You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

test_2ops.py 4.3 kB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146
  1. # Copyright 2019 Huawei Technologies Co., Ltd
  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. import mindspore.dataset as ds
  16. from mindspore import log as logger
  17. from util import save_and_check_dict
  18. DATA_DIR = ["../data/dataset/testTFTestAllTypes/test.data"]
  19. SCHEMA_DIR = "../data/dataset/testTFTestAllTypes/datasetSchema.json"
  20. GENERATE_GOLDEN = False
  21. def test_2ops_repeat_shuffle():
  22. """
  23. Test Repeat then Shuffle
  24. """
  25. logger.info("Test Repeat then Shuffle")
  26. # define parameters
  27. repeat_count = 2
  28. buffer_size = 5
  29. seed = 0
  30. # apply dataset operations
  31. data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
  32. data1 = data1.repeat(repeat_count)
  33. ds.config.set_seed(seed)
  34. data1 = data1.shuffle(buffer_size=buffer_size)
  35. filename = "test_2ops_repeat_shuffle.npz"
  36. save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
  37. def test_2ops_shuffle_repeat():
  38. """
  39. Test Shuffle then Repeat
  40. """
  41. logger.info("Test Shuffle then Repeat")
  42. # define parameters
  43. repeat_count = 2
  44. buffer_size = 5
  45. seed = 0
  46. # apply dataset operations
  47. data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
  48. ds.config.set_seed(seed)
  49. data1 = data1.shuffle(buffer_size=buffer_size)
  50. data1 = data1.repeat(repeat_count)
  51. filename = "test_2ops_shuffle_repeat.npz"
  52. save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
  53. def test_2ops_repeat_batch():
  54. """
  55. Test Repeat then Batch
  56. """
  57. logger.info("Test Repeat then Batch")
  58. # define parameters
  59. repeat_count = 2
  60. batch_size = 5
  61. # apply dataset operations
  62. data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
  63. data1 = data1.repeat(repeat_count)
  64. data1 = data1.batch(batch_size, drop_remainder=True)
  65. filename = "test_2ops_repeat_batch.npz"
  66. save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
  67. def test_2ops_batch_repeat():
  68. """
  69. Test Batch then Repeat
  70. """
  71. logger.info("Test Batch then Repeat")
  72. # define parameters
  73. repeat_count = 2
  74. batch_size = 5
  75. # apply dataset operations
  76. data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
  77. data1 = data1.batch(batch_size, drop_remainder=True)
  78. data1 = data1.repeat(repeat_count)
  79. filename = "test_2ops_batch_repeat.npz"
  80. save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
  81. def test_2ops_batch_shuffle():
  82. """
  83. Test Batch then Shuffle
  84. """
  85. logger.info("Test Batch then Shuffle")
  86. # define parameters
  87. buffer_size = 5
  88. seed = 0
  89. batch_size = 2
  90. # apply dataset operations
  91. data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
  92. data1 = data1.batch(batch_size, drop_remainder=True)
  93. ds.config.set_seed(seed)
  94. data1 = data1.shuffle(buffer_size=buffer_size)
  95. filename = "test_2ops_batch_shuffle.npz"
  96. save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
  97. def test_2ops_shuffle_batch():
  98. """
  99. Test Shuffle then Batch
  100. """
  101. logger.info("Test Shuffle then Batch")
  102. # define parameters
  103. buffer_size = 5
  104. seed = 0
  105. batch_size = 2
  106. # apply dataset operations
  107. data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, shuffle=False)
  108. ds.config.set_seed(seed)
  109. data1 = data1.shuffle(buffer_size=buffer_size)
  110. data1 = data1.batch(batch_size, drop_remainder=True)
  111. filename = "test_2ops_shuffle_batch.npz"
  112. save_and_check_dict(data1, filename, generate_golden=GENERATE_GOLDEN)
  113. if __name__ == '__main__':
  114. test_2ops_repeat_shuffle()
  115. test_2ops_shuffle_repeat()
  116. test_2ops_repeat_batch()
  117. test_2ops_batch_repeat()
  118. test_2ops_batch_shuffle()
  119. test_2ops_shuffle_batch()