diff options
author | A. Unique TensorFlower <gardener@tensorflow.org> | 2017-09-06 20:33:16 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-09-06 20:38:16 -0700 |
commit | 92570f8ff788aa7da86a4b4ca4f3596b84fb805f (patch) | |
tree | 882ed1244bd9394af0a1b01374d49fc414f56a63 | |
parent | b5fdf92df80f895c29258dcabfec7b41bf3604ae (diff) |
Update ops-related pbtxt files.
PiperOrigin-RevId: 167811375
-rw-r--r-- | tensorflow/core/ops/compat/ops_history.v1.pbtxt | 45 | ||||
-rw-r--r-- | tensorflow/core/ops/ops.pbtxt | 48 |
2 files changed, 93 insertions, 0 deletions
diff --git a/tensorflow/core/ops/compat/ops_history.v1.pbtxt b/tensorflow/core/ops/compat/ops_history.v1.pbtxt index 6ac38e8b67..a8338620d6 100644 --- a/tensorflow/core/ops/compat/ops_history.v1.pbtxt +++ b/tensorflow/core/ops/compat/ops_history.v1.pbtxt @@ -24860,6 +24860,51 @@ op { } } op { + name: "SloppyInterleaveDataset" + input_arg { + name: "input_dataset" + type: DT_RESOURCE + } + input_arg { + name: "other_arguments" + type_list_attr: "Targuments" + } + input_arg { + name: "cycle_length" + type: DT_INT64 + } + input_arg { + name: "block_length" + type: DT_INT64 + } + output_arg { + name: "handle" + type: DT_RESOURCE + } + attr { + name: "f" + type: "func" + } + attr { + name: "Targuments" + type: "list(type)" + has_minimum: true + } + attr { + name: "output_types" + type: "list(type)" + has_minimum: true + minimum: 1 + } + attr { + name: "output_shapes" + type: "list(shape)" + has_minimum: true + minimum: 1 + } + is_stateful: true +} +op { name: "Softmax" input_arg { name: "logits" diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt index a4a8a6277e..fb9b9278ed 100644 --- a/tensorflow/core/ops/ops.pbtxt +++ b/tensorflow/core/ops/ops.pbtxt @@ -24536,6 +24536,54 @@ op { description: "The output tensor is a tensor with dimensions described by \'size\'\nwhose values are extracted from \'input\' starting at the offsets in\n\'begin\'.\n\n*Requirements*:\n 0 <= begin[i] <= begin[i] + size[i] <= Di for i in [0, n)" } op { + name: "SloppyInterleaveDataset" + input_arg { + name: "input_dataset" + type: DT_RESOURCE + } + input_arg { + name: "other_arguments" + type_list_attr: "Targuments" + } + input_arg { + name: "cycle_length" + type: DT_INT64 + } + input_arg { + name: "block_length" + type: DT_INT64 + } + output_arg { + name: "handle" + type: DT_RESOURCE + } + attr { + name: "f" + type: "func" + description: "A function mapping elements of `input_dataset`, concatenated with\n`other_arguments`, to a Dataset resource that contains elements matching\n`output_types` and `output_shapes`." + } + attr { + name: "Targuments" + type: "list(type)" + has_minimum: true + } + attr { + name: "output_types" + type: "list(type)" + has_minimum: true + minimum: 1 + } + attr { + name: "output_shapes" + type: "list(shape)" + has_minimum: true + minimum: 1 + } + summary: "Creates a dataset that applies `f` to the outputs of `input_dataset`." + description: "The resulting dataset is similar to the `InterleaveDataset`, with the exception\nthat if retrieving the next value from a dataset would cause the requester to\nblock, it will skip that input dataset. This dataset is especially useful\nwhen loading data from a variable-latency datastores (e.g. HDFS, GCS), as it\nallows the training step to proceed so long as some data is available.\n\n!! WARNING !! This dataset is not deterministic!" + is_stateful: true +} +op { name: "Softmax" input_arg { name: "logits" |