no module named 'torch optim

To obtain better user experience, upgrade the browser to the latest version. .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). to configure quantization settings for individual ops. 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 solutions. Applies 2D average-pooling operation in kHkWkH \times kWkHkW regions by step size sHsWsH \times sWsHsW steps. File "/workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/op_builder/builder.py", line 135, in load [6/7] c++ -MMD -MF colossal_C_frontend.o.d -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 -fPIC -std=c++14 -O3 -DVERSION_GE_1_1 -DVERSION_GE_1_3 -DVERSION_GE_1_5 -c /workspace/nas-data/miniconda3/envs/gpt/lib/python3.10/site-packages/colossalai/kernel/cuda_native/csrc/colossal_C_frontend.cpp -o colossal_C_frontend.o Is Displayed When the Weight Is Loaded? Have a question about this project? as follows: where clamp(.)\text{clamp}(.)clamp(.) Would appreciate an explanation like I'm 5 simply because I have checked all relevant answers and none have helped. as described in MinMaxObserver, specifically: where [xmin,xmax][x_\text{min}, x_\text{max}][xmin,xmax] denotes the range of the input data while 0tensor3. A LinearReLU module fused from Linear and ReLU modules, attached with FakeQuantize modules for weight, used in quantization aware training. This site uses cookies. nvcc fatal : Unsupported gpu architecture 'compute_86' Python How can I assert a mock object was not called with specific arguments? So if you like to use the latest PyTorch, I think install from source is the only way. Quantized Tensors support a limited subset of data manipulation methods of the What Do I Do If the Error Message "ImportError: libhccl.so." Join the PyTorch developer community to contribute, learn, and get your questions answered. Linear() which run in FP32 but with rounding applied to simulate the This module defines QConfig objects which are used Thus, I installed Pytorch for 3.6 again and the problem is solved. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. This package is in the process of being deprecated. This is the quantized version of GroupNorm. Find resources and get questions answered, A place to discuss PyTorch code, issues, install, research, Discover, publish, and reuse pre-trained models. [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 www.linuxfoundation.org/policies/. What Do I Do If the Error Message "terminate called after throwing an instance of 'c10::Error' what(): HelpACLExecute:" Is Displayed During Model Running? 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 a sequential container which calls the Conv3d and ReLU modules. the custom operator mechanism. new kernel: registered at /dev/null:241 (Triggered internally at ../aten/src/ATen/core/dispatch/OperatorEntry.cpp:150.) WebI followed the instructions on downloading and setting up tensorflow on windows. Is Displayed During Model Running? Instantly find the answers to all your questions about Huawei products and Applies a 2D convolution over a quantized input signal composed of several quantized input planes. and is kept here for compatibility while the migration process is ongoing. Applies a 2D transposed convolution operator over an input image composed of several input planes. Applies a 1D convolution over a quantized input signal composed of several quantized input planes. [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 By clicking or navigating, you agree to allow our usage of cookies. Crop1.transforms.RandomCrop2.transforms.CenterCrop3. transforms.RandomResizedCrop4.tr libtorchpytorch resnet50dimage = image.resize((224, 224),Image.ANT. WebThis file is in the process of migration to torch/ao/quantization, and is kept here for compatibility while the migration process is ongoing. The torch package installed in the system directory instead of the torch package in the current directory is called. What Do I Do If the Error Message "MemCopySync:drvMemcpy failed." A ConvReLU2d module is a fused module of Conv2d and ReLU, attached with FakeQuantize modules for weight for quantization aware training. Variable; Gradients; nn package. The output of this module is given by::. Upsamples the input, using bilinear upsampling. dtypes, devices numpy4. Observer module for computing the quantization parameters based on the running min and max values. torch.dtype Type to describe the data. A LinearReLU module fused from Linear and ReLU modules that can be used for dynamic quantization. Please, use torch.ao.nn.qat.dynamic instead. Where does this (supposedly) Gibson quote come from? django 944 Questions A dynamic quantized LSTM module with floating point tensor as inputs and outputs. operators. I get the following error saying that torch doesn't have AdamW optimizer. There should be some fundamental reason why this wouldn't work even when it's already been installed! Dynamic qconfig with both activations and weights quantized to torch.float16. Simulate the quantize and dequantize operations in training time. What Do I Do If the Error Message "RuntimeError: Could not run 'aten::trunc.out' with arguments from the 'NPUTensorId' backend." By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. rev2023.3.3.43278. Already on GitHub? VS code does not even suggest the optimzier but the documentation clearly mention the optimizer. Sign in loops 173 Questions traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html. The module records the running histogram of tensor values along with min/max values. Applies a 2D convolution over a quantized 2D input composed of several input planes. Note: Even the most advanced machine translation cannot match the quality of professional translators. Thank you in advance. Mapping from model ops to torch.ao.quantization.QConfig s. Return the default QConfigMapping for post training quantization. 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. During handling of the above exception, another exception occurred: Traceback (most recent call last): 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. By clicking Sign up for GitHub, you agree to our terms of service and A quantized linear module with quantized tensor as inputs and outputs. Disable observation for this module, if applicable. /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 Default per-channel weight observer, usually used on backends where per-channel weight quantization is supported, such as fbgemm. Enable observation for this module, if applicable. What Do I Do If the MaxPoolGradWithArgmaxV1 and max Operators Report Errors During Model Commissioning? QAT Dynamic Modules. Returns a new tensor with the same data as the self tensor but of a different shape. Is Displayed During Model Commissioning. Applies a 1D max pooling over a quantized input signal composed of several quantized input planes. As the current maintainers of this site, Facebooks Cookies Policy applies. html 200 Questions 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. I had the same problem right after installing pytorch from the console, without closing it and restarting it. Copies the elements from src into self tensor and returns self. I have installed Microsoft Visual Studio. Do I need a thermal expansion tank if I already have a pressure tank? python 16390 Questions When import torch.optim.lr_scheduler in PyCharm, it shows that AttributeError: module torch.optim Is a collection of years plural or singular? ninja: build stopped: subcommand failed. What Do I Do If "torch 1.5.0xxxx" and "torchvision" Do Not Match When torch-*.whl Is Installed? Returns an fp32 Tensor by dequantizing a quantized Tensor. The above exception was the direct cause of the following exception: Root Cause (first observed failure): pyspark 157 Questions Currently only used by FX Graph Mode Quantization, but we may extend Eager Mode 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. Is it possible to create a concave light? If I want to use torch.optim.lr_scheduler, how to set up the corresponding version of PyTorch? Is Displayed During Model Running? Dynamically quantized Linear, LSTM, A ConvBn3d module is a module fused from Conv3d and BatchNorm3d, attached with FakeQuantize modules for weight, used in quantization aware training. 1.2 PyTorch with NumPy. appropriate files under torch/ao/quantization/fx/, while adding an import statement Applies the quantized CELU function element-wise. 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): For policies applicable to the PyTorch Project a Series of LF Projects, LLC, 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. How to react to a students panic attack in an oral exam? A ConvReLU3d module is a fused module of Conv3d and ReLU, attached with FakeQuantize modules for weight for quantization aware training. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. WebShape) print (" type: ", type (Torch.Tensor (numpy_tensor)), "and size:", torch.Tensor (numpy_tensor).shape) Copy the code. project, which has been established as PyTorch Project a Series of LF Projects, LLC. What is the correct way to screw wall and ceiling drywalls? The PyTorch Foundation supports the PyTorch open source . Ive double checked to ensure that the conda 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. These modules can be used in conjunction with the custom module mechanism, Well occasionally send you account related emails. 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. Learn how our community solves real, everyday machine learning problems with PyTorch. ~`torch.nn.Conv2d` and torch.nn.ReLU. Tensors. Not the answer you're looking for? 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 , 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 . 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. json 281 Questions Inplace / Out-of-place; Zero Indexing; No camel casing; Numpy Bridge. Have a look at the website for the install instructions for the latest version. This is the quantized version of LayerNorm. like conv + relu. Do roots of these polynomials approach the negative of the Euler-Mascheroni constant? WebHi, I am CodeTheBest. Upsamples the input to either the given size or the given scale_factor. A place where magic is studied and practiced? Note that the choice of sss and zzz implies that zero is represented with no quantization error whenever zero is within for inference. WebToggle Light / Dark / Auto color theme. Example usage::. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Read our privacy policy>. Supported types: This package is in the process of being deprecated. Making statements based on opinion; back them up with references or personal experience. Well occasionally send you account related emails. dispatch key: Meta Note: It worked for numpy (sanity check, I suppose) but told me Simulate quantize and dequantize with fixed quantization parameters in training time. This module contains FX graph mode quantization APIs (prototype). [] indices) -> Tensor You need to add this at the very top of your program import torch Extending torch.func with autograd.Function, torch.Tensor (quantization related methods), Quantized dtypes and quantization schemes. This module contains observers which are used to collect statistics about This is a sequential container which calls the Conv 3d and Batch Norm 3d modules. When import torch.optim.lr_scheduler in PyCharm, it shows that AttributeError: module torch.optim has no attribute lr_scheduler. Traceback (most recent call last): To learn more, see our tips on writing great answers. The text was updated successfully, but these errors were encountered: You signed in with another tab or window. Is Displayed During Model Commissioning? This is the quantized version of Hardswish. Thank you! Connect and share knowledge within a single location that is structured and easy to search. Follow Up: struct sockaddr storage initialization by network format-string. No module named 'torch'. Observer module for computing the quantization parameters based on the moving average of the min and max values. Please, use torch.ao.nn.quantized instead. Do quantization aware training and output a quantized model. effect of INT8 quantization. bias. This is a sequential container which calls the Conv1d and ReLU modules. how solve this problem?? but when I follow the official verification I ge Switch to another directory to run the script. If you are using Anaconda Prompt , there is a simpler way to solve this. conda install -c pytorch pytorch 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. Given a Tensor quantized by linear (affine) per-channel quantization, returns a Tensor of scales of the underlying quantizer. This is a sequential container which calls the Conv 3d, Batch Norm 3d, and ReLU modules. the range of the input data or symmetric quantization is being used. Dequantize stub module, before calibration, this is same as identity, this will be swapped as nnq.DeQuantize in convert. # import torch.nn as nnimport torch.nn as nn# Method 1class LinearRegression(nn.Module): def __init__(self): super(LinearRegression, self).__init__() # s 1.PyTorchPyTorch?2.PyTorchwindows 10PyTorch Torch Python Torch Lua tensorflow the values observed during calibration (PTQ) or training (QAT). File "", line 1027, in _find_and_load Given a Tensor quantized by linear (affine) per-channel quantization, returns the index of dimension on which per-channel quantization is applied. Default qconfig for quantizing weights only. nvcc fatal : Unsupported gpu architecture 'compute_86' mapped linearly to the quantized data and vice versa Is this is the problem with respect to virtual environment? Default qconfig for quantizing activations only. Solution Switch to another directory to run the script. Default qconfig configuration for debugging. This module contains BackendConfig, a config object that defines how quantization is supported FAILED: multi_tensor_scale_kernel.cuda.o Please, use torch.ao.nn.qat.modules instead. What video game is Charlie playing in Poker Face S01E07? Note that operator implementations currently only Powered by Discourse, best viewed with JavaScript enabled. Is Displayed During Distributed Model Training. host : notebook-u2rxwf-943299-7dc4df46d4-w9pvx.hy I have installed Python. I'll have to attempt this when I get home :), How Intuit democratizes AI development across teams through reusability. Now go to Python shell and import using the command: arrays 310 Questions This module implements the quantized versions of the functional layers such as Check the install command line here[1]. 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. This is the quantized equivalent of LeakyReLU. What Do I Do If the Error Message "TVM/te/cce error." A ConvBn2d module is a module fused from Conv2d and BatchNorm2d, attached with FakeQuantize modules for weight, used in quantization aware training. This is the quantized version of InstanceNorm3d. A Conv3d module attached with FakeQuantize modules for weight, used for quantization aware training. The PyTorch Foundation is a project of The Linux Foundation. Observer that doesn't do anything and just passes its configuration to the quantized module's .from_float(). Dynamic qconfig with weights quantized per channel. ~`torch.nn.functional.conv2d` and torch.nn.functional.relu. . Given a Tensor quantized by linear(affine) quantization, returns the scale of the underlying quantizer(). I have also tried using the Project Interpreter to download the Pytorch package. nvcc fatal : Unsupported gpu architecture 'compute_86' [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. Propagate qconfig through the module hierarchy and assign qconfig attribute on each leaf module, Default evaluation function takes a torch.utils.data.Dataset or a list of input Tensors and run the model on the dataset. The text was updated successfully, but these errors were encountered: Hey, is kept here for compatibility while the migration process is ongoing. Learn more, including about available controls: Cookies Policy. What Do I Do If the Error Message "Op type SigmoidCrossEntropyWithLogitsV2 of ops kernel AIcoreEngine is unsupported" Is Displayed? to your account. A dynamic quantized linear module with floating point tensor as inputs and outputs. Weboptim ="adamw_torch"TrainingArguments"adamw_hf" Huggingface TrainerTrainingArguments 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. If you are adding a new entry/functionality, please, add it to the As a result, an error is reported. An example of data being processed may be a unique identifier stored in a cookie. [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 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. Base fake quantize module Any fake quantize implementation should derive from this class. A linear module attached with FakeQuantize modules for weight, used for dynamic quantization aware training.

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