add pt2tf tool

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

@@ -0,0 +1,36 @@
+import copy
+import tensorflow as tf
+
+from onnx_tf.handlers.backend_handler import BackendHandler
+from onnx_tf.handlers.handler import onnx_op
+from onnx_tf.handlers.handler import tf_func
+
+
+@onnx_op("Compress")
+@tf_func(tf.gather)
+class Compress(BackendHandler):
+
+  @classmethod
+  def _common(cls, node, **kwargs):
+    attrs = copy.deepcopy(node.attrs)
+    tensor_dict = kwargs["tensor_dict"]
+    x = tensor_dict[node.inputs[0]]
+    condition = tensor_dict[node.inputs[1]]
+
+    x = tf.reshape(x, [-1]) if node.attrs.get("axis") is None else x
+
+    indices = tf.constant(list(range(condition.shape[0])), dtype=tf.int64)
+    not_zero = tf.not_equal(condition, tf.zeros_like(condition))
+    attrs['indices'] = tf.boolean_mask(indices, not_zero)
+
+    return [
+        cls.make_tensor_from_onnx_node(node, inputs=[x], attrs=attrs, **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)