Replaces ddp .spawn with subprocess (#2029)

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

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* replace ddp spawn with subprocess

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* replace ddp spawn with subprocess

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* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

* replace ddp spawn with subprocess

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This commit is contained in:
William Falcon
2020-06-01 11:00:32 -04:00
committed by GitHub
parent fd38f52e55
commit 82a20296e3
19 changed files with 283 additions and 174 deletions
+2 -2
View File
@@ -25,7 +25,7 @@ def assert_speed_parity(pl_times, pt_times, num_epochs):
f"lightning was slower than PT (threshold {max_diff_per_epoch})"
def run_model_test_without_loggers(trainer_options, model, min_acc=0.50):
def run_model_test_without_loggers(trainer_options, model, min_acc=0.30):
reset_seed()
# fit model
@@ -155,7 +155,7 @@ def load_model_from_checkpoint(root_weights_dir, module_class=EvalModelTemplate)
return trained_model
def run_prediction(dataloader, trained_model, dp=False, min_acc=0.5):
def run_prediction(dataloader, trained_model, dp=False, min_acc=0.3):
# run prediction on 1 batch
for batch in dataloader:
break