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Upgrade onnxruntime to 1.20
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xiaoyu-work committed Jan 7, 2025
1 parent 215eb63 commit fdf34b7
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Showing 13 changed files with 31 additions and 122 deletions.
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@@ -1,9 +1,10 @@
# Example CPU test template for Olive pipeline

parameters:
name: ''
pool: ''
test_type: ''
windows: False
device: 'cpu'
python_version: '3.10'
onnxruntime: 'onnxruntime'
torch: 'torch'
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Expand Up @@ -27,10 +27,6 @@ jobs:
HF_HOME: $(Pipeline.Workspace)/.cache/huggingface

steps:
- script: docker system df && docker system prune -a -f && docker system df
displayName: Clean docker images
continueOnError: true

- template: build-docker-image-template.yaml
parameters:
python_version: ${{ parameters.python_version }}
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95 changes: 0 additions & 95 deletions .azure_pipelines/job_templates/olive-test-win-template.yaml

This file was deleted.

16 changes: 8 additions & 8 deletions .azure_pipelines/olive-ci.yaml
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Expand Up @@ -51,11 +51,11 @@ variables:

jobs:
# Linux unit tests
- template: job_templates/olive-test-linux-cpu-template.yaml
- template: job_templates/olive-test-cpu-template.yaml
parameters:
name: Linux_CPU_CI_Unit_Test
pool: $(OLIVE_POOL_UBUNTU2004)
onnxruntime: onnxruntime==1.19.2
onnxruntime: onnxruntime
test_type: 'unit_test'

- template: job_templates/olive-test-linux-gpu-template.yaml
Expand All @@ -65,15 +65,15 @@ jobs:
test_type: 'unit_test'
device: 'gpu'
dockerfile: '.azure_pipelines/dockerfiles/linux-gpu.dockerfile'
onnxruntime: onnxruntime-gpu==1.19.2
onnxruntime: onnxruntime-gpu
requirements_file: 'requirements-test-gpu.txt'

# Windows unit tests
- template: job_templates/olive-test-win-template.yaml
- template: job_templates/olive-test-cpu-template.yaml
parameters:
name: Windows_CPU_CI_Unit_Test
pool: $(OLIVE_POOL_WIN2019)
onnxruntime: onnxruntime==1.19.2
onnxruntime: onnxruntime
test_type: 'unit_test'
windows: True

Expand Down Expand Up @@ -137,21 +137,21 @@ jobs:
# these jobs need secrets not available in forks
- ${{ if ne(variables['System.PullRequest.IsFork'], 'True') }}:
# integration tests
- template: job_templates/olive-test-linux-cpu-template.yaml
- template: job_templates/olive-test-cpu-template.yaml
parameters:
name: Linux_CPU_CI_Integration_Test
pool: $(OLIVE_POOL_UBUNTU2004)
test_type: 'integ_test'

- template: job_templates/olive-test-win-template.yaml
- template: job_templates/olive-test-cpu-template.yaml
parameters:
name: Windows_CPU_CI_Integration_Test
pool: $(OLIVE_POOL_WIN2019)
test_type: 'integ_test'
windows: True

# Multiple EP Linux testing
- template: job_templates/olive-test-linux-cpu-template.yaml
- template: job_templates/olive-test-cpu-template.yaml
parameters:
name: Linux_CI_Multiple_EP_Test
pool: $(OLIVE_POOL_UBUNTU2004)
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9 changes: 8 additions & 1 deletion .azure_pipelines/olive-examples.yaml
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Expand Up @@ -33,14 +33,21 @@ jobs:
super_resolution:
exampleFolder: super_resolution
exampleName: super_resolution

- template: job_templates/olive-example-linux-template.yaml
parameters:
name: Linux_Examples_Py38
pool: $(OLIVE_POOL_UBUNTU2004)
onnxruntime: onnxruntime
python_version: '3.8'
examples:
mobilenet_qnn_toolkit:
exampleFolder: mobilenet
exampleName: qnn_tooklit
inception_snpe_toolkit:
exampleFolder: inception
exampleName: snpe_toolkit


# Windows examples test
- template: job_templates/olive-example-win-template.yaml
parameters:
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12 changes: 6 additions & 6 deletions .azure_pipelines/olive-ort-nightly.yaml
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Expand Up @@ -38,14 +38,14 @@ jobs:
requirements_file: 'requirements-test-gpu.txt'

# Windows unit test
- template: job_templates/olive-test-win-template.yaml
- template: job_templates/olive-test-cpu-template.yaml
parameters:
name: Windows_CI_Unit_Test_Olive
pool: $(OLIVE_POOL_WIN2019)
device: 'cpu'
windows: True
test_type: 'unit_test'
onnxruntime: ort-nightly
onnxruntime: onnxruntime-gpu
onnxruntime_nightly: true

# Linux examples test
- template: job_templates/olive-example-linux-template.yaml
Expand All @@ -61,9 +61,9 @@ jobs:
resnet_ptq_cpu:
exampleFolder: resnet
exampleName: resnet_ptq_cpu
# resnet_vitis_ai_ptq_cpu:
# exampleFolder: resnet
# exampleName: resnet_vitis_ai_ptq_cpu
resnet_vitis_ai_ptq_cpu:
exampleFolder: resnet
exampleName: resnet_vitis_ai_ptq_cpu
resnet_qat:
exampleFolder: resnet
exampleName: resnet_qat
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1 change: 0 additions & 1 deletion examples/test/local/test_qnn_tooklit.py
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Expand Up @@ -17,7 +17,6 @@
set_verbosity_debug()


@pytest.mark.skip(reason="Disable failing tests")
class TestQnnToolkit:
@pytest.fixture(autouse=True)
def setup(self, tmp_path):
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2 changes: 1 addition & 1 deletion examples/test/local/test_resnet_vitis_ai_ptq_cpu.py
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Expand Up @@ -21,7 +21,7 @@ def setup():
retry_func(run_subprocess, kwargs={"cmd": "python prepare_model_data.py", "check": True})


@pytest.mark.skip(reason="Disable failing tests")
@pytest.mark.skip(reason="Failed with onnxruntime 1.20")
@pytest.mark.parametrize("system", ["local_system"])
@pytest.mark.parametrize("olive_json", ["resnet_vitis_ai_ptq_cpu.json"])
def test_resnet(system, olive_json):
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2 changes: 1 addition & 1 deletion examples/test/local/test_snpe_toolkit.py
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Expand Up @@ -70,7 +70,7 @@ def _setup_resource(self, use_olive_env):
)
retry_func(run_subprocess, kwargs={"cmd": "python download_files.py", "check": True})

@pytest.mark.parametrize("use_olive_env", [True])
@pytest.mark.parametrize("use_olive_env", [True, False])
@pytest.mark.skipif(sys.version_info > (3, 8), reason="requires python3.8")
def test_inception_snpe(self, use_olive_env):
from olive.workflows import run as olive_run
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4 changes: 3 additions & 1 deletion test/requirements-test.txt
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Expand Up @@ -43,4 +43,6 @@ pytorch_lightning
sentencepiece
tabulate
torchvision
transformers>=4.42.0
# num_logits_to_keep is causing extra input.
# TODO(anyone): Remove this once the issue is resolved
transformers>=4.42.0, <4.45.0
2 changes: 1 addition & 1 deletion test/unit_test/passes/onnx/test_mnb_to_qdq.py
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Expand Up @@ -65,7 +65,7 @@ def forward(self, x):
@pytest.mark.parametrize("use_transpose_op", [True, False])
@pytest.mark.parametrize("use_int4", [True, False])
@pytest.mark.parametrize("add_zero_point", [True, False])
@pytest.mark.parametrize("execution_provider", ["CPUExecutionProvider"])
@pytest.mark.parametrize("execution_provider", ["CPUExecutionProvider", "CUDAExecutionProvider"])
def test_mnb_to_qdq(create_mnb_model, execution_provider, add_zero_point, use_int4, use_transpose_op, tmp_path):
available_providers = onnxruntime.get_available_providers()
if execution_provider not in available_providers:
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2 changes: 0 additions & 2 deletions test/unit_test/passes/onnx/test_split_model.py
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Expand Up @@ -80,8 +80,6 @@ def input_model_info_fixture(request, tmp_path_factory):
return all_models, request.param, 4 if request.param else 2


# TODO(team): 55319 Failed on CI. Need to investigate.
@pytest.mark.skipif(True, reason="Fails on CI. Need to investigate.")
@pytest.mark.parametrize(
"model_type",
["convert_fp32", "opt_fp32", "opt_fp16"],
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Expand Up @@ -37,6 +37,7 @@ def dummy_calibration_reader(dataset, batch_size, **kwargs):
return RandomDataReader()


@pytest.mark.skip(reason="Failed with onnxruntime 1.20")
@pytest.mark.parametrize("calibrate_method", ["MinMSE", "NonOverflow"])
def test_vitis_ai_quantization_pass(calibrate_method, tmp_path):
# setup
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