from keras.utils.multi_gpu_utils import multi_gpu_model 如果你使用的是TensorFlow 2.x自带的tf.keras,则需要注意tf.keras的API可能与独立的Keras库有所不同。在tf.keras中,没有直接的multi_gpu_model函数,但你可以使用tf.distribute.Strategy来实现类似的功能。 更新代码以反映API变化: 如果你的代码是基于旧...
I get the same thing with the normal keras repo (though it looks like it's been moved tofrom keras.utils.multi_gpu_utils import multi_gpu_model Though, importing this function also gives a similar error, from the tensorflow-kerasImportError: cannot import name 'multi_gpu_model' from 'tenso...
keras多gpu训练 2019-12-05 10:21 − 使用multi_gpu_model即可。观察了一下GPU的利用率,非常的低,大部分时候都是0,估计在相互等待,同步更新模型; 当然了,使用多GPU最明显的好处是可以使用更大的batch size import tensorflow as tf from keras.applications impo... 牧马人夏峥 0 1223 < 1 2 3 > ...
File "D:\Anaconda install\lib\site-packages\tensorflow\python\keras\utils\multi_gpu_utils.py", line 22, in <module> from tensorflow.python.keras.engine.training import Model File "D:\Anaconda install\lib\site-packages\tensorflow\python\keras\engine\training.py", line 40, in <module> from te...
GPU model and memory d Current Behaviour? A bug happened!import tensorflow as tf print(tf.__version__) help(tf.keras) Standalone code to reproduce the issue /home/wzy/anaconda3/envs/tensorflow-2.6/bin/python 2.6.0 cannot import name'dtensor' ...
check_model.py import sys import onnx filename = yourONNXmodel model = onnx.load(filename) onnx.checker.check_model(model). 2) Try running your model with trtexec command. github.com TensorRT/samples/trtexec at master · NVIDIA/TensorRT ...
from keras.utils import multi_gpu_modelfrom keras.models import Modelfrom keras.layers import Input, Dense a = Input(shape=(32,))b = Dense(32)(a)model = Model(inputs=a, outputs=b) config = model.get...
File "D:\Anaconda install\lib\site-packages\tensorflow\python\keras\utils\multi_gpu_utils.py", line 22, in <module> from tensorflow.python.keras.engine.training import Model File "D:\Anaconda install\lib\site-packages\tensorflow\python\keras\engine\training.py", line 40, in <module> ...
The functions I need to import are: from tensorflow.keras.models import Model from tensorflow.keras.layers import Input, Dense from tensorflow.keras.optimizers import Adam from tensorflow.keras.utils import plot_model, multi_gpu_model and I have to change them to the codes below to successfully ...
.Dense(10, activation='softmax', name="output") model.add(tf.keras.Input(shape=(28,28, 1), name="digit")) model.add(couche0) model.add(couche1) model.add(couche2) model.add(couche3) model.add(couche4) model.add(couche5) model.add(couche6) model.add(couche7) return model ...