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```
class MyModel(tf.keras.Model):
def __init__(self, vocab_size, embedding_dim, rnn_units):
super().__init__(self)
self.embedding = tf.keras.layers.Embedding(vocab_size, embedding_dim)
…
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GRU operation in circle can be defined in two ways. During conversion from Keras, it may be converted into :
- Single "Custom" GRU operation as in (onert-micro) https://github.com/Samsung/ONE/pul…
-
```
Torch - 0.4.1
scikit-image - 0.13.1
Python - 3.5.2
```
When running `python3 main.py --mode test_TPN`, I get the following error using the above mentioned configurations:
```
Traceback …
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@tdhock this is the outline of my new paper, can you give me some feedbacks
# Learning Penalty Parameters for Optimal Partitioning via Automatic Feature Extraction
## Abstract
Changepoint detec…
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Hi,
are there any plans to add cuDNN-accelerated versions of LSTM and GRU to the PyTorch backend? Without cuDNN acceleration, the LSTM and GRU are considerably (several times) slower, even when run…
foxik updated
3 months ago
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I want to use my model to decompression and compression.But It maybe needs to know the content of these files ?
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# Remember TorchRL: the state of memory in TorchRL
Hello! This is a discussion post to recap the state of memory models in TorchRL: what's doable, what's not doable, what is the way to do things, a…
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This issue collects a wishlist of de-novo implementations of torch based models.
Anyone can suggest models to implement, we will have to prioritize along a impact/cost analysis.
FYI @fnhirwa.
C…
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作者，您好，我在您的代码的基础上添加新模型BiGRU
def build_model(self, trainset_shape, model_name='Keras model', model_file=None):
"""
Build Keras model, eg. 'GRU', 'LSTM', 'DNN', 'BPNN', 'CUDNNLSTM', 'C…