使用CUDNN_STATUS_ALLOC_FAILED进行Tensorflow崩溃

Question

在网上搜索了几个小时没有结果，所以我想在这里问。

我正在尝试按照Sentdex的教程制作自动驾驶汽车，但在运行模型时，我得到了一堆致命的错误。我在互联网上搜索了解决方案，很多人似乎也遇到了同样的问题。但是，我找到的解决方案（包括this Stack-post）都不适用于我。

这是我的软件：

Tensorflow：1.5，GPU版本
CUDA：9.0，补丁
CUDnn：7
Windows 10专业版
Python 3.6

硬件：

Nvidia 1070ti，带有最新的驱动程序
英特尔i5 7600K

这是崩溃日志：

2018-02-04 16:29:33.606903: E C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\stream_executor\cuda\cuda_blas.cc:444] failed to create cublas handle: CUBLAS_STATUS_ALLOC_FAILED 2018-02-04 16:29:33.608872: E C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\stream_executor\cuda\cuda_blas.cc:444] failed to create cublas handle: CUBLAS_STATUS_ALLOC_FAILED 2018-02-04 16:29:33.609308: E C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\stream_executor\cuda\cuda_blas.cc:444] failed to create cublas handle: CUBLAS_STATUS_ALLOC_FAILED 2018-02-04 16:29:35.145249: E C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\stream_executor\cuda\cuda_dnn.cc:385] could not create cudnn handle: CUDNN_STATUS_ALLOC_FAILED 2018-02-04 16:29:35.145563: E C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\stream_executor\cuda\cuda_dnn.cc:352] could not destroy cudnn handle: CUDNN_STATUS_BAD_PARAM 2018-02-04 16:29:35.149896: F C:\tf_jenkins\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\kernels\conv_ops.cc:717] Check failed: stream->parent()->GetConvolveAlgorithms( conv_parameters.ShouldIncludeWinogradNonfusedAlgo<T>(), &algorithms)

这是我的代码：

 import tensorflow as tf
    import numpy as np
    import cv2
    import time
    from PIL import ImageGrab
    from getkeys import key_check
    from alexnet import alexnet
    import os
    from sendKeys import PressKey, ReleaseKey, W,A,S,D,Sp

    import random

    WIDTH = 80
    HEIGHT = 60
    LR = 1e-3
    EPOCHS = 10
    MODEL_NAME = 'DiRT-AI-Driver----epochs.model'.format(LR, 'alexnetv2', EPOCHS)

    def straight():
        PressKey(W)
        ReleaseKey(A)
        ReleaseKey(S)
        ReleaseKey(D)
        ReleaseKey(Sp)
    def left():
        PressKey(A)
        ReleaseKey(W)
        ReleaseKey(S)
        ReleaseKey(D)
        ReleaseKey(Sp)
    def right():
        PressKey(D)
        ReleaseKey(A)
        ReleaseKey(S)
        ReleaseKey(W)
        ReleaseKey(Sp)
    def brake():
        PressKey(S)
        ReleaseKey(A)
        ReleaseKey(W)
        ReleaseKey(D)
        ReleaseKey(Sp)
    def handbrake():
        PressKey(Sp)
        ReleaseKey(A)
        ReleaseKey(S)
        ReleaseKey(D)
        ReleaseKey(W)

    model = alexnet(WIDTH, HEIGHT, LR)
    model.load(MODEL_NAME)


    def main():
        last_time = time.time()
        for i in list(range(4))[::-1]:
            print(i+1)
            time.sleep(1)


    paused = False
    while(True):
            if not paused:
                screen = np.array(ImageGrab.grab(bbox=(0,40,1024,768)))
                screen = cv2.cvtColor(screen,cv2.COLOR_BGR2GRAY)
                screen = cv2.resize(screen,(80,60))
                print('Loop took  seconds'.format(time.time()-last_time))
                last_time = time.time()
                print('took time')
                prediction = model.predict([screen.reshape(WIDTH,HEIGHT,1)])[0]
                print('predicted')
                moves = list(np.around(prediction))
                print('got moves')
                print(moves,prediction)

                if moves == [1,0,0,0,0]:
                    straight()
                elif moves == [0,1,0,0,0]:
                    left()
                elif moves == [0,0,1,0,0]:
                    brake()
                elif moves == [0,0,0,1,0]:
                    right()
                elif moves == [0,0,0,0,1]:
                    handbrake()

            keys = key_check()

            if 'T' in keys:
                if paused:
                    pased = False
                    time.sleep(1)
                else:
                    paused = True
                    ReleaseKey(W)
                    ReleaseKey(A)
                    ReleaseKey(S)
                    ReleaseKey(D)
                    ReleaseKey(Sp)
                    time.sleep(1)


main()

我发现崩溃python并产生前三个错误的行是这一行：

prediction = model.predict([screen.reshape(WIDTH,HEIGHT,1)])[0]

运行代码时，CPU上升到100％，表明某些事情严重脱落。 GPU达到约40-50％

我已经尝试过Tensorflow 1.2和1.3，以及CUDA 8，没有好处。安装CUDA时，我没有安装特定的驱动程序，因为它们对于我的GPU太旧了。尝试了不同的CUDnn，也没有好处。

Answer 1

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Answer 2

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