| /third_party/protobuf/benchmarks/ |
| D | Makefile.am | 5 datasets/google_message1/proto3/benchmark_message1_proto3.proto
8 datasets/google_message1/proto2/benchmark_message1_proto2.proto \
9 datasets/google_message2/benchmark_message2.proto \
10 datasets/google_message3/benchmark_message3.proto \
11 datasets/google_message3/benchmark_message3_1.proto \
12 datasets/google_message3/benchmark_message3_2.proto \
13 datasets/google_message3/benchmark_message3_3.proto \
14 datasets/google_message3/benchmark_message3_4.proto \
15 datasets/google_message3/benchmark_message3_5.proto \
16 datasets/google_message3/benchmark_message3_6.proto \
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| D | download_data.sh | 3 curl -O https://storage.googleapis.com/protobuf_opensource_benchmark_data/datasets.tar.gz
4 tar -zvxf datasets.tar.gz
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| D | benchmarks.proto | 36 // Name of the benchmark dataset. This should be unique across all datasets.
58 // This is intended to let datasets include a variety of data to provide
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| /third_party/protobuf/kokoro/linux/benchmark/ |
| D | run.sh | 22 datasets=$(for file in $(find . -type f -name "dataset.*.pb" -not -path "./tmp/*"); do echo "$(pwd)…
23 echo $datasets
42 ./python-pure-python-benchmark --json --behavior_prefix="pure-python-benchmark" $datasets >> tmp/p…
45 …flection-benchmark --json --behavior_prefix="cpp-reflection-benchmark" $datasets >> tmp/python_re…
48 …code-benchmark --json --behavior_prefix="cpp-generated-code-benchmark" $datasets >> tmp/python_res…
65 …-benchmark_min_time=5.0 --benchmark_out_format=json --benchmark_out="tmp/cpp_result.json" $datasets
81 ./go-benchmark $datasets > tmp/go_result.txt
86 ./java-benchmark -Cresults.file.options.file="tmp/java_result.json" $datasets
90 ./js-benchmark $datasets --json_output=$(pwd)/tmp/node_result.json
93 proto3_datasets=$(for file in $datasets; do echo $(pwd)/tmp/proto3_data/${file#$(pwd)}; done | xarg…
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| /third_party/boost/libs/test/doc/test_organization/ |
| D | parametric_test_case_generation.qbk | 96 * the notion of *datasets* eases the description of the class of inputs for test cases. The dataset…
97 operations that enable their combinations to create new, more complex datasets,
103 * several datasets generating functions are provided by the __UTF__
108 # the notion of [link boost_test.tests_organization.test_cases.test_case_generation.datasets *datas…
111 …ests_organization.test_cases.test_case_generation.operations /operations/] on datasets are detailed
119 To define properly datasets, the notion of *sample* should be introduced first. A *sample* is defin…
130 The descriptive power of the datasets in __UTF__ comes from
132 …anization.test_cases.test_case_generation.datasets.dataset_interface interface] for creating a cus…
133 …est_cases.test_case_generation.operations operations] they provide for combining different datasets
137 [tip Only "monomorphic" datasets are supported, which means that all samples within a single datase…
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| /third_party/mindspore/mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/ |
| D | zip_node.cc | 25 ZipNode::ZipNode(const std::vector<std::shared_ptr<DatasetNode>> &datasets) { in ZipNode() argument
27 for (auto const &child : datasets) AddChild(child); in ZipNode()
95 Status ZipNode::from_json(std::vector<std::shared_ptr<DatasetNode>> datasets, std::shared_ptr<Datas… in from_json() argument
96 *result = std::make_shared<ZipNode>(datasets); in from_json()
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| D | concat_node.cc | 34 ConcatNode::ConcatNode(const std::vector<std::shared_ptr<DatasetNode>> &datasets, in ConcatNode() argument
42 for (auto const &child : datasets) AddChild(child); in ConcatNode()
166 … ConcatNode::from_json(nlohmann::json json_obj, std::vector<std::shared_ptr<DatasetNode>> datasets, in from_json() argument
177 …*result = std::make_shared<ConcatNode>(datasets, sampler, children_flag_and_nums, children_start_e… in from_json()
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| D | zip_node.h | 32 explicit ZipNode(const std::vector<std::shared_ptr<DatasetNode>> &datasets);
83 …static Status from_json(std::vector<std::shared_ptr<DatasetNode>> datasets, std::shared_ptr<Datase…
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| D | concat_node.h | 33 explicit ConcatNode(const std::vector<std::shared_ptr<DatasetNode>> &datasets,
84 …tatic Status from_json(nlohmann::json json_obj, std::vector<std::shared_ptr<DatasetNode>> datasets,
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| /third_party/protobuf/benchmarks/go/ |
| D | go_benchmark_test.go | 24 var datasets []Dataset var
74 datasets = append(datasets, ds)
79 for _, ds := range datasets {
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| /third_party/protobuf/benchmarks/python/ |
| D | py_benchmark.py | 35 import datasets.google_message1.proto2.benchmark_message1_proto2_pb2 as benchmark_message1_proto2_p…
36 import datasets.google_message1.proto3.benchmark_message1_proto3_pb2 as benchmark_message1_proto3_p…
37 import datasets.google_message2.benchmark_message2_pb2 as benchmark_message2_pb2
38 import datasets.google_message3.benchmark_message3_pb2 as benchmark_message3_pb2
39 import datasets.google_message4.benchmark_message4_pb2 as benchmark_message4_pb2
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| /third_party/mindspore/tests/st/fl/albert/src/ |
| D | dataset.py | 89 datasets = create_ms_dataset(input_list, label_list, max_seq_length, tokenizer, batch_size,
95 pickle.dump(tuple(datasets), f)
97 return datasets, len(label_list)
115 datasets = create_ms_dataset(input_list, label_list, max_seq_length, tokenizer, batch_size,
121 pickle.dump(tuple(datasets.create_tuple_iterator()), f)
122 datasets_list.append(datasets)
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| /third_party/boost/libs/math/doc/statistics/ |
| D | bivariate_statistics.qbk | 36 Computes the population covariance of two datasets:
56 …/wiki/Pearson_correlation_coefficient Pearson correlation coefficient] of two datasets /u/ and /v/:
65 If one or both of the datasets is constant, the correlation coefficient is an indeterminant form (0…
66 We use the following: If both datasets are constant, then the correlation coefficient is 1.
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| /third_party/mindspore/mindspore/ccsrc/minddata/dataset/api/python/bindings/dataset/engine/ir/datasetops/ |
| D | bindings.cc | 67 [](std::shared_ptr<DatasetNode> self, py::list datasets) { in __anon4440814b0102() argument
68 … auto zip = std::make_shared<ZipNode>(std::move(toDatasetNode(self, datasets))); in __anon4440814b0102()
170 … .def(py::init([](std::vector<std::shared_ptr<DatasetNode>> datasets, py::handle sampler, in __anon4440814b1002()
172 auto concat = std::make_shared<ConcatNode>(datasets, toSamplerObj(sampler), in __anon4440814b1002()
294 .def(py::init([](std::vector<std::shared_ptr<DatasetNode>> datasets) { in __anon4440814b2602() argument
295 auto zip = std::make_shared<ZipNode>(datasets); in __anon4440814b2602()
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| /third_party/mindspore/tests/st/model_zoo_tests/wide_and_deep/ |
| D | run_wide_and_deep_auto_parallel.sh | 38 cp -f ${BASE_PATH}/python_file_for_ci/datasets.py ${BASE_PATH}/wide_and_deep/src/datasets.py
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| /third_party/mindspore/mindspore/dataset/engine/ |
| D | datasets.py | 123 def zip(datasets): argument
142 if len(datasets) <= 1:
145 for dataset in datasets:
148 return ZipDataset(datasets)
280 def process_name(datasets, operator_id): argument
281 if not datasets:
284 for item in datasets:
342 def __add__(self, datasets): argument
343 return self.concat(datasets)
1004 def zip(self, datasets): argument
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| D | __init__.py | 28 from .datasets import *
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| D | serializer_deserializer.py | 22 from . import datasets as de
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| /third_party/mindspore/tests/st/fl/albert/ |
| D | cloud_eval.py | 84 for datasets in datasets_list:
85 for batch in datasets.create_tuple_iterator():
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| /third_party/mindspore/mindspore/ccsrc/minddata/dataset/engine/ |
| D | serdes.cc | 114 std::vector<std::shared_ptr<DatasetNode>> datasets; in ConstructPipeline() local
117 datasets.push_back(child_ds); in ConstructPipeline()
120 CHECK_FAIL_RETURN_UNEXPECTED(datasets.size() > 1, "Should zip more than 1 dataset"); in ConstructPipeline()
121 RETURN_IF_NOT_OK(ZipNode::from_json(datasets, ds)); in ConstructPipeline()
123 CHECK_FAIL_RETURN_UNEXPECTED(datasets.size() > 1, "Should concat more than 1 dataset"); in ConstructPipeline()
124 RETURN_IF_NOT_OK(ConcatNode::from_json(json_obj, datasets, ds)); in ConstructPipeline()
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| /third_party/boost/libs/test/test/ |
| D | CMakeLists.txt | 49 # datasets
53 ${BOOST_TEST_UNITTESTS_FOLDER}/test-organization-ts/datasets-test/*.cpp
54 ${BOOST_TEST_UNITTESTS_FOLDER}/test-organization-ts/datasets-test/*.hpp)
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| /third_party/mindspore/mindspore/dataset/ |
| D | __init__.py | 37 from .engine.datasets import *
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| /third_party/skia/third_party/externals/harfbuzz/src/ |
| D | gen-ucd-table.py | 115 datasets = [ variable
151 for name,data,default,mapping in datasets:
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| /third_party/harfbuzz/src/ |
| D | gen-ucd-table.py | 115 datasets = [ variable
151 for name,data,default,mapping in datasets:
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| /third_party/protobuf/benchmarks/datasets/google_message3/ |
| D | benchmark_message3.proto | 37 import "datasets/google_message3/benchmark_message3_1.proto";
38 import "datasets/google_message3/benchmark_message3_2.proto";
39 import "datasets/google_message3/benchmark_message3_3.proto";
40 import "datasets/google_message3/benchmark_message3_4.proto";
41 import "datasets/google_message3/benchmark_message3_5.proto";
42 import "datasets/google_message3/benchmark_message3_7.proto";
43 import "datasets/google_message3/benchmark_message3_8.proto";
|