1 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 package org.tensorflow; 17 18 import static org.junit.Assert.assertNotNull; 19 import static org.junit.Assert.assertTrue; 20 import static org.junit.Assert.fail; 21 22 import org.junit.Test; 23 import org.junit.runner.RunWith; 24 import org.junit.runners.JUnit4; 25 26 /** Unit tests for {@link org.tensorflow.SavedModelBundle}. */ 27 @RunWith(JUnit4.class) 28 public class SavedModelBundleTest { 29 30 private static final String SAVED_MODEL_PATH = 31 "tensorflow/cc/saved_model/testdata/half_plus_two/00000123"; 32 33 @Test load()34 public void load() { 35 try (SavedModelBundle bundle = SavedModelBundle.load(SAVED_MODEL_PATH, "serve")) { 36 assertNotNull(bundle.session()); 37 assertNotNull(bundle.graph()); 38 assertNotNull(bundle.metaGraphDef()); 39 } 40 } 41 42 @Test loadNonExistentBundle()43 public void loadNonExistentBundle() { 44 try { 45 SavedModelBundle bundle = SavedModelBundle.load("__BAD__", "serve"); 46 bundle.close(); 47 fail("not expected"); 48 } catch (org.tensorflow.TensorFlowException e) { 49 // expected exception 50 assertTrue(e.getMessage().contains("Could not find SavedModel")); 51 } 52 } 53 54 @Test loader()55 public void loader() { 56 try (SavedModelBundle bundle = SavedModelBundle.loader(SAVED_MODEL_PATH) 57 .withTags("serve") 58 .withConfigProto(sillyConfigProto()) 59 .withRunOptions(sillyRunOptions()) 60 .load()) { 61 assertNotNull(bundle.session()); 62 assertNotNull(bundle.graph()); 63 assertNotNull(bundle.metaGraphDef()); 64 } 65 } 66 sillyRunOptions()67 private static byte[] sillyRunOptions() { 68 // Ideally this would use the generated Java sources for protocol buffers 69 // and end up with something like the snippet below. However, generating 70 // the Java files for the .proto files in tensorflow/core:protos_all is 71 // a bit cumbersome in bazel until the proto_library rule is setup. 72 // 73 // See https://github.com/bazelbuild/bazel/issues/52#issuecomment-194341866 74 // https://github.com/bazelbuild/rules_go/pull/121#issuecomment-251515362 75 // https://github.com/bazelbuild/rules_go/pull/121#issuecomment-251692558 76 // 77 // For this test, for now, the use of specific bytes suffices. 78 return new byte[] {0x08, 0x03}; 79 /* 80 return org.tensorflow.framework.RunOptions.newBuilder() 81 .setTraceLevel(RunOptions.TraceLevel.FULL_TRACE) 82 .build() 83 .toByteArray(); 84 */ 85 } 86 sillyConfigProto()87 public static byte[] sillyConfigProto() { 88 // Ideally this would use the generated Java sources for protocol buffers 89 // and end up with something like the snippet below. However, generating 90 // the Java files for the .proto files in tensorflow/core:protos_all is 91 // a bit cumbersome in bazel until the proto_library rule is setup. 92 // 93 // See https://github.com/bazelbuild/bazel/issues/52#issuecomment-194341866 94 // https://github.com/bazelbuild/rules_go/pull/121#issuecomment-251515362 95 // https://github.com/bazelbuild/rules_go/pull/121#issuecomment-251692558 96 // 97 // For this test, for now, the use of specific bytes suffices. 98 return new byte[] {0x10, 0x01, 0x28, 0x01}; 99 /* 100 return org.tensorflow.framework.ConfigProto.newBuilder() 101 .setInterOpParallelismThreads(1) 102 .setIntraOpParallelismThreads(1) 103 .build() 104 .toByteArray(); 105 */ 106 } 107 } 108