无法将输入张量从CPU复制到GPU以运行GatherVe：DST张量未初始化。[作品：GatherV2] [英] Failed copying input tensor from CPU to GPU in order to run GatherVe: Dst tensor is not initialized. [Op:GatherV2]

问题描述

    from random import sample
    index=sample(range(0, len(result)), len(result)//5*4)
    description_train=[child[0] for i, child in enumerate(result) if i in index]
    ipc_train=[child[1] for i, child in enumerate(result) if i in index]
    description_test=[child[0] for i, child in enumerate(result) if i not in index]
    ipc_test=[child[1] for i, child in enumerate(result) if i not in index]
    
    import numpy as np
    
    def to_onehot(li):
        result=np.zeros(8)
        if 'A' in li:
            result[0]=1
        if 'B' in li:
            result[1]=1
        if 'C' in li:
            result[2]=1
        if 'D' in li:
            result[3]=1
        if 'E' in li:
            result[4]=1
        if 'F' in li:
            result[5]=1
        if 'G' in li:
            result[6]=1
        if 'H' in li:
            result[7]=1
        return result
            
            
    
    from tensorflow.python.keras.preprocessing.text import Tokenizer
    
    
    max_words=100000
    num_classes=8
    
    t=Tokenizer(num_words=max_words)
    t.fit_on_texts(description_train)
    X_train=t.texts_to_matrix(description_train, mode='binary')
    X_test=t.texts_to_matrix(description_test, mode='binary')
    Y_train=np.array([to_onehot(child) for child in ipc_train], dtype=np.int32)
    Y_test=np.array([to_onehot(child) for child in ipc_test], dtype=np.int32)
    
    
    from tensorflow.python.keras.models import Sequential
    from tensorflow.python.keras.layers import Dense, Dropout
    
    
    model = Sequential()
    model.add(Dense(1024, input_shape=(max_words,), activation='relu'))
    model.add(Dense(128, activation='relu'))
    model.add(Dense(num_classes, activation='sigmoid'))
    
    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
    model.fit(X_train, Y_train, batch_size=128, epochs=5, validation_split=0.1)

最后一行(Model.fit)导致以下错误。

InternalError: Failed copying input tensor from /job:localhost/replica:0/task:0/device:CPU:0 to /job:localhost/replica:0/task:0/device:GPU:0 in order to run GatherV2: Dst tensor is not initialized. [Op:GatherV2]

我如何才能修复它？ 提前谢谢您。

推荐答案

我找到了解决方案。我减少了样本数量

model.fit(X_train[0:3000], Y_train[0:3000], batch_size=128, epochs=5, validation_split=0.1)

然后，错误消失。

祝大家好运。

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