make tests of pytorch_example device agnostic (#27081)
This commit is contained in:
@@ -24,11 +24,16 @@ import tempfile
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import unittest
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from unittest import mock
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import torch
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from accelerate.utils import write_basic_config
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from transformers.testing_utils import TestCasePlus, get_gpu_count, run_command, slow, torch_device
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from transformers.utils import is_apex_available
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from transformers.testing_utils import (
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TestCasePlus,
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backend_device_count,
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is_torch_fp16_available_on_device,
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run_command,
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slow,
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torch_device,
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)
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logging.basicConfig(level=logging.DEBUG)
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@@ -54,11 +59,6 @@ def get_results(output_dir):
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return results
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def is_cuda_and_apex_available():
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is_using_cuda = torch.cuda.is_available() and torch_device == "cuda"
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return is_using_cuda and is_apex_available()
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stream_handler = logging.StreamHandler(sys.stdout)
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logger.addHandler(stream_handler)
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@@ -93,7 +93,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
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--with_tracking
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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run_command(self._launch_args + testargs)
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@@ -119,7 +119,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
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--with_tracking
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""".split()
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if torch.cuda.device_count() > 1:
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if backend_device_count(torch_device) > 1:
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# Skipping because there are not enough batches to train the model + would need a drop_last to work.
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return
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@@ -152,7 +152,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
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@mock.patch.dict(os.environ, {"WANDB_MODE": "offline"})
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def test_run_ner_no_trainer(self):
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# with so little data distributed training needs more epochs to get the score on par with 0/1 gpu
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epochs = 7 if get_gpu_count() > 1 else 2
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epochs = 7 if backend_device_count(torch_device) > 1 else 2
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tmp_dir = self.get_auto_remove_tmp_dir()
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testargs = f"""
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@@ -326,7 +326,7 @@ class ExamplesTestsNoTrainer(TestCasePlus):
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--checkpointing_steps 1
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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run_command(self._launch_args + testargs)
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@@ -20,11 +20,15 @@ import os
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import sys
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from unittest.mock import patch
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import torch
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from transformers import ViTMAEForPreTraining, Wav2Vec2ForPreTraining
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from transformers.testing_utils import CaptureLogger, TestCasePlus, get_gpu_count, slow, torch_device
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from transformers.utils import is_apex_available
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from transformers.testing_utils import (
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CaptureLogger,
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TestCasePlus,
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backend_device_count,
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is_torch_fp16_available_on_device,
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slow,
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torch_device,
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)
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SRC_DIRS = [
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@@ -86,11 +90,6 @@ def get_results(output_dir):
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return results
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def is_cuda_and_apex_available():
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is_using_cuda = torch.cuda.is_available() and torch_device == "cuda"
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return is_using_cuda and is_apex_available()
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stream_handler = logging.StreamHandler(sys.stdout)
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logger.addHandler(stream_handler)
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@@ -116,7 +115,7 @@ class ExamplesTests(TestCasePlus):
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--max_seq_length=128
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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@@ -141,7 +140,7 @@ class ExamplesTests(TestCasePlus):
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--overwrite_output_dir
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""".split()
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if torch.cuda.device_count() > 1:
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if backend_device_count(torch_device) > 1:
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# Skipping because there are not enough batches to train the model + would need a drop_last to work.
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return
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@@ -203,7 +202,7 @@ class ExamplesTests(TestCasePlus):
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def test_run_ner(self):
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# with so little data distributed training needs more epochs to get the score on par with 0/1 gpu
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epochs = 7 if get_gpu_count() > 1 else 2
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epochs = 7 if backend_device_count(torch_device) > 1 else 2
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tmp_dir = self.get_auto_remove_tmp_dir()
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testargs = f"""
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@@ -312,7 +311,7 @@ class ExamplesTests(TestCasePlus):
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def test_generation(self):
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testargs = ["run_generation.py", "--prompt=Hello", "--length=10", "--seed=42"]
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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model_type, model_name = (
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@@ -401,7 +400,7 @@ class ExamplesTests(TestCasePlus):
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--seed 42
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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@@ -431,7 +430,7 @@ class ExamplesTests(TestCasePlus):
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--seed 42
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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@@ -462,7 +461,7 @@ class ExamplesTests(TestCasePlus):
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--seed 42
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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@@ -493,7 +492,7 @@ class ExamplesTests(TestCasePlus):
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--seed 42
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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@@ -525,7 +524,7 @@ class ExamplesTests(TestCasePlus):
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--seed 42
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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@@ -551,7 +550,7 @@ class ExamplesTests(TestCasePlus):
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--seed 42
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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@@ -579,7 +578,7 @@ class ExamplesTests(TestCasePlus):
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--seed 42
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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@@ -604,7 +603,7 @@ class ExamplesTests(TestCasePlus):
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--seed 32
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""".split()
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if is_cuda_and_apex_available():
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if is_torch_fp16_available_on_device(torch_device):
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testargs.append("--fp16")
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with patch.object(sys, "argv", testargs):
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