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. Crop1.transforms.RandomCrop2.transforms.CenterCrop3. transforms.RandomResizedCrop4.tr libtorchpytorch resnet50dimage = image.resize((224, 224),Image.ANT. Given a quantized Tensor, self.int_repr() returns a CPU Tensor with uint8_t as data type that stores the underlying uint8_t values of the given Tensor. A limit involving the quotient of two sums. This module defines QConfig objects which are used Is Displayed During Model Running? This module implements the quantized dynamic implementations of fused operations The consent submitted will only be used for data processing originating from this website. registered at aten/src/ATen/RegisterSchema.cpp:6 Dynamic qconfig with weights quantized per channel. Usually if the torch/tensorflow has been successfully installed, you still cannot import those libraries, the reason is that the python environment A ConvReLU3d module is a fused module of Conv3d and ReLU, attached with FakeQuantize modules for weight for quantization aware training. Check the install command line here[1]. tkinter 333 Questions to your account. Access comprehensive developer documentation for PyTorch, Get in-depth tutorials for beginners and advanced developers, Find development resources and get your questions answered. Applies a 1D max pooling over a quantized input signal composed of several quantized input planes. Enable fake quantization for this module, if applicable. What video game is Charlie playing in Poker Face S01E07? This module contains QConfigMapping for configuring FX graph mode quantization. nvcc fatal : Unsupported gpu architecture 'compute_86' /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 File "", line 1004, in _find_and_load_unlocked What Do I Do If an Error Is Reported During CUDA Stream Synchronization? What Do I Do If the Error Message "TVM/te/cce error." opencv 219 Questions nvcc fatal : Unsupported gpu architecture 'compute_86' Example usage::. What am I doing wrong here in the PlotLegends specification? torch.dtype Type to describe the data. Disable observation for this module, if applicable. python - No module named "Torch" - Stack Overflow support per channel quantization for weights of the conv and linear A quantized EmbeddingBag module with quantized packed weights as inputs. Please, use torch.ao.nn.quantized instead. Converts a float tensor to a per-channel quantized tensor with given scales and zero points. python-3.x 1613 Questions A LinearReLU module fused from Linear and ReLU modules that can be used for dynamic quantization. steps: install anaconda for windows 64bit for python 3.5 as per given link in the tensorflow install page like linear + relu. 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. What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? The module records the running histogram of tensor values along with min/max values. Is Displayed During Model Commissioning. list 691 Questions 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. I think the connection between Pytorch and Python is not correctly changed. You need to add this at the very top of your program import torch Visualizing a PyTorch Model - MachineLearningMastery.com You may also want to check out all available functions/classes of the module torch.optim, or try the search function . A ConvBnReLU1d module is a module fused from Conv1d, BatchNorm1d and ReLU, attached with FakeQuantize modules for weight, used in quantization aware training. PyTorch, Tensorflow. Pytorch. Copyright 2005-2023 51CTO.COM ICP060544, ""ronghuaiyangPyTorchPyTorch. Now go to Python shell and import using the command: arrays 310 Questions Some of our partners may process your data as a part of their legitimate business interest without asking for consent. A ConvBnReLU2d module is a module fused from Conv2d, BatchNorm2d and ReLU, attached with FakeQuantize modules for weight, used in quantization aware training. Returns the state dict corresponding to the observer stats. Ive double checked to ensure that the conda WebPyTorch for former Torch users. This describes the quantization related functions of the torch namespace. the range of the input data or symmetric quantization is being used. 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. 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? This module implements the quantized versions of the functional layers such as What Do I Do If the Error Message "RuntimeError: ExchangeDevice:" Is Displayed During Model or Operator Running? If I want to use torch.optim.lr_scheduler, how to set up the corresponding version of PyTorch? The text was updated successfully, but these errors were encountered: You signed in with another tab or window. [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 for-loop 170 Questions My pytorch version is '1.9.1+cu102', python version is 3.7.11. no module named A dynamic quantized LSTM module with floating point tensor as inputs and outputs. Quantized Tensors support a limited subset of data manipulation methods of the Default qconfig configuration for per channel weight quantization. as described in MinMaxObserver, specifically: where [xmin,xmax][x_\text{min}, x_\text{max}][xmin,xmax] denotes the range of the input data while scikit-learn 192 Questions 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. Quantization to work with this as well. Is a collection of years plural or singular? This is a sequential container which calls the BatchNorm 3d and ReLU modules. Note that the choice of sss and zzz implies that zero is represented with no quantization error whenever zero is within Is Displayed During Distributed Model Training. Applies the quantized CELU function element-wise. in a backend. pytorch | AI This is a sequential container which calls the Conv 2d, Batch Norm 2d, and ReLU modules. Instantly find the answers to all your questions about Huawei products and This module implements modules which are used to perform fake quantization My pytorch version is '1.9.1+cu102', python version is 3.7.11. here. Join the PyTorch developer community to contribute, learn, and get your questions answered. VS code does not torch.optim PyTorch 1.13 documentation Mapping from model ops to torch.ao.quantization.QConfig s. Return the default QConfigMapping for post training quantization. What is the correct way to screw wall and ceiling drywalls? Applies a 2D convolution over a quantized input signal composed of several quantized input planes. By restarting the console and re-ente html 200 Questions Is Displayed When the Weight Is Loaded? I get the following error saying that torch doesn't have AdamW optimizer. the values observed during calibration (PTQ) or training (QAT). project, which has been established as PyTorch Project a Series of LF Projects, LLC. This file is in the process of migration to torch/ao/nn/quantized/dynamic, What Do I Do If the Error Message "host not found." AttributeError: module 'torch.optim' has no attribute 'RMSProp' A ConvBn2d module is a module fused from Conv2d and BatchNorm2d, attached with FakeQuantize modules for weight, used in quantization aware training. 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. 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. Learn about PyTorchs features and capabilities. [BUG]: run_gemini.sh RuntimeError: Error building extension time : 2023-03-02_17:15:31 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): You are using a very old PyTorch version. flask 263 Questions like conv + relu. thx, I am using the the pytorch_version 0.1.12 but getting the same error. selenium 372 Questions Simulate the quantize and dequantize operations in training time. It worked for numpy (sanity check, I suppose) but told me subprocess.run( A place where magic is studied and practiced? This module implements versions of the key nn modules such as Linear() To view the purposes they believe they have legitimate interest for, or to object to this data processing use the vendor list link below. nadam = torch.optim.NAdam(model.parameters()) This gives the same error. [2/7] /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_scale_kernel.cu -o multi_tensor_scale_kernel.cuda.o Find centralized, trusted content and collaborate around the technologies you use most. Describes how to quantize a layer or a part of the network by providing settings (observer classes) for activations and weights respectively. Quantize stub module, before calibration, this is same as an observer, it will be swapped as nnq.Quantize in convert. Applies a 1D convolution over a quantized input signal composed of several quantized input planes. Toggle table of contents sidebar. 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 The torch.nn.quantized namespace is in the process of being deprecated. Please, use torch.ao.nn.qat.dynamic instead. By clicking Sign up for GitHub, you agree to our terms of service and An enum that represents different ways of how an operator/operator pattern should be observed, This module contains a few CustomConfig classes thats used in both eager mode and FX graph mode quantization. File "/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/importlib/init.py", line 126, in import_module 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. web-scraping 300 Questions. Not worked for me! This module implements the quantizable versions of some of the nn layers. discord.py 181 Questions regular full-precision tensor. relu() supports quantized inputs. bias. numpy 870 Questions Supported types: This package is in the process of being deprecated. The PyTorch Foundation is a project of The Linux Foundation. Is there a single-word adjective for "having exceptionally strong moral principles"? Default observer for dynamic quantization. Default qconfig configuration for debugging. Thanks for contributing an answer to Stack Overflow! Manage Settings By continuing to browse the site you are agreeing to our use of cookies. then be quantized. 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.. Prepares a copy of the model for quantization calibration or quantization-aware training and converts it to quantized version. Note: This will install both torch and torchvision.. Now go to Python shell and import using the command: torch torch.no_grad () HuggingFace Transformers privacy statement. What Do I Do If the Error Message "terminate called after throwing an instance of 'c10::Error' what(): HelpACLExecute:" Is Displayed During Model Running? Given input model and a state_dict containing model observer stats, load the stats back into the model. Please, use torch.ao.nn.qat.modules instead. Dynamically quantized Linear, LSTM, You are right. I successfully installed pytorch via conda: I also successfully installed pytorch via pip: But, it only works in a jupyter notebook. Python Print at a given position from the left of the screen. mnist_pytorch - cleanlab @LMZimmer. A dynamic quantized linear module with floating point tensor as inputs and outputs. A Conv3d module attached with FakeQuantize modules for weight, used for quantization aware training. win10Pytorch 201941625Anaconda20195PytorchCondaHTTPError: HTTP 404 NOT FOUND for url >>import torch as tModule. please see www.lfprojects.org/policies/. I have also tried using the Project Interpreter to download the Pytorch package. Applies a 3D convolution over a quantized input signal composed of several quantized input planes. Next We will specify this in the requirements. File "/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1900, in _run_ninja_build Tensors5. (ModuleNotFoundError: No module named 'torch'), AttributeError: module 'torch' has no attribute '__version__', Conda - ModuleNotFoundError: No module named 'torch'. QAT Dynamic Modules. FAILED: multi_tensor_adam.cuda.o loops 173 Questions Given a quantized Tensor, dequantize it and return the dequantized float Tensor. and is kept here for compatibility while the migration process is ongoing. , 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 . Is Displayed During Model Running? Returns a new tensor with the same data as the self tensor but of a different shape. string 299 Questions dtypes, devices numpy4. 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. return _bootstrap._gcd_import(name[level:], package, level) 1.1.1 Parameter()1.2 Containers()1.2.1 Module(1.2.2 Sequential()1.2.3 ModuleList1.2.4 ParameterList2.autograd,autograd windowscifar10_tutorial.py, BrokenPipeError: [Errno 32] Broken pipe When i :"run cifar10_tutorial.pyhttps://github.com/pytorch/examples/issues/201IPython, Pytorch0.41.Tensor Variable2. ModuleNotFoundError: No module named 'torch' (conda Default observer for static quantization, usually used for debugging. Thus, I installed Pytorch for 3.6 again and the problem is solved. to your account, /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/torch/library.py:130: UserWarning: Overriding a previously registered kernel for the same operator and the same dispatch key Dequantize stub module, before calibration, this is same as identity, this will be swapped as nnq.DeQuantize in convert. What Do I Do If the Error Message "RuntimeError: Could not run 'aten::trunc.out' with arguments from the 'NPUTensorId' backend." while adding an import statement here. 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. Default observer for a floating point zero-point. Applies a 2D adaptive average pooling over a quantized input signal composed of several quantized input planes. tensorflow 339 Questions Upsamples the input, using nearest neighbours' pixel values. Default qconfig for quantizing activations only. This module contains Eager mode quantization APIs. FAILED: multi_tensor_scale_kernel.cuda.o 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. 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. Welcome to SO, please create a seperate conda environment activate this environment conda activate myenv and than install pytorch in it. Besides This is a sequential container which calls the Conv 1d, Batch Norm 1d, and ReLU modules. Dynamic qconfig with both activations and weights quantized to torch.float16. [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 A quantizable long short-term memory (LSTM). This is the quantized equivalent of LeakyReLU. We and our partners use cookies to Store and/or access information on a device. Already on GitHub? Fake_quant for activations using a histogram.. Fused version of default_fake_quant, with improved performance. Perhaps that's what caused the issue. In the preceding figure, the error path is /code/pytorch/torch/init.py. in the Python console proved unfruitful - always giving me the same error. This is the quantized version of GroupNorm. No module named Thank you in advance. beautifulsoup 275 Questions Sign in Make sure that NumPy and Scipy libraries are installed before installing the torch library that worked for me at least on windows. Install NumPy: /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 Where does this (supposedly) Gibson quote come from? Base fake quantize module Any fake quantize implementation should derive from this class.