[ConvertLayout] Keep span in ConvertLayout (#7895)

apache · Apr 23, 2021 · 60c170e · 60c170e
1 parent c7ac5ee
commit 60c170e
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Showing 4 changed files with 16 additions and 3 deletions.
diff --git a/src/relay/transforms/convert_layout.cc b/src/relay/transforms/convert_layout.cc
@@ -121,7 +121,7 @@ class ConvertTransformMemorizer : public TransformMemorizer {
 
     const CallNode* new_call = new_e.as<CallNode>();
     ICHECK(new_call) << "Can only replace the original operator with another call node";
-    return GetRef<Call>(new_call);
+    return Call(new_call->op, new_call->args, new_call->attrs, new_call->type_args, ref_call->span);
   }
 
   using ContainerType = ConvertTransformMemorizerNode;

diff --git a/src/relay/transforms/forward_rewrite.cc b/src/relay/transforms/forward_rewrite.cc
@@ -168,7 +168,7 @@ class ForwardRewriter : private MixedModeMutator {
       }
     }
     if (unchanged) return ref_call;
-    return Call(new_op, call_args, call_node->attrs, call_node->type_args);
+    return Call(new_op, call_args, call_node->attrs, call_node->type_args, call_node->span);
   }
 };
 

diff --git a/src/relay/transforms/transform_layout.h b/src/relay/transforms/transform_layout.h
@@ -363,7 +363,7 @@ Expr LayoutRewriter(const Call& ref_call, const Array<Expr>& new_args, const Obj
   } else {
     auto rnode = make_object<LayoutAlternatedExprNode<TransformMemorizerT>>();
     ICHECK_EQ(new_out.size(), 1);
-    rnode->value = Call(new_call->op, transformed_args, new_call->attrs);
+    rnode->value = Call(new_call->op, transformed_args, new_call->attrs, {}, ref_call->span);
     rnode->old_layout = old_out[0];
     rnode->new_layout = new_out[0];
     rnode->memorizer = memorizer;

diff --git a/tests/python/relay/test_pass_convert_op_layout.py b/tests/python/relay/test_pass_convert_op_layout.py
@@ -1703,6 +1703,11 @@ def expected():
         assert tvm.ir.structural_equal(a, b), "Actual = \n" + str(a)
 
     def _test_conv_reduce_convert_layout2():
+        def _set_span(y, text):
+            return relay.Call(
+                y.op, y.args, y.attrs, y.type_args, relay.Span(relay.SourceName(text), 0, 0, 0, 0)
+            )
+
         def before():
             x = relay.var("x", shape=(1, 38, 38, 512))
             weight = relay.var("weight", shape=(3, 3, 512, 512))
@@ -1714,9 +1719,13 @@ def before():
                 data_layout="NHWC",
                 kernel_layout="HWIO",
             )
+            y = _set_span(y, "SpanConv2D")
             y = relay.nn.relu(y)
+            y = _set_span(y, "SpanRelu")
             y = relay.multiply(y, y)
+            y = _set_span(y, "SpanMultiply")
             y = relay.sum(y, axis=(3,), keepdims=True)
+            y = _set_span(y, "SpanSum")
             return relay.Function(analysis.free_vars(y), y)
 
         def expected():
@@ -1733,6 +1742,10 @@ def expected():
 
         a = before()
         a = run_opt_pass(a, transform.ConvertLayout({"nn.conv2d": ["NCHW", "default"]}))
+        assert "SpanConv2D" in a.astext()
+        assert "SpanRelu" in a.astext()
+        assert "SpanMultiply" in a.astext()
+        assert "SpanSum" in a.astext()
         b = run_opt_pass(expected(), transform.InferType())
 
         assert tvm.ir.structural_equal(a, b), "Actual = \n" + str(a)