私はこの問題を抱えており、多くの人が聞いたことがあることを知っています。GTX 1050 Ti を搭載したラップトップから RTX 3060 Ti を搭載した PC にアップグレードしました。Anaconda 仮想環境ですべてを実行しています。環境をラップトップから PC にコピーしました。現在、TensorFlow GPU の起動には多くの時間がかかります。2行のコードを書いても：
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
時間がかかります（30分以上）。同じことが、GTX 1050 Ti を搭載した私のラップトップでも完全に機能します。私はたくさんのものを試しました：
- すべてのパッケージを別の環境に再インストールします (もちろん、同じバージョン - 私は TF 2.1、cudnn 7.6.5、cudatoolkit 10.1.243 を使用しています)。
- プログラムの前に数行のコードを配置します (10 以上の異なる可能性を試しました)。
- GPUドライバーをクリーンに再インストールします。
TensorFlow の起動後、RTX 3060 Ti は正常に動作し、非常に高速にトレーニングされます。私はたくさんグーグルで検索しましたが、私の場所にはまだたくさんの人がいることがわかったので、すぐに答えを期待していません:)。
とにかく、誰かが答えを見つけることができたら、私と共有してください! 前もって感謝し、素晴らしい一日を！
PS コードまたはコンソール ログが必要な場合は、こちらをご覧ください。簡単な MNIST プログラムを作成しました。
from tensorflow.keras.datasets import mnist
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D
from tensorflow.keras.layers import MaxPooling2D
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Flatten
from tensorflow.keras.optimizers import SGD
from numpy import mean
from numpy import std
from matplotlib import pyplot as plt
from sklearn.model_selection import KFold
# Load and prepare the train and test set
def load_dataset():
# Load the dataset
(trainX, trainY), (testX, testY) = mnist.load_data()
# Reshape the dataset to have a single channel
trainX = trainX.reshape((trainX.shape[0], 28, 28, 1))
testX = testX.reshape((testX.shape[0], 28, 28, 1))
# One hot encode target values
trainY = to_categorical(trainY)
testY = to_categorical(testY)
return trainX, trainY, testX, testY
# Scale pixels
def prep_pixels(train, test):
# Convert from integers to float
train_norm = train.astype('float32')
test_norm = test.astype('float32')
# Normalize to range 0-1
train_norm = train_norm / 255.0
test_norm = test_norm / 255.0
return train_norm, test_norm
# Define the CNN classifier
def define_classifier():
# Build the structure
classifier = Sequential()
classifier.add(Conv2D(32, (3, 3), activation = 'relu', input_shape = (28, 28, 1)))
classifier.add(MaxPooling2D(pool_size = (2, 2)))
classifier.add(Conv2D(64, (3, 3), activation = 'relu'))
classifier.add(Conv2D(64, (3, 3), activation = 'relu'))
classifier.add(MaxPooling2D((2, 2)))
classifier.add(Flatten())
classifier.add(Dense(100, activation = 'relu'))
classifier.add(Dense(10, activation = 'softmax'))
# Compile the model
classifier.compile(optimizer = SGD(lr = 0.01, momentum = 0.9), loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return classifier
# Evaluate the classifier using the K-Fold Cross-Validation
def evaluate_classifier(dataX, dataY, n_folds = 5):
scores, histories = list(), list()
# Prepare Cross-Validation
kfold = KFold(n_folds, shuffle = True, random_state = 1)
# Enumerate splits
for trainX_i, testX_i in kfold.split(dataX):
# Define classifier
classifier = define_classifier()
# Select rows for train and test
trainX, trainY, testX, testY = dataX[trainX_i], dataY[trainX_i], dataX[testX_i], dataY[testX_i]
# Fit the classifier
history = classifier.fit(trainX, trainY, batch_size = 32, epochs = 10,
validation_data = (testX, testY), verbose = 1)
# Evaluate the classifier
_, acc = classifier.evaluate(testX, testY, verbose = 1)
print('> ACC: %.3f' % (acc * 100.0))
# Store history, accuracy
scores.append(acc)
histories.append(history)
return scores, histories
# Plot learning curves
def visualise_learning(histories):
for i in range(len(histories)):
plt.tight_layout()
# Plot LOSS
plt.subplot(2, 1, 1)
plt.title('Cross-Entropy Loss')
plt.plot(histories[i].history['loss'], color = 'blue', label = 'train')
plt.plot(histories[i].history['val_loss'], color = 'orange', label = 'test')
# Plot ACCURACY
plt.subplot(2, 1, 2)
plt.title('Classification Accuracy')
plt.plot(histories[i].history['accuracy'], color = 'blue', label = 'train')
plt.plot(histories[i].history['val_accuracy'], color = 'orange', label = 'test')
plt.show()
# Summarize classifier performance
def summarize_performance(scores):
print('Accuracy: mean=%.3f std=%.3f, n=%d' % (mean(scores) * 100, std(scores) * 100, len(scores)))
# Run all parts together
def run():
trainX, trainY, testX, testY = load_dataset()
trainX, testX = prep_pixels(trainX, testX)
scores, histories = evaluate_classifier(trainX, trainY)
visualise_learning(histories)
summarize_performance(scores)
def save_model():
trainX, trainY, testX, testY = load_dataset()
trainX, testX = prep_pixels(trainX, testX)
classifier = define_classifier()
classifier.fit(trainX, trainY, epochs = 25, batch_size = 32, verbose = 1)
classifier.save('final_classifier.h5')
##############################################################################################################
# make a prediction for a new image.
from tensorflow.keras.preprocessing.image import load_img
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.models import load_model
# load and prepare the image
def load_image(filename):
# load the image
img = load_img(filename, grayscale=True, target_size=(28, 28))
# convert to array
img = img_to_array(img)
# reshape into a single sample with 1 channel
img = img.reshape(1, 28, 28, 1)
# prepare pixel data
img = img.astype('float32')
img = img / 255.0
return img
# load an image and predict the class
def run_example():
# load the image
img = load_image('image.png')
# load model
model = load_model('final_classifier.h5')
# predict the class
digit = model.predict_classes(img)
print(digit[0])
# entry point, run the example
#run_example()
run()
そして、ここにコンソールログがあります:
Python 3.7.9 (default, Aug 31 2020, 17:10:11) [MSC v.1916 64 bit (AMD64)]
Type "copyright", "credits" or "license" for more information.
IPython 7.19.0 -- An enhanced Interactive Python.
runcell(0, 'C:/Python/Projects/Handwritten Digit Recognition/digit_recognizer.py')
2021-01-14 13:47:28.396292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:28.396292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.018731: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-01-14 13:47:31.041720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:31.041751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:28.396292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.018731: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-01-14 13:47:31.041720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:31.041751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.395981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:31.430370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:31.452057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:31.659034: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:31.837570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.055598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.056116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:47:28.396292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.018731: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-01-14 13:47:31.041720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:31.041751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.395981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:31.430370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:31.452057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:31.659034: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:31.837570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.055598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.056116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:47:32.652696: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2021-01-14 13:47:32.655023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:32.655039: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:32.655046: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:32.655051: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:32.655057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:32.655062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:32.655067: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.655072: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.655095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:47:28.396292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.018731: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-01-14 13:47:31.041720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:31.041751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.395981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:31.430370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:31.452057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:31.659034: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:31.837570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.055598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.056116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:47:32.652696: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2021-01-14 13:47:32.655023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:32.655039: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:32.655046: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:32.655051: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:32.655057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:32.655062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:32.655067: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.655072: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.655095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:50:57.038023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-01-14 13:50:57.038040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] 0
2021-01-14 13:50:57.038045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0: N
2021-01-14 13:50:57.039526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6699 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3060 Ti, pci bus id: 0000:01:00.0, compute capability: 8.6)
Train on 48000 samples, validate on 12000 samples
Epoch 1/10
2021-01-14 13:47:28.396292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.018731: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-01-14 13:47:31.041720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:31.041751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.395981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:31.430370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:31.452057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:31.659034: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:31.837570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.055598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.056116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:47:32.652696: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2021-01-14 13:47:32.655023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:32.655039: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:32.655046: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:32.655051: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:32.655057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:32.655062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:32.655067: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.655072: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.655095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:50:57.038023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-01-14 13:50:57.038040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] 0
2021-01-14 13:50:57.038045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0: N
2021-01-14 13:50:57.039526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6699 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3060 Ti, pci bus id: 0000:01:00.0, compute capability: 8.6)
2021-01-14 13:50:57.563527: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:28.396292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.018731: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-01-14 13:47:31.041720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:31.041751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.395981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:31.430370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:31.452057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:31.659034: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:31.837570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.055598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.056116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:47:32.652696: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2021-01-14 13:47:32.655023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:32.655039: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:32.655046: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:32.655051: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:32.655057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:32.655062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:32.655067: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.655072: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.655095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:50:57.038023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-01-14 13:50:57.038040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] 0
2021-01-14 13:50:57.038045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0: N
2021-01-14 13:50:57.039526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6699 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3060 Ti, pci bus id: 0000:01:00.0, compute capability: 8.6)
2021-01-14 13:50:57.563527: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:52:17.763274: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
7232/48000 [===>..........................] - ETA: 1:21:26 - loss: 2.3010 - accuracy: 0.1114
2021-01-14 13:47:28.396292: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.018731: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2021-01-14 13:47:31.041720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:31.041751: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:31.395981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:31.430370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:31.452057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:31.659034: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:31.837570: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.055598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.056116: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:47:32.652696: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2021-01-14 13:47:32.655023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce RTX 3060 Ti computeCapability: 8.6
coreClock: 1.8GHz coreCount: 38 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
2021-01-14 13:47:32.655039: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2021-01-14 13:47:32.655046: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:47:32.655051: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2021-01-14 13:47:32.655057: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2021-01-14 13:47:32.655062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2021-01-14 13:47:32.655067: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2021-01-14 13:47:32.655072: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 13:47:32.655095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2021-01-14 13:50:57.038023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-01-14 13:50:57.038040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] 0
2021-01-14 13:50:57.038045: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0: N
2021-01-14 13:50:57.039526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6699 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3060 Ti, pci bus id: 0000:01:00.0, compute capability: 8.6)
2021-01-14 13:50:57.563527: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2021-01-14 13:52:17.763274: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2021-01-14 14:05:23.645822: W tensorflow/stream_executor/gpu/redzone_allocator.cc:312] Internal: Invoking GPU asm compilation is supported on Cuda non-Windows platforms only
Relying on driver to perform ptx compilation. This message will be only logged once.
48000/48000 [==============================] - 869s 18ms/sample - loss: 2.3019 - accuracy: 0.1101 - val_loss: 2.3014 - val_accuracy: 0.1144
「Adding visible gpu devices: 0」という行の後、その後動的ライブラリを開くのにかなりの時間がかかりました。