Searched refs:TensorBoard (Results 1 – 25 of 37) sorted by relevance
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| /external/tensorflow/tensorflow/python/keras/ |
| D | callbacks_v1_test.py | 90 tsb = callbacks_v1.TensorBoard(
202 callbacks_v1.TensorBoard(
286 callbacks_v1.TensorBoard._init_writer = _init_writer
287 tsb = callbacks_v1.TensorBoard(
326 tsb = callbacks_v1.TensorBoard(
378 callbacks_v1.TensorBoard(log_dir=temp_dir)
418 tb_cbk = callbacks_v1.TensorBoard(temp_dir, update_freq='batch')
451 tb_cbk = callbacks_v1.TensorBoard(temp_dir, update_freq='batch')
460 tb_cbk = callbacks_v1.TensorBoard(temp_dir, update_freq='epoch')
488 cbks = [callbacks_v1.TensorBoard(log_dir=temp_dir)]
[all …]
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| D | callbacks_test.py | 1057 tb_cbk = keras.callbacks.TensorBoard() # no logdir specified
1079 tb_cbk = keras.callbacks.TensorBoard(self.logdir)
1103 tb_cbk = keras.callbacks.TensorBoard(self.logdir)
1124 tb_cbk = keras.callbacks.TensorBoard(self.logdir)
1143 tb_cbk = keras.callbacks.TensorBoard(self.logdir, update_freq=1)
1166 tb_cbk = keras.callbacks.TensorBoard(self.logdir, histogram_freq=1)
1196 tb_cbk = keras.callbacks.TensorBoard(
1258 keras.callbacks.TensorBoard(wwrite_images=True)
1282 tb_cbk = keras.callbacks.TensorBoard(self.logdir,
1330 tb_cbk = keras.callbacks.TensorBoard(
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| D | callbacks_v1.py | 42 class TensorBoard(callbacks.Callback): class
130 super(TensorBoard, self).__init__()
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| /external/tensorflow/tensorflow/core/framework/ |
| D | summary.proto | 51 // Display name for viewing in TensorBoard.
99 // Tag name for the data. Used by TensorBoard plugins to organize data. Tags
107 // value with a certain tag for each tag. TensorBoard then remembers which
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.callbacks.-tensor-board.pbtxt | 1 path: "tensorflow.keras.callbacks.TensorBoard"
3 is_instance: "<class \'tensorflow.python.keras.callbacks.TensorBoard\'>"
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| D | tensorflow.keras.callbacks.pbtxt | 48 name: "TensorBoard"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.callbacks.-tensor-board.pbtxt | 1 path: "tensorflow.keras.callbacks.TensorBoard"
3 is_instance: "<class \'tensorflow.python.keras.callbacks_v1.TensorBoard\'>"
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| D | tensorflow.keras.callbacks.pbtxt | 48 name: "TensorBoard"
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| /external/tensorflow/tensorflow/python/debug/ |
| D | README.md | 42 …[TensorBoard Debugger Plugin](https://github.com/tensorflow/tensorboard/blob/master/tensorboard/pl…
47 * For information on the web GUI of TFDBG (TensorBoard Debugger Plugin), see
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_TensorSummaryV2.pbtxt | 6 A string attached to this summary. Used for organization in TensorBoard.
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| /external/tensorflow/tensorflow/python/summary/ |
| D | README.md | 4 events files. The code is primarily being developed to support TensorBoard,
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| /external/tensorflow/tensorflow/contrib/keras/api/keras/callbacks/ |
| D | __init__.py | 32 from tensorflow.python.keras.callbacks import TensorBoard
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| /external/tensorflow/tensorflow/contrib/tensorboard/ |
| D | BUILD | 2 # TensorBoard module containing volatile or experimental code.
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_colorbot/ |
| D | README.md | 16 5. log training and evaluation loss for consumption by TensorBoard
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| /external/tensorflow/ |
| D | METADATA | 8 "device without rewriting code. TensorFlow also includes TensorBoard, a "
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| D | ISSUE_TEMPLATE.md | 9 3. It shouldn't be a TensorBoard issue. Those go [here](https://github.com/tensorflow/tensorboard/i…
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| /external/tensorflow/tensorflow/examples/tf2_showcase/ |
| D | README.md | 25 - Write basic TensorBoard metrics - loss, accuracy,
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| D | README.md | 30 Use `--output_dir=<DIR>` to direct the script to save TensorBoard summaries
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| /external/tensorflow/tensorflow/tools/docker/ |
| D | Dockerfile.mkl | 68 # TensorBoard
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| D | Dockerfile | 66 # TensorBoard
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| D | Dockerfile.gpu | 82 # TensorBoard
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| D | Dockerfile.mkl-horovod | 106 # TensorBoard
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| D | Dockerfile.devel | 103 # TensorBoard
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| /external/tensorflow/tensorflow/examples/tutorials/deepdream/ |
| D | README.md | 9 - embedding TensorBoard graph visualizations into Jupyter notebooks
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| /external/tensorflow/tensorflow/contrib/ignite/ |
| D | README.md | 170 * Training processes communicate with TensorBoard by writing event files to a
171 directory, which TensorBoard watches. IGFS allows this communication to work
172 even when TensorBoard runs in a different process or machine.
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