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45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
# RUN: %PYTHON %s
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import absl.testing
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import numpy
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import test_util
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import urllib.request
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from PIL import Image
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# Model from https://github.com/google-coral/test_data/raw/master/ssd_mobilenet_v2_face_quant_postprocess.tflite
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# but trimmed the final TFLite_PostProcess op.
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model_path = "https://storage.googleapis.com/iree-shared-files/models/ssd_mobilenet_v2_face_quant.tflite"
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class MobilenetSsdQuantTest(test_util.TFLiteModelTest):
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def __init__(self, *args, **kwargs):
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super(MobilenetSsdQuantTest, self).__init__(
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model_path, *args, **kwargs
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)
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def compare_results(self, iree_results, tflite_results, details):
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super(MobilenetSsdQuantTest, self).compare_results(
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iree_results, tflite_results, details
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)
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self.assertTrue(
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numpy.isclose(iree_results[0], tflite_results[0], atol=1.0).all()
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)
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def generate_inputs(self, input_details):
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img_path = "https://github.com/google-coral/test_data/raw/master/grace_hopper.bmp"
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local_path = "/".join([self.workdir, "grace_hopper.bmp"])
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urllib.request.urlretrieve(img_path, local_path)
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shape = input_details[0]["shape"]
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im = numpy.array(Image.open(local_path).resize((shape[1], shape[2])))
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args = [im.reshape(shape)]
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return args
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def test_compile_tflite(self):
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self.compile_and_execute()
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if __name__ == "__main__":
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absl.testing.absltest.main()
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