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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/contrib/lite/toco/model_flags.proto
package toco;
public final class ModelFlagsOuterClass {
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/**
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*
*
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boolean hasName();
/**
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* Name of the input arrays, i.e. the arrays from which input activations
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*
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* optional string name = 1;
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java.lang.String getName();
/**
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*
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/**
*
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* for an image model taking RGB images as input, this would have the value 3.
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*
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boolean hasShape();
/**
*
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* a value of -1.
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*
*
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toco.ModelFlagsOuterClass.InputArrayShape getShape();
/**
*
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* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
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* for an image model taking RGB images as input, this would have the value 3.
*
*
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toco.ModelFlagsOuterClass.InputArrayShapeOrBuilder getShapeOrBuilder();
/**
*
* mean_value and std_value parameters control the interpretation of raw input
* activation values (elements of the input array) as real numbers. The
* mapping is given by:
* real_value = (raw_input_value - mean_value) / std_value
* In particular, the defaults (mean_value=0, std_value=1) yield
* real_value = raw_input_value. Often, non-default values are used in image
* models. For example, an image model taking uint8 image channel values as
* its raw inputs, in [0, 255] range, may use mean_value=128, std_value=128 to
* map them into the interval [-1, 1).
* Note: this matches exactly the meaning of mean_value and std_value in
* (TensorFlow via LegacyFedInput).
*
*
* optional float mean_value = 3;
*/
boolean hasMeanValue();
/**
*
* mean_value and std_value parameters control the interpretation of raw input
* activation values (elements of the input array) as real numbers. The
* mapping is given by:
* real_value = (raw_input_value - mean_value) / std_value
* In particular, the defaults (mean_value=0, std_value=1) yield
* real_value = raw_input_value. Often, non-default values are used in image
* models. For example, an image model taking uint8 image channel values as
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* map them into the interval [-1, 1).
* Note: this matches exactly the meaning of mean_value and std_value in
* (TensorFlow via LegacyFedInput).
*
*
* optional float mean_value = 3;
*/
float getMeanValue();
/**
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*/
boolean hasStdValue();
/**
* optional float std_value = 4 [default = 1];
*/
float getStdValue();
/**
*
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* In many graphs, the input arrays already have defined data types,
* e.g. Placeholder nodes in a TensorFlow GraphDef have a dtype attribute.
* In those cases, it is not needed to specify this data_type flag.
* The purpose of this flag is only to define the data type of input
* arrays whose type isn't defined in the input graph file. For example,
* when specifying an arbitrary (not Placeholder) --input_array into
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* When this data_type is quantized (e.g. QUANTIZED_UINT8), the
* corresponding quantization parameters are the mean_value, std_value
* fields.
* It is also important to understand the nuance between this data_type
* flag and the inference_input_type in TocoFlags. The basic difference
* is that this data_type (like all ModelFlags) describes a property
* of the input graph, while inference_input_type (like all TocoFlags)
* describes an aspect of the toco transformation process and thus of
* the output file. The types of input arrays may be different between
* the input and output files if quantization or dequantization occurred.
* Such differences can only occur for real-number data i.e. only
* between FLOAT and quantized types (e.g. QUANTIZED_UINT8).
*
*
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*/
boolean hasDataType();
/**
*
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* In many graphs, the input arrays already have defined data types,
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toco.Types.IODataType getDataType();
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*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
public boolean hasShape() {
return ((bitField0_ & 0x00000002) == 0x00000002);
}
/**
*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
public toco.ModelFlagsOuterClass.InputArrayShape getShape() {
if (shapeBuilder_ == null) {
return shape_ == null ? toco.ModelFlagsOuterClass.InputArrayShape.getDefaultInstance() : shape_;
} else {
return shapeBuilder_.getMessage();
}
}
/**
*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
public Builder setShape(toco.ModelFlagsOuterClass.InputArrayShape value) {
if (shapeBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
shape_ = value;
onChanged();
} else {
shapeBuilder_.setMessage(value);
}
bitField0_ |= 0x00000002;
return this;
}
/**
*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
public Builder setShape(
toco.ModelFlagsOuterClass.InputArrayShape.Builder builderForValue) {
if (shapeBuilder_ == null) {
shape_ = builderForValue.build();
onChanged();
} else {
shapeBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000002;
return this;
}
/**
*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
public Builder mergeShape(toco.ModelFlagsOuterClass.InputArrayShape value) {
if (shapeBuilder_ == null) {
if (((bitField0_ & 0x00000002) == 0x00000002) &&
shape_ != null &&
shape_ != toco.ModelFlagsOuterClass.InputArrayShape.getDefaultInstance()) {
shape_ =
toco.ModelFlagsOuterClass.InputArrayShape.newBuilder(shape_).mergeFrom(value).buildPartial();
} else {
shape_ = value;
}
onChanged();
} else {
shapeBuilder_.mergeFrom(value);
}
bitField0_ |= 0x00000002;
return this;
}
/**
*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
public Builder clearShape() {
if (shapeBuilder_ == null) {
shape_ = null;
onChanged();
} else {
shapeBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000002);
return this;
}
/**
*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
public toco.ModelFlagsOuterClass.InputArrayShape.Builder getShapeBuilder() {
bitField0_ |= 0x00000002;
onChanged();
return getShapeFieldBuilder().getBuilder();
}
/**
*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
public toco.ModelFlagsOuterClass.InputArrayShapeOrBuilder getShapeOrBuilder() {
if (shapeBuilder_ != null) {
return shapeBuilder_.getMessageOrBuilder();
} else {
return shape_ == null ?
toco.ModelFlagsOuterClass.InputArrayShape.getDefaultInstance() : shape_;
}
}
/**
*
* Shape of the input. For many applications the dimensions are {batch,
* height, width, depth}. Often the batch is left "unspecified" by providing
* a value of -1.
* The last dimension is typically called 'depth' or 'channels'. For example,
* for an image model taking RGB images as input, this would have the value 3.
*
*
* optional .toco.InputArrayShape shape = 6;
*/
private com.google.protobuf.SingleFieldBuilderV3<
toco.ModelFlagsOuterClass.InputArrayShape, toco.ModelFlagsOuterClass.InputArrayShape.Builder, toco.ModelFlagsOuterClass.InputArrayShapeOrBuilder>
getShapeFieldBuilder() {
if (shapeBuilder_ == null) {
shapeBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
toco.ModelFlagsOuterClass.InputArrayShape, toco.ModelFlagsOuterClass.InputArrayShape.Builder, toco.ModelFlagsOuterClass.InputArrayShapeOrBuilder>(
getShape(),
getParentForChildren(),
isClean());
shape_ = null;
}
return shapeBuilder_;
}
private float meanValue_ ;
/**
*
* mean_value and std_value parameters control the interpretation of raw input
* activation values (elements of the input array) as real numbers. The
* mapping is given by:
* real_value = (raw_input_value - mean_value) / std_value
* In particular, the defaults (mean_value=0, std_value=1) yield
* real_value = raw_input_value. Often, non-default values are used in image
* models. For example, an image model taking uint8 image channel values as
* its raw inputs, in [0, 255] range, may use mean_value=128, std_value=128 to
* map them into the interval [-1, 1).
* Note: this matches exactly the meaning of mean_value and std_value in
* (TensorFlow via LegacyFedInput).
*
*
* optional float mean_value = 3;
*/
public boolean hasMeanValue() {
return ((bitField0_ & 0x00000004) == 0x00000004);
}
/**
*
* mean_value and std_value parameters control the interpretation of raw input
* activation values (elements of the input array) as real numbers. The
* mapping is given by:
* real_value = (raw_input_value - mean_value) / std_value
* In particular, the defaults (mean_value=0, std_value=1) yield
* real_value = raw_input_value. Often, non-default values are used in image
* models. For example, an image model taking uint8 image channel values as
* its raw inputs, in [0, 255] range, may use mean_value=128, std_value=128 to
* map them into the interval [-1, 1).
* Note: this matches exactly the meaning of mean_value and std_value in
* (TensorFlow via LegacyFedInput).
*
*
* optional float mean_value = 3;
*/
public float getMeanValue() {
return meanValue_;
}
/**
*
* mean_value and std_value parameters control the interpretation of raw input
* activation values (elements of the input array) as real numbers. The
* mapping is given by:
* real_value = (raw_input_value - mean_value) / std_value
* In particular, the defaults (mean_value=0, std_value=1) yield
* real_value = raw_input_value. Often, non-default values are used in image
* models. For example, an image model taking uint8 image channel values as
* its raw inputs, in [0, 255] range, may use mean_value=128, std_value=128 to
* map them into the interval [-1, 1).
* Note: this matches exactly the meaning of mean_value and std_value in
* (TensorFlow via LegacyFedInput).
*
*
* optional float mean_value = 3;
*/
public Builder setMeanValue(float value) {
bitField0_ |= 0x00000004;
meanValue_ = value;
onChanged();
return this;
}
/**
*
* mean_value and std_value parameters control the interpretation of raw input
* activation values (elements of the input array) as real numbers. The
* mapping is given by:
* real_value = (raw_input_value - mean_value) / std_value
* In particular, the defaults (mean_value=0, std_value=1) yield
* real_value = raw_input_value. Often, non-default values are used in image
* models. For example, an image model taking uint8 image channel values as
* its raw inputs, in [0, 255] range, may use mean_value=128, std_value=128 to
* map them into the interval [-1, 1).
* Note: this matches exactly the meaning of mean_value and std_value in
* (TensorFlow via LegacyFedInput).
*
*
* optional float mean_value = 3;
*/
public Builder clearMeanValue() {
bitField0_ = (bitField0_ & ~0x00000004);
meanValue_ = 0F;
onChanged();
return this;
}
private float stdValue_ = 1F;
/**
* optional float std_value = 4 [default = 1];
*/
public boolean hasStdValue() {
return ((bitField0_ & 0x00000008) == 0x00000008);
}
/**
* optional float std_value = 4 [default = 1];
*/
public float getStdValue() {
return stdValue_;
}
/**
* optional float std_value = 4 [default = 1];
*/
public Builder setStdValue(float value) {
bitField0_ |= 0x00000008;
stdValue_ = value;
onChanged();
return this;
}
/**
* optional float std_value = 4 [default = 1];
*/
public Builder clearStdValue() {
bitField0_ = (bitField0_ & ~0x00000008);
stdValue_ = 1F;
onChanged();
return this;
}
private int dataType_ = 0;
/**
*
* Data type of the input.
* In many graphs, the input arrays already have defined data types,
* e.g. Placeholder nodes in a TensorFlow GraphDef have a dtype attribute.
* In those cases, it is not needed to specify this data_type flag.
* The purpose of this flag is only to define the data type of input
* arrays whose type isn't defined in the input graph file. For example,
* when specifying an arbitrary (not Placeholder) --input_array into
* a TensorFlow GraphDef.
* When this data_type is quantized (e.g. QUANTIZED_UINT8), the
* corresponding quantization parameters are the mean_value, std_value
* fields.
* It is also important to understand the nuance between this data_type
* flag and the inference_input_type in TocoFlags. The basic difference
* is that this data_type (like all ModelFlags) describes a property
* of the input graph, while inference_input_type (like all TocoFlags)
* describes an aspect of the toco transformation process and thus of
* the output file. The types of input arrays may be different between
* the input and output files if quantization or dequantization occurred.
* Such differences can only occur for real-number data i.e. only
* between FLOAT and quantized types (e.g. QUANTIZED_UINT8).
*
*
* optional .toco.IODataType data_type = 5;
*/
public boolean hasDataType() {
return ((bitField0_ & 0x00000010) == 0x00000010);
}
/**
*
* Data type of the input.
* In many graphs, the input arrays already have defined data types,
* e.g. Placeholder nodes in a TensorFlow GraphDef have a dtype attribute.
* In those cases, it is not needed to specify this data_type flag.
* The purpose of this flag is only to define the data type of input
* arrays whose type isn't defined in the input graph file. For example,
* when specifying an arbitrary (not Placeholder) --input_array into
* a TensorFlow GraphDef.
* When this data_type is quantized (e.g. QUANTIZED_UINT8), the
* corresponding quantization parameters are the mean_value, std_value
* fields.
* It is also important to understand the nuance between this data_type
* flag and the inference_input_type in TocoFlags. The basic difference
* is that this data_type (like all ModelFlags) describes a property
* of the input graph, while inference_input_type (like all TocoFlags)
* describes an aspect of the toco transformation process and thus of
* the output file. The types of input arrays may be different between
* the input and output files if quantization or dequantization occurred.
* Such differences can only occur for real-number data i.e. only
* between FLOAT and quantized types (e.g. QUANTIZED_UINT8).
*
*
* optional .toco.IODataType data_type = 5;
*/
public toco.Types.IODataType getDataType() {
@SuppressWarnings("deprecation")
toco.Types.IODataType result = toco.Types.IODataType.valueOf(dataType_);
return result == null ? toco.Types.IODataType.IO_DATA_TYPE_UNKNOWN : result;
}
/**
*
* Data type of the input.
* In many graphs, the input arrays already have defined data types,
* e.g. Placeholder nodes in a TensorFlow GraphDef have a dtype attribute.
* In those cases, it is not needed to specify this data_type flag.
* The purpose of this flag is only to define the data type of input
* arrays whose type isn't defined in the input graph file. For example,
* when specifying an arbitrary (not Placeholder) --input_array into
* a TensorFlow GraphDef.
* When this data_type is quantized (e.g. QUANTIZED_UINT8), the
* corresponding quantization parameters are the mean_value, std_value
* fields.
* It is also important to understand the nuance between this data_type
* flag and the inference_input_type in TocoFlags. The basic difference
* is that this data_type (like all ModelFlags) describes a property
* of the input graph, while inference_input_type (like all TocoFlags)
* describes an aspect of the toco transformation process and thus of
* the output file. The types of input arrays may be different between
* the input and output files if quantization or dequantization occurred.
* Such differences can only occur for real-number data i.e. only
* between FLOAT and quantized types (e.g. QUANTIZED_UINT8).
*
*
* optional .toco.IODataType data_type = 5;
*/
public Builder setDataType(toco.Types.IODataType value) {
if (value == null) {
throw new NullPointerException();
}
bitField0_ |= 0x00000010;
dataType_ = value.getNumber();
onChanged();
return this;
}
/**
*
* Data type of the input.
* In many graphs, the input arrays already have defined data types,
* e.g. Placeholder nodes in a TensorFlow GraphDef have a dtype attribute.
* In those cases, it is not needed to specify this data_type flag.
* The purpose of this flag is only to define the data type of input
* arrays whose type isn't defined in the input graph file. For example,
* when specifying an arbitrary (not Placeholder) --input_array into
* a TensorFlow GraphDef.
* When this data_type is quantized (e.g. QUANTIZED_UINT8), the
* corresponding quantization parameters are the mean_value, std_value
* fields.
* It is also important to understand the nuance between this data_type
* flag and the inference_input_type in TocoFlags. The basic difference
* is that this data_type (like all ModelFlags) describes a property
* of the input graph, while inference_input_type (like all TocoFlags)
* describes an aspect of the toco transformation process and thus of
* the output file. The types of input arrays may be different between
* the input and output files if quantization or dequantization occurred.
* Such differences can only occur for real-number data i.e. only
* between FLOAT and quantized types (e.g. QUANTIZED_UINT8).
*
*
* optional .toco.IODataType data_type = 5;
*/
public Builder clearDataType() {
bitField0_ = (bitField0_ & ~0x00000010);
dataType_ = 0;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:toco.InputArray)
}
// @@protoc_insertion_point(class_scope:toco.InputArray)
private static final toco.ModelFlagsOuterClass.InputArray DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new toco.ModelFlagsOuterClass.InputArray();
}
public static toco.ModelFlagsOuterClass.InputArray getDefaultInstance() {
return DEFAULT_INSTANCE;
}
@java.lang.Deprecated public static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public InputArray parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new InputArray(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public toco.ModelFlagsOuterClass.InputArray getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface RnnStateOrBuilder extends
// @@protoc_insertion_point(interface_extends:toco.RnnState)
com.google.protobuf.MessageOrBuilder {
/**
* optional string state_array = 1;
*/
boolean hasStateArray();
/**
* optional string state_array = 1;
*/
java.lang.String getStateArray();
/**
* optional string state_array = 1;
*/
com.google.protobuf.ByteString
getStateArrayBytes();
/**
* optional string back_edge_source_array = 2;
*/
boolean hasBackEdgeSourceArray();
/**
* optional string back_edge_source_array = 2;
*/
java.lang.String getBackEdgeSourceArray();
/**
* optional string back_edge_source_array = 2;
*/
com.google.protobuf.ByteString
getBackEdgeSourceArrayBytes();
/**
* optional bool discardable = 5;
*/
boolean hasDiscardable();
/**
* optional bool discardable = 5;
*/
boolean getDiscardable();
/**
*
* size allows to specify a 1-D shape for the RNN state array.
* Will be expanded with 1's to fit the model.
* TODO(benoitjacob): should allow a generic, explicit shape.
*
*
* optional int32 size = 3;
*/
boolean hasSize();
/**
*
* size allows to specify a 1-D shape for the RNN state array.
* Will be expanded with 1's to fit the model.
* TODO(benoitjacob): should allow a generic, explicit shape.
*
*
* optional int32 size = 3;
*/
int getSize();
}
/**
* Protobuf type {@code toco.RnnState}
*/
public static final class RnnState extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:toco.RnnState)
RnnStateOrBuilder {
private static final long serialVersionUID = 0L;
// Use RnnState.newBuilder() to construct.
private RnnState(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private RnnState() {
stateArray_ = "";
backEdgeSourceArray_ = "";
discardable_ = false;
size_ = 0;
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private RnnState(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
com.google.protobuf.UnknownFieldSet.Builder unknownFields =
com.google.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10: {
com.google.protobuf.ByteString bs = input.readBytes();
bitField0_ |= 0x00000001;
stateArray_ = bs;
break;
}
case 18: {
com.google.protobuf.ByteString bs = input.readBytes();
bitField0_ |= 0x00000002;
backEdgeSourceArray_ = bs;
break;
}
case 24: {
bitField0_ |= 0x00000008;
size_ = input.readInt32();
break;
}
case 40: {
bitField0_ |= 0x00000004;
discardable_ = input.readBool();
break;
}
default: {
if (!parseUnknownField(
input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
}
}
}
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return toco.ModelFlagsOuterClass.internal_static_toco_RnnState_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return toco.ModelFlagsOuterClass.internal_static_toco_RnnState_fieldAccessorTable
.ensureFieldAccessorsInitialized(
toco.ModelFlagsOuterClass.RnnState.class, toco.ModelFlagsOuterClass.RnnState.Builder.class);
}
private int bitField0_;
public static final int STATE_ARRAY_FIELD_NUMBER = 1;
private volatile java.lang.Object stateArray_;
/**
* optional string state_array = 1;
*/
public boolean hasStateArray() {
return ((bitField0_ & 0x00000001) == 0x00000001);
}
/**
* optional string state_array = 1;
*/
public java.lang.String getStateArray() {
java.lang.Object ref = stateArray_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
if (bs.isValidUtf8()) {
stateArray_ = s;
}
return s;
}
}
/**
* optional string state_array = 1;
*/
public com.google.protobuf.ByteString
getStateArrayBytes() {
java.lang.Object ref = stateArray_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
stateArray_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int BACK_EDGE_SOURCE_ARRAY_FIELD_NUMBER = 2;
private volatile java.lang.Object backEdgeSourceArray_;
/**
* optional string back_edge_source_array = 2;
*/
public boolean hasBackEdgeSourceArray() {
return ((bitField0_ & 0x00000002) == 0x00000002);
}
/**
* optional string back_edge_source_array = 2;
*/
public java.lang.String getBackEdgeSourceArray() {
java.lang.Object ref = backEdgeSourceArray_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
if (bs.isValidUtf8()) {
backEdgeSourceArray_ = s;
}
return s;
}
}
/**
* optional string back_edge_source_array = 2;
*/
public com.google.protobuf.ByteString
getBackEdgeSourceArrayBytes() {
java.lang.Object ref = backEdgeSourceArray_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
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backEdgeSourceArray_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
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}
public static final int DISCARDABLE_FIELD_NUMBER = 5;
private boolean discardable_;
/**
* optional bool discardable = 5;
*/
public boolean hasDiscardable() {
return ((bitField0_ & 0x00000004) == 0x00000004);
}
/**
* optional bool discardable = 5;
*/
public boolean getDiscardable() {
return discardable_;
}
public static final int SIZE_FIELD_NUMBER = 3;
private int size_;
/**
*
* size allows to specify a 1-D shape for the RNN state array.
* Will be expanded with 1's to fit the model.
* TODO(benoitjacob): should allow a generic, explicit shape.
*
*
* optional int32 size = 3;
*/
public boolean hasSize() {
return ((bitField0_ & 0x00000008) == 0x00000008);
}
/**
*
* size allows to specify a 1-D shape for the RNN state array.
* Will be expanded with 1's to fit the model.
* TODO(benoitjacob): should allow a generic, explicit shape.
*
*
* optional int32 size = 3;
*/
public int getSize() {
return size_;
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
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byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (((bitField0_ & 0x00000001) == 0x00000001)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 1, stateArray_);
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if (((bitField0_ & 0x00000002) == 0x00000002)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 2, backEdgeSourceArray_);
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if (((bitField0_ & 0x00000008) == 0x00000008)) {
output.writeInt32(3, size_);
}
if (((bitField0_ & 0x00000004) == 0x00000004)) {
output.writeBool(5, discardable_);
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unknownFields.writeTo(output);
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@java.lang.Override
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int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (((bitField0_ & 0x00000001) == 0x00000001)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, stateArray_);
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/**
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entriesBuilder_.addMessage(builderForValue.build());
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return this;
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public Builder addEntries(
int index, toco.ModelFlagsOuterClass.ArraysExtraInfo.Entry.Builder builderForValue) {
if (entriesBuilder_ == null) {
ensureEntriesIsMutable();
entries_.add(index, builderForValue.build());
onChanged();
} else {
entriesBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public Builder addAllEntries(
java.lang.Iterable values) {
if (entriesBuilder_ == null) {
ensureEntriesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, entries_);
onChanged();
} else {
entriesBuilder_.addAllMessages(values);
}
return this;
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public Builder clearEntries() {
if (entriesBuilder_ == null) {
entries_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
entriesBuilder_.clear();
}
return this;
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public Builder removeEntries(int index) {
if (entriesBuilder_ == null) {
ensureEntriesIsMutable();
entries_.remove(index);
onChanged();
} else {
entriesBuilder_.remove(index);
}
return this;
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public toco.ModelFlagsOuterClass.ArraysExtraInfo.Entry.Builder getEntriesBuilder(
int index) {
return getEntriesFieldBuilder().getBuilder(index);
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public toco.ModelFlagsOuterClass.ArraysExtraInfo.EntryOrBuilder getEntriesOrBuilder(
int index) {
if (entriesBuilder_ == null) {
return entries_.get(index); } else {
return entriesBuilder_.getMessageOrBuilder(index);
}
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public java.util.List
getEntriesOrBuilderList() {
if (entriesBuilder_ != null) {
return entriesBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(entries_);
}
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public toco.ModelFlagsOuterClass.ArraysExtraInfo.Entry.Builder addEntriesBuilder() {
return getEntriesFieldBuilder().addBuilder(
toco.ModelFlagsOuterClass.ArraysExtraInfo.Entry.getDefaultInstance());
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
public toco.ModelFlagsOuterClass.ArraysExtraInfo.Entry.Builder addEntriesBuilder(
int index) {
return getEntriesFieldBuilder().addBuilder(
index, toco.ModelFlagsOuterClass.ArraysExtraInfo.Entry.getDefaultInstance());
}
/**
* repeated .toco.ArraysExtraInfo.Entry entries = 1;
*/
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getEntriesBuilderList() {
return getEntriesFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
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if (entriesBuilder_ == null) {
entriesBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
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entries_,
((bitField0_ & 0x00000001) == 0x00000001),
getParentForChildren(),
isClean());
entries_ = null;
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return entriesBuilder_;
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@java.lang.Override
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return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:toco.ArraysExtraInfo)
}
// @@protoc_insertion_point(class_scope:toco.ArraysExtraInfo)
private static final toco.ModelFlagsOuterClass.ArraysExtraInfo DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new toco.ModelFlagsOuterClass.ArraysExtraInfo();
}
public static toco.ModelFlagsOuterClass.ArraysExtraInfo getDefaultInstance() {
return DEFAULT_INSTANCE;
}
@java.lang.Deprecated public static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ArraysExtraInfo parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new ArraysExtraInfo(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public toco.ModelFlagsOuterClass.ArraysExtraInfo getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface ModelFlagsOrBuilder extends
// @@protoc_insertion_point(interface_extends:toco.ModelFlags)
com.google.protobuf.MessageOrBuilder {
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
java.util.List
getInputArraysList();
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
toco.ModelFlagsOuterClass.InputArray getInputArrays(int index);
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
int getInputArraysCount();
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
java.util.List
getInputArraysOrBuilderList();
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
toco.ModelFlagsOuterClass.InputArrayOrBuilder getInputArraysOrBuilder(
int index);
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
java.util.List
getOutputArraysList();
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
int getOutputArraysCount();
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
java.lang.String getOutputArrays(int index);
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
com.google.protobuf.ByteString
getOutputArraysBytes(int index);
/**
*
* If true, the model accepts an arbitrary batch size. Mutually exclusive with
* the 'batch' field: at most one of these two fields can be set.
*
*
* optional bool variable_batch = 10;
*/
boolean hasVariableBatch();
/**
*
* If true, the model accepts an arbitrary batch size. Mutually exclusive with
* the 'batch' field: at most one of these two fields can be set.
*
*
* optional bool variable_batch = 10;
*/
boolean getVariableBatch();
/**
* repeated .toco.RnnState rnn_states = 12;
*/
java.util.List
getRnnStatesList();
/**
* repeated .toco.RnnState rnn_states = 12;
*/
toco.ModelFlagsOuterClass.RnnState getRnnStates(int index);
/**
* repeated .toco.RnnState rnn_states = 12;
*/
int getRnnStatesCount();
/**
* repeated .toco.RnnState rnn_states = 12;
*/
java.util.List
getRnnStatesOrBuilderList();
/**
* repeated .toco.RnnState rnn_states = 12;
*/
toco.ModelFlagsOuterClass.RnnStateOrBuilder getRnnStatesOrBuilder(
int index);
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
java.util.List
getModelChecksList();
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
toco.ModelFlagsOuterClass.ModelFlags.ModelCheck getModelChecks(int index);
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
int getModelChecksCount();
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
java.util.List
getModelChecksOrBuilderList();
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
toco.ModelFlagsOuterClass.ModelFlags.ModelCheckOrBuilder getModelChecksOrBuilder(
int index);
/**
*
* If true, will allow passing inexistent arrays in --input_arrays
* and --output_arrays. This makes little sense, is only useful to
* more easily get graph visualizations.
*
*
* optional bool allow_nonexistent_arrays = 16;
*/
boolean hasAllowNonexistentArrays();
/**
*
* If true, will allow passing inexistent arrays in --input_arrays
* and --output_arrays. This makes little sense, is only useful to
* more easily get graph visualizations.
*
*
* optional bool allow_nonexistent_arrays = 16;
*/
boolean getAllowNonexistentArrays();
/**
*
* If true, will allow passing non-ascii-printable characters in
* --input_arrays and --output_arrays. By default (if false), only
* ascii printable characters are allowed, i.e. character codes
* ranging from 32 to 127. This is disallowed by default so as to
* catch common copy-and-paste issues where invisible unicode
* characters are unwittingly added to these strings.
*
*
* optional bool allow_nonascii_arrays = 17;
*/
boolean hasAllowNonasciiArrays();
/**
*
* If true, will allow passing non-ascii-printable characters in
* --input_arrays and --output_arrays. By default (if false), only
* ascii printable characters are allowed, i.e. character codes
* ranging from 32 to 127. This is disallowed by default so as to
* catch common copy-and-paste issues where invisible unicode
* characters are unwittingly added to these strings.
*
*
* optional bool allow_nonascii_arrays = 17;
*/
boolean getAllowNonasciiArrays();
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
boolean hasArraysExtraInfo();
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
toco.ModelFlagsOuterClass.ArraysExtraInfo getArraysExtraInfo();
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
toco.ModelFlagsOuterClass.ArraysExtraInfoOrBuilder getArraysExtraInfoOrBuilder();
/**
*
* When set to false, toco will not change the input ranges and the output
* ranges of concat operator to the overlap of all input ranges.
*
*
* optional bool change_concat_input_ranges = 19 [default = true];
*/
boolean hasChangeConcatInputRanges();
/**
*
* When set to false, toco will not change the input ranges and the output
* ranges of concat operator to the overlap of all input ranges.
*
*
* optional bool change_concat_input_ranges = 19 [default = true];
*/
boolean getChangeConcatInputRanges();
}
/**
*
* ModelFlags encodes properties of a model that, depending on the file
* format, may or may not be recorded in the model file. The purpose of
* representing these properties in ModelFlags is to allow passing them
* separately from the input model file, for instance as command-line
* parameters, so that we can offer a single uniform interface that can
* handle files from different input formats.
* For each of these properties, and each supported file format, we
* detail in comments below whether the property exists in the given file
* format.
* Obsolete flags that have been removed:
* optional int32 input_depth = 3;
* optional int32 input_width = 4;
* optional int32 input_height = 5;
* optional int32 batch = 6 [ default = 1];
* optional float mean_value = 7;
* optional float std_value = 8 [default = 1.];
* optional int32 input_dims = 11 [ default = 4];
* repeated int32 input_shape = 13;
* Next ID to USE: 20.
*
*
* Protobuf type {@code toco.ModelFlags}
*/
public static final class ModelFlags extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:toco.ModelFlags)
ModelFlagsOrBuilder {
private static final long serialVersionUID = 0L;
// Use ModelFlags.newBuilder() to construct.
private ModelFlags(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
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outputArrays_ = com.google.protobuf.LazyStringArrayList.EMPTY;
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modelChecks_ = java.util.Collections.emptyList();
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allowNonasciiArrays_ = false;
changeConcatInputRanges_ = true;
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rnnStates_.add(
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mutable_bitField0_ |= 0x00000010;
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modelChecks_.add(
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this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return toco.ModelFlagsOuterClass.internal_static_toco_ModelFlags_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
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public interface ModelCheckOrBuilder extends
// @@protoc_insertion_point(interface_extends:toco.ModelFlags.ModelCheck)
com.google.protobuf.MessageOrBuilder {
/**
*
* Use the name of a type of operator to check its counts.
* Use "Total" for overall operator counts.
* Use "Arrays" for overall array counts.
*
*
* optional string count_type = 1 [default = "None"];
*/
boolean hasCountType();
/**
*
* Use the name of a type of operator to check its counts.
* Use "Total" for overall operator counts.
* Use "Arrays" for overall array counts.
*
*
* optional string count_type = 1 [default = "None"];
*/
java.lang.String getCountType();
/**
*
* Use the name of a type of operator to check its counts.
* Use "Total" for overall operator counts.
* Use "Arrays" for overall array counts.
*
*
* optional string count_type = 1 [default = "None"];
*/
com.google.protobuf.ByteString
getCountTypeBytes();
/**
*
* A count of zero is a meaningful check, so negative used to mean disable.
*
*
* optional int32 count_min = 2 [default = -1];
*/
boolean hasCountMin();
/**
*
* A count of zero is a meaningful check, so negative used to mean disable.
*
*
* optional int32 count_min = 2 [default = -1];
*/
int getCountMin();
/**
*
* If count_max < count_min, then count_min is only allowed value.
*
*
* optional int32 count_max = 3 [default = -1];
*/
boolean hasCountMax();
/**
*
* If count_max < count_min, then count_min is only allowed value.
*
*
* optional int32 count_max = 3 [default = -1];
*/
int getCountMax();
}
/**
*
* Checks applied to the model, typically after toco's comprehensive
* graph transformations.
* Next ID to USE: 4.
*
*
* Protobuf type {@code toco.ModelFlags.ModelCheck}
*/
public static final class ModelCheck extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:toco.ModelFlags.ModelCheck)
ModelCheckOrBuilder {
private static final long serialVersionUID = 0L;
// Use ModelCheck.newBuilder() to construct.
private ModelCheck(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
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this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
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}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return toco.ModelFlagsOuterClass.internal_static_toco_ModelFlags_ModelCheck_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return toco.ModelFlagsOuterClass.internal_static_toco_ModelFlags_ModelCheck_fieldAccessorTable
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*
* Use the name of a type of operator to check its counts.
* Use "Total" for overall operator counts.
* Use "Arrays" for overall array counts.
*
*
* optional string count_type = 1 [default = "None"];
*/
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/**
*
* Use the name of a type of operator to check its counts.
* Use "Total" for overall operator counts.
* Use "Arrays" for overall array counts.
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*
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*
* Use the name of a type of operator to check its counts.
* Use "Total" for overall operator counts.
* Use "Arrays" for overall array counts.
*
*
* optional string count_type = 1 [default = "None"];
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public static final int COUNT_MIN_FIELD_NUMBER = 2;
private int countMin_;
/**
*
* A count of zero is a meaningful check, so negative used to mean disable.
*
*
* optional int32 count_min = 2 [default = -1];
*/
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/**
*
* A count of zero is a meaningful check, so negative used to mean disable.
*
*
* optional int32 count_min = 2 [default = -1];
*/
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public static final int COUNT_MAX_FIELD_NUMBER = 3;
private int countMax_;
/**
*
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*
*
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*
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/**
*
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* Next ID to USE: 4.
*
*
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public static final class Builder extends
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/**
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/**
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/**
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/**
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/**
*
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*
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// @@protoc_insertion_point(builder_scope:toco.ModelFlags.ModelCheck)
}
// @@protoc_insertion_point(class_scope:toco.ModelFlags.ModelCheck)
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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private int bitField0_;
public static final int INPUT_ARRAYS_FIELD_NUMBER = 1;
private java.util.List inputArrays_;
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public java.util.List getInputArraysList() {
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}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
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*/
public java.util.List
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}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public int getInputArraysCount() {
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}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
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}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public toco.ModelFlagsOuterClass.InputArrayOrBuilder getInputArraysOrBuilder(
int index) {
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}
public static final int OUTPUT_ARRAYS_FIELD_NUMBER = 2;
private com.google.protobuf.LazyStringList outputArrays_;
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public com.google.protobuf.ProtocolStringList
getOutputArraysList() {
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}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public int getOutputArraysCount() {
return outputArrays_.size();
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public java.lang.String getOutputArrays(int index) {
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/**
*
* Name of the output arrays, i.e. the arrays into which output activations
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*
*
* repeated string output_arrays = 2;
*/
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}
public static final int VARIABLE_BATCH_FIELD_NUMBER = 10;
private boolean variableBatch_;
/**
*
* If true, the model accepts an arbitrary batch size. Mutually exclusive with
* the 'batch' field: at most one of these two fields can be set.
*
*
* optional bool variable_batch = 10;
*/
public boolean hasVariableBatch() {
return ((bitField0_ & 0x00000001) == 0x00000001);
}
/**
*
* If true, the model accepts an arbitrary batch size. Mutually exclusive with
* the 'batch' field: at most one of these two fields can be set.
*
*
* optional bool variable_batch = 10;
*/
public boolean getVariableBatch() {
return variableBatch_;
}
public static final int RNN_STATES_FIELD_NUMBER = 12;
private java.util.List rnnStates_;
/**
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*/
public java.util.List getRnnStatesList() {
return rnnStates_;
}
/**
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*/
public java.util.List
getRnnStatesOrBuilderList() {
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}
/**
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*/
public int getRnnStatesCount() {
return rnnStates_.size();
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public toco.ModelFlagsOuterClass.RnnState getRnnStates(int index) {
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}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public toco.ModelFlagsOuterClass.RnnStateOrBuilder getRnnStatesOrBuilder(
int index) {
return rnnStates_.get(index);
}
public static final int MODEL_CHECKS_FIELD_NUMBER = 14;
private java.util.List modelChecks_;
/**
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*/
public java.util.List getModelChecksList() {
return modelChecks_;
}
/**
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*/
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getModelChecksOrBuilderList() {
return modelChecks_;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public int getModelChecksCount() {
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}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public toco.ModelFlagsOuterClass.ModelFlags.ModelCheck getModelChecks(int index) {
return modelChecks_.get(index);
}
/**
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*/
public toco.ModelFlagsOuterClass.ModelFlags.ModelCheckOrBuilder getModelChecksOrBuilder(
int index) {
return modelChecks_.get(index);
}
public static final int ALLOW_NONEXISTENT_ARRAYS_FIELD_NUMBER = 16;
private boolean allowNonexistentArrays_;
/**
*
* If true, will allow passing inexistent arrays in --input_arrays
* and --output_arrays. This makes little sense, is only useful to
* more easily get graph visualizations.
*
*
* optional bool allow_nonexistent_arrays = 16;
*/
public boolean hasAllowNonexistentArrays() {
return ((bitField0_ & 0x00000002) == 0x00000002);
}
/**
*
* If true, will allow passing inexistent arrays in --input_arrays
* and --output_arrays. This makes little sense, is only useful to
* more easily get graph visualizations.
*
*
* optional bool allow_nonexistent_arrays = 16;
*/
public boolean getAllowNonexistentArrays() {
return allowNonexistentArrays_;
}
public static final int ALLOW_NONASCII_ARRAYS_FIELD_NUMBER = 17;
private boolean allowNonasciiArrays_;
/**
*
* If true, will allow passing non-ascii-printable characters in
* --input_arrays and --output_arrays. By default (if false), only
* ascii printable characters are allowed, i.e. character codes
* ranging from 32 to 127. This is disallowed by default so as to
* catch common copy-and-paste issues where invisible unicode
* characters are unwittingly added to these strings.
*
*
* optional bool allow_nonascii_arrays = 17;
*/
public boolean hasAllowNonasciiArrays() {
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}
/**
*
* If true, will allow passing non-ascii-printable characters in
* --input_arrays and --output_arrays. By default (if false), only
* ascii printable characters are allowed, i.e. character codes
* ranging from 32 to 127. This is disallowed by default so as to
* catch common copy-and-paste issues where invisible unicode
* characters are unwittingly added to these strings.
*
*
* optional bool allow_nonascii_arrays = 17;
*/
public boolean getAllowNonasciiArrays() {
return allowNonasciiArrays_;
}
public static final int ARRAYS_EXTRA_INFO_FIELD_NUMBER = 18;
private toco.ModelFlagsOuterClass.ArraysExtraInfo arraysExtraInfo_;
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
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/**
*
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* representing these properties in ModelFlags is to allow passing them
* separately from the input model file, for instance as command-line
* parameters, so that we can offer a single uniform interface that can
* handle files from different input formats.
* For each of these properties, and each supported file format, we
* detail in comments below whether the property exists in the given file
* format.
* Obsolete flags that have been removed:
* optional int32 input_depth = 3;
* optional int32 input_width = 4;
* optional int32 input_height = 5;
* optional int32 batch = 6 [ default = 1];
* optional float mean_value = 7;
* optional float std_value = 8 [default = 1.];
* optional int32 input_dims = 11 [ default = 4];
* repeated int32 input_shape = 13;
* Next ID to USE: 20.
*
*
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*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public toco.ModelFlagsOuterClass.InputArray getInputArrays(int index) {
if (inputArraysBuilder_ == null) {
return inputArrays_.get(index);
} else {
return inputArraysBuilder_.getMessage(index);
}
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder setInputArrays(
int index, toco.ModelFlagsOuterClass.InputArray value) {
if (inputArraysBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureInputArraysIsMutable();
inputArrays_.set(index, value);
onChanged();
} else {
inputArraysBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder setInputArrays(
int index, toco.ModelFlagsOuterClass.InputArray.Builder builderForValue) {
if (inputArraysBuilder_ == null) {
ensureInputArraysIsMutable();
inputArrays_.set(index, builderForValue.build());
onChanged();
} else {
inputArraysBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder addInputArrays(toco.ModelFlagsOuterClass.InputArray value) {
if (inputArraysBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureInputArraysIsMutable();
inputArrays_.add(value);
onChanged();
} else {
inputArraysBuilder_.addMessage(value);
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder addInputArrays(
int index, toco.ModelFlagsOuterClass.InputArray value) {
if (inputArraysBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureInputArraysIsMutable();
inputArrays_.add(index, value);
onChanged();
} else {
inputArraysBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder addInputArrays(
toco.ModelFlagsOuterClass.InputArray.Builder builderForValue) {
if (inputArraysBuilder_ == null) {
ensureInputArraysIsMutable();
inputArrays_.add(builderForValue.build());
onChanged();
} else {
inputArraysBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder addInputArrays(
int index, toco.ModelFlagsOuterClass.InputArray.Builder builderForValue) {
if (inputArraysBuilder_ == null) {
ensureInputArraysIsMutable();
inputArrays_.add(index, builderForValue.build());
onChanged();
} else {
inputArraysBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder addAllInputArrays(
java.lang.Iterable values) {
if (inputArraysBuilder_ == null) {
ensureInputArraysIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, inputArrays_);
onChanged();
} else {
inputArraysBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder clearInputArrays() {
if (inputArraysBuilder_ == null) {
inputArrays_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
inputArraysBuilder_.clear();
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public Builder removeInputArrays(int index) {
if (inputArraysBuilder_ == null) {
ensureInputArraysIsMutable();
inputArrays_.remove(index);
onChanged();
} else {
inputArraysBuilder_.remove(index);
}
return this;
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public toco.ModelFlagsOuterClass.InputArray.Builder getInputArraysBuilder(
int index) {
return getInputArraysFieldBuilder().getBuilder(index);
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public toco.ModelFlagsOuterClass.InputArrayOrBuilder getInputArraysOrBuilder(
int index) {
if (inputArraysBuilder_ == null) {
return inputArrays_.get(index); } else {
return inputArraysBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public java.util.List
getInputArraysOrBuilderList() {
if (inputArraysBuilder_ != null) {
return inputArraysBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(inputArrays_);
}
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public toco.ModelFlagsOuterClass.InputArray.Builder addInputArraysBuilder() {
return getInputArraysFieldBuilder().addBuilder(
toco.ModelFlagsOuterClass.InputArray.getDefaultInstance());
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public toco.ModelFlagsOuterClass.InputArray.Builder addInputArraysBuilder(
int index) {
return getInputArraysFieldBuilder().addBuilder(
index, toco.ModelFlagsOuterClass.InputArray.getDefaultInstance());
}
/**
*
* Information about the input arrays, i.e. the arrays from which input
* activations will be read.
*
*
* repeated .toco.InputArray input_arrays = 1;
*/
public java.util.List
getInputArraysBuilderList() {
return getInputArraysFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
toco.ModelFlagsOuterClass.InputArray, toco.ModelFlagsOuterClass.InputArray.Builder, toco.ModelFlagsOuterClass.InputArrayOrBuilder>
getInputArraysFieldBuilder() {
if (inputArraysBuilder_ == null) {
inputArraysBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
toco.ModelFlagsOuterClass.InputArray, toco.ModelFlagsOuterClass.InputArray.Builder, toco.ModelFlagsOuterClass.InputArrayOrBuilder>(
inputArrays_,
((bitField0_ & 0x00000001) == 0x00000001),
getParentForChildren(),
isClean());
inputArrays_ = null;
}
return inputArraysBuilder_;
}
private com.google.protobuf.LazyStringList outputArrays_ = com.google.protobuf.LazyStringArrayList.EMPTY;
private void ensureOutputArraysIsMutable() {
if (!((bitField0_ & 0x00000002) == 0x00000002)) {
outputArrays_ = new com.google.protobuf.LazyStringArrayList(outputArrays_);
bitField0_ |= 0x00000002;
}
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public com.google.protobuf.ProtocolStringList
getOutputArraysList() {
return outputArrays_.getUnmodifiableView();
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public int getOutputArraysCount() {
return outputArrays_.size();
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public java.lang.String getOutputArrays(int index) {
return outputArrays_.get(index);
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public com.google.protobuf.ByteString
getOutputArraysBytes(int index) {
return outputArrays_.getByteString(index);
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public Builder setOutputArrays(
int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureOutputArraysIsMutable();
outputArrays_.set(index, value);
onChanged();
return this;
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public Builder addOutputArrays(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureOutputArraysIsMutable();
outputArrays_.add(value);
onChanged();
return this;
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public Builder addAllOutputArrays(
java.lang.Iterable values) {
ensureOutputArraysIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, outputArrays_);
onChanged();
return this;
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public Builder clearOutputArrays() {
outputArrays_ = com.google.protobuf.LazyStringArrayList.EMPTY;
bitField0_ = (bitField0_ & ~0x00000002);
onChanged();
return this;
}
/**
*
* Name of the output arrays, i.e. the arrays into which output activations
* will be written.
*
*
* repeated string output_arrays = 2;
*/
public Builder addOutputArraysBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
ensureOutputArraysIsMutable();
outputArrays_.add(value);
onChanged();
return this;
}
private boolean variableBatch_ ;
/**
*
* If true, the model accepts an arbitrary batch size. Mutually exclusive with
* the 'batch' field: at most one of these two fields can be set.
*
*
* optional bool variable_batch = 10;
*/
public boolean hasVariableBatch() {
return ((bitField0_ & 0x00000004) == 0x00000004);
}
/**
*
* If true, the model accepts an arbitrary batch size. Mutually exclusive with
* the 'batch' field: at most one of these two fields can be set.
*
*
* optional bool variable_batch = 10;
*/
public boolean getVariableBatch() {
return variableBatch_;
}
/**
*
* If true, the model accepts an arbitrary batch size. Mutually exclusive with
* the 'batch' field: at most one of these two fields can be set.
*
*
* optional bool variable_batch = 10;
*/
public Builder setVariableBatch(boolean value) {
bitField0_ |= 0x00000004;
variableBatch_ = value;
onChanged();
return this;
}
/**
*
* If true, the model accepts an arbitrary batch size. Mutually exclusive with
* the 'batch' field: at most one of these two fields can be set.
*
*
* optional bool variable_batch = 10;
*/
public Builder clearVariableBatch() {
bitField0_ = (bitField0_ & ~0x00000004);
variableBatch_ = false;
onChanged();
return this;
}
private java.util.List rnnStates_ =
java.util.Collections.emptyList();
private void ensureRnnStatesIsMutable() {
if (!((bitField0_ & 0x00000008) == 0x00000008)) {
rnnStates_ = new java.util.ArrayList(rnnStates_);
bitField0_ |= 0x00000008;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
toco.ModelFlagsOuterClass.RnnState, toco.ModelFlagsOuterClass.RnnState.Builder, toco.ModelFlagsOuterClass.RnnStateOrBuilder> rnnStatesBuilder_;
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public java.util.List getRnnStatesList() {
if (rnnStatesBuilder_ == null) {
return java.util.Collections.unmodifiableList(rnnStates_);
} else {
return rnnStatesBuilder_.getMessageList();
}
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public int getRnnStatesCount() {
if (rnnStatesBuilder_ == null) {
return rnnStates_.size();
} else {
return rnnStatesBuilder_.getCount();
}
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public toco.ModelFlagsOuterClass.RnnState getRnnStates(int index) {
if (rnnStatesBuilder_ == null) {
return rnnStates_.get(index);
} else {
return rnnStatesBuilder_.getMessage(index);
}
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder setRnnStates(
int index, toco.ModelFlagsOuterClass.RnnState value) {
if (rnnStatesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureRnnStatesIsMutable();
rnnStates_.set(index, value);
onChanged();
} else {
rnnStatesBuilder_.setMessage(index, value);
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder setRnnStates(
int index, toco.ModelFlagsOuterClass.RnnState.Builder builderForValue) {
if (rnnStatesBuilder_ == null) {
ensureRnnStatesIsMutable();
rnnStates_.set(index, builderForValue.build());
onChanged();
} else {
rnnStatesBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder addRnnStates(toco.ModelFlagsOuterClass.RnnState value) {
if (rnnStatesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureRnnStatesIsMutable();
rnnStates_.add(value);
onChanged();
} else {
rnnStatesBuilder_.addMessage(value);
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder addRnnStates(
int index, toco.ModelFlagsOuterClass.RnnState value) {
if (rnnStatesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureRnnStatesIsMutable();
rnnStates_.add(index, value);
onChanged();
} else {
rnnStatesBuilder_.addMessage(index, value);
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder addRnnStates(
toco.ModelFlagsOuterClass.RnnState.Builder builderForValue) {
if (rnnStatesBuilder_ == null) {
ensureRnnStatesIsMutable();
rnnStates_.add(builderForValue.build());
onChanged();
} else {
rnnStatesBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder addRnnStates(
int index, toco.ModelFlagsOuterClass.RnnState.Builder builderForValue) {
if (rnnStatesBuilder_ == null) {
ensureRnnStatesIsMutable();
rnnStates_.add(index, builderForValue.build());
onChanged();
} else {
rnnStatesBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder addAllRnnStates(
java.lang.Iterable values) {
if (rnnStatesBuilder_ == null) {
ensureRnnStatesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, rnnStates_);
onChanged();
} else {
rnnStatesBuilder_.addAllMessages(values);
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder clearRnnStates() {
if (rnnStatesBuilder_ == null) {
rnnStates_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
} else {
rnnStatesBuilder_.clear();
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public Builder removeRnnStates(int index) {
if (rnnStatesBuilder_ == null) {
ensureRnnStatesIsMutable();
rnnStates_.remove(index);
onChanged();
} else {
rnnStatesBuilder_.remove(index);
}
return this;
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public toco.ModelFlagsOuterClass.RnnState.Builder getRnnStatesBuilder(
int index) {
return getRnnStatesFieldBuilder().getBuilder(index);
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public toco.ModelFlagsOuterClass.RnnStateOrBuilder getRnnStatesOrBuilder(
int index) {
if (rnnStatesBuilder_ == null) {
return rnnStates_.get(index); } else {
return rnnStatesBuilder_.getMessageOrBuilder(index);
}
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public java.util.List
getRnnStatesOrBuilderList() {
if (rnnStatesBuilder_ != null) {
return rnnStatesBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(rnnStates_);
}
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public toco.ModelFlagsOuterClass.RnnState.Builder addRnnStatesBuilder() {
return getRnnStatesFieldBuilder().addBuilder(
toco.ModelFlagsOuterClass.RnnState.getDefaultInstance());
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public toco.ModelFlagsOuterClass.RnnState.Builder addRnnStatesBuilder(
int index) {
return getRnnStatesFieldBuilder().addBuilder(
index, toco.ModelFlagsOuterClass.RnnState.getDefaultInstance());
}
/**
* repeated .toco.RnnState rnn_states = 12;
*/
public java.util.List
getRnnStatesBuilderList() {
return getRnnStatesFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
toco.ModelFlagsOuterClass.RnnState, toco.ModelFlagsOuterClass.RnnState.Builder, toco.ModelFlagsOuterClass.RnnStateOrBuilder>
getRnnStatesFieldBuilder() {
if (rnnStatesBuilder_ == null) {
rnnStatesBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
toco.ModelFlagsOuterClass.RnnState, toco.ModelFlagsOuterClass.RnnState.Builder, toco.ModelFlagsOuterClass.RnnStateOrBuilder>(
rnnStates_,
((bitField0_ & 0x00000008) == 0x00000008),
getParentForChildren(),
isClean());
rnnStates_ = null;
}
return rnnStatesBuilder_;
}
private java.util.List modelChecks_ =
java.util.Collections.emptyList();
private void ensureModelChecksIsMutable() {
if (!((bitField0_ & 0x00000010) == 0x00000010)) {
modelChecks_ = new java.util.ArrayList(modelChecks_);
bitField0_ |= 0x00000010;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
toco.ModelFlagsOuterClass.ModelFlags.ModelCheck, toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder, toco.ModelFlagsOuterClass.ModelFlags.ModelCheckOrBuilder> modelChecksBuilder_;
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public java.util.List getModelChecksList() {
if (modelChecksBuilder_ == null) {
return java.util.Collections.unmodifiableList(modelChecks_);
} else {
return modelChecksBuilder_.getMessageList();
}
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public int getModelChecksCount() {
if (modelChecksBuilder_ == null) {
return modelChecks_.size();
} else {
return modelChecksBuilder_.getCount();
}
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public toco.ModelFlagsOuterClass.ModelFlags.ModelCheck getModelChecks(int index) {
if (modelChecksBuilder_ == null) {
return modelChecks_.get(index);
} else {
return modelChecksBuilder_.getMessage(index);
}
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder setModelChecks(
int index, toco.ModelFlagsOuterClass.ModelFlags.ModelCheck value) {
if (modelChecksBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureModelChecksIsMutable();
modelChecks_.set(index, value);
onChanged();
} else {
modelChecksBuilder_.setMessage(index, value);
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder setModelChecks(
int index, toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder builderForValue) {
if (modelChecksBuilder_ == null) {
ensureModelChecksIsMutable();
modelChecks_.set(index, builderForValue.build());
onChanged();
} else {
modelChecksBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder addModelChecks(toco.ModelFlagsOuterClass.ModelFlags.ModelCheck value) {
if (modelChecksBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureModelChecksIsMutable();
modelChecks_.add(value);
onChanged();
} else {
modelChecksBuilder_.addMessage(value);
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder addModelChecks(
int index, toco.ModelFlagsOuterClass.ModelFlags.ModelCheck value) {
if (modelChecksBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureModelChecksIsMutable();
modelChecks_.add(index, value);
onChanged();
} else {
modelChecksBuilder_.addMessage(index, value);
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder addModelChecks(
toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder builderForValue) {
if (modelChecksBuilder_ == null) {
ensureModelChecksIsMutable();
modelChecks_.add(builderForValue.build());
onChanged();
} else {
modelChecksBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder addModelChecks(
int index, toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder builderForValue) {
if (modelChecksBuilder_ == null) {
ensureModelChecksIsMutable();
modelChecks_.add(index, builderForValue.build());
onChanged();
} else {
modelChecksBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder addAllModelChecks(
java.lang.Iterable values) {
if (modelChecksBuilder_ == null) {
ensureModelChecksIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, modelChecks_);
onChanged();
} else {
modelChecksBuilder_.addAllMessages(values);
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder clearModelChecks() {
if (modelChecksBuilder_ == null) {
modelChecks_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000010);
onChanged();
} else {
modelChecksBuilder_.clear();
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public Builder removeModelChecks(int index) {
if (modelChecksBuilder_ == null) {
ensureModelChecksIsMutable();
modelChecks_.remove(index);
onChanged();
} else {
modelChecksBuilder_.remove(index);
}
return this;
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder getModelChecksBuilder(
int index) {
return getModelChecksFieldBuilder().getBuilder(index);
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public toco.ModelFlagsOuterClass.ModelFlags.ModelCheckOrBuilder getModelChecksOrBuilder(
int index) {
if (modelChecksBuilder_ == null) {
return modelChecks_.get(index); } else {
return modelChecksBuilder_.getMessageOrBuilder(index);
}
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public java.util.List
getModelChecksOrBuilderList() {
if (modelChecksBuilder_ != null) {
return modelChecksBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(modelChecks_);
}
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder addModelChecksBuilder() {
return getModelChecksFieldBuilder().addBuilder(
toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.getDefaultInstance());
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder addModelChecksBuilder(
int index) {
return getModelChecksFieldBuilder().addBuilder(
index, toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.getDefaultInstance());
}
/**
* repeated .toco.ModelFlags.ModelCheck model_checks = 14;
*/
public java.util.List
getModelChecksBuilderList() {
return getModelChecksFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
toco.ModelFlagsOuterClass.ModelFlags.ModelCheck, toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder, toco.ModelFlagsOuterClass.ModelFlags.ModelCheckOrBuilder>
getModelChecksFieldBuilder() {
if (modelChecksBuilder_ == null) {
modelChecksBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
toco.ModelFlagsOuterClass.ModelFlags.ModelCheck, toco.ModelFlagsOuterClass.ModelFlags.ModelCheck.Builder, toco.ModelFlagsOuterClass.ModelFlags.ModelCheckOrBuilder>(
modelChecks_,
((bitField0_ & 0x00000010) == 0x00000010),
getParentForChildren(),
isClean());
modelChecks_ = null;
}
return modelChecksBuilder_;
}
private boolean allowNonexistentArrays_ ;
/**
*
* If true, will allow passing inexistent arrays in --input_arrays
* and --output_arrays. This makes little sense, is only useful to
* more easily get graph visualizations.
*
*
* optional bool allow_nonexistent_arrays = 16;
*/
public boolean hasAllowNonexistentArrays() {
return ((bitField0_ & 0x00000020) == 0x00000020);
}
/**
*
* If true, will allow passing inexistent arrays in --input_arrays
* and --output_arrays. This makes little sense, is only useful to
* more easily get graph visualizations.
*
*
* optional bool allow_nonexistent_arrays = 16;
*/
public boolean getAllowNonexistentArrays() {
return allowNonexistentArrays_;
}
/**
*
* If true, will allow passing inexistent arrays in --input_arrays
* and --output_arrays. This makes little sense, is only useful to
* more easily get graph visualizations.
*
*
* optional bool allow_nonexistent_arrays = 16;
*/
public Builder setAllowNonexistentArrays(boolean value) {
bitField0_ |= 0x00000020;
allowNonexistentArrays_ = value;
onChanged();
return this;
}
/**
*
* If true, will allow passing inexistent arrays in --input_arrays
* and --output_arrays. This makes little sense, is only useful to
* more easily get graph visualizations.
*
*
* optional bool allow_nonexistent_arrays = 16;
*/
public Builder clearAllowNonexistentArrays() {
bitField0_ = (bitField0_ & ~0x00000020);
allowNonexistentArrays_ = false;
onChanged();
return this;
}
private boolean allowNonasciiArrays_ ;
/**
*
* If true, will allow passing non-ascii-printable characters in
* --input_arrays and --output_arrays. By default (if false), only
* ascii printable characters are allowed, i.e. character codes
* ranging from 32 to 127. This is disallowed by default so as to
* catch common copy-and-paste issues where invisible unicode
* characters are unwittingly added to these strings.
*
*
* optional bool allow_nonascii_arrays = 17;
*/
public boolean hasAllowNonasciiArrays() {
return ((bitField0_ & 0x00000040) == 0x00000040);
}
/**
*
* If true, will allow passing non-ascii-printable characters in
* --input_arrays and --output_arrays. By default (if false), only
* ascii printable characters are allowed, i.e. character codes
* ranging from 32 to 127. This is disallowed by default so as to
* catch common copy-and-paste issues where invisible unicode
* characters are unwittingly added to these strings.
*
*
* optional bool allow_nonascii_arrays = 17;
*/
public boolean getAllowNonasciiArrays() {
return allowNonasciiArrays_;
}
/**
*
* If true, will allow passing non-ascii-printable characters in
* --input_arrays and --output_arrays. By default (if false), only
* ascii printable characters are allowed, i.e. character codes
* ranging from 32 to 127. This is disallowed by default so as to
* catch common copy-and-paste issues where invisible unicode
* characters are unwittingly added to these strings.
*
*
* optional bool allow_nonascii_arrays = 17;
*/
public Builder setAllowNonasciiArrays(boolean value) {
bitField0_ |= 0x00000040;
allowNonasciiArrays_ = value;
onChanged();
return this;
}
/**
*
* If true, will allow passing non-ascii-printable characters in
* --input_arrays and --output_arrays. By default (if false), only
* ascii printable characters are allowed, i.e. character codes
* ranging from 32 to 127. This is disallowed by default so as to
* catch common copy-and-paste issues where invisible unicode
* characters are unwittingly added to these strings.
*
*
* optional bool allow_nonascii_arrays = 17;
*/
public Builder clearAllowNonasciiArrays() {
bitField0_ = (bitField0_ & ~0x00000040);
allowNonasciiArrays_ = false;
onChanged();
return this;
}
private toco.ModelFlagsOuterClass.ArraysExtraInfo arraysExtraInfo_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
toco.ModelFlagsOuterClass.ArraysExtraInfo, toco.ModelFlagsOuterClass.ArraysExtraInfo.Builder, toco.ModelFlagsOuterClass.ArraysExtraInfoOrBuilder> arraysExtraInfoBuilder_;
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
public boolean hasArraysExtraInfo() {
return ((bitField0_ & 0x00000080) == 0x00000080);
}
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
public toco.ModelFlagsOuterClass.ArraysExtraInfo getArraysExtraInfo() {
if (arraysExtraInfoBuilder_ == null) {
return arraysExtraInfo_ == null ? toco.ModelFlagsOuterClass.ArraysExtraInfo.getDefaultInstance() : arraysExtraInfo_;
} else {
return arraysExtraInfoBuilder_.getMessage();
}
}
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
public Builder setArraysExtraInfo(toco.ModelFlagsOuterClass.ArraysExtraInfo value) {
if (arraysExtraInfoBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
arraysExtraInfo_ = value;
onChanged();
} else {
arraysExtraInfoBuilder_.setMessage(value);
}
bitField0_ |= 0x00000080;
return this;
}
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
public Builder setArraysExtraInfo(
toco.ModelFlagsOuterClass.ArraysExtraInfo.Builder builderForValue) {
if (arraysExtraInfoBuilder_ == null) {
arraysExtraInfo_ = builderForValue.build();
onChanged();
} else {
arraysExtraInfoBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000080;
return this;
}
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
public Builder mergeArraysExtraInfo(toco.ModelFlagsOuterClass.ArraysExtraInfo value) {
if (arraysExtraInfoBuilder_ == null) {
if (((bitField0_ & 0x00000080) == 0x00000080) &&
arraysExtraInfo_ != null &&
arraysExtraInfo_ != toco.ModelFlagsOuterClass.ArraysExtraInfo.getDefaultInstance()) {
arraysExtraInfo_ =
toco.ModelFlagsOuterClass.ArraysExtraInfo.newBuilder(arraysExtraInfo_).mergeFrom(value).buildPartial();
} else {
arraysExtraInfo_ = value;
}
onChanged();
} else {
arraysExtraInfoBuilder_.mergeFrom(value);
}
bitField0_ |= 0x00000080;
return this;
}
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
public Builder clearArraysExtraInfo() {
if (arraysExtraInfoBuilder_ == null) {
arraysExtraInfo_ = null;
onChanged();
} else {
arraysExtraInfoBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000080);
return this;
}
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
public toco.ModelFlagsOuterClass.ArraysExtraInfo.Builder getArraysExtraInfoBuilder() {
bitField0_ |= 0x00000080;
onChanged();
return getArraysExtraInfoFieldBuilder().getBuilder();
}
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
public toco.ModelFlagsOuterClass.ArraysExtraInfoOrBuilder getArraysExtraInfoOrBuilder() {
if (arraysExtraInfoBuilder_ != null) {
return arraysExtraInfoBuilder_.getMessageOrBuilder();
} else {
return arraysExtraInfo_ == null ?
toco.ModelFlagsOuterClass.ArraysExtraInfo.getDefaultInstance() : arraysExtraInfo_;
}
}
/**
*
* If set, this ArraysExtraInfo allows to pass extra information about arrays
* not specified in the input model file, such as extra MinMax information.
*
*
* optional .toco.ArraysExtraInfo arrays_extra_info = 18;
*/
private com.google.protobuf.SingleFieldBuilderV3<
toco.ModelFlagsOuterClass.ArraysExtraInfo, toco.ModelFlagsOuterClass.ArraysExtraInfo.Builder, toco.ModelFlagsOuterClass.ArraysExtraInfoOrBuilder>
getArraysExtraInfoFieldBuilder() {
if (arraysExtraInfoBuilder_ == null) {
arraysExtraInfoBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
toco.ModelFlagsOuterClass.ArraysExtraInfo, toco.ModelFlagsOuterClass.ArraysExtraInfo.Builder, toco.ModelFlagsOuterClass.ArraysExtraInfoOrBuilder>(
getArraysExtraInfo(),
getParentForChildren(),
isClean());
arraysExtraInfo_ = null;
}
return arraysExtraInfoBuilder_;
}
private boolean changeConcatInputRanges_ = true;
/**
*
* When set to false, toco will not change the input ranges and the output
* ranges of concat operator to the overlap of all input ranges.
*
*
* optional bool change_concat_input_ranges = 19 [default = true];
*/
public boolean hasChangeConcatInputRanges() {
return ((bitField0_ & 0x00000100) == 0x00000100);
}
/**
*
* When set to false, toco will not change the input ranges and the output
* ranges of concat operator to the overlap of all input ranges.
*
*
* optional bool change_concat_input_ranges = 19 [default = true];
*/
public boolean getChangeConcatInputRanges() {
return changeConcatInputRanges_;
}
/**
*
* When set to false, toco will not change the input ranges and the output
* ranges of concat operator to the overlap of all input ranges.
*
*
* optional bool change_concat_input_ranges = 19 [default = true];
*/
public Builder setChangeConcatInputRanges(boolean value) {
bitField0_ |= 0x00000100;
changeConcatInputRanges_ = value;
onChanged();
return this;
}
/**
*
* When set to false, toco will not change the input ranges and the output
* ranges of concat operator to the overlap of all input ranges.
*
*
* optional bool change_concat_input_ranges = 19 [default = true];
*/
public Builder clearChangeConcatInputRanges() {
bitField0_ = (bitField0_ & ~0x00000100);
changeConcatInputRanges_ = true;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:toco.ModelFlags)
}
// @@protoc_insertion_point(class_scope:toco.ModelFlags)
private static final toco.ModelFlagsOuterClass.ModelFlags DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new toco.ModelFlagsOuterClass.ModelFlags();
}
public static toco.ModelFlagsOuterClass.ModelFlags getDefaultInstance() {
return DEFAULT_INSTANCE;
}
@java.lang.Deprecated public static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ModelFlags parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new ModelFlags(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public toco.ModelFlagsOuterClass.ModelFlags getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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// @@protoc_insertion_point(outer_class_scope)
}