| /external/tensorflow/tensorflow/core/lib/gtl/ |
| optional.cc | 16 #include "tensorflow/core/lib/gtl/optional.h"
19 namespace gtl { namespace in namespace:tensorflow
24 } // namespace gtl
|
| iterator_range_test.cc | 16 #include "tensorflow/core/lib/gtl/iterator_range.h"
24 namespace gtl { namespace in namespace:tensorflow
75 } // namespace gtl
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| iterator_range.h | 31 namespace gtl { namespace in namespace:tensorflow
65 } // namespace gtl
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| priority_queue_util.h | 24 namespace gtl { namespace in namespace:tensorflow
52 } // namespace gtl
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| cleanup.h | 25 // auto fp_cleaner = gtl::MakeCleanup([fp] { fclose(fp); });
51 namespace gtl { namespace in namespace:tensorflow
54 // destroyed. Cleanup<F> is the return type of gtl::MakeCleanup(F).
110 } // namespace gtl
|
| compactptrset_test.cc | 16 #include "tensorflow/core/lib/gtl/compactptrset.h"
23 namespace gtl { namespace in namespace:tensorflow
103 } // namespace gtl
|
| edit_distance.h | 21 #include "tensorflow/core/lib/gtl/array_slice.h"
22 #include "tensorflow/core/lib/gtl/inlined_vector.h"
25 namespace gtl { namespace in namespace:tensorflow
47 inline int64 LevenshteinDistance(const gtl::ArraySlice<T>& s,
48 const gtl::ArraySlice<T>& t, const Cmp& cmp) {
61 gtl::InlinedVector<int64, 32> scratch_holder(t_size);
100 gtl::ArraySlice<typename Container1::value_type>(s.data(), s.size()),
101 gtl::ArraySlice<typename Container1::value_type>(t.data(), t.size()),
105 } // namespace gtl
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| map_util.h | 30 namespace gtl { namespace in namespace:tensorflow
158 } // namespace gtl
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| stl_util.h | 30 namespace gtl { namespace in namespace:tensorflow
117 } // namespace gtl
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| edit_distance_test.cc | 16 #include "tensorflow/core/lib/gtl/edit_distance.h"
26 namespace gtl { namespace in namespace:tensorflow
94 LevenshteinDistance(gtl::ArraySlice<char>(lower_.data(), lower_.size()),
95 gtl::ArraySlice<char>(upper_.data(), upper_.size()),
127 LevenshteinDistance(gtl::ArraySlice<char>(a.data(), len),
128 gtl::ArraySlice<char>(b.data(), len),
150 } // namespace gtl
|
| int_type.h | 165 namespace gtl { namespace in namespace:tensorflow
175 typedef ::tensorflow::gtl::IntType<int_type_name##_tag_, value_type> \
356 } // namespace gtl
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| manual_constructor.h | 36 namespace gtl { namespace in namespace:tensorflow
90 typename tensorflow::gtl::internal::AlignType<TF_LIB_GTL_ALIGN_OF(T), \
109 tensorflow::gtl::internal::AlignType<Size * sizeof(T)>::result
117 } // namespace gtl
|
| array_slice.h | 27 // std::vector<T> and util::gtl::InlinedVector<T, N>. Note that ArraySlice
33 // types (e.g. a vector, a util::gtl::InlinedVector, a C-style array,
46 // util::gtl::InlinedVector<int, 4> my_inline_vector;
63 // util::gtl::InlinedVector<int, 4> my_inline_vector;
70 // MyRoutine(gtl::ArraySlice<int>(my_array, 10));
88 // MyMutatingRoutine(gtl::MutableArraySlice<int>(my_array, 10));
101 #include "tensorflow/core/lib/gtl/array_slice_internal.h"
102 #include "tensorflow/core/lib/gtl/inlined_vector.h"
105 namespace gtl { namespace in namespace:tensorflow
311 } // namespace gtl
[all...] |
| compactptrset.h | 20 #include "tensorflow/core/lib/gtl/flatset.h"
23 namespace gtl { namespace in namespace:tensorflow
205 } // namespace gtl
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| top_n.h | 51 namespace gtl { namespace in namespace:tensorflow
336 } // namespace gtl
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| array_slice_internal.h | 35 namespace gtl { namespace in namespace:tensorflow
266 } // namespace gtl
|
| array_slice_test.cc | 16 #include "tensorflow/core/lib/gtl/array_slice.h"
23 #include "tensorflow/core/lib/gtl/inlined_vector.h"
24 #include "tensorflow/core/lib/gtl/stl_util.h"
30 namespace gtl { namespace in namespace:tensorflow
57 EXPECT_EQ(v.begin(), gtl::vector_as_array(&vec));
665 } // namespace gtl
|
| flatrep.h | 25 namespace gtl { namespace in namespace:tensorflow
328 } // namespace gtl
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| flatset_test.cc | 16 #include "tensorflow/core/lib/gtl/flatset.h"
26 namespace gtl { namespace in namespace:tensorflow
604 } // namespace gtl
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| optional.h | 28 namespace gtl { namespace in namespace:tensorflow
30 // A value of type gtl::optional<T> holds either a value of T or an
33 // is based on the upcoming std::optional<T>, and gtl::optional<T> is
40 // Differences between gtl::optional<T> and std::optional<T> include:
54 // #include "tensorflow/core/lib/gtl/optional.h"
56 // tensorflow::gtl::optional<string> f() {
64 // return tensorflow::gtl::nullopt;
69 // tensorflow::gtl::optional<string> optstr = f();
856 } // namespace gtl
864 struct hash<::tensorflow::gtl::optional<T>>
[all...] |
| flatmap.h | 24 #include "tensorflow/core/lib/gtl/flatrep.h"
30 namespace gtl { namespace in namespace:tensorflow
379 } // namespace gtl
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| flatmap_test.cc | 16 #include "tensorflow/core/lib/gtl/flatmap.h"
27 namespace gtl { namespace in namespace:tensorflow
692 } // namespace gtl
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| flatset.h | 24 #include "tensorflow/core/lib/gtl/flatrep.h"
30 namespace gtl { namespace in namespace:tensorflow
278 } // namespace gtl
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| inlined_vector.h | 45 #include "tensorflow/core/lib/gtl/manual_constructor.h"
54 namespace gtl { namespace in namespace:tensorflow
685 } // namespace gtl
|
