Deep learning training task management and control method and device based on copy mode
A technology of deep learning and task control, applied in the direction of neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as spending a lot of time and energy, and achieve the effect of improving efficiency, good management, and clear management logic
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Embodiment 1
[0055] Such as Figure 1-Figure 2 As shown, the present invention provides a deep learning training task management and control method based on replica mode, including:
[0056] S1, binding the deep learning training task input by the user with the copy of the training task;
[0057] S2, the monitoring module monitors the copy of the training task, and sends a control command according to the operation input by the user;
[0058] S3. The execution module receives the control instruction sent by the monitoring module, processes the deep learning training task according to the control instruction, and returns the processing result to the monitoring module.
[0059] Among them, such as image 3 As shown, step S1 specifically includes:
[0060] S11. Obtain the parameter information of the deep learning training task input by the user;
[0061] S12. Generate and save a training task copy of the corresponding training task according to the deep learning training task parameter i...
Embodiment 2
[0079] Such as Figure 6 As shown, the technical solution of the present invention also provides a deep learning training task management and control device based on replica mode, including:
[0080] Binding unit 101, binding the deep learning training task input by the user with the copy of the training task;
[0081] The monitoring unit 102, the monitoring module monitors the copy of the training task, and sends a control instruction according to the operation input by the user;
[0082] The execution unit 103, the execution module receives the control instruction sent by the monitoring module, processes the deep learning training task according to the control instruction, and returns the processing result to the monitoring module.
[0083] Among them, such as Figure 7 As shown, the binding unit 101 specifically includes:
[0084] The acquisition subunit 1011 acquires the parameter information of the deep learning training task input by the user;
[0085] The generating...
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