如何解决如何在google colab上安装python3.8和tensorflow-gpu==2.4
以下是我遵循的步骤，但我无法使 tensorflow 正常工作...................................... ………………………………………………………………………………………………………………………………………………………… ………………………………………………………………………………………………………………………………………………………… ……
安装python3.8
!sudo add-apt-repository ppa:deadsnakes/ppa
!sudo apt-get update
!sudo apt-get install python3.8
!sudo apt install python3.8-distutils
!sudo apt install python3.8-venv python3.8-dev
!sudo apt-get install python3-pip
!python3.8 -m pip install -U pip setuptools
安装 tensorflow
!python3.8 -m pip install tensorflow tensorflow-gpu
!python3.8 -c 'import tensorflow'
输出：
2021-01-05 03:06:33.030994: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2021-01-05 03:06:33.031039: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
使用 tensorflow docs
安装 cuda 11!sudo apt-get update -y
!sudo apt-get install -y libcupti-dev
!export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/extras/CUPTI/lib64
!sudo apt-get install nvidia-kernel-common-455 libnvidia-gl-455 libnvidia-fbc1-455\
libnvidia-ifr1-455 libnvidia-cfg1-455 xserver-xorg-video-nvidia-455\
libnvidia-encode-455 nvidia-utils-455 nvidia-dkms-455 libnvidia-decode-455\
nvidia-compute-utils-455 nvidia-kernel-source-455 libnvidia-extra-455\
libnvidia-compute-455 nvidia-driver-455
# Add NVIDIA package repositories
!wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
!sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
!sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
!sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
!sudo apt-get update
!wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
!sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
!sudo apt-get update
# Install NVIDIA driver
!sudo apt-get install --no-install-recommends nvidia-driver-455
# Reboot. Check that GPUs are visible using the command: nvidia-smi
!wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/libnvinfer7_7.1.3-1+cuda11.0_amd64.deb
!sudo apt install ./libnvinfer7_7.1.3-1+cuda11.0_amd64.deb
!sudo apt-get update
# Install development and runtime libraries (~4GB)
!sudo apt-get install --no-install-recommends \
cuda-11-0 \
libcudnn8=8.0.4.30-1+cuda11.0 \
libcudnn8-dev=8.0.4.30-1+cuda11.0
# Install TensorRT. Requires that libcudnn8 is installed above.
!sudo apt-get install -y --no-install-recommends libnvinfer7=7.1.3-1+cuda11.0 \
libnvinfer-dev=7.1.3-1+cuda11.0 \
libnvinfer-plugin7=7.1.3-1+cuda11.0
然后，当我使用 dqn.py 运行使用 tensorflow 的脚本 !python3.8 dqn.py 时出现此错误
or/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2021-01-05 20:58:19.951459: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices,tf_xla_enable_xla_devices not set
2021-01-05 20:58:19.952528: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2021-01-05 20:58:19.986076: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1),but there must be at least one NUMA node,so returning NUMA node zero
2021-01-05 20:58:19.986638: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5
coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s
2021-01-05 20:58:19.986691: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2021-01-05 20:58:20.006886: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2021-01-05 20:58:20.006998: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2021-01-05 20:58:20.014581: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2021-01-05 20:58:20.019778: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2021-01-05 20:58:20.031744: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2021-01-05 20:58:20.035045: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2021-01-05 20:58:20.038185: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2021-01-05 20:58:20.038305: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1),so returning NUMA node zero
2021-01-05 20:58:20.038885: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1),so returning NUMA node zero
2021-01-05 20:58:20.039409: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2021-01-05 20:58:20.039914: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices,tf_xla_enable_xla_devices not set
2021-01-05 20:58:20.040041: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1),so returning NUMA node zero
2021-01-05 20:58:20.040578: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:00:04.0 name: Tesla T4 computeCapability: 7.5
coreClock: 1.59GHz coreCount: 40 deviceMemorySize: 14.73GiB deviceMemoryBandwidth: 298.08GiB/s
2021-01-05 20:58:20.040616: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2021-01-05 20:58:20.040653: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2021-01-05 20:58:20.040677: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2021-01-05 20:58:20.040698: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2021-01-05 20:58:20.040720: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2021-01-05 20:58:20.040740: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2021-01-05 20:58:20.040759: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2021-01-05 20:58:20.040779: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2021-01-05 20:58:20.040840: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1),so returning NUMA node zero
2021-01-05 20:58:20.041448: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1),so returning NUMA node zero
2021-01-05 20:58:20.041944: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2021-01-05 20:58:20.041994: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
Traceback (most recent call last):
File "dqn.py",line 337,in <module>
mod1 = dqn_conv(en.observation_space.shape,en.action_space.n)
File "/content/models.py",line 19,in dqn_conv
x = Conv2D(32,8,4,activation='relu')(x0)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py",line 951,in __call__
return self._functional_construction_call(inputs,args,kwargs,File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py",line 1090,in _functional_construction_call
outputs = self._keras_tensor_symbolic_call(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py",line 822,in _keras_tensor_symbolic_call
return self._infer_output_signature(inputs,input_masks)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py",line 862,in _infer_output_signature
self._maybe_build(inputs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py",line 2710,in _maybe_build
self.build(input_shapes) # pylint:disable=not-callable
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/layers/convolutional.py",line 198,in build
self.kernel = self.add_weight(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer.py",line 623,in add_weight
variable = self._add_variable_with_custom_getter(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/tracking/base.py",line 805,in _add_variable_with_custom_getter
new_variable = getter(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/engine/base_layer_utils.py",line 130,in make_variable
return tf_variables.VariableV1(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py",line 260,in __call__
return cls._variable_v1_call(*args,**kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py",line 206,in _variable_v1_call
return previous_getter(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py",line 199,in <lambda>
previous_getter = lambda **kwargs: default_variable_creator(None,**kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variable_scope.py",line 2604,in default_variable_creator
return resource_variable_ops.ResourceVariable(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/variables.py",line 264,in __call__
return super(VariableMetaclass,cls).__call__(*args,**kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py",line 1574,in __init__
self._init_from_args(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/resource_variable_ops.py",line 1712,in _init_from_args
initial_value = initial_value()
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/keras/initializers/initializers_v2.py",line 409,in __call__
return super(VarianceScaling,self).__call__(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py",line 600,in __call__
return self._random_generator.random_uniform(shape,-limit,limit,dtype)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/init_ops_v2.py",line 1081,in random_uniform
return op(
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py",line 201,in wrapper
return target(*args,**kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/ops/random_ops.py",line 289,in random_uniform
shape = tensor_util.shape_tensor(shape)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_util.py",line 1035,in shape_tensor
return ops.convert_to_tensor(shape,dtype=dtype,name="shape")
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/profiler/trace.py",line 163,in wrapped
return func(*args,**kwargs)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/ops.py",line 1540,in convert_to_tensor
ret = conversion_func(value,name=name,as_ref=as_ref)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py",line 339,in _constant_tensor_conversion_function
return constant(v,name=name)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py",in constant
return _constant_impl(value,dtype,shape,name,verify_shape=False,File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py",line 276,in _constant_impl
return _constant_eager_impl(ctx,value,verify_shape)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py",line 301,in _constant_eager_impl
t = convert_to_eager_tensor(value,ctx,dtype)
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/constant_op.py",line 97,in convert_to_eager_tensor
ctx.ensure_initialized()
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/context.py",line 526,in ensure_initialized
context_handle = pywrap_tfe.TFE_NewContext(opts)
tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
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