add pt2tf tool

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

@@ -0,0 +1,29 @@
+import tensorflow as tf
+
+from onnx_tf.handlers.backend_handler import BackendHandler
+from onnx_tf.handlers.handler import onnx_op
+
+
+@onnx_op("QuantizeLinear")
+class QuantizeLinear(BackendHandler):
+
+  @classmethod
+  def version_10(cls, node, **kwargs):
+    tensor_dict = kwargs["tensor_dict"]
+    x = tensor_dict[node.inputs[0]]
+    y_scale = tensor_dict[node.inputs[1]]
+
+    x = tf.cast(x, tf.float32)
+    y = tf.divide(x, y_scale)
+    y = tf.round(y)
+    if len(node.inputs) == 3:
+      y_zero_point = tensor_dict[node.inputs[2]]
+      y_dtype = y_zero_point.dtype
+      y_zero_point = tf.cast(y_zero_point, tf.float32)
+      y = tf.add(y, y_zero_point)
+    else: # y_zero_point default dtype = uint8
+      y_dtype = tf.uint8
+
+    y = tf.saturate_cast(y, y_dtype)
+
+    return [y]