4 | 85e1db4edf0710169268a091e7d7959e524f1ceb | https://github.com/abhirajtiwari/QANet/tree/85e1db4edf0710169268a091e7d7959e524f1ceb |
FeatureDiscriminator | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data
class FeatureDiscriminator(nn.Module):
def __init__(self):
super(FeatureDiscriminator, self).__init__()
self.conv1 = nn.Conv2d(in_channels=512, out_channels=256,
kernel_size=1, stride=1)
... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
import torch.utils.data
assert_size_stride = torch._C._dyn... | HotaekHan/Synthetically_Supervised_Text_Recognition | FeatureDiscriminator | false | 17,427 | [
"MIT"
] | 8 | a6bb7d3039b1280c6efe177b69d8b985d2e13285 | https://github.com/HotaekHan/Synthetically_Supervised_Text_Recognition/tree/a6bb7d3039b1280c6efe177b69d8b985d2e13285 |
ModMBStddevLayer | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as nn
assert_size_stride = torch._C._dynamo.guards.assert_size_... | akimotty877/mmediting | ModMBStddevLayer | false | 3,091 | [
"Apache-2.0"
] | 0 | cae872d6f3e867ba144c7c0dbc29a0ee1a29e5a6 | https://github.com/akimotty877/mmediting/tree/cae872d6f3e867ba144c7c0dbc29a0ee1a29e5a6 |
InputConv | import torch
import torch.nn as nn
import torch.nn.functional as F
def _get_padding(kernel_size, stride, dilation):
padding = (stride - 1 + dilation * (kernel_size - 1)) // 2
return padding
class InputConv(nn.Module):
def __init__(self, inp, outp, k=3, stride=1, dilation=1):
super(InputConv, se... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | HabilBhagat/MiniProject---Sem_6 | InputConv | false | 11,471 | [
"Apache-2.0"
] | 0 | bbc329a4844921cc04be58f704057bb70ad9dfe2 | https://github.com/HabilBhagat/MiniProject---Sem_6/tree/bbc329a4844921cc04be58f704057bb70ad9dfe2 |
TransformerFFNLayer | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
from torch import n... | Rexiome/NATSpeech | TransformerFFNLayer | false | 14,307 | [
"MIT"
] | 561 | 238165e8cd430531b69c484cabb032c1313ee73b | https://github.com/Rexiome/NATSpeech/tree/238165e8cd430531b69c484cabb032c1313ee73b |
ChanNorm | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
from torch import nn
assert_size_stride = torch._C._dynamo.guards.assert_size_s... | destefani/lightweight-gan | ChanNorm | false | 15,171 | [
"MIT"
] | 1,187 | 5ba61c21c8c9c8d4574a4a3ddd4759f86debf9bf | https://github.com/destefani/lightweight-gan/tree/5ba61c21c8c9c8d4574a4a3ddd4759f86debf9bf |
GCN | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.parameter import Parameter
from itertools import *
from time import *
class GraphConvolution(nn.Module):
"""
Simple GCN layer, similar to https://arxiv.org/abs/1609.02907
"""
def __init__(self, in_features, o... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import math
import torch.nn a... | Richard-LYF/SESS-GC | GCN | false | 2,831 | [
"MIT"
] | 0 | 2280e5ec8e5c5e20d0bda629b7d05f61bad0bec7 | https://github.com/Richard-LYF/SESS-GC/tree/2280e5ec8e5c5e20d0bda629b7d05f61bad0bec7 |
Lagrange | # AOT ID: ['0_inference']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _al... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.triton_helpers import math as tl_math
import torch.nn as nn
... | goldenBill/Power_Control | Lagrange | false | 10,099 | [
"MIT"
] | 0 | 8218aaffe8d5c69da454f76ecdacce46340cb81c | https://github.com/goldenBill/Power_Control/tree/8218aaffe8d5c69da454f76ecdacce46340cb81c |
BERTEmbedding4 | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
from itertools import chain as chain
import torch.... | EddieMG/LateTemporalModeling3DCNN | BERTEmbedding4 | false | 2,267 | [
"MIT"
] | 0 | 94c87dc1d31d09bc310d0e735a2e55453976cb0d | https://github.com/EddieMG/LateTemporalModeling3DCNN/tree/94c87dc1d31d09bc310d0e735a2e55453976cb0d |
QNetwork | import torch
import torch.nn.functional as F
import torch.nn as nn
class QNetwork(nn.Module):
"""Actor (Policy) Model."""
def __init__(self, state_size, action_size, seed):
"""Initialize parameters and build model.
Params
======
state_size (int): Dimension of each state
... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | bhattsachin/deep-reinforcement-learning | QNetwork | false | 1,549 | [
"MIT"
] | 0 | 4d75b012495009bf156273e170d75caf400fa7aa | https://github.com/bhattsachin/deep-reinforcement-learning/tree/4d75b012495009bf156273e170d75caf400fa7aa |
GatedFusion | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
import torch.utils.data
import torch.multiprocessing
impor... | LucasAPayne/graph4nlp | GatedFusion | false | 9,432 | [
"Apache-2.0"
] | 0 | 3b72308f6ed9ce04c535f78b4b21b6ae0a8f5421 | https://github.com/LucasAPayne/graph4nlp/tree/3b72308f6ed9ce04c535f78b4b21b6ae0a8f5421 |
Mlp | import torch
import torch.nn as nn
import torch._C
import torch.serialization
from torch import optim as optim
class Mlp(nn.Module):
def __init__(self, in_features, hidden_features=None, out_features=None,
act_layer=nn.GELU, drop=0.0):
super().__init__()
out_features = out_features or in_... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as ... | Atten4Vis/DemystifyLocalViT | Mlp | false | 13,354 | [
"MIT"
] | 64 | 2e2327caec6d56ae2c8aa861b32bb62f3cdb786e | https://github.com/Atten4Vis/DemystifyLocalViT/tree/2e2327caec6d56ae2c8aa861b32bb62f3cdb786e |
DropConnect | import torch
class DropConnect(torch.nn.Module):
def __init__(self, p):
super(DropConnect, self).__init__()
self.p = p
def forward(self, inputs):
batch_size = inputs.shape[0]
inputs.shape[2]
inputs.shape[3]
channel_size = inputs.shape[1]
keep_prob = 1 ... | import torch
from torch import device
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
assert_size_stride = torch._C._dynamo.guards.assert_si... | VascoLopes/GEA | DropConnect | false | 18,033 | [
"MIT"
] | 4 | ab80dbb9851dfc215102e5222e8d5f70e855dd15 | https://github.com/VascoLopes/GEA/tree/ab80dbb9851dfc215102e5222e8d5f70e855dd15 |
ResBlock | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
import torch.nn as nn
assert_... | MohitLamba94/LLPackNet | ResBlock | false | 8,561 | [
"MIT"
] | 15 | 440e20ac48aed0beca5f473358ec85d24d477575 | https://github.com/MohitLamba94/LLPackNet/tree/440e20ac48aed0beca5f473358ec85d24d477575 |
GatedConvTranspose | import torch
import torch.nn as nn
import torch.utils.data
class GatedConvTranspose(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, stride=1,
padding=0, output_padding=0, groups=1):
super(GatedConvTranspose, self).__init__()
self.layer_f = nn.ConvTranspose2d(in_chan... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
import torch.utils.data
assert_size_stride = torch._C._dyn... | musyoku/ffjord | GatedConvTranspose | false | 7,304 | [
"MIT"
] | 1 | 9e431e122e59fa9a71f3f301dec8fdd3db51e0ce | https://github.com/musyoku/ffjord/tree/9e431e122e59fa9a71f3f301dec8fdd3db51e0ce |
ExampleBackbone | import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
from torch.cuda.amp import autocast as autocast
import torch._C
import torch.serialization
class ExampleBackbone(nn.Module):
def __init__(self):
super(ExampleBackbone... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
import torch.nn as nn
import torch.nn.parallel
import torch.optim
import torch.u... | BostonCrayfish/mmsegmentation | ExampleBackbone | false | 171 | [
"Apache-2.0"
] | 0 | e8b87242b877bfe0c32ea2630c2fd08977d7dd4b | https://github.com/BostonCrayfish/mmsegmentation/tree/e8b87242b877bfe0c32ea2630c2fd08977d7dd4b |
ResidualAttentionBlock | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime import triton_helpers
from torch._inductor.runtime.... | abhisheklalwani/ActionCLIP | ResidualAttentionBlock | false | 14,760 | [
"MIT"
] | 141 | dd2ab27db4bf3d5be3a51cd011cb49aa8b679de0 | https://github.com/abhisheklalwani/ActionCLIP/tree/dd2ab27db4bf3d5be3a51cd011cb49aa8b679de0 |
Copy | # AOT ID: ['0_forward']
from ctypes import c_void_p, c_long, c_int
import torch
import math
import random
import os
import tempfile
from math import inf, nan
from torch._inductor.hooks import run_intermediate_hooks
from torch._inductor.utils import maybe_profile
from torch._inductor.codegen.memory_planning import _alig... | import torch
from torch._inductor.select_algorithm import extern_kernels
import triton
import triton.language as tl
from torch._inductor.runtime.triton_heuristics import grid
from torch._C import _cuda_getCurrentRawStream as get_raw_stream
from torch._inductor.runtime.triton_helpers import libdevice
import torch.nn as ... | ChrisGeishauser/ConvLab-2 | Copy | false | 2,209 | [
"Apache-2.0"
] | 0 | 8f55d033c6e2453fdc092c4f504be3973a55e7ea | https://github.com/ChrisGeishauser/ConvLab-2/tree/8f55d033c6e2453fdc092c4f504be3973a55e7ea |
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