Question

我正在尝试在我的 M1 MacBook Pro 上使用 Tensorflow。我对计算机科学很陌生，正在学习在线教程，一切都很顺利，直到教程让我使用 .predict。这是代码：

import tensorflow as tf
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt

data = keras.datasets.fashion_mnist

(train_images, train_labels), (test_images, test_labels) = data.load_data()

class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',
               'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']

train_images = train_images / 255.0
test_images = test_images / 255.0

model = keras.Sequential([
    keras.layers.Flatten(input_shape=(28, 28)),
    keras.layers.Dense(128, activation="relu"),
    keras.layers.Dense(10, activation="softmax")
])

model.compile(optimizer="adam", loss="sparse_categorical_crossentropy", metrics=["accuracy"])

model.fit(train_images, train_labels, epochs=5)

test_loss, test_acc = model.evaluate(test_images, test_labels)

print('\nTest accuracy:', test_acc)

predictions = model.predict(test_imaages)

plt.figure(figsize=(5, 5))
for i in range(5):
    plt.grid(False)
    plt.imshow(test_images[i], cmap=plt.cm.binary)
    plt.xlabel(class_names[test_labels[i]])
    plt.title(class_names[np.argmax(predictions[i])])
    plt.show()

这里是错误：

2021-06-24 19:19:16.963609: I tensorflow/compiler/tf2mlcompute/kernels/mlc_subgraph_op.cc:326] Compute: Failed in processing TensorFlow graph sequential/MLCSubgraphOp_2_0 with frame_id = 0 and iter_id = 0 with error: Internal: ExecuteMLCInferenceGraph: Failed to execute MLC inference graph. (error will be reported 5 times unless TF_MLC_LOGGING=1).
2021-06-24 19:19:16.965871: F tensorflow/core/framework/op_kernel.cc:983] Check failed: outputs_[index].tensor == nullptr (0x15a2d3050 vs. nullptr)

Process finished with exit code 134 (interrupted by signal 6: SIGABRT)

为了安装 TensorFlow，我按照说明 here

我能做些什么来解决这个问题吗？

如何使用 .predict M1 Mac 解决 Tensorflow 检查失败

0 个答案: