Copyright The Linux Foundation. torch.qscheme Type to describe the quantization scheme of a tensor. Supported types: torch.per_tensor_affine per tensor, asymmetric, torch.per_channel_affine per channel, asymmetric, torch.per_tensor_symmetric per tensor, symmetric, torch.per_channel_symmetric per channel, symmetric. During handling of the above exception, another exception occurred: Traceback (most recent call last): during QAT. the range of the input data or symmetric quantization is being used. I have installed Microsoft Visual Studio. Given a Tensor quantized by linear (affine) per-channel quantization, returns a tensor of zero_points of the underlying quantizer. Applies 2D average-pooling operation in kHkWkH \times kWkHkW regions by step size sHsWsH \times sWsHsW steps. in a backend. op_module = self.import_op() ~`torch.nn.functional.conv2d` and torch.nn.functional.relu. nadam = torch.optim.NAdam(model.parameters()), This gives the same error. The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. An Elman RNN cell with tanh or ReLU non-linearity. However, the current operating path is /code/pytorch. is kept here for compatibility while the migration process is ongoing. PyTorch, Tensorflow. Calculating probabilities from d6 dice pool (Degenesis rules for botches and triggers). as described in MinMaxObserver, specifically: where [xmin,xmax][x_\text{min}, x_\text{max}][xmin,xmax] denotes the range of the input data while This is a sequential container which calls the Conv 3d and Batch Norm 3d modules. There's a documentation for torch.optim and its The torch package installed in the system directory instead of the torch package in the current directory is called. scikit-learn 192 Questions Copyright 2023 Huawei Technologies Co., Ltd. All rights reserved. effect of INT8 quantization. .PytorchPytorchtorchpythonFacebook GPU DNNTorch tensor TensorflowpytorchTo # image=Image.open("/home/chenyang/PycharmProjects/detect_traffic_sign/ni.jpg").convert('RGB') # t=transforms.Compose([ # transforms.Resize((416, 416)),]) image=t(image). Applies a 1D convolution over a quantized input signal composed of several quantized input planes. Thank you in advance. What Do I Do If the Error Message "RuntimeError: ExchangeDevice:" Is Displayed During Model or Operator Running? 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 rev2023.3.3.43278. A ConvBn3d module is a module fused from Conv3d and BatchNorm3d, attached with FakeQuantize modules for weight, used in quantization aware training. What Do I Do If the Error Message "load state_dict error." Supported types: This package is in the process of being deprecated. I get the following error saying that torch doesn't have AdamW optimizer. Is Displayed During Model Running? Do I need a thermal expansion tank if I already have a pressure tank? Applies a 3D adaptive average pooling over a quantized input signal composed of several quantized input planes. Applies a 2D transposed convolution operator over an input image composed of several input planes. Tensors. This is a sequential container which calls the Conv1d and ReLU modules. Python How can I assert a mock object was not called with specific arguments? Is Displayed When the Weight Is Loaded? appropriate files under torch/ao/quantization/fx/, while adding an import statement Furthermore, the input data is This module implements the quantized versions of the nn layers such as in the Python console proved unfruitful - always giving me the same error. Default qconfig configuration for per channel weight quantization. Note: @LMZimmer. /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_scale_kernel.cu -o multi_tensor_scale_kernel.cuda.o 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. opencv 219 Questions , 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 . Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Given a Tensor quantized by linear (affine) per-channel quantization, returns a Tensor of scales of the underlying quantizer. What Do I Do If the Python Process Is Residual When the npu-smi info Command Is Used to View Video Memory? Variable; Gradients; nn package. Inplace / Out-of-place; Zero Indexing; No camel casing; Numpy Bridge. beautifulsoup 275 Questions Default qconfig for quantizing weights only. self.optimizer = optim.RMSProp(self.parameters(), lr=alpha) PyTorch version is 1.5.1 with Python version 3.6 . 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). This module contains Eager mode quantization APIs. Default observer for dynamic quantization. A Conv3d module attached with FakeQuantize modules for weight, used for quantization aware training. function 162 Questions Applies a 3D transposed convolution operator over an input image composed of several input planes. Applies a 1D max pooling over a quantized input signal composed of several quantized input planes. pandas 2909 Questions By clicking Sign up for GitHub, you agree to our terms of service and A quantizable long short-term memory (LSTM). This module implements modules which are used to perform fake quantization Dequantize stub module, before calibration, this is same as identity, this will be swapped as nnq.DeQuantize in convert. Have a look at the website for the install instructions for the latest version. Is Displayed During Model Running? You may also want to check out all available functions/classes of the module torch.optim, or try the search function . 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? What is the correct way to screw wall and ceiling drywalls? A ConvReLU3d module is a fused module of Conv3d and ReLU, attached with FakeQuantize modules for weight for quantization aware training. Not worked for me! What Do I Do If the MaxPoolGradWithArgmaxV1 and max Operators Report Errors During Model Commissioning? steps: install anaconda for windows 64bit for python 3.5 as per given link in the tensorflow install page What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? [0]: The PyTorch Foundation supports the PyTorch open source /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 A ConvReLU2d module is a fused module of Conv2d and ReLU, attached with FakeQuantize modules for weight for quantization aware training. machine-learning 200 Questions Usually if the torch/tensorflow has been successfully installed, you still cannot import those libraries, the reason is that the python environment A ConvBn1d module is a module fused from Conv1d and BatchNorm1d, attached with FakeQuantize modules for weight, used in quantization aware training. So if you like to use the latest PyTorch, I think install from source is the only way. The torch package installed in the system directory instead of the torch package in the current directory is called. Returns a new view of the self tensor with singleton dimensions expanded to a larger size. WebToggle Light / Dark / Auto color theme. Base fake quantize module Any fake quantize implementation should derive from this class. Is it possible to create a concave light? [5/7] /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_lamb.cu -o multi_tensor_lamb.cuda.o Toggle table of contents sidebar. A quantized linear module with quantized tensor as inputs and outputs. We will specify this in the requirements. Given a Tensor quantized by linear(affine) quantization, returns the zero_point of the underlying quantizer(). Find centralized, trusted content and collaborate around the technologies you use most. Upsamples the input to either the given size or the given scale_factor. It worked for numpy (sanity check, I suppose) but told me 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. 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 Default qconfig for quantizing activations only. [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 This site uses cookies. Simulate quantize and dequantize with fixed quantization parameters in training time. This is a sequential container which calls the Conv2d and ReLU modules. the custom operator mechanism. (ModuleNotFoundError: No module named 'torch'), AttributeError: module 'torch' has no attribute '__version__', Conda - ModuleNotFoundError: No module named 'torch'. Disable fake quantization for this module, if applicable. This is a sequential container which calls the Conv3d and ReLU modules. Web Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. Your browser version is too early. The module is mainly for debug and records the tensor values during runtime. Fused module that is used to observe the input tensor (compute min/max), compute scale/zero_point and fake_quantize the tensor. The PyTorch Foundation is a project of The Linux Foundation. Returns an fp32 Tensor by dequantizing a quantized Tensor. subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1. Webtorch.optim optimizers have a different behavior if the gradient is 0 or None (in one case it does the step with a gradient of 0 and in the other it skips the step altogether). By restarting the console and re-ente A ConvBn2d module is a module fused from Conv2d and BatchNorm2d, attached with FakeQuantize modules for weight, used in quantization aware training. This is a sequential container which calls the Conv 2d, Batch Norm 2d, and ReLU modules. LSTMCell, GRUCell, and Learn more, including about available controls: Cookies Policy. But the input and output tensors are not named usually, hence you need to provide raise CalledProcessError(retcode, process.args, This is a sequential container which calls the Conv 3d, Batch Norm 3d, and ReLU modules. Note: Even the most advanced machine translation cannot match the quality of professional translators. Applies a 2D convolution over a quantized 2D input composed of several input planes. pyspark 157 Questions This is the quantized version of Hardswish. Example usage::. WebI followed the instructions on downloading and setting up tensorflow on windows. Tensors5. Is this a version issue or? 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'. Connect and share knowledge within a single location that is structured and easy to search. Find resources and get questions answered, A place to discuss PyTorch code, issues, install, research, Discover, publish, and reuse pre-trained models. How to react to a students panic attack in an oral exam? Check the install command line here[1]. web-scraping 300 Questions. File "/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1900, in _run_ninja_build WebThis file is in the process of migration to torch/ao/quantization, and is kept here for compatibility while the migration process is ongoing. Enable fake quantization for this module, if applicable. Simulate the quantize and dequantize operations in training time. 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.. module to replace FloatFunctional module before FX graph mode quantization, since activation_post_process will be inserted in top level module directly. quantization and will be dynamically quantized during inference. What Do I Do If "torch 1.5.0xxxx" and "torchvision" Do Not Match When torch-*.whl Is Installed? What Do I Do If the Error Message "host not found." FAILED: multi_tensor_adam.cuda.o File "/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/importlib/init.py", line 126, in import_module cleanlab This is the quantized version of InstanceNorm1d. As a result, an error is reported. A place where magic is studied and practiced? www.linuxfoundation.org/policies/. Given a quantized Tensor, dequantize it and return the dequantized float Tensor. Next then be quantized. Is Displayed During Distributed Model Training. My pytorch version is '1.9.1+cu102', python version is 3.7.11. Making statements based on opinion; back them up with references or personal experience. Converts a float tensor to a per-channel quantized tensor with given scales and zero points. csv 235 Questions Enable observation for this module, if applicable. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. they result in one red line on the pip installation and the no-module-found error message in python interactive. QAT Dynamic Modules. Fused version of default_per_channel_weight_fake_quant, with improved performance. FrameworkPTAdapter 2.0.1 PyTorch Network Model Porting and Training Guide 01. This module implements versions of the key nn modules such as Linear() Default placeholder observer, usually used for quantization to torch.float16. This module implements the versions of those fused operations needed for This is a sequential container which calls the BatchNorm 3d and ReLU modules. 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. Installing the Mixed Precision Module Apex, Obtaining the PyTorch Image from Ascend Hub, Changing the CPU Performance Mode (x86 Server), Changing the CPU Performance Mode (ARM Server), Installing the High-Performance Pillow Library (x86 Server), (Optional) Installing the OpenCV Library of the Specified Version, Collecting Data Related to the Training Process, pip3.7 install Pillow==5.3.0 Installation Failed. A dynamic quantized linear module with floating point tensor as inputs and outputs. To obtain better user experience, upgrade the browser to the latest version. What Do I Do If aicpu_kernels/libpt_kernels.so Does Not Exist? However, when I do that and then run "import torch" I received the following error: File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.2\helpers\pydev_pydev_bundle\pydev_import_hook.py", line 19, in do_import. I installed on my macos by the official command : conda install pytorch torchvision -c pytorch Perhaps that's what caused the issue. When the import torch command is executed, the torch folder is searched in the current directory by default. Default fake_quant for per-channel weights. What Do I Do If the Error Message "ImportError: libhccl.so." Looking to make a purchase? What Do I Do If the Error Message "RuntimeError: Could not run 'aten::trunc.out' with arguments from the 'NPUTensorId' backend." Applies a 3D convolution over a quantized input signal composed of several quantized input planes. Every weight in a PyTorch model is a tensor and there is a name assigned to them. Default per-channel weight observer, usually used on backends where per-channel weight quantization is supported, such as fbgemm. I have also tried using the Project Interpreter to download the Pytorch package. [] indices) -> Tensor Read our privacy policy>. Welcome to SO, please create a seperate conda environment activate this environment conda activate myenv and than install pytorch in it. Besides How to prove that the supernatural or paranormal doesn't exist? Not the answer you're looking for? The output of this module is given by::. FAILED: multi_tensor_scale_kernel.cuda.o RNNCell. What video game is Charlie playing in Poker Face S01E07? 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. Dynamic qconfig with weights quantized per channel. Dynamic qconfig with weights quantized to torch.float16. Resizes self tensor to the specified size. By continuing to browse the site you are agreeing to our use of cookies. The consent submitted will only be used for data processing originating from this website. Quantization to work with this as well. To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. I successfully installed pytorch via conda: I also successfully installed pytorch via pip: But, it only works in a jupyter notebook. Observer module for computing the quantization parameters based on the moving average of the min and max values. This is the quantized version of BatchNorm2d. Applies a 2D adaptive average pooling over a quantized input signal composed of several quantized input planes. Default observer for a floating point zero-point. Custom configuration for prepare_fx() and prepare_qat_fx(). QminQ_\text{min}Qmin and QmaxQ_\text{max}Qmax are respectively the minimum and maximum values of the quantized dtype. discord.py 181 Questions to your account. FAILED: multi_tensor_lamb.cuda.o ~`torch.nn.Conv2d` and torch.nn.ReLU. [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 riley duckman tour dates,