text: # 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 inference_pass_test import InferencePassTest
  import paddle.fluid as fluid
  import paddle.fluid.core as core
  from paddle.fluid.core import PassVersionChecker
  from paddle.fluid.core import AnalysisConfig
  
  
  class TRTGatherTest1(InferencePassTest):
      def setUp(self):
          self.set_params()
          with fluid.program_guard(self.main_program, self.startup_program):
              data = fluid.data(name='data', shape=[-1, 128], dtype='float32')
              index = fluid.data(name='index', shape=[-1, 1], dtype='int32')
              scale_out = fluid.layers.gather(data, index=index)
              out = fluid.layers.softmax(input=scale_out)
  
          self.feeds = {
              "data": np.random.random([self.bs, 128]).astype("float32"),
              "index": self.index
          }
  
          self.enable_trt = True
          self.trt_parameters = TRTGatherTest1.TensorRTParam(
              1 << 30, self.bs, 1, AnalysisConfig.Precision.Float32, False, False)
          self.dynamic_shape_params = TRTGatherTest1.DynamicShapeParam({
              'data': [1, 1],
              'index': [1, 1]
          }, {'data': [32, 128],
              'index': [3, 1]}, {'data': [32, 128],
                                 'index': [3, 1]}, False)
          self.fetch_list = [out]
  
      def set_params(self):
          self.index = np.array([[1], [2], [3]], dtype='int32')
          self.bs = 4
  
      def test_check_output(self):
          if core.is_compiled_with_cuda():
              use_gpu = True
              self.check_output_with_option(use_gpu, flatten=False)
              self.assertTrue(
                  PassVersionChecker.IsCompatible('tensorrt_subgraph_pass'))
  
  
  class TRTGatherTest2(InferencePassTest):
      def setUp(self):
          self.set_params()
          with fluid.program_guard(self.main_program, self.startup_program):
              data = fluid.data(name='data', shape=[16, 64], dtype='float32')
              index = fluid.data(name='index', shape=[2], dtype='int32')
              scale_out = fluid.layers.gather(data, index=index)
              out = fluid.layers.softmax(input=scale_out)
  
          self.feeds = {
              "data": np.random.random([self.bs, 64]).astype("float32"),
              "index": self.index
          }
  
          self.enable_trt = True
          self.trt_parameters = TRTGatherTest2.TensorRTParam(
              1 << 30, self.bs, 1, AnalysisConfig.Precision.Float32, False, False)
          self.dynamic_shape_params = TRTGatherTest2.DynamicShapeParam({
              'data': [2, 4],
              'index': [1]
          }, {'data': [256, 256],
              'index': [4]}, {'data': [64, 32],
                              'index': [2]}, False)
          self.fetch_list = [out]
  
      def set_params(self):
          self.index = np.array([1, 4], dtype='int32')
          self.bs = 16
  
      def test_check_output(self):
          if core.is_compiled_with_cuda():
              use_gpu = True
              self.check_output_with_option(use_gpu, flatten=False)
              self.assertTrue(
                  PassVersionChecker.IsCompatible('tensorrt_subgraph_pass'))
  
  
  if __name__ == "__main__":
      unittest.main()
  