Merge pull request #834 from sony/fix/20210311-fix-converter-error

Remove redundant input for some funcs.
sony · Mar 18, 2021 · 84b1d2c · 84b1d2c
2 parents c3c43b3 + e962f1a
commit 84b1d2c
Showing 1 changed file with 3 additions and 0 deletions.
diff --git a/python/src/nnabla/utils/converter/onnx/importer.py b/python/src/nnabla/utils/converter/onnx/importer.py
@@ -1464,6 +1464,7 @@ def Pad(self, opset, func_list, n):
                 raise ValueError("Unsupported attribute {} was specified at {}"
                                  .format(attr.name, n.op_type))
         if opset == "11":
+            del func.input[1:]
             pads = self.get_input_raw_data(n.input[1], TensorProto.INT64)
             try:
                 value = self.get_input_raw_data(
@@ -2002,6 +2003,7 @@ def Slice(self, opset, func_list, n):
                     logger.info('Unsupported attribute {} was specified at {}'
                                 .format(attr.name, n.op_type))
         else:
+            del func.input[1:]
             starts = self.get_input_raw_data(n.input[1], TensorProto.INT64)
             ends = self.get_input_raw_data(n.input[2], TensorProto.INT64)
             try:
@@ -2362,6 +2364,7 @@ def Upsample_9(self, func_list, n):
                 elif init.float_data:
                     scales.extend(init.float_data)
         self._merged_inputs.append(n.input[1])
+        del func.input[1]
         scales = [int(np.floor(i)) for i in scales]
         output_shape = []
         for i in range(len(input_shape)):