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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-09-06 20:33:16 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-09-06 20:38:16 -0700
commit92570f8ff788aa7da86a4b4ca4f3596b84fb805f (patch)
tree882ed1244bd9394af0a1b01374d49fc414f56a63
parentb5fdf92df80f895c29258dcabfec7b41bf3604ae (diff)
Update ops-related pbtxt files.
PiperOrigin-RevId: 167811375
-rw-r--r--tensorflow/core/ops/compat/ops_history.v1.pbtxt45
-rw-r--r--tensorflow/core/ops/ops.pbtxt48
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"