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DeepRNN的forward()中,使用了两个for loop:
for layer in range(self.num_layers):
for step in range(seq_len):
...
意思是每层会把整个sequence都处理完,才传到下层。
但 pytorch 的文档显示,它们使用刚好相反的方式。
https://pytorch…
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Hello,
When loading weights from a pretrained PyTorch model using the `VarBuilder::get` method, I've noticed that most of the loaded weights for different layers match correctly, except for a 2 lay…
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We have a usecase where we're implementing DeepSpeech2 model in Flax. DeepSpeech2 is an older speech recognition model based on RNN style layers (Bi-LSTMs used commonly)
flax doesn't have Bi-LSTMs…
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I am getting valuerror on my Juypter Lab and Vscode. This only work on Coblab.
ValueError: Unrecognized keyword arguments passed to Embedding: {'batch_input_shape': [32, None]}
def build_model(…
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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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### 🐛 Describe the bug
import numpy as np
import torch
import os
import torch
# Might not be necessary
os.environ.setdefault("KMP_DUPLICATE_LIB_OK", "True")
#import pytorch_GRU
#import qua…
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Will TensorFlow Probability supports Bayesian RNN layers like LSTM or GRU layers with random kernel, bias, recurrent_kernel, recurrent_bias in the foreseeable future?
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Hello,
thanks for publishing your code.
One thing that I have noticed is that both current config files assign the value one to the num_rnn_layers parameter, i.e., encoder and decoder of DCRNN con…
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File "/usr/lib/python2.7/site-packages/tflearn/__init__.py", line 21, in
from .layers import normalization
File "/usr/lib/python2.7/site-packages/tflearn/layers/__init__.py", line 10, in
…
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Hi,
Thanks for your code again. I changed the number of layers from 3 to 1 for my data. and when I want to test the retrained model, I got this error. "RuntimeError: Error(s) in loading state_dict fo…