1 files changed, 69 insertions, 0 deletions
diff --git a/tensorflow/contrib/tensorrt/test/neighboring_engine_test.py b/tensorflow/contrib/tensorrt/test/neighboring_engine_test.py
new file mode 100644
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+++ b/tensorflow/contrib/tensorrt/test/neighboring_engine_test.py
@@ -0,0 +1,69 @@
+# 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
+
+import numpy as np
+
+from tensorflow.contrib.tensorrt.test import tf_trt_integration_test_base as trt_test
+from tensorflow.python.framework import constant_op
+from tensorflow.python.framework import dtypes
+from tensorflow.python.framework import ops
+from tensorflow.python.ops import array_ops
+from tensorflow.python.ops import gen_math_ops
+from tensorflow.python.ops import nn
+from tensorflow.python.platform import test
+
+
+class NeighboringEngineTest(trt_test.TfTrtIntegrationTestBase):
+
+  def GetParams(self):
+    """Neighboring node wiring tests in TF-TRT conversion."""
+    dtype = dtypes.float32
+    input_name = "input"
+    input_dims = [2, 3, 7, 5]
+    g = ops.Graph()
+    with g.as_default():
+      x = array_ops.placeholder(dtype=dtype, shape=input_dims, name=input_name)
+      e = constant_op.constant(
+          np.random.normal(.3, 0.05, [3, 2, 3, 4]), name="weights", dtype=dtype)
+      conv = nn.conv2d(
+          input=x,
+          filter=e,
+          data_format="NCHW",
+          strides=[1, 1, 1, 1],
+          padding="VALID",
+          name="conv")
+      b = constant_op.constant(
+          np.random.normal(1.0, 1.0, [1, 4, 1, 1]), name="bias", dtype=dtype)
+      t = conv * b
+      e = gen_math_ops.tan(conv)
+      t = t - e
+      array_ops.squeeze(t, name=self.output_name)
+    return trt_test.TfTrtIntegrationTestParams(
+        gdef=g.as_graph_def(),
+        input_names=[input_name],
+        input_dims=[input_dims],
+        num_expected_engines=2,
+        expected_output_dims=(2, 4, 5, 4),
+        allclose_atol=1.e-03,
+        allclose_rtol=1.e-03)
+
+
+if __name__ == "__main__":
+  test.main()