SavedModel TF Serve Fix (#7228)
* SavedModel TF Serve Fix Fix for https://github.com/ultralytics/yolov5/issues/7205 proposed by @tylertroy * Update export.py
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@ -285,12 +285,12 @@ def export_saved_model(model,
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if keras:
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keras_model.save(f, save_format='tf')
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else:
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m = tf.function(lambda x: keras_model(x)) # full model
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spec = tf.TensorSpec(keras_model.inputs[0].shape, keras_model.inputs[0].dtype)
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m = tf.function(lambda x: keras_model(x)) # full model
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m = m.get_concrete_function(spec)
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frozen_func = convert_variables_to_constants_v2(m)
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tfm = tf.Module()
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tfm.__call__ = tf.function(lambda x: frozen_func(x)[0], [spec])
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tfm.__call__ = tf.function(lambda x: frozen_func(x)[:4] if tf_nms else frozen_func(x)[0], [spec])
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tfm.__call__(im)
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tf.saved_model.save(tfm,
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f,
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