Fix nightly pipeline for tf1.13 (#1565)

* Fix nightly build for tf2.1

Signed-off-by: Tom Wildenhain <[email protected]>

* Fix nightly pipeline for tf1.13

Signed-off-by: Tom Wildenhain <[email protected]>

Author: TomWildenhain-Microsoft

tests/test_backend.py

@@ -4053,7 +4053,7 @@ def func(x):
             self.logger.debug(str(p))
             self._run_test_case(func, [_OUTPUT, _OUTPUT1], {_INPUT: x_val})
 
-    @check_tf_min_version("1.13")
+    @check_tf_min_version("1.15")
     @check_opset_min_version(11, "MaxPoolWithArgmax")
     def test_maxpoolwithargmax_batch_in_index(self):
         padding = 'SAME'

tf2onnx/onnx_opset/nn.py

@@ -747,7 +747,8 @@ def version_8(cls, ctx, node, **kwargs):
             c_range = ctx.make_node("Range", [const_zero, c_sq, const_one]).output[0]
         xyc = ctx.make_node("Add", [xy_scale_c, c_range]).output[0]
         single_batch = input_shape_guess is not None and input_shape_guess[0] == 1
-        if node.get_attr_value('include_batch_in_index', False) and not single_batch:
+        # Documentation says include_batch_in_index has default False, but tf 1.13 excludes it and assumes True
+        if node.get_attr_value('include_batch_in_index', True) and not single_batch:
             utils.make_sure(ctx.opset >= 11, "opset 11 required for MaxPoolWithArgmax with include_batch_in_index")
             n_sq = GraphBuilder(ctx).make_squeeze({'data': n, 'axes': [0]})
             n_range = ctx.make_node("Range", [const_zero, n_sq, const_one]).output[0]