prune changelog (Lightning-AI#1123)

lezwon · Mar 12, 2020 · 9255e54 · 9255e54
1 parent 5e013f6
commit 9255e54
Showing 1 changed file with 1 addition and 199 deletions.
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -28,22 +28,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [0.7.1] - 2020-03-07
 
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 ### Fixed
 
 - Fixes `print` issues and `data_loader` ([#1080](https://github.com/PyTorchLightning/pytorch-lightning/pull/1080))
@@ -209,10 +193,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Deprecated `tng_dataloader`
 
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 ### Fixed
 
 - Fixed an issue where the number of batches was off by one during training
@@ -235,10 +215,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Changed default for `amp_level` to `O1`
 
-### Deprecated
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 ### Removed
 
 - Removed the `print_weights_summary` argument from `Trainer`
@@ -270,14 +246,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Disabled auto GPU loading when restoring weights to prevent out of memory errors
 - Changed logging, early stopping and checkpointing to occur by default
 
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 ### Fixed
 
 - Fixed a bug with samplers that do not specify `set_epoch`
@@ -287,10 +255,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [0.5.0] - 2019-09-26
 
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 ### Changed
 
 - Changed `data_batch` argument to `batch` throughout
@@ -300,14 +264,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Changed `gradient_clip` argument to `gradient_clip_val`
 - Changed `add_log_row_interval` to `row_log_interval`
 
-### Deprecated
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 ### Fixed
 
 - Fixed a bug with tensorboard logging in multi-gpu setup
@@ -329,14 +285,6 @@ memory utilization
 - Changed gpu API to take integers as well (e.g. `gpus=2` instead of `gpus=[0, 1]`)
 - All models now loaded on to CPU to avoid device and out of memory issues in PyTorch
 
-### Deprecated
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 ### Fixed
 
 - Fixed a bug where data types that implement `.to` but not `.cuda` would not be properly moved onto the GPU
@@ -350,41 +298,17 @@ memory utilization
 - Added `GradientAccumulationScheduler` callback which can be used to schedule changes to the number of accumulation batches
 - Added option to skip the validation sanity check by setting `nb_sanity_val_steps = 0`
 
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 ### Fixed
 
 - Fixed a bug when setting `nb_sanity_val_steps = 0`
 
 ## [0.4.7] - 2019-08-24
 
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 ### Changed
 
 - Changed the default `val_check_interval` to `1.0`
 - Changed defaults for `nb_val_batches`, `nb_tng_batches` and `nb_test_batches` to 0
 
-### Deprecated
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 ### Fixed
 
 - Fixed a bug where the full validation set as used despite setting `val_percent_check`
@@ -402,18 +326,6 @@ memory utilization
 - Added support for data to be given as a `dict` or `list` with a single gpu
 - Added support for `configure_optimizers` to return a single optimizer, two list (optimizers and schedulers), or a single list
 
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 ### Fixed
 
 - Fixed a bug where returning just an optimizer list (i.e. without schedulers) from `configure_optimizers` would throw an `Exception`
@@ -424,22 +336,6 @@ memory utilization
 
 - Added `optimizer_step` method that can be overridden to change the standard optimizer behaviour
 
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 ## [0.4.4] - 2019-08-12
 
 ### Added
@@ -452,85 +348,29 @@ memory utilization
 - `validation_step` and `val_dataloader` are now optional
 - `lr_scheduler` is now activated after epoch
 
-### Deprecated
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 ### Fixed
 
 - Fixed a bug where a warning would show when using `lr_scheduler` in `torch>1.1.0`
 - Fixed a bug where an `Exception` would be thrown if using `torch.DistributedDataParallel` without using a `DistributedSampler`, this now throws a `Warning` instead
 
 ## [0.4.3] - 2019-08-10
 
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 ### Fixed
 
 - Fixed a bug where accumulate gradients would scale the loss incorrectly
 
 ## [0.4.2] - 2019-08-08
 
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 ### Changed
 
 - Changed install requirement to `torch==1.2.0`
 
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 ## [0.4.1] - 2019-08-08
 
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 ### Changed
 
 - Changed install requirement to `torch==1.1.0`
 
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 ## [0.4.0] - 2019-08-08
 
 ### Added
@@ -542,10 +382,6 @@ memory utilization
 
 - Changed `training_step` and `validation_step`, outputs will no longer be automatically reduced
 
-### Deprecated
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 ### Removed
 
 - Removed need for `Experiment` object in `Trainer`
@@ -554,49 +390,15 @@ memory utilization
 
 - Fixed issues with reducing outputs from generative models (such as images and text)
 
-## [0.3.6.1] - 2019-07-27
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-- Fixed a bug where `Experiment` object was not process safe, potentially causing logs to be overwritten
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 ## [0.3.6] - 2019-07-25
 
 ### Added
 
 - Added a decorator to do lazy data loading internally
 
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+- Fixed a bug where `Experiment` object was not process safe, potentially causing logs to be overwritten
 
 ## [0.3.5] - 2019-MM-DD