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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2018-09-26 08:21:53 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-09-26 08:26:38 -0700
commit5498f24a3385bdd256b8b1e41329c5841996b26d (patch)
tree859fc7c8d48b75539d4f35194554cc1bcefe8e4e /tensorflow/core/ops/compat
parente45f7ee4182d5e831026f329cff5da2596d6733a (diff)
Changed FusedBatchNorm and FusedBatchNormGrad to use allowed_values for data_format attr.
PiperOrigin-RevId: 214608039
Diffstat (limited to 'tensorflow/core/ops/compat')
-rw-r--r--tensorflow/core/ops/compat/ops_history.v1.pbtxt338
1 files changed, 338 insertions, 0 deletions
diff --git a/tensorflow/core/ops/compat/ops_history.v1.pbtxt b/tensorflow/core/ops/compat/ops_history.v1.pbtxt
index 86d4c6b421..0c64408892 100644
--- a/tensorflow/core/ops/compat/ops_history.v1.pbtxt
+++ b/tensorflow/core/ops/compat/ops_history.v1.pbtxt
@@ -24105,6 +24105,85 @@ op {
}
}
op {
+ name: "FusedBatchNorm"
+ input_arg {
+ name: "x"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "scale"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "offset"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "mean"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "variance"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "y"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "batch_mean"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "batch_variance"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "reserve_space_1"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "reserve_space_2"
+ type_attr: "T"
+ }
+ attr {
+ name: "T"
+ type: "type"
+ allowed_values {
+ list {
+ type: DT_FLOAT
+ }
+ }
+ }
+ attr {
+ name: "epsilon"
+ type: "float"
+ default_value {
+ f: 0.0001
+ }
+ }
+ attr {
+ name: "data_format"
+ type: "string"
+ default_value {
+ s: "NHWC"
+ }
+ allowed_values {
+ list {
+ s: "NHWC"
+ s: "NCHW"
+ }
+ }
+ }
+ attr {
+ name: "is_training"
+ type: "bool"
+ default_value {
+ b: true
+ }
+ }
+}
+op {
name: "FusedBatchNormGrad"
input_arg {
name: "y_backprop"
@@ -24178,6 +24257,168 @@ op {
}
}
op {
+ name: "FusedBatchNormGrad"
+ input_arg {
+ name: "y_backprop"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "x"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "scale"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "reserve_space_1"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "reserve_space_2"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "x_backprop"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "scale_backprop"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "offset_backprop"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "reserve_space_3"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "reserve_space_4"
+ type_attr: "T"
+ }
+ attr {
+ name: "T"
+ type: "type"
+ allowed_values {
+ list {
+ type: DT_FLOAT
+ }
+ }
+ }
+ attr {
+ name: "epsilon"
+ type: "float"
+ default_value {
+ f: 0.0001
+ }
+ }
+ attr {
+ name: "data_format"
+ type: "string"
+ default_value {
+ s: "NHWC"
+ }
+ allowed_values {
+ list {
+ s: "NHWC"
+ s: "NCHW"
+ }
+ }
+ }
+ attr {
+ name: "is_training"
+ type: "bool"
+ default_value {
+ b: true
+ }
+ }
+}
+op {
+ name: "FusedBatchNormGradV2"
+ input_arg {
+ name: "y_backprop"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "x"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "scale"
+ type: DT_FLOAT
+ }
+ input_arg {
+ name: "reserve_space_1"
+ type_attr: "U"
+ }
+ input_arg {
+ name: "reserve_space_2"
+ type_attr: "U"
+ }
+ output_arg {
+ name: "x_backprop"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "scale_backprop"
+ type_attr: "U"
+ }
+ output_arg {
+ name: "offset_backprop"
+ type_attr: "U"
+ }
+ output_arg {
+ name: "reserve_space_3"
+ type_attr: "U"
+ }
+ output_arg {
+ name: "reserve_space_4"
+ type_attr: "U"
+ }
+ attr {
+ name: "T"
+ type: "type"
+ allowed_values {
+ list {
+ type: DT_HALF
+ type: DT_FLOAT
+ }
+ }
+ }
+ attr {
+ name: "U"
+ type: "type"
+ allowed_values {
+ list {
+ type: DT_FLOAT
+ }
+ }
+ }
+ attr {
+ name: "epsilon"
+ type: "float"
+ default_value {
+ f: 0.0001
+ }
+ }
+ attr {
+ name: "data_format"
+ type: "string"
+ default_value {
+ s: "NHWC"
+ }
+ }
+ attr {
+ name: "is_training"
+ type: "bool"
+ default_value {
+ b: true
+ }
+ }
+}
+op {
name: "FusedBatchNormGradV2"
input_arg {
name: "y_backprop"
@@ -24225,6 +24466,7 @@ op {
allowed_values {
list {
type: DT_HALF
+ type: DT_BFLOAT16
type: DT_FLOAT
}
}
@@ -24335,6 +24577,12 @@ op {
default_value {
s: "NHWC"
}
+ allowed_values {
+ list {
+ s: "NHWC"
+ s: "NCHW"
+ }
+ }
}
attr {
name: "is_training"
@@ -24512,6 +24760,96 @@ op {
}
}
op {
+ name: "FusedBatchNormV2"
+ input_arg {
+ name: "x"
+ type_attr: "T"
+ }
+ input_arg {
+ name: "scale"
+ type_attr: "U"
+ }
+ input_arg {
+ name: "offset"
+ type_attr: "U"
+ }
+ input_arg {
+ name: "mean"
+ type_attr: "U"
+ }
+ input_arg {
+ name: "variance"
+ type_attr: "U"
+ }
+ output_arg {
+ name: "y"
+ type_attr: "T"
+ }
+ output_arg {
+ name: "batch_mean"
+ type_attr: "U"
+ }
+ output_arg {
+ name: "batch_variance"
+ type_attr: "U"
+ }
+ output_arg {
+ name: "reserve_space_1"
+ type_attr: "U"
+ }
+ output_arg {
+ name: "reserve_space_2"
+ type_attr: "U"
+ }
+ attr {
+ name: "T"
+ type: "type"
+ allowed_values {
+ list {
+ type: DT_HALF
+ type: DT_BFLOAT16
+ type: DT_FLOAT
+ }
+ }
+ }
+ attr {
+ name: "U"
+ type: "type"
+ allowed_values {
+ list {
+ type: DT_FLOAT
+ }
+ }
+ }
+ attr {
+ name: "epsilon"
+ type: "float"
+ default_value {
+ f: 0.0001
+ }
+ }
+ attr {
+ name: "data_format"
+ type: "string"
+ default_value {
+ s: "NHWC"
+ }
+ allowed_values {
+ list {
+ s: "NHWC"
+ s: "NCHW"
+ }
+ }
+ }
+ attr {
+ name: "is_training"
+ type: "bool"
+ default_value {
+ b: true
+ }
+ }
+}
+op {
name: "FusedPadConv2D"
input_arg {
name: "input"