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F ./tensorflow/core/util/cuda_launch_config.h:127] Check failed: work_element_count > 0 (0 vs. 0)

See original GitHub issue

my computer get two gpus，it’ s normal if i don’t add this code in the context. model = keras.utils.training_utils.multi_gpu_model(base_model, gpus=2) however, it will use only one to compute, i don’t understand what’s it means ‘work_element_count > 0’. is it that i have not cleared the cuda worker before ?

Issue Analytics

State:
Created 5 years ago
Reactions:10
Comments:16

Top GitHub Comments

2reactions

ashwinijoshigithubcommented, Aug 31, 2018

@mahaishou This issue was resolved when I upgraded tensorflow-gpu version to 1.9.0.

1reaction

mahaishoucommented, Aug 31, 2018

@qiuyinglin control the number of one epoch input. I use keras to train model, just like this history = multi_model.fit(X_train, Y_train, batch_size=batch_size, epochs=1, validation_data = (X_test, Y_test)) X_train is my input data, so just control the length of X_train.