# Copyright 2018 The TensorFlow 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.
# ==============================================================================
"""Model script to test TF-TensorRT integration."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.contrib.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import nn_ops
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import test


class TopKTest(trt_test.TfTrtIntegrationTestBase):

  def GetParams(self):
    """Testing Top-K in TF-TRT conversion."""
    dtype = dtypes.float32
    input_name = "input"
    input_dims = [100, 100]
    k = 5
    g = ops.Graph()
    with g.as_default():
      x = array_ops.placeholder(dtype=dtype, shape=input_dims, name=input_name)
      values, indices = nn_ops.top_k(x, k)
      values = array_ops.identity(values, name='output_values')
      indices = array_ops.identity(indices, name='output_indices')
    return trt_test.TfTrtIntegrationTestParams(
        gdef=g.as_graph_def(),
        input_names=[input_name],
        input_dims=[input_dims],
        output_names=['output_values', 'output_indices'],
        expected_output_dims=[(100, k), (100, k)])

  def ExpectedEnginesToBuild(self, run_params):
    """Return the expected engines to build."""
    return ["TRTEngineOp_0"]


if __name__ == "__main__":
  test.main()

# Copyright 2018 The TensorFlow 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.
# ==============================================================================
"""Model script to test TF-TensorRT integration."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.contrib.tensorrt.test import tf_trt_integration_test_base as trt_test
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import constant_op
from tensorflow.python.ops import nn_ops
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import test


class TopKTest(trt_test.TfTrtIntegrationTestBase):

  def GetParams(self):
    """Testing Top-K in TF-TRT conversion."""
    dtype = dtypes.float32
    input_name = "input"
    input_dims = [100, 100]
    k = 5
    g = ops.Graph()
    with g.as_default():
      x = array_ops.placeholder(dtype=dtype, shape=input_dims, name=input_name)
      k_tensor = constant_op.constant(k, dtype=tf.int32, name="Const")
      values, indices = nn_ops.top_k(x, k_tensor, name="TopK")
      values = array_ops.identity(values, name='output_values')
      indices = array_ops.identity(indices, name='output_indices')
    return trt_test.TfTrtIntegrationTestParams(
        gdef=g.as_graph_def(),
        input_names=[input_name],
        input_dims=[input_dims],
        output_names=['output_values', 'output_indices'],
        expected_output_dims=[(100, k), (100, k)])

  def ExpectedEnginesToBuild(self, run_params):
    """Return the expected engines to build."""
    return {"TRTEngineOp_0" : ["Const", "TopK"]}


if __name__ == "__main__":
  test.main()

Make TopK test more explicit