amitesh863 / nbeats_forecast Goto Github PK
View Code? Open in Web Editor NEWN-Beats library implementation
License: MIT License
N-Beats library implementation
License: MIT License
When training a new model, "checkpoint_file_name" kwarg needs to be set (or model.CHECKPOINT_NAME set directly). Leaving it at default value can produce host of size mismatch errors that don't give information as to what's going on. Suggest raising error in that case instead of allowing "RuntimeError" via torch.
initiating model produces the following error:
init() takes from 4 to 6 positional arguments but 7 were given
can you please look into it?
using mode="cuda"
gives
| N-Beats
| -- Stack Generic (#0) (share_weights_in_stack=False)
| -- GenericBlock(units=128, thetas_dim=7, backcast_length=36, forecast_length=12, share_thetas=False) at @2157678533888
| -- GenericBlock(units=128, thetas_dim=7, backcast_length=36, forecast_length=12, share_thetas=False) at @2157678534032
| -- GenericBlock(units=128, thetas_dim=7, backcast_length=36, forecast_length=12, share_thetas=False) at @2157678534128
| -- Stack Generic (#1) (share_weights_in_stack=False)
| -- GenericBlock(units=128, thetas_dim=8, backcast_length=36, forecast_length=12, share_thetas=False) at @2157678533072
| -- GenericBlock(units=128, thetas_dim=8, backcast_length=36, forecast_length=12, share_thetas=False) at @2157532770560
| -- GenericBlock(units=128, thetas_dim=8, backcast_length=36, forecast_length=12, share_thetas=False) at @2157532720288
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
c:\Users\UserName\development\pythonDev\Stonks\tryingNBEATSforcast.ipynb Cell 4' in <cell line: 3>()
1 model = NBeats(data=train, period_to_forecast=12,mode="cuda")
2 # model.fit(optimiser=)
----> 3 model.fit(optimiser=Adam(model.parameters, lr=0.001, betas=(0.9, 0.999), eps=1e-08, weight_decay=0.01, amsgrad=False),plot=False)
4 forecast = model.predict()
File c:\Users\UserName\AppData\Local\Programs\Python\Python38\lib\site-packages\nbeats_forecast\nbeats_forecast.py:213, in NBeats.fit(self, epoch, optimiser, plot, verbose)
211 test_losses = []
212 for i in range(self.epoch):
--> 213 self.eval_test(test_losses, x_test, y_test)
214 self.train_100_grad_steps(train_data, test_losses)
215 if self.check_save:
File c:\Users\UserName\AppData\Local\Programs\Python\Python38\lib\site-packages\nbeats_forecast\nbeats_forecast.py:167, in NBeats.eval_test(self, test_losses, x_test, y_test)
165 self.net.eval()
166 _, forecast = self.net(torch.tensor(x_test, dtype=torch.float))
--> 167 test_losses.append(F.mse_loss(forecast, torch.tensor(y_test, dtype=torch.float)).item())
168 p = forecast.detach().numpy()
169 if self.plot:
File c:\Users\UserName\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\nn\functional.py:3262, in mse_loss(input, target, size_average, reduce, reduction)
3259 reduction = _Reduction.legacy_get_string(size_average, reduce)
3261 expanded_input, expanded_target = torch.broadcast_tensors(input, target)
-> 3262 return torch._C._nn.mse_loss(expanded_input, expanded_target, _Reduction.get_enum(reduction))
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
As declared in nbeats_forecast.py , from nbeats_pytorch.model import NBeatsNet
But I can't find the model.py
to see the code of NBeatsNet.
model = NBeats(data=data, period_to_forecast=194, train_percent=0.75)
This code used to work but now it won't. Is this beacause of using wrong version of packages?
In data_generator
, you define a split() method to split data into multiple batches, but the while condition len(arr) > size
is incorrect because arr = (x_full, y_full) which means len(arr) is equal to 2 forever. I found this bug when I debug into your code. Besides, I can't find the definition of the model, could you please show me your complete code in github.
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