Hi@LarsKue- Thanks for reporting this issue. I am also reproducing the issue. Here is the breakdown of all warnings and error for all backends. For JAX Backend: JAX support parallelize operation. So when running above code with JAX backend you can use use_multiprocessing=False. Find more de...
The duplicated data created by multiple generators downgrades the performance of the model. I either have to set use_multiprocessing to false (or use less workers than my CPU core) and tolerate the slow progress, or I have to increase the steps_per_epoch so duplicates are less likely to oc...
linux-docs / build-docs-functorch-false Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: pytorch/test-infra/.github/actions/setup-ssh@main, malfet/checkout@silent-checkout, seemethere/download-artifact-s3@v4. For more information see: https://gith...
mirrored_strategy.scope():model=keras.models.Sequential([keras.layers.GRU(128,return_sequences=True,input_shape=[None,max_id+1],use_bias=False),keras.layers.GRU(128,return_sequences=True,use_bias=False),keras.layers.GRU(128,use_bias=False),keras.layers.Flatten(),keras.layers.Dense(output_...
(self,u) self.first_time_flag = False def run(self): self.mycef.run() def MainPopAD_p(): print('start Myad_p process') ctr = webCtr() ctr.run() def main(): #Use Process to open cef3 p_one = Process(target=MainPopAD_p) p_one.start() if __name__ == '__main__': ...
(port)if__name__=='__main__':freeze_support()manager=Manager()mitmproxy_flag=manager.dict({'start':False})mitmproxy_process=Process(target=start_mitmproxy,args=(18080,mitmproxy_flag,))mitmproxy_process.daemon=Truemitmproxy_process.start()whileTrue:ifmitmproxy_flag['start']:breaktime.sleep(1)...
PyTorch version: 2.4.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 20.04.5 LTS (x86_64) GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 Clang version: Could not collect CMake version: Could not collect Libc version...
I have verified that each hastorch.cuda.is_initialized()returningFalsefor me at the end of the cell. unfortunately I am still getting the sameCannot re-initialize CUDA in forked subprocess.error in the title. File ~/path/python3.8/site-packages/accelerate/launchers.py:122, in notebook_launch...
(self,params,lr=required,momentum=0.9,use_nesterov=False,weight_decay=0.0,exclude_from_weight_decay=None,exclude_from_layer_adaptation=None,classic_momentum=True,eeta=EETA_DEFAULT, ):"""Constructs a LARSOptimizer.Args:lr: A `float` for learning rate.momentum: A `float` for momentum.use_...
I am using the papermill library to run multiple notebooks using multiprocessing simultaneously. This is occurring on Python 3.6.6, Red Hat 4.8.2-15 within a Docker container. However when I run the python script, about 5% of my notebook...