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fix PR (#4810)

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This commit is contained in:
Patrick von Platen
2020-06-08 15:31:12 +02:00
committed by GitHub
parent e817747941
commit c0554776de
4 changed files with 215 additions and 70 deletions
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54
tests/test_benchmark.py
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@@ -3,7 +3,7 @@ import tempfile
import unittest
from pathlib import Path
from transformers import GPT2Config, is_torch_available
from transformers import AutoConfig, is_torch_available
from .utils import require_torch
@@ -45,7 +45,18 @@ class BenchmarkTest(unittest.TestCase):
def test_inference_with_configs(self):
MODEL_ID = "sshleifer/tiny-gpt2"
config = GPT2Config.from_pretrained(MODEL_ID)
config = AutoConfig.from_pretrained(MODEL_ID)
benchmark_args = PyTorchBenchmarkArguments(
models=[MODEL_ID], training=False, no_inference=False, sequence_lengths=[8], batch_sizes=[1]
)
benchmark = PyTorchBenchmark(benchmark_args, configs=[config])
results = benchmark.run()
self.check_results_dict_not_empty(results.time_inference_result)
self.check_results_dict_not_empty(results.memory_inference_result)
def test_inference_encoder_decoder_with_configs(self):
MODEL_ID = "sshleifer/tinier_bart"
config = AutoConfig.from_pretrained(MODEL_ID)
benchmark_args = PyTorchBenchmarkArguments(
models=[MODEL_ID], training=False, no_inference=False, sequence_lengths=[8], batch_sizes=[1]
)
@@ -56,7 +67,18 @@ class BenchmarkTest(unittest.TestCase):
def test_train_with_configs(self):
MODEL_ID = "sshleifer/tiny-gpt2"
config = GPT2Config.from_pretrained(MODEL_ID)
config = AutoConfig.from_pretrained(MODEL_ID)
benchmark_args = PyTorchBenchmarkArguments(
models=[MODEL_ID], training=True, no_inference=True, sequence_lengths=[8], batch_sizes=[1]
)
benchmark = PyTorchBenchmark(benchmark_args, configs=[config])
results = benchmark.run()
self.check_results_dict_not_empty(results.time_train_result)
self.check_results_dict_not_empty(results.memory_train_result)
def test_train_encoder_decoder_with_configs(self):
MODEL_ID = "sshleifer/tinier_bart"
config = AutoConfig.from_pretrained(MODEL_ID)
benchmark_args = PyTorchBenchmarkArguments(
models=[MODEL_ID], training=True, no_inference=True, sequence_lengths=[8], batch_sizes=[1]
)
@@ -88,3 +110,29 @@ class BenchmarkTest(unittest.TestCase):
self.assertTrue(Path(os.path.join(tmp_dir, "inf_mem.csv")).exists())
self.assertTrue(Path(os.path.join(tmp_dir, "train_mem.csv")).exists())
self.assertTrue(Path(os.path.join(tmp_dir, "env.csv")).exists())
def test_trace_memory(self):
MODEL_ID = "sshleifer/tiny-gpt2"
def _check_summary_is_not_empty(summary):
self.assertTrue(hasattr(summary, "sequential"))
self.assertTrue(hasattr(summary, "cumulative"))
self.assertTrue(hasattr(summary, "current"))
self.assertTrue(hasattr(summary, "total"))
with tempfile.TemporaryDirectory() as tmp_dir:
benchmark_args = PyTorchBenchmarkArguments(
models=[MODEL_ID],
training=True,
no_inference=False,
sequence_lengths=[8],
batch_sizes=[1],
log_filename=os.path.join(tmp_dir, "log.txt"),
log_print=True,
trace_memory_line_by_line=True,
)
benchmark = PyTorchBenchmark(benchmark_args)
result = benchmark.run()
_check_summary_is_not_empty(result.inference_summary)
_check_summary_is_not_empty(result.train_summary)
self.assertTrue(Path(os.path.join(tmp_dir, "log.txt")).exists())