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CApiColocationTest.cs 3.7 kB

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  1. using Microsoft.VisualStudio.TestTools.UnitTesting;
  2. using System;
  3. using System.Collections.Generic;
  4. using System.Runtime.InteropServices;
  5. using System.Text;
  6. using Tensorflow;
  7. namespace TensorFlowNET.UnitTest
  8. {
  9. /// <summary>
  10. /// tensorflow\c\c_api_test.cc
  11. /// `class CApiColocationTest`
  12. /// </summary>
  13. [TestClass]
  14. public class CApiColocationTest : CApiTest, IDisposable
  15. {
  16. private Graph graph_ = new Graph();
  17. private Status s_ = new Status();
  18. private Operation feed1_;
  19. private Operation feed2_;
  20. private Operation constant_;
  21. private OperationDescription desc_;
  22. [TestInitialize]
  23. public void SetUp()
  24. {
  25. feed1_ = c_test_util.Placeholder(graph_, s_, "feed1");
  26. s_.Check();
  27. feed2_ = c_test_util.Placeholder(graph_, s_, "feed2");
  28. s_.Check();
  29. constant_ = c_test_util.ScalarConst(10, graph_, s_);
  30. s_.Check();
  31. desc_ = graph_.NewOperation("AddN", "add");
  32. TF_Output[] inputs = { new TF_Output(feed1_, 0), new TF_Output(constant_, 0) };
  33. desc_.AddInputList(inputs);
  34. }
  35. private void SetViaStringList(OperationDescription desc, string[] list)
  36. {
  37. var list_ptrs = new IntPtr[list.Length];
  38. var list_lens = new uint[list.Length];
  39. StringVectorToArrays(list, list_ptrs, list_lens);
  40. c_api.TF_SetAttrStringList(desc, "_class", list_ptrs, list_lens, list.Length);
  41. }
  42. private void StringVectorToArrays(string[] v, IntPtr[] ptrs, uint[] lens)
  43. {
  44. for (int i = 0; i < v.Length; ++i)
  45. {
  46. ptrs[i] = Marshal.StringToHGlobalAnsi(v[i]);
  47. lens[i] = (uint)v[i].Length;
  48. }
  49. }
  50. private void FinishAndVerify(OperationDescription desc, string[] expected)
  51. {
  52. var op = desc_.FinishOperation(s_);
  53. ASSERT_EQ(TF_Code.TF_OK, s_.Code);
  54. VerifyCollocation(op, expected);
  55. }
  56. private void VerifyCollocation(Operation op, string[] expected)
  57. {
  58. var handle = c_api.TF_OperationGetAttrMetadata(op, "_class", s_);
  59. TF_AttrMetadata m = new TF_AttrMetadata();
  60. if (expected.Length == 0)
  61. {
  62. ASSERT_EQ(TF_Code.TF_INVALID_ARGUMENT, s_.Code);
  63. EXPECT_EQ("Operation 'add' has no attr named '_class'.", s_.Message);
  64. return;
  65. }
  66. EXPECT_EQ(TF_Code.TF_OK, s_.Code);
  67. // EXPECT_EQ(1, m.is_list);
  68. // EXPECT_EQ(expected.Length, m.list_size);
  69. // EXPECT_EQ(TF_AttrType.TF_ATTR_STRING, m.type);
  70. string[] values = new string[expected.Length];
  71. uint[] lens = new uint[expected.Length];
  72. string[] storage = new string[m.total_size];
  73. //c_api.TF_OperationGetAttrStringList(op, "_class", values, lens, expected.Length, storage, m.total_size, s_);
  74. // EXPECT_EQ(TF_Code.TF_OK, s_.Code);
  75. for (int i = 0; i < expected.Length; ++i)
  76. {
  77. // EXPECT_EQ(expected[i], values[i] + lens[i]);
  78. }
  79. }
  80. [TestMethod]
  81. public void ColocateWith()
  82. {
  83. c_api.TF_ColocateWith(desc_, feed1_);
  84. FinishAndVerify(desc_, new string[] { "loc:@feed1" });
  85. }
  86. [TestMethod]
  87. public void StringList()
  88. {
  89. SetViaStringList(desc_, new string[] { "loc:@feed1" });
  90. FinishAndVerify(desc_, new string[] { "loc:@feed1" });
  91. }
  92. public void Dispose()
  93. {
  94. graph_.Dispose();
  95. s_.Dispose();
  96. }
  97. }
  98. }

tensorflow框架的.NET版本,提供了丰富的特性和API,可以借此很方便地在.NET平台下搭建深度学习训练与推理流程。