| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/ |
| D | map_and_batch_test.py | 25 from tensorflow.python.data.experimental.ops import batching
66 batching.map_and_batch(
125 batching.map_and_batch(
145 batching.map_and_batch(lambda x: array_ops.reshape(x * x, [1]), 4)))
156 batching.map_and_batch(lambda x: x, batch_size=100))
182 batching.map_and_batch(
214 batching.map_and_batch(_sparse, 5))
233 dataset = dataset.apply(batching.map_and_batch(lambda x: x, 14))
250 dataset = dataset.apply(batching.map_and_batch(lambda x: x, batch_size))
270 1000).apply(batching.map_and_batch(_map_fn, batch_size=100))
[all …]
|
| D | dense_to_sparse_batch_test.py | 23 from tensorflow.python.data.experimental.ops import batching
39 batching.dense_to_sparse_batch(4, [12]))
62 batching.dense_to_sparse_batch(4, [5, None]))
90 batching.dense_to_sparse_batch(4, [-2]))
97 batching.dense_to_sparse_batch(4, [12]))
|
| D | dense_to_ragged_batch_test.py | 23 from tensorflow.python.data.experimental.ops import batching
127 batching.dense_to_ragged_batch(batch_size, drop_remainder))
162 dataset = dataset.apply(batching.dense_to_ragged_batch(batch_size))
|
| D | BUILD | 203 "//tensorflow/python/data/experimental/ops:batching",
395 "//tensorflow/python/data/experimental/ops:batching",
498 "//tensorflow/python/data/experimental/ops:batching",
826 "//tensorflow/python/data/experimental/ops:batching",
|
| D | stats_dataset_ops_test.py | 25 from tensorflow.python.data.experimental.ops import batching
386 batching.map_and_batch(
|
| D | optimize_dataset_test.py | 27 from tensorflow.python.data.experimental.ops import batching
63 batching.map_and_batch(map_fn, 1))
|
| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/serialization/ |
| D | map_and_batch_dataset_serialization_test.py | 25 from tensorflow.python.data.experimental.ops import batching
55 batching.map_and_batch(
81 batching.map_and_batch(
100 batching.map_and_batch(map_fn, 5))
|
| D | batch_dataset_serialization_test.py | 24 from tensorflow.python.data.experimental.ops import batching
57 batching.dense_to_sparse_batch(4, [12]))
|
| D | BUILD | 88 "//tensorflow/python/data/experimental/ops:batching",
149 "//tensorflow/python/data/experimental/ops:batching",
394 "//tensorflow/python/data/experimental/ops:batching",
822 "//tensorflow/python/data/experimental/ops:batching",
|
| /external/tensorflow/tensorflow/python/data/experimental/ |
| D | __init__.py | 98 from tensorflow.python.data.experimental.ops.batching import dense_to_ragged_batch
99 from tensorflow.python.data.experimental.ops.batching import dense_to_sparse_batch
100 from tensorflow.python.data.experimental.ops.batching import map_and_batch
101 from tensorflow.python.data.experimental.ops.batching import map_and_batch_with_legacy_function
102 from tensorflow.python.data.experimental.ops.batching import unbatch
|
| /external/grpc-grpc/doc/cpp/ |
| D | perf_notes.md | 7 threads, but currently cannot automatically infer batching in a single stream.
10 possible to enable write batching by passing a WriteOptions argument to Write
|
| /external/tensorflow/tensorflow/python/data/experimental/ops/ |
| D | BUILD | 9 name = "batching",
10 srcs = ["batching.py"],
301 ":batching",
330 ":batching",
500 ":batching",
|
| /external/tensorflow/tensorflow/python/data/experimental/benchmarks/ |
| D | map_and_batch_benchmark.py | 26 from tensorflow.python.data.experimental.ops import batching
51 batching.map_and_batch(lambda _: dense_value, batch_size))
|
| D | BUILD | 110 "//tensorflow/python/data/experimental/ops:batching",
239 "//tensorflow/python/data/experimental/ops:batching",
|
| /external/python/google-api-python-client/docs/ |
| D | batch.md | 4 This library supports batching,
6 Examples of situations when you might want to use batching:
|
| D | performance.md | 48 If you are sending many small requests you may benefit from [batching](batch.md), which allows thos…
|
| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/optimization/ |
| D | map_vectorization_test.py | 28 from tensorflow.python.data.experimental.ops import batching
505 dataset = dataset.apply(batching.map_and_batch(map_fn, 100))
528 batching.map_and_batch(map_fn, 2, 12, drop_remainder=True))
645 unoptimized = base_dataset.apply(batching.map_and_batch(lambda x: x, 2))
663 unoptimized = base_dataset.apply(batching.map_and_batch(map_fn, 2))
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_UnbatchGrad.pbtxt | 5 Acts like Batch but using the given batch_index index of batching things as they
|
| D | api_def_ExperimentalMapAndBatchDataset.pbtxt | 46 summary: "Creates a dataset that fuses mapping with batching."
|
| D | api_def_MapAndBatchDataset.pbtxt | 46 summary: "Creates a dataset that fuses mapping with batching."
|
| /external/rust/crates/itertools/tests/ |
| D | test_core.rs | 136 fn batching() { in batching() function
141 let pit = xs.iter().cloned().batching(|it| { in batching()
|
| D | zip.rs | 11 let unfused = a.iter().batching(|it| *it.next().unwrap()) in zip_longest_fused()
|
| /external/tensorflow/tensorflow/python/distribute/ |
| D | input_lib.py | 27 from tensorflow.python.data.experimental.ops import batching
1935 if isinstance(d, (dataset_ops.BatchDataset, batching._MapAndBatchDataset)):
1951 (dataset_ops.BatchDataset, batching._MapAndBatchDataset))
1955 elif isinstance(d, batching._MapAndBatchDataset):
|
| /external/angle/src/tests/test_utils/runner/ |
| D | README.md | 18 * `--bot-mode` enables multi-process execution and test batching
|
| /external/tensorflow/tensorflow/core/framework/ |
| D | dataset_options.proto | 113 // pipeline is bottlenecked on batching and b) you have validated that this
|