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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/tensor_bundle.proto
package org.tensorflow.util;
/**
*
* Describes the metadata related to a checkpointed tensor.
*
*
* Protobuf type {@code tensorflow.BundleEntryProto}
*/
public final class BundleEntryProto extends
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// @@protoc_insertion_point(message_implements:tensorflow.BundleEntryProto)
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/**
*
* The tensor dtype and shape.
*
*
* .tensorflow.DataType dtype = 1;
*/
public int getDtypeValue() {
return dtype_;
}
/**
*
* The tensor dtype and shape.
*
*
* .tensorflow.DataType dtype = 1;
*/
public org.tensorflow.framework.DataType getDtype() {
org.tensorflow.framework.DataType result = org.tensorflow.framework.DataType.valueOf(dtype_);
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public static final int SHAPE_FIELD_NUMBER = 2;
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/**
* .tensorflow.TensorShapeProto shape = 2;
*/
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/**
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*/
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/**
* .tensorflow.TensorShapeProto shape = 2;
*/
public org.tensorflow.framework.TensorShapeProtoOrBuilder getShapeOrBuilder() {
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}
public static final int SHARD_ID_FIELD_NUMBER = 3;
private int shardId_;
/**
*
* The binary content of the tensor lies in:
* File "shard_id": bytes [offset, offset + size).
*
*
* int32 shard_id = 3;
*/
public int getShardId() {
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}
public static final int OFFSET_FIELD_NUMBER = 4;
private long offset_;
/**
* int64 offset = 4;
*/
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public static final int SIZE_FIELD_NUMBER = 5;
private long size_;
/**
* int64 size = 5;
*/
public long getSize() {
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public static final int CRC32C_FIELD_NUMBER = 6;
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/**
*
* The CRC32C checksum of the tensor bytes.
*
*
* fixed32 crc32c = 6;
*/
public int getCrc32C() {
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}
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/**
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
*
* repeated .tensorflow.TensorSliceProto slices = 7;
*/
public int getSlicesCount() {
return slices_.size();
}
/**
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
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*
* Iff present, this entry represents a partitioned tensor. The previous
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* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
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*
*
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*/
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/**
*
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*
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*/
public static final class Builder extends
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// @@protoc_insertion_point(builder_implements:tensorflow.BundleEntryProto)
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/**
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* "shard_id", "offset", "size", "crc32c": all IGNORED.
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*/
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/**
*
* Iff present, this entry represents a partitioned tensor. The previous
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* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
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* BundleEntryProto, keyed by each "slice_name".
*
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/**
*
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* "shard_id", "offset", "size", "crc32c": all IGNORED.
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* BundleEntryProto, keyed by each "slice_name".
*
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* "shard_id", "offset", "size", "crc32c": all IGNORED.
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* BundleEntryProto, keyed by each "slice_name".
*
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onChanged();
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/**
*
* Iff present, this entry represents a partitioned tensor. The previous
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* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
*
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*/
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/**
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
*
* repeated .tensorflow.TensorSliceProto slices = 7;
*/
public org.tensorflow.framework.TensorSliceProto.Builder getSlicesBuilder(
int index) {
return getSlicesFieldBuilder().getBuilder(index);
}
/**
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
*
* repeated .tensorflow.TensorSliceProto slices = 7;
*/
public org.tensorflow.framework.TensorSliceProtoOrBuilder getSlicesOrBuilder(
int index) {
if (slicesBuilder_ == null) {
return slices_.get(index); } else {
return slicesBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
* Iff present, this entry represents a partitioned tensor. The previous
* fields are interpreted as follows:
* "dtype", "shape": describe the full tensor.
* "shard_id", "offset", "size", "crc32c": all IGNORED.
* These information for each slice can be looked up in their own
* BundleEntryProto, keyed by each "slice_name".
*
*
* repeated .tensorflow.TensorSliceProto slices = 7;
*/
public java.util.List
getSlicesBuilderList() {
return getSlicesFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorSliceProto, org.tensorflow.framework.TensorSliceProto.Builder, org.tensorflow.framework.TensorSliceProtoOrBuilder>
getSlicesFieldBuilder() {
if (slicesBuilder_ == null) {
slicesBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.TensorSliceProto, org.tensorflow.framework.TensorSliceProto.Builder, org.tensorflow.framework.TensorSliceProtoOrBuilder>(
slices_,
((bitField0_ & 0x00000040) == 0x00000040),
getParentForChildren(),
isClean());
slices_ = null;
}
return slicesBuilder_;
}
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return this;
}
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return this;
}
// @@protoc_insertion_point(builder_scope:tensorflow.BundleEntryProto)
}
// @@protoc_insertion_point(class_scope:tensorflow.BundleEntryProto)
private static final org.tensorflow.util.BundleEntryProto DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.util.BundleEntryProto();
}
public static org.tensorflow.util.BundleEntryProto getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
public BundleEntryProto parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new BundleEntryProto(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
public org.tensorflow.util.BundleEntryProto getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
