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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/framework/api_def.proto
package org.tensorflow.framework;
/**
*
* Used to specify and override the default API & behavior in the
* generated code for client languages, from what you would get from
* the OpDef alone. There will be a set of ApiDefs that are common
* to all client languages, and another set per client language.
* The per-client-language ApiDefs will inherit values from the
* common ApiDefs which it can either replace or modify.
* We separate the API definition from the OpDef so we can evolve the
* API while remaining backwards compatible when interpretting old
* graphs. Overrides go in an "api_def.pbtxt" file with a text-format
* ApiDefs message.
* WARNING: Be *very* careful changing the API for any existing op --
* you can change the semantics of existing code. These changes may
* need to wait until a major release of TensorFlow to avoid breaking
* our compatibility promises.
*
*
* Protobuf type {@code tensorflow.ApiDef}
*/
public final class ApiDef extends
com.github.os72.protobuf351.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.ApiDef)
ApiDefOrBuilder {
private static final long serialVersionUID = 0L;
// Use ApiDef.newBuilder() to construct.
private ApiDef(com.github.os72.protobuf351.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ApiDef() {
graphOpName_ = "";
visibility_ = 0;
endpoint_ = java.util.Collections.emptyList();
inArg_ = java.util.Collections.emptyList();
outArg_ = java.util.Collections.emptyList();
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attr_ = java.util.Collections.emptyList();
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description_ = "";
descriptionPrefix_ = "";
descriptionSuffix_ = "";
}
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public static final com.github.os72.protobuf351.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.framework.ApiDefProtos.internal_static_tensorflow_ApiDef_descriptor;
}
protected com.github.os72.protobuf351.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.framework.ApiDefProtos.internal_static_tensorflow_ApiDef_fieldAccessorTable
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org.tensorflow.framework.ApiDef.class, org.tensorflow.framework.ApiDef.Builder.class);
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/**
* Protobuf enum {@code tensorflow.ApiDef.Visibility}
*/
public enum Visibility
implements com.github.os72.protobuf351.ProtocolMessageEnum {
/**
*
* Normally this is "VISIBLE" unless you are inheriting a
* different value from another ApiDef.
*
* Normally this is "VISIBLE" unless you are inheriting a
* different value from another ApiDef.
*
*
* DEFAULT_VISIBILITY = 0;
*/
public static final int DEFAULT_VISIBILITY_VALUE = 0;
/**
*
* Publicly visible in the API.
*
*
* VISIBLE = 1;
*/
public static final int VISIBLE_VALUE = 1;
/**
*
* Do not include this op in the generated API. If visibility is
* set to 'SKIP', other fields are ignored for this op.
*
*
* SKIP = 2;
*/
public static final int SKIP_VALUE = 2;
/**
*
* Hide this op by putting it into an internal namespace (or whatever
* is appropriate in the target language).
*
*
* HIDDEN = 3;
*/
public static final int HIDDEN_VALUE = 3;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
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}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static Visibility valueOf(int value) {
return forNumber(value);
}
public static Visibility forNumber(int value) {
switch (value) {
case 0: return DEFAULT_VISIBILITY;
case 1: return VISIBLE;
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default: return null;
}
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// @@protoc_insertion_point(enum_scope:tensorflow.ApiDef.Visibility)
}
public interface EndpointOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.ApiDef.Endpoint)
com.github.os72.protobuf351.MessageOrBuilder {
/**
*
* Name should be either like "CamelCaseName" or
* "Package.CamelCaseName". Client-language-specific ApiDefs may
* use a snake_case convention instead of CamelCase.
*
* Name should be either like "CamelCaseName" or
* "Package.CamelCaseName". Client-language-specific ApiDefs may
* use a snake_case convention instead of CamelCase.
*
* If this endpoint is deprecated, set deprecation_message to a
* message that should be logged when the endpoint is used.
* The message should indicate alternative endpoint to use, if any.
*
* If this endpoint is deprecated, set deprecation_message to a
* message that should be logged when the endpoint is used.
* The message should indicate alternative endpoint to use, if any.
*
* If you specify any endpoint, this will replace all of the
* inherited endpoints. The first endpoint should be the
* "canonical" endpoint, and should not be deprecated (unless all
* endpoints are deprecated).
*
*
* Protobuf type {@code tensorflow.ApiDef.Endpoint}
*/
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com.github.os72.protobuf351.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.ApiDef.Endpoint)
EndpointOrBuilder {
private static final long serialVersionUID = 0L;
// Use Endpoint.newBuilder() to construct.
private Endpoint(com.github.os72.protobuf351.GeneratedMessageV3.Builder builder) {
super(builder);
}
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deprecationMessage_ = "";
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*
* Name should be either like "CamelCaseName" or
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*
* Name should be either like "CamelCaseName" or
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*
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* The message should indicate alternative endpoint to use, if any.
*
* If this endpoint is deprecated, set deprecation_message to a
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*
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/**
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*
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return endpoint_.get(index);
}
public static final int IN_ARG_FIELD_NUMBER = 4;
private java.util.List inArg_;
/**
* repeated .tensorflow.ApiDef.Arg in_arg = 4;
*/
public java.util.List getInArgList() {
return inArg_;
}
/**
* repeated .tensorflow.ApiDef.Arg in_arg = 4;
*/
public java.util.List
getInArgOrBuilderList() {
return inArg_;
}
/**
* repeated .tensorflow.ApiDef.Arg in_arg = 4;
*/
public int getInArgCount() {
return inArg_.size();
}
/**
* repeated .tensorflow.ApiDef.Arg in_arg = 4;
*/
public org.tensorflow.framework.ApiDef.Arg getInArg(int index) {
return inArg_.get(index);
}
/**
* repeated .tensorflow.ApiDef.Arg in_arg = 4;
*/
public org.tensorflow.framework.ApiDef.ArgOrBuilder getInArgOrBuilder(
int index) {
return inArg_.get(index);
}
public static final int OUT_ARG_FIELD_NUMBER = 5;
private java.util.List outArg_;
/**
* repeated .tensorflow.ApiDef.Arg out_arg = 5;
*/
public java.util.List getOutArgList() {
return outArg_;
}
/**
* repeated .tensorflow.ApiDef.Arg out_arg = 5;
*/
public java.util.List
getOutArgOrBuilderList() {
return outArg_;
}
/**
* repeated .tensorflow.ApiDef.Arg out_arg = 5;
*/
public int getOutArgCount() {
return outArg_.size();
}
/**
* repeated .tensorflow.ApiDef.Arg out_arg = 5;
*/
public org.tensorflow.framework.ApiDef.Arg getOutArg(int index) {
return outArg_.get(index);
}
/**
* repeated .tensorflow.ApiDef.Arg out_arg = 5;
*/
public org.tensorflow.framework.ApiDef.ArgOrBuilder getOutArgOrBuilder(
int index) {
return outArg_.get(index);
}
public static final int ARG_ORDER_FIELD_NUMBER = 11;
private com.github.os72.protobuf351.LazyStringList argOrder_;
/**
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
*
* repeated string arg_order = 11;
*/
public int getArgOrderCount() {
return argOrder_.size();
}
/**
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
*
* repeated string arg_order = 11;
*/
public com.github.os72.protobuf351.ByteString
getArgOrderBytes(int index) {
return argOrder_.getByteString(index);
}
public static final int ATTR_FIELD_NUMBER = 6;
private java.util.List attr_;
/**
* repeated .tensorflow.ApiDef.Attr attr = 6;
*/
public java.util.List getAttrList() {
return attr_;
}
/**
* repeated .tensorflow.ApiDef.Attr attr = 6;
*/
public java.util.List
getAttrOrBuilderList() {
return attr_;
}
/**
* repeated .tensorflow.ApiDef.Attr attr = 6;
*/
public int getAttrCount() {
return attr_.size();
}
/**
* repeated .tensorflow.ApiDef.Attr attr = 6;
*/
public org.tensorflow.framework.ApiDef.Attr getAttr(int index) {
return attr_.get(index);
}
/**
* repeated .tensorflow.ApiDef.Attr attr = 6;
*/
public org.tensorflow.framework.ApiDef.AttrOrBuilder getAttrOrBuilder(
int index) {
return attr_.get(index);
}
public static final int SUMMARY_FIELD_NUMBER = 7;
private volatile java.lang.Object summary_;
/**
*
* One-line human-readable description of what the Op does.
*
* Modify an existing/inherited description by adding text to the beginning
* or end.
*
*
* string description_prefix = 9;
*/
public com.github.os72.protobuf351.ByteString
getDescriptionPrefixBytes() {
java.lang.Object ref = descriptionPrefix_;
if (ref instanceof java.lang.String) {
com.github.os72.protobuf351.ByteString b =
com.github.os72.protobuf351.ByteString.copyFromUtf8(
(java.lang.String) ref);
descriptionPrefix_ = b;
return b;
} else {
return (com.github.os72.protobuf351.ByteString) ref;
}
}
public static final int DESCRIPTION_SUFFIX_FIELD_NUMBER = 10;
private volatile java.lang.Object descriptionSuffix_;
/**
* string description_suffix = 10;
*/
public java.lang.String getDescriptionSuffix() {
java.lang.Object ref = descriptionSuffix_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.github.os72.protobuf351.ByteString bs =
(com.github.os72.protobuf351.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
descriptionSuffix_ = s;
return s;
}
}
/**
* string description_suffix = 10;
*/
public com.github.os72.protobuf351.ByteString
getDescriptionSuffixBytes() {
java.lang.Object ref = descriptionSuffix_;
if (ref instanceof java.lang.String) {
com.github.os72.protobuf351.ByteString b =
com.github.os72.protobuf351.ByteString.copyFromUtf8(
(java.lang.String) ref);
descriptionSuffix_ = b;
return b;
} else {
return (com.github.os72.protobuf351.ByteString) ref;
}
}
private byte memoizedIsInitialized = -1;
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
public void writeTo(com.github.os72.protobuf351.CodedOutputStream output)
throws java.io.IOException {
if (!getGraphOpNameBytes().isEmpty()) {
com.github.os72.protobuf351.GeneratedMessageV3.writeString(output, 1, graphOpName_);
}
if (visibility_ != org.tensorflow.framework.ApiDef.Visibility.DEFAULT_VISIBILITY.getNumber()) {
output.writeEnum(2, visibility_);
}
for (int i = 0; i < endpoint_.size(); i++) {
output.writeMessage(3, endpoint_.get(i));
}
for (int i = 0; i < inArg_.size(); i++) {
output.writeMessage(4, inArg_.get(i));
}
for (int i = 0; i < outArg_.size(); i++) {
output.writeMessage(5, outArg_.get(i));
}
for (int i = 0; i < attr_.size(); i++) {
output.writeMessage(6, attr_.get(i));
}
if (!getSummaryBytes().isEmpty()) {
com.github.os72.protobuf351.GeneratedMessageV3.writeString(output, 7, summary_);
}
if (!getDescriptionBytes().isEmpty()) {
com.github.os72.protobuf351.GeneratedMessageV3.writeString(output, 8, description_);
}
if (!getDescriptionPrefixBytes().isEmpty()) {
com.github.os72.protobuf351.GeneratedMessageV3.writeString(output, 9, descriptionPrefix_);
}
if (!getDescriptionSuffixBytes().isEmpty()) {
com.github.os72.protobuf351.GeneratedMessageV3.writeString(output, 10, descriptionSuffix_);
}
for (int i = 0; i < argOrder_.size(); i++) {
com.github.os72.protobuf351.GeneratedMessageV3.writeString(output, 11, argOrder_.getRaw(i));
}
unknownFields.writeTo(output);
}
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (!getGraphOpNameBytes().isEmpty()) {
size += com.github.os72.protobuf351.GeneratedMessageV3.computeStringSize(1, graphOpName_);
}
if (visibility_ != org.tensorflow.framework.ApiDef.Visibility.DEFAULT_VISIBILITY.getNumber()) {
size += com.github.os72.protobuf351.CodedOutputStream
.computeEnumSize(2, visibility_);
}
for (int i = 0; i < endpoint_.size(); i++) {
size += com.github.os72.protobuf351.CodedOutputStream
.computeMessageSize(3, endpoint_.get(i));
}
for (int i = 0; i < inArg_.size(); i++) {
size += com.github.os72.protobuf351.CodedOutputStream
.computeMessageSize(4, inArg_.get(i));
}
for (int i = 0; i < outArg_.size(); i++) {
size += com.github.os72.protobuf351.CodedOutputStream
.computeMessageSize(5, outArg_.get(i));
}
for (int i = 0; i < attr_.size(); i++) {
size += com.github.os72.protobuf351.CodedOutputStream
.computeMessageSize(6, attr_.get(i));
}
if (!getSummaryBytes().isEmpty()) {
size += com.github.os72.protobuf351.GeneratedMessageV3.computeStringSize(7, summary_);
}
if (!getDescriptionBytes().isEmpty()) {
size += com.github.os72.protobuf351.GeneratedMessageV3.computeStringSize(8, description_);
}
if (!getDescriptionPrefixBytes().isEmpty()) {
size += com.github.os72.protobuf351.GeneratedMessageV3.computeStringSize(9, descriptionPrefix_);
}
if (!getDescriptionSuffixBytes().isEmpty()) {
size += com.github.os72.protobuf351.GeneratedMessageV3.computeStringSize(10, descriptionSuffix_);
}
{
int dataSize = 0;
for (int i = 0; i < argOrder_.size(); i++) {
dataSize += computeStringSizeNoTag(argOrder_.getRaw(i));
}
size += dataSize;
size += 1 * getArgOrderList().size();
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.tensorflow.framework.ApiDef)) {
return super.equals(obj);
}
org.tensorflow.framework.ApiDef other = (org.tensorflow.framework.ApiDef) obj;
boolean result = true;
result = result && getGraphOpName()
.equals(other.getGraphOpName());
result = result && visibility_ == other.visibility_;
result = result && getEndpointList()
.equals(other.getEndpointList());
result = result && getInArgList()
.equals(other.getInArgList());
result = result && getOutArgList()
.equals(other.getOutArgList());
result = result && getArgOrderList()
.equals(other.getArgOrderList());
result = result && getAttrList()
.equals(other.getAttrList());
result = result && getSummary()
.equals(other.getSummary());
result = result && getDescription()
.equals(other.getDescription());
result = result && getDescriptionPrefix()
.equals(other.getDescriptionPrefix());
result = result && getDescriptionSuffix()
.equals(other.getDescriptionSuffix());
result = result && unknownFields.equals(other.unknownFields);
return result;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + GRAPH_OP_NAME_FIELD_NUMBER;
hash = (53 * hash) + getGraphOpName().hashCode();
hash = (37 * hash) + VISIBILITY_FIELD_NUMBER;
hash = (53 * hash) + visibility_;
if (getEndpointCount() > 0) {
hash = (37 * hash) + ENDPOINT_FIELD_NUMBER;
hash = (53 * hash) + getEndpointList().hashCode();
}
if (getInArgCount() > 0) {
hash = (37 * hash) + IN_ARG_FIELD_NUMBER;
hash = (53 * hash) + getInArgList().hashCode();
}
if (getOutArgCount() > 0) {
hash = (37 * hash) + OUT_ARG_FIELD_NUMBER;
hash = (53 * hash) + getOutArgList().hashCode();
}
if (getArgOrderCount() > 0) {
hash = (37 * hash) + ARG_ORDER_FIELD_NUMBER;
hash = (53 * hash) + getArgOrderList().hashCode();
}
if (getAttrCount() > 0) {
hash = (37 * hash) + ATTR_FIELD_NUMBER;
hash = (53 * hash) + getAttrList().hashCode();
}
hash = (37 * hash) + SUMMARY_FIELD_NUMBER;
hash = (53 * hash) + getSummary().hashCode();
hash = (37 * hash) + DESCRIPTION_FIELD_NUMBER;
hash = (53 * hash) + getDescription().hashCode();
hash = (37 * hash) + DESCRIPTION_PREFIX_FIELD_NUMBER;
hash = (53 * hash) + getDescriptionPrefix().hashCode();
hash = (37 * hash) + DESCRIPTION_SUFFIX_FIELD_NUMBER;
hash = (53 * hash) + getDescriptionSuffix().hashCode();
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.framework.ApiDef parseFrom(
java.nio.ByteBuffer data)
throws com.github.os72.protobuf351.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.ApiDef parseFrom(
java.nio.ByteBuffer data,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
throws com.github.os72.protobuf351.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.ApiDef parseFrom(
com.github.os72.protobuf351.ByteString data)
throws com.github.os72.protobuf351.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.ApiDef parseFrom(
com.github.os72.protobuf351.ByteString data,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
throws com.github.os72.protobuf351.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.ApiDef parseFrom(byte[] data)
throws com.github.os72.protobuf351.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.framework.ApiDef parseFrom(
byte[] data,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
throws com.github.os72.protobuf351.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.framework.ApiDef parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.github.os72.protobuf351.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.ApiDef parseFrom(
java.io.InputStream input,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.github.os72.protobuf351.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.framework.ApiDef parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.github.os72.protobuf351.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.framework.ApiDef parseDelimitedFrom(
java.io.InputStream input,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.github.os72.protobuf351.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static org.tensorflow.framework.ApiDef parseFrom(
com.github.os72.protobuf351.CodedInputStream input)
throws java.io.IOException {
return com.github.os72.protobuf351.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.framework.ApiDef parseFrom(
com.github.os72.protobuf351.CodedInputStream input,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.github.os72.protobuf351.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.tensorflow.framework.ApiDef prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.github.os72.protobuf351.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Used to specify and override the default API & behavior in the
* generated code for client languages, from what you would get from
* the OpDef alone. There will be a set of ApiDefs that are common
* to all client languages, and another set per client language.
* The per-client-language ApiDefs will inherit values from the
* common ApiDefs which it can either replace or modify.
* We separate the API definition from the OpDef so we can evolve the
* API while remaining backwards compatible when interpretting old
* graphs. Overrides go in an "api_def.pbtxt" file with a text-format
* ApiDefs message.
* WARNING: Be *very* careful changing the API for any existing op --
* you can change the semantics of existing code. These changes may
* need to wait until a major release of TensorFlow to avoid breaking
* our compatibility promises.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
*
* repeated string arg_order = 11;
*/
public int getArgOrderCount() {
return argOrder_.size();
}
/**
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
*
* repeated string arg_order = 11;
*/
public Builder setArgOrder(
int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureArgOrderIsMutable();
argOrder_.set(index, value);
onChanged();
return this;
}
/**
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
* List of original in_arg names to specify new argument order.
* Length of arg_order should be either empty to keep current order
* or match size of in_arg.
*
