Fix unimplemented type() on TPU (#1396)
* Fix unimplemented type() on TPU * Add changelog entry * Add quotation marks
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@ -71,7 +71,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Fixed average of incomplete `TensorRunningMean` ([#1309](https://github.com/PyTorchLightning/pytorch-lightning/pull/1309))
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- Fixed `WandbLogger.watch` with `wandb.init()` ([#1311](https://github.com/PyTorchLightning/pytorch-lightning/pull/1311))
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- Fixed an issue with early stopping that would prevent it from monitoring training metrics when validation is disabled / not implemented ([#1235](https://github.com/PyTorchLightning/pytorch-lightning/pull/1235)).
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- Fixed a bug that would cause `trainer.test()` to run on the validation set when overloading `validation_epoch_end ` and `test_end` ([#1353](https://github.com/PyTorchLightning/pytorch-lightning/pull/1353)).
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- Fixed a bug that would cause `trainer.test()` to run on the validation set when overloading `validation_epoch_end` and `test_end` ([#1353](https://github.com/PyTorchLightning/pytorch-lightning/pull/1353)).
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- Fixed `WandbLogger.watch` - use of the watch method without importing `wandb` ([#1311](https://github.com/PyTorchLightning/pytorch-lightning/pull/1311))
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- Fixed `WandbLogger` to be used with 'ddp' - allow reinits in sub-processes ([#1149](https://github.com/PyTorchLightning/pytorch-lightning/pull/1149), [#1360](https://github.com/PyTorchLightning/pytorch-lightning/pull/1360))
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- Made `training_epoch_end` behave like `validation_epoch_end` ([#1357](https://github.com/PyTorchLightning/pytorch-lightning/pull/1357))
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@ -83,6 +83,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Fixed running `on_validation_end` only on main process in DDP ([#1125](https://github.com/PyTorchLightning/pytorch-lightning/pull/1125))
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- Fixes `use_amp` issue ([#1145](https://github.com/PyTorchLightning/pytorch-lightning/pull/1145))
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- Fixes using deprecated `use_amp` attribute ([#1145](https://github.com/PyTorchLightning/pytorch-lightning/pull/1145))
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- Fixed `Unimplemented backend XLA` error on TPU ([#1387](https://github.com/PyTorchLightning/pytorch-lightning/pull/1387))
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## [0.7.1] - 2020-03-07
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@ -36,9 +36,9 @@ class TensorRunningMean(object):
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return self.memory[self.last_idx]
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def append(self, x):
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# map proper type for memory if they don't match
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if self.memory.type() != x.type():
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self.memory.type_as(x)
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# ensure same device and type
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if self.memory.device != x.device or self.memory.type() != x.type():
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x = x.to(self.memory)
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# store without grads
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with torch.no_grad():
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