Meaning of "in_memory_percentage" config parameter

[KDuzinkiewicz]

The config file documentation mentions that:
"...in_memory_percentage: (float) Percentage of the dataset to load into memory, useful when dataset requires more memory than available..."

Does it mean that if I set the value to "1.00" the training toolchain will try load 100% of the recordings to memory?
And when I set it to "0.10" the training toolchain will try load only 10% of the recordings to memory at first, but later it will eventually load the other 90% during subsequent iterations - or it will just use 10% in total and ignore the other 90%?

[MeiGM]

How did you train this model, I follow the author's code, the following error will occur
Using Theano backend.
E:\anaconda\lib\site-packages\theano\gpuarray\dnn.py:184: UserWarning: Your cuDNN version is more recent than Theano. If you encounter problems, try updating Theano or downgrading cuDNN to a version >= v5 and <= v7.
warnings.warn("Your cuDNN version is more recent than "
Using cuDNN version 7401 on context None
Mapped name None to device cuda: GeForce GTX 1060 (0000:01:00.0)
Traceback (most recent call last):
File "main.py", line 169, in
main()
File "main.py", line 165, in main
inference(config, cla)
File "main.py", line 108, in inference
load_checkpoint=cla.load_checkpoint, print_model_summary=cla.print_model_summary)
File "E:\speech-denoising-wavenet-master\models.py", line 67, in init
self.model = self.setup_model(load_checkpoint, print_model_summary)
File "E:\speech-denoising-wavenet-master\models.py", line 76, in setup_model
model = self.build_model()
File "E:\speech-denoising-wavenet-master\models.py", line 220, in build_model
name='data_input_target_field_length')(data_expanded)
File "E:\anaconda\lib\site-packages\keras\engine\base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "E:\speech-denoising-wavenet-master\layers.py", line 47, in call
x = keras.backend.permute_dimensions(x, [0, 2, 1])
File "E:\anaconda\lib\site-packages\keras\backend\theano_backend.py", line 936, in permute_dimensions
y._keras_shape = tuple(np.asarray(x._keras_shape)[list(pattern)])
IndexError: index 2 is out of bounds for axis 0 with size 2

[KDuzinkiewicz]

Hi, I followed the instructions on the GitHub and didn't run into same issue as you, sorry :( Regards Karol śr., 13 mar 2019, 08:53 użytkownik 梦想好 <[email protected]> napisał:

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How did you train this model, I follow the author's code, the following error will occur Using Theano backend. E:\anaconda\lib\site-packages\theano\gpuarray\dnn.py:184: UserWarning: Your cuDNN version is more recent than Theano. If you encounter problems, try updating Theano or downgrading cuDNN to a version >= v5 and <= v7. warnings.warn("Your cuDNN version is more recent than " Using cuDNN version 7401 on context None Mapped name None to device cuda: GeForce GTX 1060 (0000:01:00.0) Traceback (most recent call last): File "main.py", line 169, in main() File "main.py", line 165, in main inference(config, cla) File "main.py", line 108, in inference load_checkpoint=cla.load_checkpoint, print_model_summary=cla.print_model_summary) File "E:\speech-denoising-wavenet-master\models.py", line 67, in *init* self.model = self.setup_model(load_checkpoint, print_model_summary) File "E:\speech-denoising-wavenet-master\models.py", line 76, in setup_model model = self.build_model() File "E:\speech-denoising-wavenet-master\models.py", line 220, in build_model name='data_input_target_field_length')(data_expanded) File "E:\anaconda\lib\site-packages\keras\engine\base_layer.py", line 457, in *call* output = self.call(inputs, **kwargs) File "E:\speech-denoising-wavenet-master\layers.py", line 47, in call x = keras.backend.permute_dimensions(x, [0, 2, 1]) File "E:\anaconda\lib\site-packages\keras\backend\theano_backend.py", line 936, in permute_dimensions y._keras_shape = tuple(np.asarray(x._keras_shape)[list(pattern)]) IndexError: index 2 is out of bounds for axis 0 with size 2 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#29 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ASvhHsQE6xYpEXDuYVATdkxpE2o5WE86ks5vWK6NgaJpZM4aH1z2> .