| /third_party/mindspore/tests/ut/data/mindrecord/testTwoImageData/ |
| D | cityscapes_train_19_fake.txt | 1 …train/bochum/bochum_000000_023435_leftImg8bit.png gtFine/train/bochum/bochum_000000_023435_gtFine_…
2 …train/bochum/bochum_000000_016591_leftImg8bit.png gtFine/train/bochum/bochum_000000_016591_gtFine_…
3 …train/bochum/bochum_000000_029721_leftImg8bit.png gtFine/train/bochum/bochum_000000_029721_gtFine_…
4 …train/bochum/bochum_000000_022414_leftImg8bit.png gtFine/train/bochum/bochum_000000_022414_gtFine_…
5 …train/bochum/bochum_000000_033714_leftImg8bit.png gtFine/train/bochum/bochum_000000_033714_gtFine_…
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| D | cityscapes_train_19.txt | 1 leftImg8bit/train/bochum/bochum_000000_023435_leftImg8bit.png gtFine/train/bochum/bochum_000000_023…
2 leftImg8bit/train/bochum/bochum_000000_016591_leftImg8bit.png gtFine/train/bochum/bochum_000000_016…
3 leftImg8bit/train/bochum/bochum_000000_029721_leftImg8bit.png gtFine/train/bochum/bochum_000000_029…
4 leftImg8bit/train/bochum/bochum_000000_022414_leftImg8bit.png gtFine/train/bochum/bochum_000000_022…
5 leftImg8bit/train/bochum/bochum_000000_033714_leftImg8bit.png gtFine/train/bochum/bochum_000000_033…
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| /third_party/mindspore/mindspore/lite/examples/train_lenet/ |
| D | README_CN.md | 39 └── train
40 ├── train-images-idx3-ubyte
41 └── train-labels-idx1-ubyte
94 │ ├── eval.sh # on-device script that load the train model and evaluates its accuracy
96 │ ├── run_train.sh # adb script that launches train.sh
97 │ └── train.sh # on-device script that load the initial model and train it
115 │ │ └── train
116 │ │ ├── train-images-idx3-ubyte # train images
117 │ │ └── train-labels-idx1-ubyte # train labels
118 │ ├── eval.sh # on-device script that load the train model and evaluates…
[all …]
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| D | README.md | 39 └── train
40 ├── train-images-idx3-ubyte
41 └── train-labels-idx1-ubyte
108 │ ├── eval.sh # on-device script that load the train model and evaluates its accuracy
109 │ └── train.sh # on-device script that load the initial model and train it
126 │ │ └── train
127 │ │ ├── train-images-idx3-ubyte # train images
128 │ │ └── train-labels-idx1-ubyte # train labels
129 │ ├── eval.sh # on-device script that load the train model and evaluates…
137 │ │ ├── libmindspore-lite-train.a
[all …]
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| /third_party/mindspore/mindspore/lite/examples/unified_api/ |
| D | README_CN.md | 39 └── train
40 ├── train-images-idx3-ubyte
41 └── train-labels-idx1-ubyte
94 │ ├── eval.sh # on-device script that load the train model and evaluates its accuracy
96 │ ├── run_train.sh # adb script that launches train.sh
97 │ └── train.sh # on-device script that load the initial model and train it
115 │ │ └── train
116 │ │ ├── train-images-idx3-ubyte # train images
117 │ │ └── train-labels-idx1-ubyte # train labels
118 │ ├── eval.sh # on-device script that load the train model and evaluates…
[all …]
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| D | README.md | 39 └── train
40 ├── train-images-idx3-ubyte
41 └── train-labels-idx1-ubyte
108 │ ├── eval.sh # on-device script that load the train model and evaluates its accuracy
109 │ └── train.sh # on-device script that load the initial model and train it
126 │ │ └── train
127 │ │ ├── train-images-idx3-ubyte # train images
128 │ │ └── train-labels-idx1-ubyte # train labels
129 │ ├── eval.sh # on-device script that load the train model and evaluates…
137 │ │ ├── libmindspore-lite-train.a
[all …]
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| /third_party/skia/infra/bots/ |
| D | infra_tests.py | 29 def python_unit_tests(train): argument
30 if train:
38 def recipe_test(train): argument
41 if train:
48 def gen_tasks_test(train): argument
50 if not train:
61 train = False
63 train = True
72 err = t(train)
84 if train:
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| /third_party/flutter/skia/infra/bots/ |
| D | infra_tests.py | 28 def python_unit_tests(train): argument
29 if train:
36 def recipe_test(train): argument
39 if train:
46 def gen_tasks_test(train): argument
48 if not train:
64 train = False
66 train = True
75 err = t(train)
87 if train:
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| /third_party/mindspore/tests/perf_test/mindrecord/imagenet/ |
| D | imagenet_to_tfrecord.py | 76 feature = tf.train.Feature(int64_list=tf.train.Int64List(value=[values]))
81 … feature = tf.train.Feature(bytes_list=tf.train.BytesList(value=[bytes(values, encoding='utf-8')]))
86 feature = tf.train.Feature(bytes_list=tf.train.BytesList(value=[values]))
106 tf_example = tf.train.Example(features=tf.train.Features(feature=features))
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| /third_party/mindspore/mindspore/lite/src/ |
| D | CMakeLists.txt | 75 ${CMAKE_CURRENT_SOURCE_DIR}/cxx_api/train/*.cc
191 ${CMAKE_CURRENT_SOURCE_DIR}/train/train_populate_parameter.cc
192 ${CMAKE_CURRENT_SOURCE_DIR}/train/train_session.cc
193 ${CMAKE_CURRENT_SOURCE_DIR}/train/transfer_session.cc
194 ${CMAKE_CURRENT_SOURCE_DIR}/train/train_loop.cc
195 ${CMAKE_CURRENT_SOURCE_DIR}/train/train_utils.cc
196 ${CMAKE_CURRENT_SOURCE_DIR}/train/loss_monitor.cc
197 ${CMAKE_CURRENT_SOURCE_DIR}/train/lr_scheduler.cc
198 ${CMAKE_CURRENT_SOURCE_DIR}/train/accuracy_metrics.cc
199 ${CMAKE_CURRENT_SOURCE_DIR}/train/accuracy_monitor.cc
[all …]
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| /third_party/mindspore/tests/ut/python/mindrecord/ |
| D | test_tfrecord_to_mr.py | 88 …feature = tf.train.Feature(int64_list=tf.train.Int64List(value=list(values))) # values: [int, int…
90 … feature = tf.train.Feature(int64_list=tf.train.Int64List(value=[values])) # values: int
95 …feature = tf.train.Feature(float_list=tf.train.FloatList(value=list(values))) # values: [float, f…
97 … feature = tf.train.Feature(float_list=tf.train.FloatList(value=[values])) # values: float
102 … feature = tf.train.Feature(bytes_list=tf.train.BytesList(value=[values])) # values: bytes
105 … feature = tf.train.Feature(bytes_list=tf.train.BytesList(value=[bytes(values, encoding='utf-8')]))
128 tf_example = tf.train.Example(features=tf.train.Features(feature=features))
137 …feature = tf.train.Feature(int64_list=tf.train.Int64List(value=list(values))) # values: [int, int…
139 … feature = tf.train.Feature(int64_list=tf.train.Int64List(value=[values])) # values: int
144 … feature = tf.train.Feature(bytes_list=tf.train.BytesList(value=[values])) # values: bytes
[all …]
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| /third_party/mindspore/mindspore/lite/examples/transfer_learning/ |
| D | README_CN.md | 99 │ ├── eval.sh # script that load the train model and evaluates its accuracy
102 │ └── train.sh # script that load the initial model and trains it
137 │ ├── libmindspore-lite-train.a
138 │ ├── libmindspore-lite-train-jni.so
139 │ ├── libmindspore-lite-train.so
143 │ └── transfer_learning_tod.ms # model to train
144 ├── eval.sh # script that load the train model and evaluates its accuracy
146 └── train.sh # script that load the initial model and train it
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| /third_party/mindspore/mindspore/ccsrc/transform/graph_ir/ |
| D | op_adapter_desc.h | 29 …OpAdapterDesc(const OpAdapterPtr &train, const OpAdapterPtr &infer) : train_(train), infer_(infer)… in OpAdapterDesc() argument
47 OpAdapterPtr Get(bool train) const { return train ? train_ : infer_; } in Get() argument
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| /third_party/mindspore/mindspore/ |
| D | __init__.py | 18 from . import common, train, log
21 from .train import *
29 __all__.extend(train.__all__)
|
| /third_party/mindspore/tests/st/fl/cross_silo_faster_rcnn/ |
| D | test_fl_fasterrcnn.py | 26 from mindspore.train.callback import TimeMonitor
27 from mindspore.train import Model
28 from mindspore.train.serialization import load_checkpoint, load_param_into_net
29 from mindspore.train.serialization import save_checkpoint
148 def train(): function
208 model.train(config.client_epoch_num, dataset, callbacks=cb)
216 train()
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| /third_party/mindspore/tests/st/networks/ |
| D | test_network_main.py | 37 def train(net, data, label): function
55 train(net, data, label)
62 train(net, data, label)
69 train(net, data, label)
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| /third_party/mindspore/tests/ut/python/ |
| D | runtest.sh | 68 pytest -v $CURRPATH/pipeline $CURRPATH/train
83 …re=$CURRPATH/pynative_mode --ignore=$CURRPATH/pipeline --ignore=$CURRPATH/train --ignore=$CURRPATH…
116 pytest -v $CURRPATH/pipeline $CURRPATH/train
128 …re=$CURRPATH/pynative_mode --ignore=$CURRPATH/pipeline --ignore=$CURRPATH/train --ignore=$CURRPATH…
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| /third_party/mindspore/tests/ut/python/parallel/ |
| D | test_pipeline_split.py | 23 from mindspore.train.model import Model
125 model.train(2, dataset, dataset_sink_mode=False)
142 model.train(2, dataset, dataset_sink_mode=False)
160 model.train(2, dataset, dataset_sink_mode=False)
175 model.train(2, dataset, dataset_sink_mode=False)
214 model.train(2, dataset, dataset_sink_mode=False)
232 model.train(2, dataset, dataset_sink_mode=False)
250 model.train(2, dataset, dataset_sink_mode=False)
265 model.train(2, dataset, dataset_sink_mode=False)
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| /third_party/mindspore/mindspore/lite/tools/benchmark_train/ |
| D | CMakeLists.txt | 20 …target_link_libraries(benchmark_train mindspore-lite minddata-lite mindspore-lite-train c++_shared)
22 target_link_libraries(benchmark_train mindspore-lite minddata-lite mindspore-lite-train)
29 … target_link_libraries(benchmark_train mindspore-lite mindspore-lite-train pthread minddata-lite)
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| /third_party/mindspore/tests/ut/data/dataset/testManifestData/ |
| D | test.manifest | 1 {"source":"../data/dataset/testManifestData/train/1.JPEG", "usage":"TRAIN","id":"0162005993f8065ef4…
2 {"source":"../data/dataset/testManifestData/train/1.JPEG", "usage":"TRAIN","id":"0162005993f8065ef4…
3 {"source":"../data/dataset/testManifestData/train/1.JPEG", "usage":"TRAIN","id":"0162005993f8065ef4…
4 {"source":"../data/dataset/testManifestData/train/1.JPEG", "usage":"TRAIN","id":"0162005993f8065ef4…
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| D | invalidNoUsage.manifest | 1 {"source":"../data/dataset/testManifestData/train/1.JPEG","id":"0162005993f8065ef47eefb59d1e4970","…
2 {"source":"../data/dataset/testManifestData/train/1.JPEG", "usage":"TRAIN","id":"0162005993f8065ef4…
3 {"source":"../data/dataset/testManifestData/train/1.JPEG", "usage":"TRAIN","id":"0162005993f8065ef4…
4 {"source":"../data/dataset/testManifestData/train/1.JPEG", "usage":"TRAIN","id":"0162005993f8065ef4…
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| /third_party/mindspore/mindspore/nn/probability/toolbox/ |
| D | uncertainty_evaluation.py | 22 from mindspore.train import Model
23 from mindspore.train.callback import LossMonitor, ModelCheckpoint, CheckpointConfig
24 from mindspore.train.serialization import load_checkpoint, load_param_into_net
139 model.train(self.epochs, self.epi_train_dataset, dataset_sink_mode=False,
142 model.train(self.epochs, self.epi_train_dataset, dataset_sink_mode=False,
191 model.train(self.epochs, self.ale_train_dataset, dataset_sink_mode=False,
194 model.train(self.epochs, self.ale_train_dataset, dataset_sink_mode=False,
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| /third_party/mindspore/tests/st/broadcast/ |
| D | lenet_broadcast_auto_parallel.py | 24 from mindspore.train import Model
25 from mindspore.train.callback import LossMonitor, TimeMonitor
61 model.train(1, ds_train, callbacks=[time_cb, LossMonitor()])
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| /third_party/flutter/skia/infra/bots/recipes/ |
| D | README.md | 14 When you change a recipe, you generally need to re-train the simulation test:
16 $ python infra/bots/recipes.py test train
20 $ cd infra/bots; make train
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| /third_party/skia/infra/bots/recipes/ |
| D | README.md | 14 When you change a recipe, you generally need to re-train the simulation test:
16 $ python infra/bots/recipes.py test train
20 $ cd infra/bots; make train
|