experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Update ops-related pbtxt files.

Browse Source 
PiperOrigin-RevId: 168245371
This commit is contained in:
A. Unique TensorFlower 2017-09-11 10:04:33 -07:00 committed by TensorFlower Gardener
parent f93e354cb2
commit a202a5a947
2 changed files with 654 additions and 25 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

648
tensorflow/core/ops/compat/ops_history.v1.pbtxt
View File

@ -3066,6 +3066,33 @@ op {
}
is_stateful: true
}
op {
name: "BatchDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "batch_size"
type: DT_INT64
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "BatchFFT"
input_arg {
@ -4488,6 +4515,33 @@ op {
}
is_stateful: true
}
op {
name: "CacheDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "filename"
type: DT_STRING
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "Cast"
input_arg {
@ -4890,6 +4944,33 @@ op {
}
is_stateful: true
}
op {
name: "ConcatenateDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "another_dataset"
type: DT_VARIANT
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "ConditionalAccumulator"
output_arg {
@ -6877,6 +6958,37 @@ op {
}
is_stateful: true
}
op {
name: "DenseToSparseBatchDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "batch_size"
type: DT_INT64
}
input_arg {
name: "row_shape"
type: DT_INT64
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "DenseToSparseSetOperation"
input_arg {
@ -9141,6 +9253,42 @@ op {
}
is_stateful: true
}
op {
name: "FilterDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "other_arguments"
type_list_attr: "Targuments"
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "predicate"
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
}
}
op {
name: "FixedLengthRecordDataset"
input_arg {
@ -9639,6 +9787,42 @@ op {
}
is_stateful: true
}
op {
name: "FlatMapDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "other_arguments"
type_list_attr: "Targuments"
}
output_arg {
name: "handle"
type: DT_VARIANT
}
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
}
}
op {
name: "Floor"
input_arg {
@ -10558,6 +10742,68 @@ op {
}
is_stateful: true
}
op {
name: "GroupByWindowDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "key_func_other_arguments"
type_list_attr: "Tkey_func_other_arguments"
}
input_arg {
name: "reduce_func_other_arguments"
type_list_attr: "Treduce_func_other_arguments"
}
input_arg {
name: "window_size_func_other_arguments"
type_list_attr: "Twindow_size_func_other_arguments"
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "key_func"
type: "func"
}
attr {
name: "reduce_func"
type: "func"
}
attr {
name: "window_size_func"
type: "func"
}
attr {
name: "Tkey_func_other_arguments"
type: "list(type)"
has_minimum: true
}
attr {
name: "Treduce_func_other_arguments"
type: "list(type)"
has_minimum: true
}
attr {
name: "Twindow_size_func_other_arguments"
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
}
}
op {
name: "HSVToRGB"
input_arg {
@ -10921,6 +11167,29 @@ op {
}
is_stateful: true
}
op {
name: "IgnoreErrorsDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "Imag"
input_arg {
@ -11270,6 +11539,50 @@ op {
}
is_stateful: true
}
op {
name: "InterleaveDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
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_VARIANT
}
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
}
}
op {
name: "Inv"
input_arg {
@ -12622,6 +12935,42 @@ op {
}
is_stateful: true
}
op {
name: "MapDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "other_arguments"
type_list_attr: "Targuments"
}
output_arg {
name: "handle"
type: DT_VARIANT
}
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
}
}
op {
name: "MapIncompleteSize"
output_arg {
@ -16276,6 +16625,48 @@ op {
}
is_stateful: true
}
op {
name: "PaddedBatchDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "batch_size"
type: DT_INT64
}
input_arg {
name: "padded_shapes"
type: DT_INT64
number_attr: "N"
}
input_arg {
name: "padding_values"
type_list_attr: "Toutput_types"
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "Toutput_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
attr {
name: "N"
type: "int"
has_minimum: true
minimum: 1
}
}
op {
name: "PaddingFIFOQueue"
output_arg {
@ -16459,6 +16850,46 @@ op {
}
is_stateful: true
}
op {
name: "ParallelMapDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "other_arguments"
type_list_attr: "Targuments"
}
input_arg {
name: "num_parallel_calls"
type: DT_INT32
}
output_arg {
name: "handle"
type: DT_VARIANT
}
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
}
}
op {
name: "ParameterizedTruncatedNormal"
input_arg {
@ -17007,6 +17438,33 @@ op {
}
is_stateful: true
}
op {
name: "PrefetchDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "buffer_size"
type: DT_INT64
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "PreventGradient"
input_arg {
@ -20538,6 +20996,33 @@ op {
}
is_stateful: true
}
op {
name: "RepeatDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "count"
type: DT_INT64
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "RequantizationRange"
input_arg {
@ -24755,6 +25240,41 @@ op {
}
is_stateful: true
}
op {
name: "ShuffleDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "buffer_size"
type: DT_INT64
}
input_arg {
name: "seed"
type: DT_INT64
}
input_arg {
name: "seed2"
type: DT_INT64
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "Sigmoid"
input_arg {
@ -24937,6 +25457,33 @@ op {
}
is_stateful: true
}
op {
name: "SkipDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "count"
type: DT_INT64
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "Skipgram"
output_arg {
@ -25079,6 +25626,50 @@ op {
}
is_stateful: true
}
op {
name: "SloppyInterleaveDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
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_VARIANT
}
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
}
}
op {
name: "Softmax"
input_arg {
@ -29374,6 +29965,33 @@ op {
}
is_stateful: true
}
op {
name: "TakeDataset"
input_arg {
name: "input_dataset"
type: DT_VARIANT
}
input_arg {
name: "count"
type: DT_INT64
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
}
op {
name: "TakeManySparseFromTensorsMap"
input_arg {
@ -31555,3 +32173,33 @@ op {
}
is_stateful: true
}
op {
name: "ZipDataset"
input_arg {
name: "input_datasets"
type: DT_VARIANT
number_attr: "N"
}
output_arg {
name: "handle"
type: DT_VARIANT
}
attr {
name: "output_types"
type: "list(type)"
has_minimum: true
minimum: 1
}
attr {
name: "output_shapes"
type: "list(shape)"
has_minimum: true
minimum: 1
}
attr {
name: "N"
type: "int"
has_minimum: true
minimum: 1
}
}

31
tensorflow/core/ops/ops.pbtxt
View File

@ -2817,7 +2817,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that batches `batch_size` elements from `input_dataset`."
is_stateful: true
}
op {
name: "BatchFFT"
@ -4254,7 +4253,6 @@ op {
}
summary: "Creates a dataset that caches elements from `input_dataset`."
description: "A CacheDataset will iterate over the input_dataset, and store tensors. If the\ncache already exists, the cache will be used. If the cache is inappropriate\n(e.g. cannot be opened, contains tensors of the wrong shape / size), an error\nwill the returned when used."
is_stateful: true
}
op {
name: "Cast"
@ -4683,7 +4681,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that concatenates `input_dataset` with `another_dataset`."
is_stateful: true
}
op {
name: "ConditionalAccumulator"
@ -6395,7 +6392,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that yields a SparseTensor for each element of the input."
is_stateful: true
}
op {
name: "DenseToSparseSetOperation"
@ -8331,7 +8327,6 @@ op {
}
summary: "Creates a dataset containing elements of `input_dataset` matching `predicate`."
description: "The `predicate` function must return a scalar boolean and accept the\nfollowing arguments:\n\n* One tensor for each component of an element of `input_dataset`.\n* One tensor for each value in `other_arguments`."
is_stateful: true
}
op {
name: "FixedLengthRecordDataset"
@ -8623,7 +8618,7 @@ op {
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`."
description: "A function mapping elements of `input_dataset`, concatenated with\n`other_arguments`, to a Dataset variant that contains elements matching\n`output_types` and `output_shapes`."
}
attr {
name: "Targuments"
@ -8643,8 +8638,7 @@ op {
minimum: 1
}
summary: "Creates a dataset that applies `f` to the outputs of `input_dataset`."
description: "Unlike MapDataset, the `f` in FlatMapDataset is expected to return a\nDataset resource, and FlatMapDataset will flatten successive results\ninto a single Dataset."
is_stateful: true
description: "Unlike MapDataset, the `f` in FlatMapDataset is expected to return a\nDataset variant, and FlatMapDataset will flatten successive results\ninto a single Dataset."
}
op {
name: "Floor"
@ -9661,7 +9655,6 @@ op {
}
summary: "Creates a dataset that computes a windowed group-by on `input_dataset`."
description: "// TODO(mrry): Support non-int64 keys."
is_stateful: true
}
op {
name: "HSVToRGB"
@ -10094,7 +10087,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that contains the elements of `input_dataset` ignoring errors."
is_stateful: true
}
op {
name: "Imag"
@ -10475,7 +10467,7 @@ op {
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`."
description: "A function mapping elements of `input_dataset`, concatenated with\n`other_arguments`, to a Dataset variant that contains elements matching\n`output_types` and `output_shapes`."
}
attr {
name: "Targuments"
@ -10495,8 +10487,7 @@ op {
minimum: 1
}
summary: "Creates a dataset that applies `f` to the outputs of `input_dataset`."
description: "Unlike MapDataset, the `f` in InterleaveDataset is expected to return\na Dataset resource, and InterleaveDataset will flatten successive\nresults into a single Dataset. Unlike FlatMapDataset,\nInterleaveDataset will interleave sequences of up to `block_length`\nconsecutive elements from `cycle_length` input elements."
is_stateful: true
description: "Unlike MapDataset, the `f` in InterleaveDataset is expected to return\na Dataset variant, and InterleaveDataset will flatten successive\nresults into a single Dataset. Unlike FlatMapDataset,\nInterleaveDataset will interleave sequences of up to `block_length`\nconsecutive elements from `cycle_length` input elements."
}
op {
name: "Inv"
@ -11879,7 +11870,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that applies `f` to the outputs of `input_dataset`."
is_stateful: true
}
op {
name: "MapIncompleteSize"
@ -14652,7 +14642,7 @@ op {
attr {
name: "dataset_factory"
type: "func"
description: "A function of type `() -> DT_VARIANT`, where the returned\nDT_VARIANT is a handle to a dataset."
description: "A function of type `() -> DT_VARIANT`, where the returned\nDT_VARIANT is a dataset."
}
attr {
name: "output_types"
@ -15213,7 +15203,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that batches and pads `batch_size` elements from the input."
is_stateful: true
}
op {
name: "PaddingFIFOQueue"
@ -15422,7 +15411,6 @@ op {
}
summary: "Creates a dataset that applies `f` to the outputs of `input_dataset`."
description: "Unlike a \"MapDataset\", which applies `f` sequentially, this dataset invokes up\nto `num_parallel_calls` copies of `f` in parallel."
is_stateful: true
}
op {
name: "ParameterizedTruncatedNormal"
@ -15996,7 +15984,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that asynchronously prefetches elements from `input_dataset`."
is_stateful: true
}
op {
name: "PreventGradient"
@ -19883,7 +19870,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that emits the outputs of `input_dataset` `count` times."
is_stateful: true
}
op {
name: "RequantizationRange"
@ -24229,7 +24215,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that shuffles elements from `input_dataset` pseudorandomly."
is_stateful: true
}
op {
name: "Sigmoid"
@ -24423,7 +24408,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that skips `count` elements from the `input_dataset`."
is_stateful: true
}
op {
name: "Skipgram"
@ -24565,7 +24549,7 @@ op {
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`."
description: "A function mapping elements of `input_dataset`, concatenated with\n`other_arguments`, to a Dataset variant that contains elements matching\n`output_types` and `output_shapes`."
}
attr {
name: "Targuments"
@ -24586,7 +24570,6 @@ op {
}
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"
@ -29307,7 +29290,6 @@ op {
minimum: 1
}
summary: "Creates a dataset that contains `count` elements from the `input_dataset`."
is_stateful: true
}
op {
name: "TakeManySparseFromTensorsMap"
@ -31595,5 +31577,4 @@ op {
minimum: 1
}
summary: "Creates a dataset that zips together `input_datasets`."
is_stateful: true
}