add pt2tf tool

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

@@ -0,0 +1,48 @@
+import tensorflow as tf
+
+from onnx_tf.handlers.backend_handler import BackendHandler
+from onnx_tf.handlers.handler import onnx_op
+
+
+@onnx_op("Gemm")
+class Gemm(BackendHandler):
+
+  @classmethod
+  def _common(cls, node, **kwargs):
+    tensor_dict = kwargs["tensor_dict"]
+    x = tensor_dict[node.inputs[0]]
+    x = tf.layers.flatten(x)
+    y = tensor_dict[node.inputs[1]]
+
+    if len(node.inputs) > 2:
+      z = tensor_dict[node.inputs[2]]
+    else:
+      z = 0
+
+    if node.attrs.get("transA", 0):
+      x = tf.transpose(x)
+    if node.attrs.get("transB", 0):
+      y = tf.transpose(y)
+    alpha = node.attrs.get("alpha", 1.0)
+    beta = node.attrs.get("beta", 1.0)
+    return [alpha * tf.matmul(x, y) + beta * z]
+
+  @classmethod
+  def version_1(cls, node, **kwargs):
+    return cls._common(node, **kwargs)
+
+  @classmethod
+  def version_6(cls, node, **kwargs):
+    return cls._common(node, **kwargs)
+
+  @classmethod
+  def version_7(cls, node, **kwargs):
+    return cls._common(node, **kwargs)
+
+  @classmethod
+  def version_9(cls, node, **kwargs):
+    return cls._common(node, **kwargs)
+
+  @classmethod
+  def version_11(cls, node, **kwargs):
+    return cls._common(node, **kwargs)