1 files changed, 82 insertions, 0 deletions
diff --git a/tensorflow/contrib/tensorrt/test/vgg_block_nchw_test.py b/tensorflow/contrib/tensorrt/test/vgg_block_nchw_test.py
new file mode 100644
index 0000000000..2b134c3bce
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+++ b/tensorflow/contrib/tensorrt/test/vgg_block_nchw_test.py
@@ -0,0 +1,82 @@
+# 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 nn
+from tensorflow.python.ops import nn_impl
+from tensorflow.python.ops import nn_ops
+from tensorflow.python.platform import test
+
+
+class VGGBlockNCHWTest(trt_test.TfTrtIntegrationTestBase):
+
+  def GetParams(self):
+    """Single vgg layer in NCHW unit tests in TF-TRT."""
+    dtype = dtypes.float32
+    input_name = "input"
+    input_dims = [5, 2, 8, 8]
+    g = ops.Graph()
+    with g.as_default():
+      x = array_ops.placeholder(dtype=dtype, shape=input_dims, name=input_name)
+      x, _, _ = nn_impl.fused_batch_norm(
+          x,
+          np.random.randn(2).astype(np.float32),
+          np.random.randn(2).astype(np.float32),
+          mean=np.random.randn(2).astype(np.float32),
+          variance=np.random.randn(2).astype(np.float32),
+          data_format="NCHW",
+          is_training=False)
+      e = constant_op.constant(
+          np.random.randn(1, 1, 2, 6), name="weights", dtype=dtype)
+      conv = nn.conv2d(
+          input=x,
+          filter=e,
+          data_format="NCHW",
+          strides=[1, 1, 2, 2],
+          padding="SAME",
+          name="conv")
+      b = constant_op.constant(np.random.randn(6), name="bias", dtype=dtype)
+      t = nn.bias_add(conv, b, data_format="NCHW", name="biasAdd")
+      relu = nn.relu(t, "relu")
+      idty = array_ops.identity(relu, "ID")
+      v = nn_ops.max_pool(
+          idty, [1, 1, 2, 2], [1, 1, 2, 2],
+          "VALID",
+          data_format="NCHW",
+          name="max_pool")
+      array_ops.squeeze(v, name="output")
+    return trt_test.TfTrtIntegrationTestParams(
+        gdef=g.as_graph_def(),
+        input_names=[input_name],
+        input_dims=[input_dims],
+        num_expected_engines=1,
+        expected_output_dims=(5, 6, 2, 2),
+        allclose_atol=1.e-03,
+        allclose_rtol=1.e-03)
+
+
+if __name__ == "__main__":
+  test.main()