add npu_sampling_id and tests (#34302)

paddle/fluid/operators/sampling_id_op_npu.cc

+/* Copyright (c) 2021 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. */
+
+#include "paddle/fluid/operators/sampling_id_op.h"
+
+namespace ops = paddle::operators;
+REGISTER_OP_NPU_KERNEL(sampling_id, paddle::operators::SamplingIdKernel<float>,
+                       paddle::operators::SamplingIdKernel<double>);

python/paddle/fluid/tests/unittests/npu/test_sampling_id_op_npu.py

+#   Copyright (c) 2021 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 unittest
+import numpy as np
+import sys
+sys.path.append("..")
+
+from op_test import OpTest, _set_use_system_allocator
+import paddle.fluid.core as core
+import paddle.fluid as fluid
+from paddle.fluid.op import Operator
+import paddle
+
+_set_use_system_allocator(False)
+
+
+class TestSamplingIdShape(unittest.TestCase):
+    def test_shape(self):
+        paddle.enable_static()
+        x = fluid.layers.data(name='x', shape=[3], dtype='float32')
+        output = fluid.layers.sampling_id(x)
+
+        place = fluid.NPUPlace(0)
+        exe = fluid.Executor(place=place)
+        exe.run(fluid.default_startup_program())
+
+        feed = {
+            'x': np.array(
+                [[0.2, 0.3, 0.5], [0.2, 0.3, 0.4]], dtype='float32')
+        }
+        output_np = exe.run(feed=feed, fetch_list=[output])[0]
+
+        self.assertEqual(output.shape[0], -1)
+        self.assertEqual(len(output.shape), 1)
+        self.assertEqual(output_np.shape[0], 2)
+        self.assertEqual(len(output_np.shape), 1)
+
+
+if __name__ == "__main__":
+    unittest.main()