/external/tensorflow/tensorflow/compiler/tf2xla/g3doc/ |
D | cpu_supported_ops.md | 5 `Abs` | `T={double,float,int32,int64}` 6 `Acos` | `T={complex64,double,float,int32,int64}` 8 `Add` | `T={complex64,double,float,int32,int64}` 9 `AddN` | `T={complex64,double,float,int32,int64,uint32,uint64}` 13 `All` | `Tidx={int32,int64}` 15 `Any` | `Tidx={int32,int64}` 16 `ApproximateEqual` | `T={complex64,double,float,int32,int64,uint32,uint64}` 17 `ArgMax` | `Tidx={int32,int64}`<br>`output_type={int32,int64}`<br>`T={… 18 … | `Tidx={int32,int64}`<br>`output_type={int32,int64}`<br>`T={complex64,double… 19 `Asin` | `T={complex64,double,float,int32,int64}` [all …]
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D | gpu_supported_ops.md | 5 `Abs` | `T={double,float,int32,int64}` 6 `Acos` | `T={complex64,double,float,int32,int64}` 8 `Add` | `T={complex64,double,float,int32,int64}` 9 `AddN` | `T={complex64,double,float,int32,int64,uint32,uint64}` 13 `All` | `Tidx={int32,int64}` 15 `Any` | `Tidx={int32,int64}` 16 `ApproximateEqual` | `T={complex64,double,float,int32,int64,uint32,uint64}` 17 … | `Tidx={int32,int64}`<br>`output_type={int32,int64}`<br>`T={complex64,double… 18 … | `Tidx={int32,int64}`<br>`output_type={int32,int64}`<br>`T={complex64,double… 19 `Asin` | `T={complex64,double,float,int32,int64}` [all …]
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/external/tensorflow/tensorflow/core/profiler/ |
D | tfprof_output.proto | 13 repeated int64 value_int64 = 3; 26 int64 run_count = 21; 27 int64 exec_micros = 2; 28 int64 accelerator_exec_micros = 17; 29 int64 cpu_exec_micros = 18; 32 int64 requested_bytes = 3; 34 int64 peak_bytes = 24; 36 int64 residual_bytes = 25; 38 int64 output_bytes = 26; 41 int64 parameters = 4; [all …]
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D | profile.proto | 13 int64 drop_frames = 7; 14 int64 keep_frames = 8; 15 int64 time_nanos = 9; 16 int64 duration_nanos = 10; 18 int64 period = 12; 19 repeated int64 comment = 13; 20 int64 default_sample_type = 14; 24 int64 type = 1; 25 int64 unit = 2; 30 repeated int64 value = 2; [all …]
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D | tfprof_log.proto | 14 int64 file_id = 6; 19 int64 function_id = 7; 22 int64 line_id = 8; 34 int64 float_ops = 2; 47 map<int64, string> id_to_string = 2; 55 map<int64, ProfileNode> nodes = 1; 62 repeated int64 steps = 3; 66 map<int64, string> id_to_string = 4; 75 int64 id = 13; 77 map<int32, int64> inputs = 2; [all …]
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/external/tensorflow/tensorflow/core/ops/ |
D | sparse_ops.cc | 47 .Input("a_indices: int64") 48 .Input("b_indices: int64") 49 .Input("sum_indices: int64") 64 .Input("a_indices: int64") 66 .Input("a_shape: int64") 67 .Input("b_indices: int64") 69 .Input("b_shape: int64") 71 .Output("sum_indices: int64") 73 .Output("sum_shape: int64") 89 .Input("a_shape: int64") [all …]
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/external/tensorflow/tensorflow/core/kernels/ |
D | ragged_tensor_from_variant_op_test.cc | 79 const std::vector<int64> split_1 = {0, 1, 2, 3, 4, 5}; in TEST_F() 80 const std::vector<int64> split_2 = {0, 1, 2, 5, 6, 7}; in TEST_F() 83 auto encoded_variant = CreateVariantFromRagged<int, int64>( in TEST_F() 89 test::FillValues<int64>(&expected_splits_1, split_1); in TEST_F() 90 test::FillValues<int64>(&expected_splits_2, split_2); in TEST_F() 95 BuildDecodeRaggedTensorGraph<int, int64>(input_ragged_rank, in TEST_F() 100 test::ExpectTensorEqual<int64>(*GetOutput(0), expected_splits_1); in TEST_F() 101 test::ExpectTensorEqual<int64>(*GetOutput(1), expected_splits_2); in TEST_F() 106 const std::vector<int64> split_1 = {0, 1, 2, 3, 4, 5}; in TEST_F() 107 const std::vector<int64> split_2 = {0, 1, 2, 5, 6, 7}; in TEST_F() [all …]
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D | sparse_add_op_test.cc | 65 std::initializer_list<int64> in{0, 1, 1, 0, 2, 0, 2, 1}; in TEST_F() 66 const gtl::ArraySlice<int64> indices(in); in TEST_F() 67 std::initializer_list<int64> sh{3, 2}; in TEST_F() 68 const gtl::ArraySlice<int64> shape(sh); in TEST_F() 71 AddInputFromArray<int64>(indices_shape, indices); \ in TEST_F() 73 AddInputFromArray<int64>(TensorShape({2}), shape); in TEST_F() 83 test::FillValues<int64>(&expected_indices, indices); in TEST_F() 84 test::ExpectTensorEqual<int64>(expected_indices, *GetOutput(0)); in TEST_F() 91 {static_cast<int64>(shape.size())}); in TEST_F() 92 test::FillValues<int64>(&expected_shape, shape); in TEST_F() [all …]
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D | sparse_cross_op.cc | 45 virtual int64 FeatureCount(int64_t batch) const = 0; 58 SparseTensorColumn(const Tensor& values, std::vector<int64> feature_counts, in SparseTensorColumn() 59 std::vector<int64> feature_start_indices) in SparseTensorColumn() 66 int64 FeatureCount(int64_t batch) const override { in FeatureCount() 77 std::vector<int64> feature_counts_; 78 std::vector<int64> feature_start_indices_; 86 std::vector<int64> feature_counts, in KeyedSparseTensorColumn() 87 std::vector<int64> feature_start_indices, in KeyedSparseTensorColumn() 88 std::vector<int64> key) in KeyedSparseTensorColumn() 96 int64 FeatureCount(int64_t batch) const override { in FeatureCount() [all …]
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D | ragged_tensor_to_variant_op_test.cc | 105 const std::vector<int64> batched_splits_1 = {0, 2, 3, 3}; in TEST_F() 106 const std::vector<int64> batched_splits_2 = {0, 0, 0, 0}; in TEST_F() 108 BuildEncodeRaggedTensorGraph<int, int64>({batched_splits_1, batched_splits_2}, in TEST_F() 115 ExpectRaggedTensorVariantEqual<int, int64>( in TEST_F() 116 CreateVariantFromRagged<int, int64>({{0, 0, 0}}, {}), in TEST_F() 118 ExpectRaggedTensorVariantEqual<int, int64>( in TEST_F() 119 CreateVariantFromRagged<int, int64>({{0, 0}}, {}), in TEST_F() 121 ExpectRaggedTensorVariantEqual<int, int64>( in TEST_F() 122 CreateVariantFromRagged<int, int64>({{0}}, {}), in TEST_F() 132 const std::vector<int64> batched_splits = {0, 3, 3, 5, 6}; [all …]
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/external/tensorflow/tensorflow/core/grappler/costs/ |
D | op_level_cost_estimator.h | 44 int64 num_compute_ops = 0; 48 std::vector<int64> num_input_bytes_accessed; // ordered by input tensors. 49 std::vector<int64> num_output_bytes_accessed; // ordered by output ports. 50 int64 internal_read_bytes = 0; 51 int64 internal_write_bytes = 0; 54 int64 num_total_input_bytes() const { in num_total_input_bytes() 58 int64 num_total_read_bytes() const { in num_total_read_bytes() 61 int64 num_total_output_bytes() const { in num_total_output_bytes() 65 int64 num_total_write_bytes() const { in num_total_write_bytes() 68 int64 num_bytes_accessed() const { in num_bytes_accessed() [all …]
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/external/tensorflow/tensorflow/compiler/xla/client/ |
D | xla_builder.h | 114 int64 handle() const { return handle_; } in handle() 122 int64 handle_; 391 int64 param_number; 436 XlaOp Broadcast(XlaOp operand, absl::Span<const int64> broadcast_sizes); 439 const absl::Span<const int64> out_dim_size, 440 const absl::Span<const int64> broadcast_dimensions); 451 XlaOp Reshape(XlaOp operand, absl::Span<const int64> dimensions, 452 absl::Span<const int64> new_sizes, 455 XlaOp Reshape(XlaOp operand, absl::Span<const int64> new_sizes, 462 absl::Span<const int64> new_size_bounds, [all …]
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/external/tensorflow/tensorflow/core/data/service/ |
D | journal.proto | 32 int64 dataset_id = 1; 45 int64 index = 2; 51 int64 job_id = 1; 52 int64 dataset_id = 2; 54 int64 num_split_providers = 8; 60 int64 num_consumers = 7; 68 int64 job_id = 1; 69 int64 repetition = 2; 70 int64 split_provider_index = 4; 77 int64 job_id = 1; [all …]
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/external/tensorflow/tensorflow/core/framework/ |
D | step_stats.proto | 17 int64 alloc_micros = 1; 19 int64 alloc_bytes = 2; 25 int64 total_bytes = 2; 26 int64 peak_bytes = 3; 28 int64 live_bytes = 4; 34 int64 allocator_bytes_in_use = 5; 45 int64 temp_memory_size = 1; 46 int64 persistent_memory_size = 3; 47 repeated int64 persistent_tensor_alloc_ids = 5; 49 int64 device_temp_memory_size = 2 [deprecated = true]; [all …]
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/external/perfetto/protos/perfetto/metrics/ |
D | perfetto_merged_metrics.proto | 28 optional int64 timestamp_ns = 1; 38 optional int64 total_screen_off_ns = 1; 39 optional int64 total_screen_on_ns = 2; 40 optional int64 total_screen_doze_ns = 3; 42 optional int64 total_wakelock_ns = 4; 45 optional int64 sleep_ns = 5; 46 optional int64 sleep_screen_off_ns = 6; 47 optional int64 sleep_screen_on_ns = 7; 48 optional int64 sleep_screen_doze_ns = 8; 53 optional int64 timestamp_ns = 1; [all …]
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/external/tensorflow/tensorflow/core/profiler/internal/ |
D | tfprof_node.h | 38 std::vector<int64> ShapeProtoToVec(const TensorShapeProto& shape_pb); 40 TensorShapeProto VecToShapeProto(const std::vector<int64>& shape_vec); 49 const std::map<int64, string>* id_to_string) in Trace() argument 67 const std::map<int64, string>* id_to_string_; 70 CallStack(const CodeDef& def, const std::map<int64, string>* id_to_string) in CallStack() argument 94 int64 run_count() const { return exec_.run_count(); } in run_count() 97 int64 exec_micros() const; 99 int64 accelerator_exec_micros() const; 101 int64 cpu_exec_micros() const; 103 const std::map<string, std::vector<std::pair<int64, int64>>>& op_execs() in op_execs() [all …]
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/external/tensorflow/tensorflow/compiler/xla/service/ |
D | hlo.proto | 104 int64 parameter_number = 9; 110 int64 tuple_index = 13; 114 repeated int64 dimensions = 14; 125 int64 feature_group_count = 50; 127 int64 batch_group_count = 58; 131 int64 start = 1; 132 int64 limit = 2; 133 int64 stride = 3; 143 repeated int64 dynamic_slice_sizes = 20; 162 int64 feature_index = 25; [all …]
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/external/tensorflow/tensorflow/core/profiler/convert/ |
D | xplane_to_memory_profile_test.cc | 43 {{StatType::kBytesReserved, int64{2000}}, in TEST() 44 {StatType::kBytesAllocated, int64{3000}}, in TEST() 45 {StatType::kBytesAvailable, int64{5000}}, in TEST() 46 {StatType::kPeakBytesInUse, int64{8500}}, in TEST() 47 {StatType::kRequestedBytes, int64{200}}, in TEST() 48 {StatType::kAllocationBytes, int64{256}}, in TEST() 49 {StatType::kAddress, int64{222333}}, in TEST() 50 {StatType::kStepId, int64{-93746}}, in TEST() 51 {StatType::kDataType, int64{1}}, in TEST() 59 {{StatType::kBytesReserved, int64{2000}}, in TEST() [all …]
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/external/tensorflow/tensorflow/compiler/xla/client/lib/ |
D | pooling.cc | 29 XlaOp sums, PrimitiveType dtype, absl::Span<const int64> input_shape, in AvgPoolDivideByCountWithGeneralPadding() 30 absl::Span<const std::pair<int64, int64>> spatial_padding, in AvgPoolDivideByCountWithGeneralPadding() argument 31 absl::Span<const int64> ksize, absl::Span<const int64> stride, in AvgPoolDivideByCountWithGeneralPadding() 37 std::vector<int64> input_dim_sizes(num_spatial_dims); in AvgPoolDivideByCountWithGeneralPadding() 38 std::vector<int64> window_dims(num_spatial_dims); in AvgPoolDivideByCountWithGeneralPadding() 39 std::vector<int64> window_ksize(num_spatial_dims); in AvgPoolDivideByCountWithGeneralPadding() 40 std::vector<int64> window_stride(num_spatial_dims); in AvgPoolDivideByCountWithGeneralPadding() 74 absl::Span<const int64> kernel_size, in ComputeSums() 75 absl::Span<const int64> stride, in ComputeSums() 90 absl::Span<const std::pair<int64, int64>> spatial_padding, in MakeSpatialPaddingConfig() argument [all …]
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/external/tensorflow/tensorflow/core/util/sparse/ |
D | sparse_tensor_test.cc | 34 Eigen::Tensor<int64, 2, Eigen::RowMajor, Eigen::DenseIndex> 36 Eigen::Tensor<int64, 2, Eigen::RowMajor, Eigen::DenseIndex> ix(N, NDIM); in GetSimpleIndexTensor() 63 TTypes<int64>::Matrix map(ix.data(), N, NDIM); in TEST() 65 std::vector<int64> sorting(N); in TEST() 69 std::vector<int64> order{0, 1, 2}; in TEST() 70 std::vector<int64> shape{N, N, N}; in TEST() 73 EXPECT_EQ(sorting, std::vector<int64>({0, 4, 3, 2, 1})); in TEST() 77 EXPECT_EQ(sorting, std::vector<int64>({0, 4, 3, 2, 1})); in TEST() 80 std::vector<int64> order1{2, 0, 1}; in TEST() 84 EXPECT_EQ(sorting, std::vector<int64>({0, 3, 2, 1, 4})); in TEST() [all …]
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | lookup_ops_test.py | 83 values = constant_op.constant([0, 1, 2], dtypes.int64) 106 values = constant_op.constant([0, 1, 2], dtypes.int64) 126 keys, values, value_dtype=dtypes.int64), default_val) 140 values = np.array([0, 1, 2], dtype=np.int64) 156 values = constant_op.constant([0, 1, 2], dtypes.int64) 183 default_val = constant_op.constant(-1, dtypes.int64) 185 values = constant_op.constant([0, 1, 2], dtypes.int64) 197 default_val = constant_op.constant(-1, dtypes.int64) 199 values = constant_op.constant([0, 1, 2], dtypes.int64) 211 default_val = constant_op.constant(-1, dtypes.int64) [all …]
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/external/protobuf/src/google/protobuf/util/ |
D | time_util.cc | 61 T CreateNormalized(int64 seconds, int64 nanos); 64 Timestamp CreateNormalized(int64 seconds, int64 nanos) { in CreateNormalized() 84 Duration CreateNormalized(int64 seconds, int64 nanos) { in CreateNormalized() 118 std::string FormatTime(int64 seconds, int32 nanos) { in FormatTime() 122 bool ParseTime(const std::string& value, int64* seconds, int32* nanos) { in ParseTime() 126 void CurrentTime(int64* seconds, int32* nanos) { in CurrentTime() 131 int64 RoundTowardZero(int64 value, int64 divider) { in RoundTowardZero() 132 int64 result = value / divider; in RoundTowardZero() 133 int64 remainder = value % divider; in RoundTowardZero() 150 const int64 TimeUtil::kTimestampMinSeconds; [all …]
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/external/perfetto/protos/perfetto/metrics/android/ |
D | hwui_metric.proto | 27 optional int64 rt_cpu_time_ms = 2; 32 optional int64 draw_frame_max = 4; 33 optional int64 draw_frame_min = 5; 38 optional int64 flush_max = 8; 39 optional int64 flush_min = 9; 45 optional int64 prepare_tree_max = 12; 46 optional int64 prepare_tree_min = 13; 52 optional int64 gpu_completion_max = 16; 53 optional int64 gpu_completion_min = 17; 59 optional int64 ui_record_max = 20; [all …]
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/external/perfetto/protos/perfetto/trace/track_event/ |
D | chrome_compositor_scheduler_state.proto | 73 optional int64 deadline_us = 9; 74 optional int64 deadline_scheduled_at_us = 10; 75 optional int64 now_us = 11; 76 optional int64 now_to_deadline_delta_us = 12; 77 optional int64 now_to_deadline_scheduled_at_delta_us = 13; 204 optional int64 frame_time_us = 4; 205 optional int64 deadline_us = 5; 206 optional int64 interval_delta_us = 6; 219 optional int64 frames_throttled_since_last = 12; 224 optional int64 updated_at_us = 1; [all …]
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/external/tensorflow/tensorflow/core/kernels/data/ |
D | padded_batch_dataset_op_test.cc | 53 CreateTensor<int64>(TensorShape({}), {batch_size_})); in GetInputTensors() 96 int64 batch_size_; 107 /*components=*/{CreateTensor<int64>( in PaddedBatchDatasetParams1() 113 /*padded_shapes=*/{CreateTensor<int64>(TensorShape{1}, {3})}, in PaddedBatchDatasetParams1() 114 /*padded_values=*/{CreateTensor<int64>(TensorShape{}, {1})}, in PaddedBatchDatasetParams1() 126 /*components=*/CreateTensors<int64>(TensorShape{3, 2}, in PaddedBatchDatasetParams2() 130 /*components=*/CreateTensors<int64>(TensorShape{4, 1}, {{6, 7, 8, 9}}), in PaddedBatchDatasetParams2() 141 /*padded_shapes=*/{CreateTensor<int64>(TensorShape{1}, {3})}, in PaddedBatchDatasetParams2() 142 /*padded_values=*/{CreateTensor<int64>(TensorShape{}, {1})}, in PaddedBatchDatasetParams2() 154 /*components=*/CreateTensors<int64>(TensorShape{3, 2}, in PaddedBatchDatasetParams3() [all …]
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