Quantize the input float model with post training static quantization. Converting torch Tensor to numpy Array; Converting numpy Array to torch Tensor; CUDA Tensors; Autograd. Default observer for static quantization, usually used for debugging. to configure quantization settings for individual ops. PyTorch1.1 1.2 PyTorch2.1 Numpy2.2 Variable2.3 Torch3.1 (1) (2) (3) 3.2 (1) (2) (3) 3.3 3.4 (1) (2) model.train()model.eval()Batch Normalization DropoutPyTorchmodeltrain/evaleval()BND PyTorchtorch.optim.lr_schedulerPyTorch, Autograd mechanics Mapping from model ops to torch.ao.quantization.QConfig s. Return the default QConfigMapping for post training quantization. the custom operator mechanism. I have also tried using the Project Interpreter to download the Pytorch package. Web#optimizer = optim.AdamW (optimizer_grouped_parameters, lr=1e-5) ##torch.optim.AdamW (not working) step = 0 best_acc = 0 epoch = 10 writer = SummaryWriter(log_dir='model_best') for epoch in tqdm(range(epoch)): for idx, batch in tqdm(enumerate(train_loader), total=len(train_texts) // batch_size, leave=False): but when I follow the official verification I ge Autograd: autogradPyTorch, tensor. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. What Do I Do If the Error Message "host not found." Applies a 1D max pooling over a quantized input signal composed of several quantized input planes. A ConvBn2d module is a module fused from Conv2d and BatchNorm2d, attached with FakeQuantize modules for weight, used in quantization aware training. here. nvcc fatal : Unsupported gpu architecture 'compute_86' python 16390 Questions Extending torch.func with autograd.Function, torch.Tensor (quantization related methods), Quantized dtypes and quantization schemes. python-2.7 154 Questions A limit involving the quotient of two sums. html 200 Questions matplotlib 556 Questions Learn how our community solves real, everyday machine learning problems with PyTorch. Please, use torch.ao.nn.quantized instead. FAILED: multi_tensor_l2norm_kernel.cuda.o Continue with Recommended Cookies, MicroPython How to Blink an LED and More. Both have downloaded and installed properly, and I can find them in my Users/Anaconda3/pkgs folder, which I have added to the Python path. they result in one red line on the pip installation and the no-module-found error message in python interactive. Sign in Return the default QConfigMapping for quantization aware training. time : 2023-03-02_17:15:31 I have installed Microsoft Visual Studio. Have a question about this project? This is a sequential container which calls the BatchNorm 2d and ReLU modules. File "", line 1050, in _gcd_import File "", line 1027, in _find_and_load Applies 2D average-pooling operation in kHkWkH \times kWkHkW regions by step size sHsWsH \times sWsHsW steps. ninja: build stopped: subcommand failed. Have a question about this project? quantization aware training. This module implements the versions of those fused operations needed for selenium 372 Questions You are using a very old PyTorch version. machine-learning 200 Questions A quantized Embedding module with quantized packed weights as inputs. VS code does not even suggest the optimzier but the documentation clearly mention the optimizer. Note: I had the same problem right after installing pytorch from the console, without closing it and restarting it. This is a sequential container which calls the Conv 3d, Batch Norm 3d, and ReLU modules. Tensors5. Try to install PyTorch using pip: First create a Conda environment using: conda create -n env_pytorch python=3.6 Dynamic qconfig with weights quantized with a floating point zero_point. Down/up samples the input to either the given size or the given scale_factor. mapped linearly to the quantized data and vice versa So if you like to use the latest PyTorch, I think install from source is the only way. Applies a 2D adaptive average pooling over a quantized input signal composed of several quantized input planes. Example usage::. Given a quantized Tensor, dequantize it and return the dequantized float Tensor. Returns the state dict corresponding to the observer stats. Calculating probabilities from d6 dice pool (Degenesis rules for botches and triggers). . File "/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/op_builder/builder.py", line 118, in import_op This is the quantized version of hardtanh(). Sign up for a free GitHub account to open an issue and contact its maintainers and the community. [4/7] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=fused_optim -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -I/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/kernels/include -I/usr/local/cuda/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/TH -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /workspace/nas-data/miniconda3/envs/gpt/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -O3 --use_fast_math -lineinfo -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -std=c++14 -c /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/multi_tensor_adam.cu -o multi_tensor_adam.cuda.o Enable fake quantization for this module, if applicable. I have installed Python. How to prove that the supernatural or paranormal doesn't exist? error_file:
You signed in with another tab or window. traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html. To obtain better user experience, upgrade the browser to the latest version. This is the quantized equivalent of Sigmoid. This module implements the quantizable versions of some of the nn layers. Asking for help, clarification, or responding to other answers. Applies a 1D convolution over a quantized input signal composed of several quantized input planes. File "/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/subprocess.py", line 526, in run What Do I Do If the Error Message "RuntimeError: malloc:/./pytorch/c10/npu/NPUCachingAllocator.cpp:293 NPU error, error code is 500000." If you are using Anaconda Prompt , there is a simpler way to solve this. conda install -c pytorch pytorch This describes the quantization related functions of the torch namespace. Join the PyTorch developer community to contribute, learn, and get your questions answered. platform. previous kernel: registered at ../aten/src/ATen/functorch/BatchRulesScatterOps.cpp:1053 To learn more, see our tips on writing great answers. Disable observation for this module, if applicable. , anacondatensorflowpytorchgym, Pytorch RuntimeErrorCUDA , spacy pyproject.toml , env env.render(), WARNING:tensorflow:Model (4, 112, 112, 3) ((None, 112), RuntimeErrormat1 mat2 25340 3601, stable_baselines module error -> gym.logger has no attribute MIN_LEVEL, PTpytorchpython, CNN CNN . By clicking or navigating, you agree to allow our usage of cookies. Applies a 2D transposed convolution operator over an input image composed of several input planes. Applies a 3D adaptive average pooling over a quantized input signal composed of several quantized input planes. But the input and output tensors are not named usually, hence you need to provide Thus, I installed Pytorch for 3.6 again and the problem is solved. (ModuleNotFoundError: No module named 'torch'), AttributeError: module 'torch' has no attribute '__version__', Conda - ModuleNotFoundError: No module named 'torch'. Already on GitHub? Config object that specifies quantization behavior for a given operator pattern. Quantized Tensors support a limited subset of data manipulation methods of the It worked for numpy (sanity check, I suppose) but told me to go to Pytorch.org when I tried to install the "pytorch" or "torch" packages. Here you will learn the best coding tutorials on the latest technologies like a flutter, react js, python, Julia, and many more in a single place. It worked for numpy (sanity check, I suppose) but told me nadam = torch.optim.NAdam(model.parameters()) This gives the same error. I have not installed the CUDA toolkit. QAT Dynamic Modules. A place where magic is studied and practiced? Is a collection of years plural or singular? This is the quantized version of hardswish(). This package is in the process of being deprecated. When the import torch command is executed, the torch folder is searched in the current directory by default. Tensors. This is the quantized version of GroupNorm. Would appreciate an explanation like I'm 5 simply because I have checked all relevant answers and none have helped. This module contains observers which are used to collect statistics about The same message shows no matter if I try downloading the CUDA version or not, or if I choose to use the 3.5 or 3.6 Python link (I have Python 3.7). please see www.lfprojects.org/policies/. and is kept here for compatibility while the migration process is ongoing. Disable fake quantization for this module, if applicable. The torch package installed in the system directory instead of the torch package in the current directory is called. Is Displayed During Model Commissioning? regular full-precision tensor. If I want to use torch.optim.lr_scheduler, how to set up the corresponding version of PyTorch? This module implements the quantized versions of the functional layers such as The above exception was the direct cause of the following exception: Root Cause (first observed failure): Is it possible to create a concave light? What is the correct way to screw wall and ceiling drywalls? You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. appropriate file under the torch/ao/nn/quantized/dynamic, Currently the latest version is 0.12 which you use. This is the quantized version of BatchNorm2d. pandas 2909 Questions As the current maintainers of this site, Facebooks Cookies Policy applies. This is the quantized equivalent of LeakyReLU. Is Displayed When the Weight Is Loaded? in a backend. scale sss and zero point zzz are then computed 1.2 PyTorch with NumPy. Example usage::. Fused version of default_weight_fake_quant, with improved performance. No relevant resource is found in the selected language. The text was updated successfully, but these errors were encountered: You signed in with another tab or window. ~`torch.nn.Conv2d` and torch.nn.ReLU. opencv 219 Questions Indeed, I too downloaded Python 3.6 after some awkward mess-ups in retrospect what could have happened is that I download pytorch on an old version of Python and then reinstalled a newer version. PyTorch is not a simple replacement for NumPy, but it does a lot of NumPy functionality. Prepares a copy of the model for quantization calibration or quantization-aware training. return _bootstrap._gcd_import(name[level:], package, level) Is Displayed During Model Commissioning. Applies a 2D convolution over a quantized input signal composed of several quantized input planes. Variable; Gradients; nn package. operators. Learn about PyTorchs features and capabilities. No module named 'torch'. By restarting the console and re-ente In the preceding figure, the error path is /code/pytorch/torch/init.py. Wrap the leaf child module in QuantWrapper if it has a valid qconfig Note that this function will modify the children of module inplace and it can return a new module which wraps the input module as well. [3/7] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=fused_optim -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -I/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/kernels/include -I/usr/local/cuda/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/TH -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /workspace/nas-data/miniconda3/envs/gpt/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -O3 --use_fast_math -lineinfo -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -std=c++14 -c /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/multi_tensor_l2norm_kernel.cu -o multi_tensor_l2norm_kernel.cuda.o What Do I Do If the Error Message "ImportError: libhccl.so." How to react to a students panic attack in an oral exam? I successfully installed pytorch via conda: I also successfully installed pytorch via pip: But, it only works in a jupyter notebook. Converts a float tensor to a quantized tensor with given scale and zero point. Instantly find the answers to all your questions about Huawei products and Usually if the torch/tensorflow has been successfully installed, you still cannot import those libraries, the reason is that the python environment This is a sequential container which calls the Conv 1d and Batch Norm 1d modules. module = self._system_import(name, *args, **kwargs) File "C:\Users\Michael\PycharmProjects\Pytorch_2\venv\lib\site-packages\torch__init__.py", module = self._system_import(name, *args, **kwargs) ModuleNotFoundError: No module named 'torch._C'. Huawei shall not bear any responsibility for translation accuracy and it is recommended that you refer to the English document (a link for which has been provided). A Conv3d module attached with FakeQuantize modules for weight, used for quantization aware training. By continuing to browse the site you are agreeing to our use of cookies. A LinearReLU module fused from Linear and ReLU modules that can be used for dynamic quantization. What Do I Do If an Error Is Reported During CUDA Stream Synchronization? Where does this (supposedly) Gibson quote come from? The module records the running histogram of tensor values along with min/max values. loops 173 Questions list 691 Questions Fused version of default_per_channel_weight_fake_quant, with improved performance. Default qconfig configuration for debugging. Your browser version is too early. Autograd: VariableVariable TensorFunction 0.3 Welcome to SO, please create a seperate conda environment activate this environment conda activate myenv and than install pytorch in it. Besides win10Pytorch 201941625Anaconda20195PytorchCondaHTTPError: HTTP 404 NOT FOUND for url >>import torch as tModule. A BNReLU2d module is a fused module of BatchNorm2d and ReLU, A BNReLU3d module is a fused module of BatchNorm3d and ReLU, A ConvReLU1d module is a fused module of Conv1d and ReLU, A ConvReLU2d module is a fused module of Conv2d and ReLU, A ConvReLU3d module is a fused module of Conv3d and ReLU, A LinearReLU module fused from Linear and ReLU modules. When import torch.optim.lr_scheduler in PyCharm, it shows that AttributeError: module torch.optim has no attribute lr_scheduler. This is a sequential container which calls the Conv 2d, Batch Norm 2d, and ReLU modules. WebTo use torch.optim you have to construct an optimizer object, that will hold the current state and will update the parameters based on the computed gradients. Custom configuration for prepare_fx() and prepare_qat_fx(). What Do I Do If aicpu_kernels/libpt_kernels.so Does Not Exist? Default fake_quant for per-channel weights. FAILED: multi_tensor_adam.cuda.o can i just add this line to my init.py ? WebShape) print (" type: ", type (Torch.Tensor (numpy_tensor)), "and size:", torch.Tensor (numpy_tensor).shape) Copy the code. Default per-channel weight observer, usually used on backends where per-channel weight quantization is supported, such as fbgemm. Well occasionally send you account related emails. No BatchNorm variants as its usually folded into convolution is kept here for compatibility while the migration process is ongoing. Try to install PyTorch using pip: First create a Conda environment using: conda create -n env_pytorch python=3.6 Activate the environment using: conda activate Inplace / Out-of-place; Zero Indexing; No camel casing; Numpy Bridge. web-scraping 300 Questions. Whenever I try to execute a script from the console, I get the error message: Note: This will install both torch and torchvision. LSTMCell, GRUCell, and This module contains QConfigMapping for configuring FX graph mode quantization. Not the answer you're looking for? If you are adding a new entry/functionality, please, add it to the appropriate files under torch/ao/quantization/fx/, while adding an import statement here. If this is not a problem execute this program on both Jupiter and command line a I installed on my macos by the official command : conda install pytorch torchvision -c pytorch Read our privacy policy>. Connect and share knowledge within a single location that is structured and easy to search. dictionary 437 Questions What Do I Do If the Error Message "Op type SigmoidCrossEntropyWithLogitsV2 of ops kernel AIcoreEngine is unsupported" Is Displayed? A ConvBn3d module is a module fused from Conv3d and BatchNorm3d, attached with FakeQuantize modules for weight, used in quantization aware training. This module contains FX graph mode quantization APIs (prototype). python-3.x 1613 Questions The torch package installed in the system directory instead of the torch package in the current directory is called. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. So why torch.optim.lr_scheduler can t import? WebpytorchModuleNotFoundError: No module named 'torch' pythonpytorchipython, jupyter notebookpytorch,>>>import torch as tModule anaconda pytorch jupyter python SpaceVision 2022-03-02 11:56:59 718 PyTorchNo Leave your details and we'll be in touch. Copies the elements from src into self tensor and returns self. Given a Tensor quantized by linear (affine) per-channel quantization, returns the index of dimension on which per-channel quantization is applied. Fused module that is used to observe the input tensor (compute min/max), compute scale/zero_point and fake_quantize the tensor. Crop1.transforms.RandomCrop2.transforms.CenterCrop3. transforms.RandomResizedCrop4.tr libtorchpytorch resnet50dimage = image.resize((224, 224),Image.ANT. Applies a 1D transposed convolution operator over an input image composed of several input planes. Have a question about this project? PyTorch, Tensorflow. Returns a new view of the self tensor with singleton dimensions expanded to a larger size. What Do I Do If the Error Message "MemCopySync:drvMemcpy failed." Prepare a model for post training static quantization, Prepare a model for quantization aware training, Convert a calibrated or trained model to a quantized model. which run in FP32 but with rounding applied to simulate the effect of INT8 WebThe following are 30 code examples of torch.optim.Optimizer(). Default qconfig for quantizing weights only. Switch to python3 on the notebook A ConvBnReLU2d module is a module fused from Conv2d, BatchNorm2d and ReLU, attached with FakeQuantize modules for weight, used in quantization aware training. There should be some fundamental reason why this wouldn't work even when it's already been installed! This is a sequential container which calls the Conv 3d and Batch Norm 3d modules. keras 209 Questions Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? dispatch key: Meta This is the quantized version of InstanceNorm2d. Looking to make a purchase? I have installed Anaconda. bias. My pytorch version is '1.9.1+cu102', python version is 3.7.11. Well occasionally send you account related emails. Do quantization aware training and output a quantized model. When trying to use the console in PyCharm, pip3 install codes (thinking maybe I need to save the packages into my current project, rather than in the Anaconda folder) return me an error message saying. What Do I Do If the Error Message "HelpACLExecute." Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, pytorch: ModuleNotFoundError exception on windows 10, AssertionError: Torch not compiled with CUDA enabled, torch-1.1.0-cp37-cp37m-win_amd64.whl is not a supported wheel on this platform, How can I fix this pytorch error on Windows? Powered by Discourse, best viewed with JavaScript enabled. like conv + relu. Resizes self tensor to the specified size. A quantizable long short-term memory (LSTM). QminQ_\text{min}Qmin and QmaxQ_\text{max}Qmax are respectively the minimum and maximum values of the quantized dtype. Quantize stub module, before calibration, this is same as an observer, it will be swapped as nnq.Quantize in convert. Example usage::. Swaps the module if it has a quantized counterpart and it has an observer attached. Fused version of default_qat_config, has performance benefits. This module contains BackendConfig, a config object that defines how quantization is supported This is a sequential container which calls the Conv 2d and Batch Norm 2d modules. But in the Pytorch s documents, there is torch.optim.lr_scheduler. This module defines QConfig objects which are used Is there a single-word adjective for "having exceptionally strong moral principles"? /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=fused_optim -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -I/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/kernels/include -I/usr/local/cuda/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/TH -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /workspace/nas-data/miniconda3/envs/gpt/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -O3 --use_fast_math -lineinfo -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -std=c++14 -c /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/multi_tensor_sgd_kernel.cu -o multi_tensor_sgd_kernel.cuda.o I get the following error saying that torch doesn't have AdamW optimizer. Next Applies a 2D convolution over a quantized 2D input composed of several input planes. Default histogram observer, usually used for PTQ. Prepares a copy of the model for quantization calibration or quantization-aware training and converts it to quantized version. Hi, which version of PyTorch do you use? the values observed during calibration (PTQ) or training (QAT). The PyTorch Foundation supports the PyTorch open source RNNCell. A quantized EmbeddingBag module with quantized packed weights as inputs. [1/7] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=fused_optim -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -I/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/kernels/include -I/usr/local/cuda/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/TH -isystem /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /workspace/nas-data/miniconda3/envs/gpt/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -O3 --use_fast_math -lineinfo -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -std=c++14 -c /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/multi_tensor_sgd_kernel.cu -o multi_tensor_sgd_kernel.cuda.o
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