python_code stringlengths 0 679k | repo_name stringlengths 9 41 | file_path stringlengths 6 149 |
|---|---|---|
#
# Copyright (c) 2019-2022, 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 required by app... | spark-rapids-examples-main | examples/XGBoost-Examples/utility/python/com/nvidia/spark/examples/main.py |
spark-rapids-examples-main | examples/XGBoost-Examples/utility/python/com/nvidia/spark/examples/utility/__init__.py | |
#
# Copyright (c) 2019-2022, 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 required by app... | spark-rapids-examples-main | examples/XGBoost-Examples/utility/python/com/nvidia/spark/examples/utility/utils.py |
#
# Copyright (c) 2019-2022, 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 required by app... | spark-rapids-examples-main | examples/XGBoost-Examples/utility/python/com/nvidia/spark/examples/utility/args.py |
#!/usr/bin/env python
# coding: utf-8
# Copyright (c) 2022, NVIDIA Corporation.
#
# 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 ... | spark-rapids-examples-main | examples/SQL+DF-Examples/customer-churn/notebooks/python/churn/etl.py |
# Copyright (c) 2022, NVIDIA Corporation.
#
# 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 required by applicable law or agreed to... | spark-rapids-examples-main | examples/SQL+DF-Examples/customer-churn/notebooks/python/churn/augment.py |
# Copyright (c) 2022, NVIDIA Corporation.
#
# 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 required by applicable law or agreed to... | spark-rapids-examples-main | examples/SQL+DF-Examples/customer-churn/notebooks/python/churn/eda.py |
# Copyright (c) 2020-2022, NVIDIA CORPORATION.
#
# 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 required by applicable law or agre... | spark-rapids-examples-main | examples/UDF-Examples/RAPIDS-accelerated-UDFs/conftest.py |
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# 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 required by applicable law or agreed to... | spark-rapids-examples-main | examples/UDF-Examples/RAPIDS-accelerated-UDFs/runtests.py |
# Copyright (c) 2020-2022, NVIDIA CORPORATION.
#
# 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 required by applicable law or agre... | spark-rapids-examples-main | examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/python/conftest.py |
# Copyright (c) 2020-2022, NVIDIA CORPORATION.
#
# 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 required by applicable law or agre... | spark-rapids-examples-main | examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/python/spark_session.py |
# Copyright (c) 2020-2022, NVIDIA CORPORATION.
#
# 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 required by applicable law or agre... | spark-rapids-examples-main | examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/python/data_gen.py |
# Copyright (c) 2020-2022, NVIDIA CORPORATION.
#
# 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 required by applicable law or agre... | spark-rapids-examples-main | examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/python/rapids_udf_test.py |
# Copyright (c) 2020-2021, NVIDIA CORPORATION.
#
# 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 required by applicable law or agre... | spark-rapids-examples-main | examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/python/spark_init_internal.py |
# Copyright (c) 2020-2022, NVIDIA CORPORATION.
#
# 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 required by applicable law or agre... | spark-rapids-examples-main | examples/UDF-Examples/RAPIDS-accelerated-UDFs/src/main/python/asserts.py |
#
# Copyright (c) 2022, 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 required by appl... | spark-rapids-examples-main | examples/UDF-Examples/Spark-cuSpatial/spatial_join.py |
# Copyright (c) 2022, 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 required by applic... | spark-rapids-examples-main | examples/UDF-Examples/Spark-cuSpatial/tools/to_parquet.py |
#
# Copyright (c) 2021-2021, 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 required by app... | spark-rapids-examples-main | examples/ML+DL-Examples/Spark-DL/criteo_train/criteo_keras.py |
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions a... | spark-rapids-examples-main | examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/models_config/text_classification/1/model.py |
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions a... | spark-rapids-examples-main | examples/ML+DL-Examples/Spark-DL/dl_inference/tensorflow/models_config/feature_columns/1/model.py |
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions a... | spark-rapids-examples-main | examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/models_config/hf_transformer/1/model.py |
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions a... | spark-rapids-examples-main | examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/models_config/hf_generation/1/model.py |
# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions a... | spark-rapids-examples-main | examples/ML+DL-Examples/Spark-DL/dl_inference/huggingface/models_config/hf_pipeline/1/model.py |
import sys
from pyspark.sql import SparkSession
from pyspark.sql.functions import *
(SparkSession
.builder
.getOrCreate()
.read
.csv(sys.argv[1])
.withColumn('_c1', format_string('%.6f', col('_c1').cast('float')))
.withColumn('_c1', when(col('_c1') == '0.000000', lit('0.0')).otherwise(col('_c1... | spark-rapids-examples-main | scripts/encoding-sample/truncate-model.py |
# Note: Plase modify the data source options for your case.
import sys
from pyspark.sql import SparkSession
(SparkSession
.builder
.getOrCreate()
.read
.option('sep', '\t')
.csv(sys.argv[1])
.repartition(int(sys.argv[3]))
.write
.option('sep', '\t')
.option('nullValue', None)
... | spark-rapids-examples-main | scripts/encoding-sample/repartition.py |
#
# Copyright (c) 2019, 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 required by applicab... | spark-rapids-examples-main | scripts/encoding/python/main.py |
spark-rapids-examples-main | scripts/encoding/python/com/__init__.py | |
spark-rapids-examples-main | scripts/encoding/python/com/nvidia/__init__.py | |
spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/__init__.py | |
spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/__init__.py | |
#
# Copyright (c) 2019, 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 required by applicab... | spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/main.py |
#
# Copyright (c) 2019, 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 required by applicab... | spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/criteo/target_cpu_main.py |
spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/criteo/__init__.py | |
#
# Copyright (c) 2019, 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 required by applicab... | spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/criteo/one_hot_cpu_main.py |
#
# Copyright (c) 2019, 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 required by applicab... | spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/criteo/common.py |
spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/utility/__init__.py | |
#
# Copyright (c) 2019, 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 required by applicab... | spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/utility/utils.py |
#
# Copyright (c) 2019, 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 required by applicab... | spark-rapids-examples-main | scripts/encoding/python/com/nvidia/spark/encoding/utility/args.py |
from options.train_options import TrainOptions
from data.data_loader import CreateDataLoader
from models.models import create_model
import numpy as np
import os
opt = TrainOptions().parse()
opt.nThreads = 1
opt.batchSize = 1
opt.serial_batches = True
opt.no_flip = True
opt.instance_feat = True
opt.continue_train = T... | pix2pixHD-master | encode_features.py |
from options.train_options import TrainOptions
from data.data_loader import CreateDataLoader
from models.models import create_model
import os
import util.util as util
from torch.autograd import Variable
import torch.nn as nn
opt = TrainOptions().parse()
opt.nThreads = 1
opt.batchSize = 1
opt.serial_batches = True
op... | pix2pixHD-master | precompute_feature_maps.py |
import os
import sys
from random import randint
import numpy as np
import tensorrt
try:
from PIL import Image
import pycuda.driver as cuda
import pycuda.gpuarray as gpuarray
import pycuda.autoinit
import argparse
except ImportError as err:
sys.stderr.write("""ERROR: failed to import module ({})... | pix2pixHD-master | run_engine.py |
import os
from collections import OrderedDict
from torch.autograd import Variable
from options.test_options import TestOptions
from data.data_loader import CreateDataLoader
from models.models import create_model
import util.util as util
from util.visualizer import Visualizer
from util import html
import torch
opt = Te... | pix2pixHD-master | test.py |
import time
import os
import numpy as np
import torch
from torch.autograd import Variable
from collections import OrderedDict
from subprocess import call
import fractions
def lcm(a,b): return abs(a * b)/fractions.gcd(a,b) if a and b else 0
from options.train_options import TrainOptions
from data.data_loader import Cre... | pix2pixHD-master | train.py |
from .base_options import BaseOptions
class TestOptions(BaseOptions):
def initialize(self):
BaseOptions.initialize(self)
self.parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
self.parser.add_argument('--results_dir', type=str, default='./results/', ... | pix2pixHD-master | options/test_options.py |
from .base_options import BaseOptions
class TrainOptions(BaseOptions):
def initialize(self):
BaseOptions.initialize(self)
# for displays
self.parser.add_argument('--display_freq', type=int, default=100, help='frequency of showing training results on screen')
self.parser.add_argument... | pix2pixHD-master | options/train_options.py |
pix2pixHD-master | options/__init__.py | |
import argparse
import os
from util import util
import torch
class BaseOptions():
def __init__(self):
self.parser = argparse.ArgumentParser()
self.initialized = False
def initialize(self):
# experiment specifics
self.parser.add_argument('--name', type=str, default='label2ci... | pix2pixHD-master | options/base_options.py |
import random
import torch
from torch.autograd import Variable
class ImagePool():
def __init__(self, pool_size):
self.pool_size = pool_size
if self.pool_size > 0:
self.num_imgs = 0
self.images = []
def query(self, images):
if self.pool_size == 0:
retu... | pix2pixHD-master | util/image_pool.py |
from __future__ import print_function
import torch
import numpy as np
from PIL import Image
import numpy as np
import os
# Converts a Tensor into a Numpy array
# |imtype|: the desired type of the converted numpy array
def tensor2im(image_tensor, imtype=np.uint8, normalize=True):
if isinstance(image_tensor, list):
... | pix2pixHD-master | util/util.py |
import dominate
from dominate.tags import *
import os
class HTML:
def __init__(self, web_dir, title, refresh=0):
self.title = title
self.web_dir = web_dir
self.img_dir = os.path.join(self.web_dir, 'images')
if not os.path.exists(self.web_dir):
os.makedirs(self.web_dir)
... | pix2pixHD-master | util/html.py |
pix2pixHD-master | util/__init__.py | |
import numpy as np
import os
import ntpath
import time
from . import util
from . import html
import scipy.misc
try:
from StringIO import StringIO # Python 2.7
except ImportError:
from io import BytesIO # Python 3.x
class Visualizer():
def __init__(self, opt):
# self.opt = opt
self.... | pix2pixHD-master | util/visualizer.py |
import torch
def create_model(opt):
if opt.model == 'pix2pixHD':
from .pix2pixHD_model import Pix2PixHDModel, InferenceModel
if opt.isTrain:
model = Pix2PixHDModel()
else:
model = InferenceModel()
else:
from .ui_model import UIModel
model = UIModel()
... | pix2pixHD-master | models/models.py |
pix2pixHD-master | models/__init__.py | |
import torch
from torch.autograd import Variable
from collections import OrderedDict
import numpy as np
import os
from PIL import Image
import util.util as util
from .base_model import BaseModel
from . import networks
class UIModel(BaseModel):
def name(self):
return 'UIModel'
def initialize(self, opt)... | pix2pixHD-master | models/ui_model.py |
import os
import torch
import sys
class BaseModel(torch.nn.Module):
def name(self):
return 'BaseModel'
def initialize(self, opt):
self.opt = opt
self.gpu_ids = opt.gpu_ids
self.isTrain = opt.isTrain
self.Tensor = torch.cuda.FloatTensor if self.gpu_ids else torch.Tensor
... | pix2pixHD-master | models/base_model.py |
import torch
import torch.nn as nn
import functools
from torch.autograd import Variable
import numpy as np
###############################################################################
# Functions
###############################################################################
def weights_init(m):
classname = m._... | pix2pixHD-master | models/networks.py |
import numpy as np
import torch
import os
from torch.autograd import Variable
from util.image_pool import ImagePool
from .base_model import BaseModel
from . import networks
class Pix2PixHDModel(BaseModel):
def name(self):
return 'Pix2PixHDModel'
def init_loss_filter(self, use_gan_feat_loss, use_vg... | pix2pixHD-master | models/pix2pixHD_model.py |
import torch.utils.data as data
from PIL import Image
import torchvision.transforms as transforms
import numpy as np
import random
class BaseDataset(data.Dataset):
def __init__(self):
super(BaseDataset, self).__init__()
def name(self):
return 'BaseDataset'
def initialize(self, opt):
... | pix2pixHD-master | data/base_dataset.py |
def CreateDataLoader(opt):
from data.custom_dataset_data_loader import CustomDatasetDataLoader
data_loader = CustomDatasetDataLoader()
print(data_loader.name())
data_loader.initialize(opt)
return data_loader
| pix2pixHD-master | data/data_loader.py |
class BaseDataLoader():
def __init__(self):
pass
def initialize(self, opt):
self.opt = opt
pass
def load_data():
return None
| pix2pixHD-master | data/base_data_loader.py |
pix2pixHD-master | data/__init__.py | |
###############################################################################
# Code from
# https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py
# Modified the original code so that it also loads images from the current
# directory as well as the subdirectories
################################... | pix2pixHD-master | data/image_folder.py |
import os.path
from data.base_dataset import BaseDataset, get_params, get_transform, normalize
from data.image_folder import make_dataset
from PIL import Image
class AlignedDataset(BaseDataset):
def initialize(self, opt):
self.opt = opt
self.root = opt.dataroot
### input A (label maps)... | pix2pixHD-master | data/aligned_dataset.py |
import torch.utils.data
from data.base_data_loader import BaseDataLoader
def CreateDataset(opt):
dataset = None
from data.aligned_dataset import AlignedDataset
dataset = AlignedDataset()
print("dataset [%s] was created" % (dataset.name()))
dataset.initialize(opt)
return dataset
class CustomD... | pix2pixHD-master | data/custom_dataset_data_loader.py |
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import sys
import os
sys.path.append(os.path.join(os.path.dirname(__file__), 'util'))
| otk-pyoptix-master | test/conftest.py |
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import optix
import cupy as cp
import array
import pytest
import sample_ptx
import tutil
if tutil.optix_version_gte( (7,2) ):
class TestModuleCom... | otk-pyoptix-master | test/test_module.py |
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import optix as ox
import cupy as cp
import array
import pytest
import sample_ptx
import tutil
if tutil.optix_version_gte( (7,4) ):
class TestProg... | otk-pyoptix-master | test/test_program_group.py |
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
hello_ptx = '''
//
// Generated by NVIDIA NVVM Compiler
//
// Compiler Build ID: CL-29373293
// Cuda compilation tools, release 11.2, V11.2.67
// Based on ... | otk-pyoptix-master | test/sample_ptx.py |
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import cupy as cp
import optix as ox
import pytest
import tutil
class Logger:
def __init__(self):
self.num_mssgs = 0
def __call__(... | otk-pyoptix-master | test/test_context.py |
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import optix
import pytest
import cupy as cp
import tutil
class TestPipeline:
def test_pipeline_options( self ):
pipeline_options = o... | otk-pyoptix-master | test/test_pipeline.py |
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import optix
import cupy as cp
ptx_string_old = '''
//
// Generated by NVIDIA NVVM Compiler
//
// Compiler Build ID: CL-29069683
// Cuda compilation tool... | otk-pyoptix-master | test/util/tutil.py |
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import os
import re
import sys
import platform
import subprocess
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext... | otk-pyoptix-master | optix/setup.py |
#!/usr/bin/env python3
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import optix
import os
import cupy as cp # CUDA bindings
import numpy as np # Packing of structures in C-compatible format
... | otk-pyoptix-master | examples/hello.py |
#!/usr/bin/env python3
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import optix
import Imath
import OpenEXR
import cupy as cp
import cupy.cuda.runtime as cuda
import numpy as np
import ctypes
... | otk-pyoptix-master | examples/denoiser.py |
#!/usr/bin/env python3
#
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice,... | otk-pyoptix-master | examples/simpleMotionBlur.py |
#!/usr/bin/env python3
# Copyright (c) 2022 NVIDIA CORPORATION All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import optix
import os
import cupy as cp # CUDA bindings
import numpy as np # Packing of structures in C-compatible format
... | otk-pyoptix-master | examples/triangle.py |
#!/usr/bin/env python3
#
# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice,... | otk-pyoptix-master | examples/curves.py |
#!/usr/bin/env python3
#
# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice,... | otk-pyoptix-master | examples/sphere.py |
# Use this file to bootstrap packman into your Python environment (3.7.x). Simply
# add the path by doing sys.insert to where packmanconf.py is located and then execute:
#
# >>> import packmanconf
# >>> packmanconf.init()
#
# It will use the configured remote(s) and the version of packman in the same folder,
# giving y... | cccl-main | cub/docs/tools/packman/packmanconf.py |
# Copyright 2019 NVIDIA CORPORATION
# 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 required by applicable law or agreed to in writi... | cccl-main | cub/docs/tools/packman/bootstrap/install_package.py |
import os
import sys
import io
import contextlib
import packmanapi
REPO_ROOT = os.path.join(os.path.dirname(os.path.realpath(__file__)), "../..")
REPO_DEPS_FILE = os.path.join(REPO_ROOT, "deps/repo-deps.packman.xml")
def bootstrap():
"""
Bootstrap all omni.repo modules.
Pull with packman from repo.packm... | cccl-main | cub/docs/tools/repoman/repoman.py |
#!/usr/bin/env python
import hpccm
hpccm.config.set_container_format('docker')
Stage0 += hpccm.primitives.baseimage(image='nvidia/cuda:12.2.0-devel-ubuntu22.04')
Stage0 += hpccm.building_blocks.apt_get(ospackages=['git', 'tmux', 'gcc', 'g++', 'vim', 'python3', 'python-is-python3', 'ninja-build'])
# Stage0 += hpccm.b... | cccl-main | cub/benchmarks/docker/recipe.py |
#!/usr/bin/env python3
import cub.bench as bench
# TODO:
# - driver version
# - host compiler + version
# - gpu clocks / pm
# - ecc
def main():
center_estimator = bench.MedianCenterEstimator()
bench.search(bench.BruteForceSeeker(center_estimator, center_estimator))
if __name__ == "__main__":
main()
| cccl-main | cub/benchmarks/scripts/search.py |
#!/usr/bin/env python3
import sys
import argparse
import cub.bench
def parse_arguments():
parser = argparse.ArgumentParser(description='Verify tuning variant')
parser.add_argument('--variant', type=str, help='Variant to verify', default=None, required=True)
variant = parser.parse_known_args()[0].varian... | cccl-main | cub/benchmarks/scripts/verify.py |
#!/usr/bin/env python3
import os
import re
import cub
import math
import argparse
import itertools
import functools
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.stats import mannwhitneyu
from scipy.stats.mstats import hdquantiles
pd.options.display.max_colwidth = 100
default_colo... | cccl-main | cub/benchmarks/scripts/analyze.py |
from . import bench
| cccl-main | cub/benchmarks/scripts/cub/__init__.py |
class Build:
def __init__(self, code, elapsed):
self.code = code
self.elapsed = elapsed
def __repr__(self):
return "Build(code = {}, elapsed = {:.4f}s)".format(self.code, self.elapsed)
| cccl-main | cub/benchmarks/scripts/cub/bench/build.py |
import os
import sys
import random
import itertools
def randomized_cartesian_product(list_of_lists):
length = 1
for l in list_of_lists:
length *= len(l)
visited = set()
while len(visited) < length:
variant = tuple(map(random.choice, list_of_lists))
if variant not in visited:
... | cccl-main | cub/benchmarks/scripts/cub/bench/config.py |
import os
import time
import signal
import subprocess
from .build import Build
from .config import Config
from .storage import Storage
from .logger import *
def create_builds_table(conn):
with conn:
conn.execute("""
CREATE TABLE IF NOT EXISTS builds (
ctk TEXT NOT NULL,
cu... | cccl-main | cub/benchmarks/scripts/cub/bench/cmake.py |
from .config import *
from .storage import *
from .bench import Bench
from .cmake import CMake
from .score import *
from .search import *
| cccl-main | cub/benchmarks/scripts/cub/bench/__init__.py |
import logging
class Logger:
_instance = None
def __new__(cls, *args, **kwargs):
if cls._instance is None:
cls._instance = super().__new__(cls, *args, **kwargs)
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
file_handler = logging.FileHandle... | cccl-main | cub/benchmarks/scripts/cub/bench/logger.py |
import os
import json
import time
import fpzip
import signal
import itertools
import subprocess
import numpy as np
from .cmake import CMake
from .config import *
from .storage import Storage, get_bench_table_name
from .score import *
from .logger import *
def first_val(my_dict):
values = list(my_dict.values())
... | cccl-main | cub/benchmarks/scripts/cub/bench/bench.py |
import os
import fpzip
import sqlite3
import numpy as np
import pandas as pd
db_name = "cub_bench_meta.db"
def get_bench_table_name(subbench, algname):
return "{}.{}".format(algname, subbench)
def blob_to_samples(blob):
return np.squeeze(fpzip.decompress(blob))
class StorageBase:
def __init__(self, ... | cccl-main | cub/benchmarks/scripts/cub/bench/storage.py |
import re
import argparse
import numpy as np
from .bench import Bench, BaseBench
from .config import Config
from .storage import Storage
from .cmake import CMake
def list_benches():
print("### Benchmarks")
config = Config()
for algname in config.benchmarks:
space_size = config.variant_space_siz... | cccl-main | cub/benchmarks/scripts/cub/bench/search.py |
import math
import numpy as np
def importance_function(x):
return 1 - math.exp(-x)
def x_by_importance(y):
return -math.log(1 - y)
def compute_weights(num_values):
least_importance = 0.6
most_importance = 0.999
assert(least_importance < most_importance)
assert(least_importance >= 0 and le... | cccl-main | cub/benchmarks/scripts/cub/bench/score.py |
#!/usr/bin/env python
# Generate set of projects mk files.
# Usage: python generate_mk.py PROJECTS_MK_DIR THRUST_SOURCE_DIR
# The program scans through unit tests and examples in THRUST_SOURCE_DIR
# and generates project mk for each of the tests and examples in PROJECTS_MK_DIR
# A single example or unit test so... | cccl-main | thrust/generate_mk.py |
#! /usr/bin/env python
# Copyright (c) 2022 NVIDIA Corporation
# Reply-To: Allison Vacanti <alliepiper16@gmail.com>
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Released under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
help_text = """%(prog... | cccl-main | thrust/ci/common/memmon.py |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright (c) 2012-7 Bryce Adelstein Lelbach aka wash <brycelelbach@gmail.com>
#
# Distributed under the Boost Software License, Version 1.0. (See accompanying
# file LICENSE_1_0.txt or copy... | cccl-main | thrust/internal/benchmark/combine_benchmark_results.py |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright (c) 2012-7 Bryce Adelstein Lelbach aka wash <brycelelbach@gmail.com>
#
# Distributed under the Boost Software License, Version 1.0. (See accompanying
# file LICENSE_1_0.txt or copy... | cccl-main | thrust/internal/benchmark/compare_benchmark_results.py |
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