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Diffstat (limited to 'tensorflow/contrib/tensorrt/test/unary_test.py')
| -rw-r--r-- | tensorflow/contrib/tensorrt/test/unary_test.py | 110 |
1 files changed, 110 insertions, 0 deletions
diff --git a/tensorflow/contrib/tensorrt/test/unary_test.py b/tensorflow/contrib/tensorrt/test/unary_test.py new file mode 100644 index 0000000000..b9e977cf67 --- /dev/null +++ b/tensorflow/contrib/tensorrt/test/unary_test.py @@ -0,0 +1,110 @@ +# 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_array_ops +from tensorflow.python.ops import gen_math_ops +from tensorflow.python.ops import math_ops +from tensorflow.python.platform import test + + +class UnaryTest(trt_test.TfTrtIntegrationTestBase): + + def GetParams(self): + """Test for unary operations in TF-TRT.""" + dtype = dtypes.float32 + input_name = "input" + input_dims = [12, 5, 8, 1, 1, 12] + input2_name = "input_2" + input2_dims = [12, 5, 8, 1, 12, 1, 1] + g = ops.Graph() + with g.as_default(): + x = array_ops.placeholder(dtype=dtype, shape=input_dims, name=input_name) + q = math_ops.abs(x) + q = q + 1.0 + q = gen_math_ops.exp(q) + q = gen_math_ops.log(q) + q = array_ops.squeeze(q, axis=-2) + q = math_ops.abs(q) + q = q + 2.2 + q = gen_math_ops.sqrt(q) + q = gen_math_ops.rsqrt(q) + q = math_ops.negative(q) + q = array_ops.squeeze(q, axis=3) + q = math_ops.abs(q) + q = q + 3.0 + a = gen_math_ops.reciprocal(q) + + x = constant_op.constant(np.random.randn(5, 8, 12), dtype=dtype) + q = math_ops.abs(x) + q = q + 2.0 + q = gen_math_ops.exp(q) + q = gen_math_ops.log(q) + q = math_ops.abs(q) + q = q + 2.1 + q = gen_math_ops.sqrt(q) + q = gen_math_ops.rsqrt(q) + q = math_ops.negative(q) + q = math_ops.abs(q) + q = q + 4.0 + b = gen_math_ops.reciprocal(q) + + # TODO(jie): this one will break, broadcasting on batch. + x = array_ops.placeholder( + dtype=dtype, shape=input2_dims, name=input2_name) + q = math_ops.abs(x) + q = q + 5.0 + q = gen_math_ops.exp(q) + q = array_ops.squeeze(q, axis=[-1, -2, 3]) + q = gen_math_ops.log(q) + q = math_ops.abs(q) + q = q + 5.1 + q = gen_array_ops.reshape(q, [12, 5, 1, 1, 8, 1, 12]) + q = array_ops.squeeze(q, axis=[5, 2, 3]) + q = gen_math_ops.sqrt(q) + q = math_ops.abs(q) + q = q + 5.2 + q = gen_math_ops.rsqrt(q) + q = math_ops.negative(q) + q = math_ops.abs(q) + q = q + 5.3 + c = gen_math_ops.reciprocal(q) + + q = a * b + q = q / c + array_ops.squeeze(q, name=self.output_name) + return trt_test.TfTrtIntegrationTestParams( + gdef=g.as_graph_def(), + input_names=[input_name, input2_name], + input_dims=[input_dims, input2_dims], + num_expected_engines=5, + expected_output_dims=(12, 5, 8, 12), + allclose_atol=1.e-03, + allclose_rtol=1.e-03) + + +if __name__ == "__main__": + test.main() |