chore: import upstream snapshot with attribution

test/quantization/test_imperative_qat_fuse.py

@@ -0,0 +1,40 @@
+#   copyright (c) 2018 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.
+
+import os
+import unittest
+
+from test_imperative_qat import TestImperativeQat
+
+import paddle
+from paddle.framework import core, set_flags
+
+paddle.enable_static()
+
+os.environ["CPU_NUM"] = "1"
+if core.is_compiled_with_cuda():
+    set_flags({"FLAGS_cudnn_deterministic": True})
+
+
+class TestImperativeQatfuseBN(TestImperativeQat):
+    def set_vars(self):
+        self.weight_quantize_type = 'abs_max'
+        self.activation_quantize_type = 'moving_average_abs_max'
+        self.diff_threshold = 0.03125
+        self.onnx_format = False
+        self.fuse_conv_bn = True
+
+
+if __name__ == '__main__':
+    unittest.main()