Compute: No MLCTrainingGraph has been found.
vicky8989 opened this issue · comments
enviroment:macos tensorflow 2.4.0-rc0 ,python3.8
problem: get error, Compute: No MLCTrainingGraph has been found.
is my tensorflow version not match? otherwise gpu mode is failed? do anyone meet the same problem?
i can run some test code,like bellow:
import tensorflow as tf
import time
Import mlcompute module to use the optional set_mlc_device API for device selection with ML Compute.
from tensorflow.python.compiler.mlcompute import mlcompute
mlcompute.set_mlc_device(device_name = 'gpu')
mnist = tf.keras.datasets.mnist
(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
start = time.time()
model.fit(x_train, y_train, epochs=10)
end = time.time()
model.evaluate(x_test, y_test)
print("time consumed: ", end - start)