Searched refs:hypothesis (Results 1 – 16 of 16) sorted by relevance
/external/tensorflow/tensorflow/python/kernel_tests/ |
D | edit_distance_op_test.py | 48 hypothesis=hypothesis_st, truth=truth_st, normalize=normalize) 59 hypothesis, argument 67 max(h, t) for h, t in tuple(zip(hypothesis[2], truth[2]))[:-1] 75 *[ConstantOf(x) for x in hypothesis]), 88 *[ConstantOf(x) for x in hypothesis]), 105 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape), 120 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape), 140 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape), 146 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape), 164 hypothesis=(hypothesis_indices, hypothesis_values, hypothesis_shape), [all …]
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_EditDistance.pbtxt | 6 The indices of the hypothesis list SparseTensor. 13 The values of the hypothesis list SparseTensor. 20 The shape of the hypothesis list SparseTensor. 51 // hypothesis represents a 2x1 matrix with variable-length values: 75 output = [[inf, 1.0], // (0,0): no truth, (0,1): no hypothesis 76 [0.5, 1.0]] // (1,0): addition, (1,1): no hypothesis
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/external/tensorflow/tensorflow/core/kernels/ |
D | edit_distance_op.cc | 136 sparse::SparseTensor hypothesis; in Compute() local 139 hypothesis_st_shape, sorted_order, &hypothesis)); in Compute() 168 auto hypothesis_grouper = hypothesis.group(group_dims); in Compute()
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/external/walt/pywalt/ |
D | .gitignore | 46 .hypothesis/
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/external/google-benchmark/docs/ |
D | tools.md | 189 null hypothesis that it is equally likely that a randomly selected value from 195 null hypothesis is rejected. Which in other words means that the two benchmarks
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/external/libcxx/utils/google-benchmark/docs/ |
D | tools.md | 189 null hypothesis that it is equally likely that a randomly selected value from 195 null hypothesis is rejected. Which in other words means that the two benchmarks
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/external/tensorflow/tensorflow/python/ops/ |
D | array_ops.py | 2489 def edit_distance(hypothesis, truth, normalize=True, name="edit_distance"): argument 2548 if not isinstance(hypothesis, (sparse_tensor.SparseTensor, 2556 hypothesis.indices, 2557 hypothesis.values, 2558 hypothesis.dense_shape,
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/external/python/cpython3/Doc/library/ |
D | random.rst | 440 print(f'hypothesis that there is no difference between the drug and the placebo.')
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.pbtxt | 565 …argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, …
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.pbtxt | 1145 …argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, …
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/external/pcre/dist2/testdata/ |
D | testinput1 | 5264 # Tests that try to figure out how Perl works. My hypothesis is that the first
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D | testoutput1 | 8445 # Tests that try to figure out how Perl works. My hypothesis is that the first
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/external/jline/src/src/test/resources/jline/example/ |
D | english.gz |
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/external/cldr/tools/java/org/unicode/cldr/util/data/transforms/ |
D | en-IPA.txt | 5651 $x{hypothesis → hɑɪpɑθəsəs ; # hɑɪpoðɛzɪz hɪpɑðɛzɪz
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D | internal_raw_IPA.txt | 80607 hypothesis %40829 haɪpˈɑθɪsɪs, haɪpˈɔθɪsɪs, hɑɪpˈɑθəsəs
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D | internal_raw_IPA-old.txt | 95463 hypothesis %31868 haɪpˈɑθɪsɪs, haɪpˈɔθɪsɪs, hạpˈɑθəsəs
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