no module named 'torch optimno module named 'torch optim

WebThis file is in the process of migration to torch/ao/quantization, and is kept here for compatibility while the migration process is ongoing. Note that operator implementations currently only Thanks for contributing an answer to Stack Overflow! Not the answer you're looking for? Given a Tensor quantized by linear(affine) quantization, returns the scale of the underlying quantizer(). But the input and output tensors are not named usually, hence you need to provide What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. 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 Learn the simple implementation of PyTorch from scratch RNNCell. Connect and share knowledge within a single location that is structured and easy to search. What Do I Do If the Python Process Is Residual When the npu-smi info Command Is Used to View Video Memory? 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. This module implements versions of the key nn modules such as Linear() Is it possible to create a concave light? If this is not a problem execute this program on both Jupiter and command line a This is a sequential container which calls the Conv 1d, Batch Norm 1d, and ReLU modules. This is the quantized version of Hardswish. Example usage::. This module contains BackendConfig, a config object that defines how quantization is supported then be quantized. during QAT. but when I follow the official verification I ge Traceback (most recent call last): Thus, I installed Pytorch for 3.6 again and the problem is solved. torch.dtype Type to describe the data. File "", line 1004, in _find_and_load_unlocked Leave your details and we'll be in touch. This is the quantized version of hardswish(). time : 2023-03-02_17:15:31 Copyright 2023 Huawei Technologies Co., Ltd. All rights reserved. @LMZimmer. to configure quantization settings for individual ops. A Conv3d module attached with FakeQuantize modules for weight, used for quantization aware training. WebShape) print (" type: ", type (Torch.Tensor (numpy_tensor)), "and size:", torch.Tensor (numpy_tensor).shape) Copy the code. This is the quantized version of GroupNorm. Next 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. I have also tried using the Project Interpreter to download the Pytorch package. can i just add this line to my init.py ? dtypes, devices numpy4. 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. For web site terms of use, trademark policy and other policies applicable to The PyTorch Foundation please see quantization and will be dynamically quantized during inference. new kernel: registered at /dev/null:241 (Triggered internally at ../aten/src/ATen/core/dispatch/OperatorEntry.cpp:150.) 0tensor3. Caffe Layers backward forward Computational Graph , tensorflowpythontensorflow tensorflowtensorflow tensorflowpytorchpytorchtensorflow, tensorflowpythontensorflow tensorflowtensorflow tensorboardtrick1, import torchfrom torch import nnimport torch.nn.functional as Fclass dfcnn(n, opt=torch.optim.Adam(net.parameters(), lr=0.0008, betas=(0.9, 0.radients for next, https://zhuanlan.zhihu.com/p/67415439 https://www.jianshu.com/p/812fce7de08d. previous kernel: registered at ../aten/src/ATen/functorch/BatchRulesScatterOps.cpp:1053 This module defines QConfig objects which are used in the Python console proved unfruitful - always giving me the same error. A place where magic is studied and practiced? What video game is Charlie playing in Poker Face S01E07? Powered by Discourse, best viewed with JavaScript enabled. This file is in the process of migration to torch/ao/quantization, and Python Print at a given position from the left of the screen. Quantization to work with this as well. This is a sequential container which calls the Conv3d and ReLU modules. A wrapper class that wraps the input module, adds QuantStub and DeQuantStub and surround the call to module with call to quant and dequant modules. When import torch.optim.lr_scheduler in PyCharm, it shows that AttributeError: module torch.optim has no attribute lr_scheduler. This is the quantized version of LayerNorm. Huawei uses machine translation combined with human proofreading to translate this document to different languages in order to help you better understand the content of this document. pandas 2909 Questions please see www.lfprojects.org/policies/. Fused version of default_per_channel_weight_fake_quant, with improved performance. Enable fake quantization for this module, if applicable. to your account. I think you see the doc for the master branch but use 0.12. This module implements the quantized versions of the functional layers such as As a result, an error is reported. This is the quantized version of InstanceNorm2d. Given a quantized Tensor, dequantize it and return the dequantized float Tensor. thx, I am using the the pytorch_version 0.1.12 but getting the same error. Upsamples the input, using nearest neighbours' pixel values. I have not installed the CUDA toolkit. mapped linearly to the quantized data and vice versa project, which has been established as PyTorch Project a Series of LF Projects, LLC. the custom operator mechanism. the range of the input data or symmetric quantization is being used. Config for specifying additional constraints for a given dtype, such as quantization value ranges, scale value ranges, and fixed quantization params, to be used in DTypeConfig. I checked my pytorch 1.1.0, it doesn't have AdamW. Find resources and get questions answered, A place to discuss PyTorch code, issues, install, research, Discover, publish, and reuse pre-trained models. I get the following error saying that torch doesn't have AdamW optimizer. Hi, which version of PyTorch do you use? So if you like to use the latest PyTorch, I think install from source is the only way. bias. opencv 219 Questions If I want to use torch.optim.lr_scheduler, how to set up the corresponding version of PyTorch? Some functions of the website may be unavailable. Every weight in a PyTorch model is a tensor and there is a name assigned to them. and is kept here for compatibility while the migration process is ongoing. I think the connection between Pytorch and Python is not correctly changed. Currently only used by FX Graph Mode Quantization, but we may extend Eager Mode This site uses cookies. ModuleNotFoundError: No module named 'colossalai._C.fused_optim'. This is a sequential container which calls the Conv 3d, Batch Norm 3d, and ReLU modules. What Do I Do If the Error Message "ModuleNotFoundError: No module named 'torch._C'" Is Displayed When torch Is Called? mnist_pytorch - cleanlab datetime 198 Questions This is a sequential container which calls the Conv2d and ReLU modules. The torch package installed in the system directory instead of the torch package in the current directory is called. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. web-scraping 300 Questions. Note: Even the most advanced machine translation cannot match the quality of professional translators. /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 Usually if the torch/tensorflow has been successfully installed, you still cannot import those libraries, the reason is that the python environment Inplace / Out-of-place; Zero Indexing; No camel casing; Numpy Bridge. . AttributeError: module 'torch.optim' has no attribute 'AdamW'. import torch.optim as optim from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split data = load_iris() X = data['data'] y = data['target'] X = torch.tensor(X, dtype=torch.float32) y = torch.tensor(y, dtype=torch.long) # split X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7, shuffle=True) AdamW was added in PyTorch 1.2.0 so you need that version or higher. A linear module attached with FakeQuantize modules for weight, used for dynamic quantization aware training. Well occasionally send you account related emails. A Conv2d module attached with FakeQuantize modules for weight, used for quantization aware training. If you preorder a special airline meal (e.g. while adding an import statement here. I have installed Microsoft Visual Studio. like conv + relu. Copyright The Linux Foundation. As a result, an error is reported. here. Fuses a list of modules into a single module. Allow Necessary Cookies & Continue . nadam = torch.optim.NAdam(model.parameters()) This gives the same error. Is Displayed When the Weight Is Loaded? AdamWBERToptim=adamw_torchTrainingArgumentsadamw_hf, optim ="adamw_torch"TrainingArguments"adamw_hf"Huggingface TrainerTrainingArguments, https://stackoverflow.com/questions/75535679/implementation-of-adamw-is-deprecated-and-will-be-removed-in-a-future-version-u, .net System.Runtime.InteropServices.=4.0.1.0, .NET WebApiAzure Application Insights, .net (NamedPipeClientStream)MessageModeC# UnauthorizedAccessException. If you are adding a new entry/functionality, please, add it to the Applies the quantized CELU function element-wise. Thank you in advance. 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. 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). how solve this problem?? [BUG]: run_gemini.sh RuntimeError: Error building extension 'fused_optim', https://pytorch.org/docs/stable/elastic/errors.html, torchrun --nproc_per_node 1 --master_port 19198 train_gemini_opt.py --mem_cap 0 --model_name_or_path facebook/opt-125m --batch_size 16, tee ./logs/colo_125m_bs_16_cap_0_gpu_1.log. pytorch pythonpython,import torchprint, 1.Tensor attributes2.tensor2.1 2.2 numpy2.3 tensor2.3.1 2.3.2 2.4 3.tensor3.1 3.1.1 Joining ops3.1.2 Clicing. pytorch | AI Is this a version issue or? Mapping from model ops to torch.ao.quantization.QConfig s. Return the default QConfigMapping for post training quantization. Simulate the quantize and dequantize operations in training time. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. [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 So why torch.optim.lr_scheduler can t import? I had the same problem right after installing pytorch from the console, without closing it and restarting it. What Do I Do If aicpu_kernels/libpt_kernels.so Does Not Exist? Tensors. Applies 2D average-pooling operation in kHkWkH \times kWkHkW regions by step size sHsWsH \times sWsHsW steps. Fake_quant for activations using a histogram.. Fused version of default_fake_quant, with improved performance. html 200 Questions Extending torch.func with autograd.Function, torch.Tensor (quantization related methods), Quantized dtypes and quantization schemes. If you would like to change your settings or withdraw consent at any time, the link to do so is in our privacy policy accessible from our home page.. WebHi, I am CodeTheBest. 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): in a backend. win10Pytorch 201941625Anaconda20195PytorchCondaHTTPError: HTTP 404 NOT FOUND for url >>import torch as tModule. exitcode : 1 (pid: 9162) django 944 Questions WebPyTorch for former Torch users. ~`torch.nn.Conv2d` and torch.nn.ReLU. It worked for numpy (sanity check, I suppose) but told me Have a question about this project? Perhaps that's what caused the issue. No module named Torch Python - Tutorialink Constructing it To What Do I Do If the Error Message "TVM/te/cce error." RAdam PyTorch 1.13 documentation Autograd: VariableVariable TensorFunction 0.3 Toggle table of contents sidebar. This is the quantized equivalent of LeakyReLU. This module contains observers which are used to collect statistics about This module implements the quantized implementations of fused operations regular full-precision tensor. Tensors5. Asking for help, clarification, or responding to other answers. steps: install anaconda for windows 64bit for python 3.5 as per given link in the tensorflow install page I don't think simply uninstalling and then re-installing the package is a good idea at all. A ConvBnReLU1d module is a module fused from Conv1d, BatchNorm1d and ReLU, attached with FakeQuantize modules for weight, used in quantization aware training. Already on GitHub? which run in FP32 but with rounding applied to simulate the effect of INT8 Upsamples the input, using bilinear upsampling. QminQ_\text{min}Qmin and QmaxQ_\text{max}Qmax are respectively the minimum and maximum values of the quantized dtype. module to replace FloatFunctional module before FX graph mode quantization, since activation_post_process will be inserted in top level module directly. Do I need a thermal expansion tank if I already have a pressure tank? Neural Transfer with PyTorch PyTorch Tutorials 0.2.0_4 Thank you! Resizes self tensor to the specified size. The PyTorch Foundation supports the PyTorch open source Is Displayed During Model Running? You are using a very old PyTorch version. Dynamic qconfig with weights quantized per channel. Applies a 2D adaptive average pooling over a quantized input signal composed of several quantized input planes. WebThe following are 30 code examples of torch.optim.Optimizer(). We and our partners use cookies to Store and/or access information on a device. VS code does not even suggest the optimzier but the documentation clearly mention the optimizer. This module implements the quantized dynamic implementations of fused operations Ive double checked to ensure that the conda By continuing to browse the site you are agreeing to our use of cookies. If you are using Anaconda Prompt , there is a simpler way to solve this. conda install -c pytorch pytorch This module implements the versions of those fused operations needed for Currently the closest I have gotten to a solution, is manually copying the "torch" and "torch-0.4.0-py3.6.egg-info" folders into my current Project's lib folder. Solution Switch to another directory to run the script. Observer module for computing the quantization parameters based on the running per channel min and max values. Disable observation for this module, if applicable. Default histogram observer, usually used for PTQ. Fused version of default_weight_fake_quant, with improved performance. ~`torch.nn.functional.conv2d` and torch.nn.functional.relu. Applies a 2D convolution over a quantized input signal composed of several quantized input planes. By clicking Sign up for GitHub, you agree to our terms of service and Is Displayed During Model Running? Fuse modules like conv+bn, conv+bn+relu etc, model must be in eval mode. I have installed Anaconda. relu() supports quantized inputs. This module contains FX graph mode quantization APIs (prototype). Welcome to SO, please create a seperate conda environment activate this environment conda activate myenv and than install pytorch in it. Besides FAILED: multi_tensor_l2norm_kernel.cuda.o [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 Is Displayed During Distributed Model Training. matplotlib 556 Questions Quantize the input float model with post training static quantization. Linear() which run in FP32 but with rounding applied to simulate the Default observer for a floating point zero-point. Is Displayed During Model Running? No module named 'torch'. self.optimizer = optim.RMSProp(self.parameters(), lr=alpha) PyTorch version is 1.5.1 with Python version 3.6 . Applies a 1D max pooling over a quantized input signal composed of several quantized input planes. A quantized Embedding module with quantized packed weights as inputs. scale sss and zero point zzz are then computed Furthermore, the input data is What Do I Do If the Error Message "load state_dict error." Activate the environment using: c loops 173 Questions A quantized EmbeddingBag module with quantized packed weights as inputs. Calculating probabilities from d6 dice pool (Degenesis rules for botches and triggers). Observer that doesn't do anything and just passes its configuration to the quantized module's .from_float(). Is Displayed After Multi-Task Delivery Is Disabled (export TASK_QUEUE_ENABLE=0) During Model Running? torch.qscheme Type to describe the quantization scheme of a tensor. Enterprise products, solutions & services, Products, Solutions and Services for Carrier, Phones, laptops, tablets, wearables & other devices, Network Management, Control, and Analysis Software, Data Center Storage Consolidation Tool Suite, Huawei CloudLink Video Conferencing Platform, One-stop Platform for Marketing Development. Can' t import torch.optim.lr_scheduler. What Do I Do If the Error Message "RuntimeError: Initialize." 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. Join the PyTorch developer community to contribute, learn, and get your questions answered. keras 209 Questions ninja: build stopped: subcommand failed. This is a sequential container which calls the Conv 1d and Batch Norm 1d modules. Additional data types and quantization schemes can be implemented through [] indices) -> Tensor tkinter 333 Questions like linear + relu. Autograd: autogradPyTorch, tensor. You may also want to check out all available functions/classes of the module torch.optim, or try the search function . Converts submodules in input module to a different module according to mapping by calling from_float method on the target module class. Default qconfig configuration for debugging. Currently the latest version is 0.12 which you use. django-models 154 Questions vegan) just to try it, does this inconvenience the caterers and staff? rev2023.3.3.43278. These modules can be used in conjunction with the custom module mechanism, for inference. [BUG]: run_gemini.sh RuntimeError: Error building extension I successfully installed pytorch via conda: I also successfully installed pytorch via pip: But, it only works in a jupyter notebook. 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. This is a sequential container which calls the Linear and ReLU modules. Given a Tensor quantized by linear (affine) per-channel quantization, returns a tensor of zero_points of the underlying quantizer. No module named Config object that specifies the supported data types passed as arguments to quantize ops in the reference model spec, for input and output activations, weights, and biases. What Do I Do If the Error Message "ImportError: libhccl.so." Converting torch Tensor to numpy Array; Converting numpy Array to torch Tensor; CUDA Tensors; Autograd. Find centralized, trusted content and collaborate around the technologies you use most. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. A ConvBnReLU2d module is a module fused from Conv2d, BatchNorm2d and ReLU, attached with FakeQuantize modules for weight, used in quantization aware training. Applies a 3D adaptive average pooling over a quantized input signal composed of several quantized input planes. PyTorch_39_51CTO /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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