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Download NvidiaWarp-GarmentCode/warp/config.py from qbhf2/GarmentCode: direct link, hf CLI and curl.
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https://huggingface.co/spaces/qbhf2/GarmentCode/resolve/main/NvidiaWarp-GarmentCode/warp/config.py
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1.71 kB
| # Copyright (c) 2022 NVIDIA CORPORATION. All rights reserved. | |
| # NVIDIA CORPORATION and its licensors retain all intellectual property | |
| # and proprietary rights in and to this software, related documentation | |
| # and any modifications thereto. Any use, reproduction, disclosure or | |
| # distribution of this software and related documentation without an express | |
| # license agreement from NVIDIA CORPORATION is strictly prohibited. | |
| version = "1.0.0-beta.6" | |
| cuda_path = ( | |
| None # path to local CUDA toolchain, if None at init time warp will attempt to find the SDK using CUDA_PATH env var | |
| ) | |
| verify_fp = False # verify inputs and outputs are finite after each launch | |
| verify_cuda = False # if true will check CUDA errors after each kernel launch / memory operation | |
| print_launches = False # if true will print out launch information | |
| mode = "release" | |
| verbose = False # print extra informative messages | |
| quiet = False # suppress all output except errors and warnings | |
| host_compiler = None # user can specify host compiler here, otherwise will attempt to find one automatically | |
| cache_kernels = True | |
| kernel_cache_dir = None # path to kernel cache directory, if None a default path will be used | |
| cuda_output = ( | |
| None # preferred CUDA output format for kernels ("ptx" or "cubin"), determined automatically if unspecified | |
| ) | |
| ptx_target_arch = 70 # target architecture for PTX generation, defaults to the lowest architecture that supports all of Warp's features | |
| enable_backward = True # whether to compiler the backward passes of the kernels | |
| llvm_cuda = False # use Clang/LLVM instead of NVRTC to compile CUDA | |
| graph_capture_module_load_default = True # Default value of force_module_load for capture_begin() | |