add pt2tf tool

pt2tf/onnx-tensorflow/onnx_tf/handlers/backend/max_pool.py

@@ -0,0 +1,40 @@
+from onnx_tf.handlers.backend_handler import BackendHandler
+from onnx_tf.handlers.handler import onnx_op
+from onnx_tf.handlers.handler import partial_support
+from onnx_tf.handlers.handler import ps_description
+from .pool_mixin import PoolMixin
+
+
+@onnx_op("MaxPool")
+@partial_support(True)
+@ps_description(
+    "MaxPoolWithArgmax with pad is None or incompatible mode, or " +
+    "MaxPoolWithArgmax with 4D or higher input, or" +
+    "MaxPoolWithArgmax with column major " + "are not supported in Tensorflow.")
+class MaxPool(PoolMixin, BackendHandler):
+
+  @classmethod
+  def _common(cls, node, **kwargs):
+    pool_type = "MAX" if len(node.outputs) == 1 else "MAX_WITH_ARGMAX"
+    return cls.pool(node, kwargs["tensor_dict"], pool_type,
+                    kwargs.get("strict", True))
+
+  @classmethod
+  def version_1(cls, node, **kwargs):
+    return cls._common(node, **kwargs)
+
+  @classmethod
+  def version_8(cls, node, **kwargs):
+    return cls._common(node, **kwargs)
+
+  @classmethod
+  def version_10(cls, node, **kwargs):
+    return cls._common(node, **kwargs)
+
+  @classmethod
+  def version_11(cls, node, **kwargs):
+    return cls._common(node, **kwargs)
+
+  @classmethod
+  def version_12(cls, node, **kwargs):
+    return cls._common(node, **kwargs)