Comments (2)
Nevermind, I used sys.setrecursionlimit(40000) and it works fine now.
from keras.
So far I've been using cPickle to save/load models, but I'm looking into writing a fast & compact save/load function based on HDF5. Not very high on the priority list though...
from keras.
Related Issues (20)
- `failed to allocate memory` when continuously initializing `keras.applications` models in a loop. HOT 3
- Add `ops.add_n` HOT 3
- Profiling with Keras 3 HOT 1
- TypeError: Exception encountered when calling Bidirectional.call(). can only concatenate list (not "tuple") to list HOT 1
- Using `LossScaleOptimizer` with TF 2.16.1 HOT 4
- AttributeError: 'list' object has no attribute 'dtype' while using keras.utils.plot_model HOT 1
- ValueError: Exception encountered when calling RNN.call() - Undefined shapes are not supported HOT 3
- Nested ResNet50 makes layer not built without any custom layer HOT 6
- Can we use Clustering at the bottom of 3D unet in image segmentation any one plz show implementation
- Loading saved frozen model fails HOT 1
- Saving an `Optimizer` initially instantiated with a `float` learning_rate and later replaced with a `LearningRateSchedule` includes an extra Variable. HOT 1
- Enhance Error Messages for Tuple Input Validations for `IRFFT`, `FFT`, `FFT2`, `RFFT`, `ISTFT` in `keras/ops/math.py`
- Keras 3.2.1 breaks LoRA with ModelParallel HOT 6
- Enormous memory usage after batched forward passes with TensorFlow 2.16.1 (CPU) HOT 7
- model.keras deserialization outputs wrong results HOT 1
- image_dataset_from_directory: Shuffle buffer size arbitrarily set to 1024 when batch_size is None HOT 1
- TrackedList type error for appending NamedTuple HOT 4
- Error when using LearningRateSchedule in distributed context HOT 2
- Newly introduced `weights` in `Embedding` layer breaks the downstream layers such as `ReversibleEmbedding` in KerasNLP HOT 1
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from keras.