| /external/tensorflow/tensorflow/python/eager/ |
| pywrap_tensor.h | 23 tensorflow::int64 EagerTensor_id(const PyObject* tensor);
|
| /external/libtextclassifier/util/base/ |
| integral_types.h | 42 typedef __int64 int64; typedef in namespace:libtextclassifier2
44 typedef long long int64; // NOLINT typedef in namespace:libtextclassifier2
56 static_assert(sizeof(int64) == 8, "wrong size");
|
| /external/tensorflow/tensorflow/compiler/xla/ |
| array3d.h | 39 Array3D() : Array<T>(std::vector<int64>{0, 0, 0}) {}
42 Array3D(const int64 n1, const int64 n2, const int64 n3)
43 : Array<T>(std::vector<int64>{n1, n2, n3}) {}
46 Array3D(const int64 n1, const int64 n2, const int64 n3, const T value)
47 : Array<T>(std::vector<int64>{n1, n2, n3}, value) {}
70 int64 n1() const { return this->dim(0);
[all...] |
| array2d.cc | 22 int64 n1, int64 n2) {
24 int64 count = n1 * n2;
26 auto set = [&array, n1, n2](int64 index, float value) {
29 for (int64 i = 0; i < count - 1; ++i) {
|
| /external/tensorflow/tensorflow/compiler/xla/service/ |
| bfloat16_support.h | 32 int64 operand_index) const;
50 const HloInstruction& hlo, int64 operand_index);
55 int64 operand_index) const;
|
| hlo_rematerialization.h | 30 using ShapeSizeFunction = std::function<int64(const Shape&)>;
35 int64 before_bytes;
36 int64 after_bytes;
68 const ShapeSizeFunction& size_function, int64 memory_limit_bytes,
86 int64 memory_limit, RematerializationSizes* sizes);
95 int64 computation_memory_limit);
101 StatusOr<int64> ComputePeakMemory(
107 StatusOr<int64> CalledComputationsMemoryUsage(
123 tensorflow::gtl::FlatMap<const HloComputation*, int64>
133 int64 instructions_rematerialized_ = 0
[all...] |
| /external/tensorflow/tensorflow/core/distributed_runtime/ |
| call_options.h | 64 int64 GetTimeout();
65 void SetTimeout(int64 ms);
72 int64 timeout_in_ms_ GUARDED_BY(mu_);
|
| worker_cache_logger.h | 48 bool RetrieveLogs(int64 step_id, StepStats* ss);
59 void RecordRecvTensor(int64 step_id, int64 start_usecs, int64 end_usecs,
61 const string& dst_device, int64 bytes);
65 void RecordDataTransfer(int64 step_id, int64 start_usecs, int64 end_usecs,
67 const string& dst_device, int64 bytes,
79 typedef std::unordered_map<int64, StepLog> LogMap
[all...] |
| /external/tensorflow/tensorflow/core/lib/io/ |
| inputstream_interface.h | 35 virtual Status ReadNBytes(int64 bytes_to_read, string* result) = 0;
41 virtual Status SkipNBytes(int64 bytes_to_skip);
48 virtual int64 Tell() const = 0;
|
| random_inputstream.h | 35 Status ReadNBytes(int64 bytes_to_read, string* result) override;
37 Status SkipNBytes(int64 bytes_to_skip) override;
39 int64 Tell() const override;
41 Status Seek(int64 position) {
50 int64 pos_ = 0; // Tracks where we are in the file.
|
| /external/tensorflow/tensorflow/core/util/ |
| overflow_test.cc | 26 std::vector<int64> interesting = {0, std::numeric_limits<int64>::max()};
28 int64 bit = static_cast<int64>(1) << i;
33 for (const int64 mid : {static_cast<int64>(1) << 32,
34 static_cast<int64>(std::pow(2, 63.0 / 2))}) {
43 int64 xy = MultiplyWithoutOverflow(x, y);
45 if (dxy > std::numeric_limits<int64>::max()) {
55 const int64 negatives[] = {-1, std::numeric_limits<int64>::min()}
[all...] |
| work_sharder_test.cc | 30 void RunSharding(int64 num_workers, int64 total, int64 cost_per_unit,
33 int64 num_shards = 0;
34 int64 num_done_work = 0;
37 [=, &mu, &num_shards, &num_done_work, &work](int64 start, int64 limit) {
68 const int64 total_elements = 1LL << 32;
69 const int64 cost_per_unit = 10;
70 std::atomic<int64> num_elements(0)
[all...] |
| /external/tensorflow/tensorflow/python/grappler/ |
| cost_analyzer.h | 38 int64 count;
39 int64 time;
40 int64 compute_time;
41 int64 memory_time;
43 int64 time_upper;
44 int64 time_lower;
57 int64* total_time);
69 int64 total_time_measured_;
70 int64 total_time_analytical_;
72 int64 total_time_measured_serialized_
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| spacetobatch_functor.cc | 39 static void run(T* space_tensor_ptr, const int64* space_tensor_shape,
40 const int64* space_tensor_strides, const int64* block_shape,
41 const int64* pad_start, const int64* block_offsets,
42 const int64* batch_tensor_shape,
43 const int64* batch_tensor_strides, T* batch_tensor_ptr) {
44 for (int64 batch_tensor_pos = 0; batch_tensor_pos < batch_tensor_shape[0];
46 const int64 space_tensor_pos =
57 for (int64 i = 0; i < batch_tensor_strides[0]; ++i)
[all...] |
| cudnn_pooling_gpu.h | 42 const std::array<int64, 3>& size,
43 const std::array<int64, 3>& stride,
44 const std::array<int64, 3>& padding,
56 const std::array<int64, 3>& window,
57 const std::array<int64, 3>& stride,
58 const std::array<int64, 3>& padding,
59 const std::array<int64, 3>& output_size,
|
| /external/valgrind/none/tests/amd64/ |
| fb_test_amd64_muldiv.h | 2 void glue(glue(test_, OP), b)(int64 op0, int64 op1)
4 int64 res, s1, s0, flags;
20 void glue(glue(test_, OP), w)(int64 op0h, int64 op0, int64 op1)
22 int64 res, s1, flags, resh;
38 void glue(glue(test_, OP), l)(int64 op0h, int64 op0, int64 op1)
[all...] |
| /external/protobuf/src/google/protobuf/stubs/ |
| time.h | 52 bool LIBPROTOBUF_EXPORT SecondsToDateTime(int64 seconds, DateTime* time);
55 bool LIBPROTOBUF_EXPORT DateTimeToSeconds(const DateTime& time, int64* seconds);
57 void LIBPROTOBUF_EXPORT GetCurrentTime(int64* seconds, int32* nanos);
66 string LIBPROTOBUF_EXPORT FormatTime(int64 seconds, int32 nanos);
69 bool LIBPROTOBUF_EXPORT ParseTime(const string& vaule, int64* seconds, int32* nanos);
|
| /external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
| runtime_fft.cc | 26 using tensorflow::int64;
30 int32 fft_rank, int64 input_batch, int64 fft_length0, int64 fft_length1,
31 int64 fft_length2) {
|
| /external/tensorflow/tensorflow/core/grappler/costs/ |
| op_performance_data.proto | 62 int64 intra_op_parallelism = 1;
78 int64 temporary_memory_size = 2;
81 int64 compute_cost = 3;
84 int64 compute_time = 6;
87 int64 memory_time = 7;
104 repeated int64 output_memory = 1;
107 int64 temp_memory = 2;
108 int64 persistent_memory = 4;
110 int64 device_temp_memory = 3 [deprecated = true];
111 int64 device_persistent_memory = 5 [deprecated = true]
[all...] |
| /external/tensorflow/tensorflow/examples/speech_commands/ |
| accuracy_utils.h | 43 std::vector<std::pair<string, int64>>* result);
50 const std::vector<std::pair<string, int64>>& ground_truth_list,
51 const std::vector<std::pair<string, int64>>& found_words,
52 int64 up_to_time_ms, int64 time_tolerance_ms,
|
| /frameworks/base/core/proto/android/server/ |
| alarmmanagerservice.proto | 34 optional int64 current_time = 1;
35 optional int64 elapsed_realtime = 2;
36 optional int64 last_time_change_clock_time = 3;
37 optional int64 last_time_change_realtime = 4;
46 optional int64 time_since_non_interactive_ms = 8;
48 optional int64 max_wakeup_delay_ms = 9;
50 optional int64 time_since_last_dispatch_ms = 10;
52 optional int64 time_until_next_non_wakeup_delivery_ms = 11;
56 optional int64 time_until_next_non_wakeup_alarm_ms = 12;
57 optional int64 time_until_next_wakeup_ms = 13
[all...] |
| /frameworks/base/cmds/statsd/src/ |
| stats_log.proto | 32 int64 value_long = 4;
45 optional int64 elapsed_timestamp_nanos = 1;
49 optional int64 wall_clock_timestamp_nanos = 3;
53 optional int64 start_bucket_elapsed_nanos = 1;
55 optional int64 end_bucket_elapsed_nanos = 2;
57 optional int64 count = 3;
59 optional int64 bucket_num = 4;
61 optional int64 start_bucket_elapsed_millis = 5;
63 optional int64 end_bucket_elapsed_millis = 6;
79 optional int64 start_bucket_elapsed_nanos = 1
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/ |
| parallel_for.cc | 22 void ParallelFor(int64 batch_size, int64 desired_parallelism,
24 std::function<void(int64, int64)> do_work) {
31 1, std::min(static_cast<int64>(desired_parallelism), batch_size));
32 const int64 block_size = (batch_size + num_shards - 1) / num_shards;
36 for (int64 start = block_size; start < batch_size; start += block_size) {
|
| /frameworks/base/core/proto/android/service/ |
| diskstats.proto | 58 optional int64 agg_apps_size_kb = 1;
60 optional int64 agg_apps_cache_size_kb = 2;
62 optional int64 photos_size_kb = 3;
64 optional int64 videos_size_kb = 4;
66 optional int64 audio_size_kb = 5;
68 optional int64 downloads_size_kb = 6;
70 optional int64 system_size_kb = 7;
72 optional int64 other_size_kb = 8;
76 optional int64 agg_apps_data_size_kb = 10;
85 optional int64 app_size_kb = 2
[all...] |
| /external/tensorflow/tensorflow/core/util/sparse/ |
| group_iterator.h | 36 Group(GroupIterable* iter, int64 loc, int64 next_loc)
39 std::vector<int64> group() const;
40 TTypes<int64>::UnalignedConstMatrix indices() const;
46 int64 loc_;
47 int64 next_loc_;
78 typedef gtl::ArraySlice<int64> VarDimArray;
86 IteratorStep at(int64 loc) {
94 inline bool GroupMatches(const TIX& ix, int64 loc_a, int64 loc_b) const
[all...] |
