[v1.x]Onnx reshape special cases 2

python/mxnet/contrib/onnx/mx2onnx/_op_translations.py

@@ -1623,9 +1623,17 @@ def convert_reshape(node, **kwargs):
     # In general -2, -3, -4 in the target shape are not supoorted, but there are
     # a few special cases that we can convert to supported scenarios
 
-    # If -2 and -3 are not used, then we can just remove the -4
+    # If -2 and -3 are not used and there is no 0 to the right of -4, then we can just remove -4
     if -4 in targ_shape and -3 not in targ_shape and -2 not in targ_shape and reverse != 'True':
-        targ_shape = [i for i in targ_shape if i != -4]
+        if 0 not in targ_shape:
+            targ_shape = [i for i in targ_shape if i != -4]
+        else:
+            # index of first -4
+            ind_4 = targ_shape.index(-4)
+            # index of last 0
+            ind0 = len(targ_shape) - 1 - targ_shape[::-1].index(0)
+            if ind_4 > ind0:
+                targ_shape = [i for i in targ_shape if i != -4]
 
     if targ_shape == [-3, 0] and reverse != 'True':
         targ_shape = [-1, 0]
@@ -1645,6 +1653,32 @@ def convert_reshape(node, **kwargs):
         ]
         return nodes
 
+    if targ_shape == [0, -4, -1, 4, 0, 0] and reverse != 'True':
+        create_tensor([4], name+'_4', kwargs['initializer'])
+        nodes = [
+            make_node('Shape', [input_nodes[0]], [name+'_shape']),
+            make_node('Split', [name+'_shape'], [name+'_dim0', name+'_dim1', name+'_dim2',
+                                                 name+'_dim3'], axis=0),
+            make_node('Div', [name+'_dim1', name+'_4'], [name+'_div']),
+            make_node('Concat', [name+'_dim0', name+'_div', name+'_4', name+'_dim2', name+'_dim3'],
+                      [name+'_shape_new'], axis=0),
+            make_node('Reshape', [input_nodes[0], name+'_shape_new'], [name], name=name)
+        ]
+        return nodes
+
+    if targ_shape == [0, 0, -4, 2, 2, 0, 0] and reverse != 'True':
+        create_tensor([2], name+'_2', kwargs['initializer'])
+        nodes = [
+            make_node('Shape', [input_nodes[0]], [name+'_shape']),
+            make_node('Split', [name+'_shape'], [name+'_dim0', name+'_dim1', name+'_dim2',
+                                                 name+'_dim3', name+'_dim4'], axis=0),
+            make_node('Concat', [name+'_dim0', name+'_dim1', name+'_2', name+'_2',
+                                 name+'_dim3', name+'_dim4'], [name+'_shape_new'], axis=0),
+            make_node('Reshape', [input_nodes[0], name+'_shape_new'], [name], name=name)
+        ]
+        return nodes
+
+
     not_supported_shape = [-2, -3, -4]
     for val in targ_shape:
         if val in not_supported_shape:

tests/python-pytest/onnx/test_operators.py

@@ -235,6 +235,14 @@ def test_onnx_export_reshape_special_cases(tmp_path, dtype):
     M5 = def_model('reshape', shape=(0, 0, -3, -3))
     op_export_test('reshape_spec_5', M5, [x3], tmp_path)
 
+    x4 = mx.nd.ones((5, 8, 6, 7), dtype=dtype)
+    M6 = def_model('reshape', shape=(0, -4, -1, 4, 0, 0))
+    op_export_test('reshape_spec_6', M6, [x4], tmp_path)
+
+    x5 = mx.nd.ones((2, 3, 4, 5, 6), dtype=dtype)
+    M7 = def_model('reshape', shape=(0, 0, -4, 2, 2, 0, 0))
+    op_export_test('reshape_spec_7', M7, [x5], tmp_path)
+
 
 @pytest.mark.parametrize('dtype', ['int32', 'int64'])
 def test_onnx_export_embedding(tmp_path, dtype):