anaconda python3.7 安装 tensorflow-gpu 2.0.0 beta1 配置PyCharm

参考tensorflow 公众号《tensorflow2.0 安装指南》

https://mp.weixin.qq.com/s/7rNXFEC5HYe91RJ0-9CKdQ

1. NVIDIA驱动程序安装

安装对应的CUDA 和 cudnn  （在tensorflow 公众号《tensorflow2.0 安装指南》得知 2.0-beta1对应CUDA 10.0 cudnn 7.6.0）

之前安装tensorflow-gpu 1.14的时候安装了CUDA 10.0 和CUDNN 7.6.1

2. anaconda 环境创建与安装

conda create --name tf2.0 python=3.7

activate tf2.0

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflow-gpu==2.0.0-beta1    ///清华源

3.测试

import tensorflow as tf

A = tf.constant([[1, 2], [3, 4]])
B = tf.constant([[5, 6], [7, 8]])
C = tf.matmul(A, B)

print(C)

输出如下，安装成功

tf.Tensor(
[[19 22]
[43 50]], shape=(2, 2), dtype=int32)

中间输出了一些提示信息

(tf2.0) C:\Users\lenovo>python
Python 3.7.6 (default, Jan  8 2020, 20:23:39) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
F:\Anaconda\envs\tf2.0\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or ‘1type‘ as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / ‘(1,)type‘.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
>>> A=tf.constant([[1,2],[3,4]])
2020-02-02 16:05:20.597693: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library nvcuda.dll
2020-02-02 16:05:23.206508: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
2020-02-02 16:05:23.215470: I tensorflow/stream_executor/platform/default/dlopen_checker_stub.cc:25] GPU libraries are statically linked, skip dlopen check.
2020-02-02 16:05:23.224739: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
2020-02-02 16:05:23.231882: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2020-02-02 16:05:23.244758: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
2020-02-02 16:05:23.259879: I tensorflow/stream_executor/platform/default/dlopen_checker_stub.cc:25] GPU libraries are statically linked, skip dlopen check.
2020-02-02 16:05:23.269339: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
2020-02-02 16:05:24.446747: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-02-02 16:05:24.456384: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      0
2020-02-02 16:05:24.460137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0:   N
2020-02-02 16:05:24.466395: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1347 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1)
>>> B=tf.constant([[1,2],[3,4]])
>>> B=tf.constant([[5,6],[7,8]])
>>> C=tf.matmul(A,B)
>>> print(C)
tf.Tensor(
[[19 22]
 [43 50]], shape=(2, 2), dtype=int32)
>>>

4. IDE设置 PyCharm

点击蓝圈处，add，选择对应的环境

原文地址：https://www.cnblogs.com/lqerio/p/12252526.html