forked from mindspore-Ecosystem/mindspore
mode_export_example
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@ -56,4 +56,4 @@ if __name__ == "__main__":
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# export network
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inputs = Tensor(np.ones([1, 1, cfg.image_height, cfg.image_width]), mindspore.float32)
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export(network, inputs, file_name="lenet_quant", file_format='MINDIR', quant_mode='AUTO')
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export(network, inputs, file_name="lenet_quant.mindir", file_format='MINDIR', quant_mode='AUTO')
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@ -53,5 +53,5 @@ if __name__ == '__main__':
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# export network
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print("============== Starting export ==============")
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inputs = Tensor(np.ones([1, 3, cfg.image_height, cfg.image_width]), mindspore.float32)
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export(network, inputs, file_name="mobilenet_quant", file_format='MINDIR', quant_mode='AUTO')
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export(network, inputs, file_name="mobilenet_quant.mindir", file_format='MINDIR', quant_mode='AUTO')
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print("============== End export ==============")
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@ -147,7 +147,7 @@ def export_lenet():
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# export network
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inputs = Tensor(np.ones([1, 1, cfg.image_height, cfg.image_width]), mstype.float32)
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export(network, inputs, file_name="lenet_quant", file_format='MINDIR', quant_mode='AUTO')
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export(network, inputs, file_name="lenet_quant.mindir", file_format='MINDIR', quant_mode='AUTO')
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@pytest.mark.level0
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