Browse Source

Rename neuralnetwork package

Alexey Edelev 5 years ago
parent
commit
c90e0e5f1e

+ 1 - 1
build.sh

@@ -14,7 +14,7 @@ cd neuralnetwork
 
 go get -v
 go build -o $GOBIN/neuralnetwork
-pushd $GOPATH/neuralnetwork/neuralnetworkbase/
+pushd $GOPATH/neuralnetwork/neuralnetwork/
 go test -v -cover
 popd
 # go test -cover

+ 1 - 1
neuralnetwork/main.go

@@ -1,7 +1,7 @@
 package main
 
 import (
-	neuralnetwork "./neuralnetworkbase"
+	neuralnetwork "./neuralnetwork"
 	remotecontrol "./remotecontrol"
 )
 

+ 1 - 1
neuralnetwork/neuralnetworkbase/backpropgradient.go → neuralnetwork/neuralnetwork/backpropgradient.go

@@ -23,7 +23,7 @@
  * DEALINGS IN THE SOFTWARE.
  */
 
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	mat "gonum.org/v1/gonum/mat"

+ 1 - 1
neuralnetwork/neuralnetworkbase/batchworker.go → neuralnetwork/neuralnetwork/batchworker.go

@@ -23,7 +23,7 @@
  * DEALINGS IN THE SOFTWARE.
  */
 
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	teach "../teach"

+ 1 - 1
neuralnetwork/neuralnetworkbase/interface.go → neuralnetwork/neuralnetwork/interface.go

@@ -23,7 +23,7 @@
  * DEALINGS IN THE SOFTWARE.
  */
 
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	mat "gonum.org/v1/gonum/mat"

+ 1 - 1
neuralnetwork/neuralnetworkbase/iocommon.go → neuralnetwork/neuralnetwork/iocommon.go

@@ -23,7 +23,7 @@
  * DEALINGS IN THE SOFTWARE.
  */
 
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	"encoding/binary"

+ 1 - 1
neuralnetwork/neuralnetworkbase/mathcommon.go → neuralnetwork/neuralnetwork/mathcommon.go

@@ -23,7 +23,7 @@
  * DEALINGS IN THE SOFTWARE.
  */
 
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	"math"

+ 1 - 1
neuralnetwork/neuralnetworkbase/neuralnetwork.go → neuralnetwork/neuralnetwork/neuralnetwork.go

@@ -23,7 +23,7 @@
  * DEALINGS IN THE SOFTWARE.
  */
 
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	"encoding/binary"

+ 1 - 1
neuralnetwork/neuralnetworkbase/neuralnetwork_test.go → neuralnetwork/neuralnetwork/neuralnetwork_test.go

@@ -1,4 +1,4 @@
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	"testing"

+ 1 - 1
neuralnetwork/neuralnetworkbase/plusrpropgradient.go → neuralnetwork/neuralnetwork/plusrpropgradient.go

@@ -23,7 +23,7 @@
  * DEALINGS IN THE SOFTWARE.
  */
 
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	"math"

+ 1 - 1
neuralnetwork/neuralnetworkbase/rpropgradient.go → neuralnetwork/neuralnetwork/rpropgradient.go

@@ -23,7 +23,7 @@
  * DEALINGS IN THE SOFTWARE.
  */
 
-package neuralnetworkbase
+package neuralnetwork
 
 import (
 	"math"

+ 6 - 6
neuralnetwork/remotecontrol/remotecontrol.go

@@ -37,7 +37,7 @@ import (
 	"google.golang.org/grpc/codes"
 	status "google.golang.org/grpc/status"
 
-	neuralnetworkbase "../neuralnetworkbase"
+	neuralnetwork "../neuralnetwork"
 	"gonum.org/v1/gonum/mat"
 	grpc "google.golang.org/grpc"
 
@@ -45,7 +45,7 @@ import (
 )
 
 type RemoteControl struct {
-	nn               *neuralnetworkbase.NeuralNetwork
+	nn               *neuralnetwork.NeuralNetwork
 	activationsQueue chan *LayerMatrix
 	biasesQueue      chan *LayerMatrix
 	weightsQueue     chan *LayerMatrix
@@ -53,7 +53,7 @@ type RemoteControl struct {
 	mutex            sync.Mutex
 }
 
-func (rw *RemoteControl) Init(nn *neuralnetworkbase.NeuralNetwork) {
+func (rw *RemoteControl) Init(nn *neuralnetwork.NeuralNetwork) {
 	rw.nn = nn
 	rw.activationsQueue = make(chan *LayerMatrix, 5)
 	rw.biasesQueue = make(chan *LayerMatrix, 5)
@@ -203,8 +203,8 @@ func (rw *RemoteControl) DummyStart(context.Context, *None) (*None, error) {
 		rw.nn.SaveState(outFile)
 		outFile.Close()
 
-		rw.UpdateState(neuralnetworkbase.StateLearning)
-		defer rw.UpdateState(neuralnetworkbase.StateIdle)
+		rw.UpdateState(neuralnetwork.StateLearning)
+		defer rw.UpdateState(neuralnetwork.StateIdle)
 		failCount := 0
 		teacher.Reset()
 		for teacher.NextValidator() {
@@ -226,7 +226,7 @@ func (rw *RemoteControl) DummyStart(context.Context, *None) (*None, error) {
 		fmt.Printf("Fail count: %v\n\n", failCount)
 		failCount = 0
 		teacher.Reset()
-		rw.UpdateState(neuralnetworkbase.StateIdle)
+		rw.UpdateState(neuralnetwork.StateIdle)
 	}()
 
 	return &None{}, nil