Nafees
Nafees
I got the same issue, does anyone found the solution?
I received the same issue, if anyone has resolved the issue please share.
@chongxiaoc Thank you so much for the answer. Other than that I want to see the model convergence on The effect of shuffling the data and Without shuffling the data...
> Using n GPUs is equivalent to using nX batch size on a single GPU. Assuming you have 1000 samples, batch_size = 10. n_steps_per_epoch = 1000/ 10 =100 for a...
> @chongxiaoc Thank you so much for the answer. Other than that I want to see the model convergence on The effect of shuffling the data and Without shuffling the...
> Using n GPUs is equivalent to using nX batch size on a single GPU. Assuming you have 1000 samples, batch_size = 10. n_steps_per_epoch = 1000/ 10 =100 for a...
> `steps_per_epoch` is a pamater of keras fit function to tell how many batches to use per epoch on single GPU. Users use this paramter to explicitly force model to...
It means I can set steps_per_epoch value in the following way: `total_train_data = 1000, Batchsize=20, Number of GPUs=2 Then step_per_epoch=1000/20=50/Number of GPUs= 25 ` right?
> is a pamater of keras fit function to tell how many batches to use per epoch on single GPU. Hi @chongxiaoc I tried to modify seg_train_x to be sharded...
@Bonytu thank you for assigning me @liuzhe-lz. Hi @liuzhe-lz I am looking forward for your response. Would you please reply me in your earliest convenience. Thank you.