Files
AMD-SHARK-Studio/tank/tflite/posenet_test.py
Prashant Kumar 0dcf387089 Add shark_importer for torch_models. (#183)
All the torch_models are imported to gs::shark_tank.
Scripts have been updated.
2022-07-12 20:38:19 -07:00

37 lines
1.1 KiB
Python

# RUN: %PYTHON %s
import absl.testing
import numpy
import test_util
model_path = "https://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/multi_person_mobilenet_v1_075_float.tflite"
class PoseTest(test_util.TFLiteModelTest):
def __init__(self, *args, **kwargs):
super(PoseTest, self).__init__(model_path, *args, **kwargs)
def compare_results(self, iree_results, tflite_results, details):
super(PoseTest, self).compare_results(
iree_results, tflite_results, details
)
self.assertTrue(
numpy.isclose(iree_results[0], tflite_results[0], atol=1e-3).all()
)
self.assertTrue(
numpy.isclose(iree_results[1], tflite_results[1], atol=1e-2).all()
)
self.assertTrue(
numpy.isclose(iree_results[2], tflite_results[2], atol=1e-2).all()
)
self.assertTrue(
numpy.isclose(iree_results[3], tflite_results[3], atol=1e-3).all()
)
def test_compile_tflite(self):
self.compile_and_execute()
if __name__ == "__main__":
absl.testing.absltest.main()