Fix go proto handling
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20f9bb5ba4
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@ -10,6 +10,8 @@ package tensorflow;
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import "google/protobuf/any.proto";
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import "google/protobuf/duration.proto";
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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message CudnnVersion {
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int32 major = 1;
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int32 minor = 2;
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@ -2,6 +2,8 @@ syntax = "proto3";
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package tensorflow;
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// Some of the data from AllocatorStats
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message MemAllocatorStats {
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int64 num_allocs = 1;
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@ -6,6 +6,8 @@ package tensorflow;
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import "tensorflow/stream_executor/dnn.proto";
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// A convolution. Currently it's only used for logging. In the future, we may
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// want to use it in the API as well.
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message ConvolutionProto {
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@ -10,6 +10,8 @@ option java_outer_classname = "DebugEventProtos";
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option java_multiple_files = true;
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option java_package = "org.tensorflow.util";
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// Available modes for extracting debugging information from a Tensor.
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// TODO(cais): Document the detailed column names and semantics in a separate
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// markdown file once the implementation settles.
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@ -22,6 +22,8 @@ option java_outer_classname = "DeviceFiltersProtos";
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option java_multiple_files = true;
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option java_package = "org.tensorflow.distruntime";
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// This file contains protos to be used when defining a TensorFlow
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// cluster.
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//
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@ -11,6 +11,8 @@ import "tensorflow/core/framework/versions.proto";
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import "tensorflow/core/protobuf/remote_tensor_handle.proto";
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import "tensorflow/core/protobuf/tensorflow_server.proto";
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// A proto representation of an eager operation.
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message Operation {
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// A unique identifier for the operation. Set by the client so that the client
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@ -7,6 +7,8 @@ option java_outer_classname = "GraphDebugInfoProtos";
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option java_multiple_files = true;
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option java_package = "org.tensorflow.framework";
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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message GraphDebugInfo {
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// This represents a file/line location in the source code.
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message FileLineCol {
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@ -10,6 +10,8 @@ option java_outer_classname = "RemoteTensorHandleProtos";
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option java_multiple_files = true;
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option java_package = "org.tensorflow.framework";
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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message ResourceDtypeAndShape {
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DataType dtype = 1;
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TensorShapeProto shape = 2;
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@ -6,6 +6,8 @@ import "tensorflow/core/protobuf/master.proto";
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option cc_enable_arenas = true;
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// Records the creation of a new replay session. We record the device listing
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// here to capture the state of the cluster.
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message NewReplaySession {
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@ -11,6 +11,8 @@ option cc_enable_arenas = true;
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package tensorflow;
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// A SavedObjectGraph is part of object-based SavedModels in TF 2.0. It
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// describes the directed graph of Python objects (or equivalent in other
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// languages) that make up a model, with nodes[0] at the root.
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@ -2,6 +2,8 @@ syntax = "proto3";
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package tensorflow;
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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import "tensorflow/core/framework/tensor_shape.proto";
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import "tensorflow/core/framework/types.proto";
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@ -7,6 +7,8 @@ option java_outer_classname = "TraceEventsProtos";
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option java_multiple_files = true;
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option java_package = "org.tensorflow.framework";
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// A 'Trace' contains metadata for the individual traces of a system.
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message Trace {
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// The devices that this trace has information about. Maps from device_id to
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@ -4,6 +4,8 @@ option cc_enable_arenas = true;
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package tensorflow;
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// A TensorBundle addition which saves extra information about the objects which
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// own variables, allowing for more robust checkpoint loading into modified
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// programs.
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@ -2,6 +2,8 @@ syntax = "proto3";
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package tensorflow;
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf";
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// Extra data needed on a non-RDMA RecvBufResponse.
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message RecvBufRespExtra {
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repeated bytes tensor_content = 1;
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@ -51,8 +51,12 @@ fi
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# Ensure that protoc-gen-go is available in $PATH
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# Since ${PROTOC} will require it.
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export PATH=$PATH:${GOPATH}/bin
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mkdir -p ./internal/proto
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${PROTOC} \
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-I ${TF_DIR} \
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--go_out=./internal/proto \
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${TF_DIR}/tensorflow/core/framework/*.proto
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mkdir -p ../vendor
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for FILE in ${TF_DIR}/tensorflow/core/framework/*.proto \
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${TF_DIR}/tensorflow/core/protobuf/*.proto \
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${TF_DIR}/tensorflow/stream_executor/*.proto; do
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${PROTOC} \
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-I ${TF_DIR} \
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--go_out=../vendor \
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$FILE
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done
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@ -22,7 +22,7 @@ import (
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"github.com/golang/protobuf/proto"
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tfpb "github.com/tensorflow/tensorflow/tensorflow/go/genop/internal/proto/github.com/tensorflow/tensorflow/tensorflow/go/core"
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tfpb "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf"
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)
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// #include <stdlib.h>
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@ -16,7 +16,7 @@ limitations under the License.
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package tensorflow
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import tfpb "github.com/tensorflow/tensorflow/tensorflow/go/genop/internal/proto/github.com/tensorflow/tensorflow/tensorflow/go/core"
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import tfpb "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf"
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// #include "tensorflow/c/c_api.h"
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import "C"
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@ -20,9 +20,8 @@ import (
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"fmt"
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"testing"
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tspb "github.com/tensorflow/tensorflow/tensorflow/go/genop/internal/proto/github.com/tensorflow/tensorflow/tensorflow/go/core/framework/tensor_shape_go_proto"
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typb "github.com/tensorflow/tensorflow/tensorflow/go/genop/internal/proto/github.com/tensorflow/tensorflow/tensorflow/go/core/framework/types_go_proto"
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tfpb "github.com/tensorflow/tensorflow/tensorflow/go/genop/internal/proto/github.com/tensorflow/tensorflow/tensorflow/go/core"
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frameworkpb "github.com/tensorflow/tensorflow/tensorflow/go/core/framework"
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tfpb "github.com/tensorflow/tensorflow/tensorflow/go/core/protobuf"
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)
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func TestSignatureFromProto(t *testing.T) {
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@ -32,9 +31,9 @@ func TestSignatureFromProto(t *testing.T) {
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Encoding: &tfpb.TensorInfo_Name{
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Name: "tensor_1",
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},
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Dtype: typb.DataType_DT_INT8,
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TensorShape: &tspb.TensorShapeProto{
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Dim: []*tspb.TensorShapeProto_Dim{
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Dtype: frameworkpb.DataType_DT_INT8,
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TensorShape: &frameworkpb.TensorShapeProto{
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Dim: []*frameworkpb.TensorShapeProto_Dim{
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{Size: 1},
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{Size: 2},
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{Size: 3},
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@ -45,9 +44,9 @@ func TestSignatureFromProto(t *testing.T) {
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Encoding: &tfpb.TensorInfo_Name{
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Name: "tensor_2",
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},
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Dtype: typb.DataType_DT_FLOAT,
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TensorShape: &tspb.TensorShapeProto{
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Dim: []*tspb.TensorShapeProto_Dim{
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Dtype: frameworkpb.DataType_DT_FLOAT,
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TensorShape: &frameworkpb.TensorShapeProto{
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Dim: []*frameworkpb.TensorShapeProto_Dim{
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{Size: 4},
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{Size: 5},
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{Size: 6},
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@ -60,9 +59,9 @@ func TestSignatureFromProto(t *testing.T) {
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Encoding: &tfpb.TensorInfo_Name{
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Name: "tensor_3",
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},
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Dtype: typb.DataType_DT_STRING,
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TensorShape: &tspb.TensorShapeProto{
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Dim: []*tspb.TensorShapeProto_Dim{
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Dtype: frameworkpb.DataType_DT_STRING,
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TensorShape: &frameworkpb.TensorShapeProto{
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Dim: []*frameworkpb.TensorShapeProto_Dim{
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{Size: 1},
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{Size: 2},
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{Size: 3},
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@ -73,9 +72,9 @@ func TestSignatureFromProto(t *testing.T) {
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Encoding: &tfpb.TensorInfo_Name{
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Name: "tensor_4",
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},
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Dtype: typb.DataType_DT_BOOL,
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TensorShape: &tspb.TensorShapeProto{
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Dim: []*tspb.TensorShapeProto_Dim{
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Dtype: frameworkpb.DataType_DT_BOOL,
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TensorShape: &frameworkpb.TensorShapeProto{
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Dim: []*frameworkpb.TensorShapeProto_Dim{
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{Size: 4},
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{Size: 5},
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{Size: 6},
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@ -144,9 +143,9 @@ func TestTensorInfoFromProto(t *testing.T) {
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Encoding: &tfpb.TensorInfo_Name{
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Name: "tensor",
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},
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Dtype: typb.DataType_DT_INT8,
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TensorShape: &tspb.TensorShapeProto{
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Dim: []*tspb.TensorShapeProto_Dim{
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Dtype: frameworkpb.DataType_DT_INT8,
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TensorShape: &frameworkpb.TensorShapeProto{
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Dim: []*frameworkpb.TensorShapeProto_Dim{
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{Size: 1},
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{Size: 2},
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{Size: 3},
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@ -3,6 +3,8 @@ syntax = "proto3";
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package stream_executor.dnn;
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option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/stream_executor";
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// Specifies the data type used by an operation.
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enum DataType {
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kFloat = 0;
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