fix bug of load op in issue#24252 (#24253)

test=develop

python/paddle/fluid/layers/io.py

@@ -921,4 +921,4 @@ def load(out, file_path, load_as_fp16=None):
     attrs = {"file_path": file_path}
     if load_as_fp16 is not None:
         attrs['load_as_fp16'] = load_as_fp16
-    helper.append_op(type="load", inputs={}, output={"Out": out}, attrs=attrs)
+    helper.append_op(type="load", inputs={}, outputs={"Out": out}, attrs=attrs)

python/paddle/fluid/tests/unittests/test_load_op.py

+#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+import unittest
+import numpy as np
+from op_test import OpTest, randomize_probability
+import paddle.fluid as fluid
+import paddle.fluid.layers as layers
+
+
+class TestLoadOp(unittest.TestCase):
+    """ Test load operator.
+    """
+
+    def setUp(self):
+        self.ones = np.ones((4, 4)).astype('float32')
+        main_prog = fluid.Program()
+        start_prog = fluid.Program()
+        with fluid.program_guard(main_prog, start_prog):
+            input = fluid.data('input', shape=[-1, 4], dtype='float32')
+            output = layers.fc(
+                input,
+                4,
+                param_attr=fluid.ParamAttr(
+                    name='w',
+                    initializer=fluid.initializer.NumpyArrayInitializer(
+                        self.ones)))
+        exe = fluid.Executor(fluid.CPUPlace())
+        exe.run(start_prog)
+        fluid.io.save_persistables(
+            exe, dirname="/tmp/model", main_program=main_prog)
+
+    def test_load(self):
+        main_prog = fluid.Program()
+        start_prog = fluid.Program()
+        with fluid.program_guard(main_prog, start_prog):
+            var = layers.create_tensor(dtype='float32')
+            layers.load(var, file_path='/tmp/model/w')
+
+        exe = fluid.Executor(fluid.CPUPlace())
+        exe.run(start_prog)
+        ret = exe.run(main_prog, fetch_list=[var.name])
+        self.assertTrue(np.array_equal(self.ones, ret[0]))
+
+
+if __name__ == "__main__":
+    unittest.main()