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---|---|---|---|---|---|---|---|---|---|---|---|
5,400 | dinever/golf | app.go | Run | func (app *Application) Run(addr string) {
err := http.ListenAndServe(addr, app)
if err != nil {
panic(err)
}
} | go | func (app *Application) Run(addr string) {
err := http.ListenAndServe(addr, app)
if err != nil {
panic(err)
}
} | [
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] | // Run the Golf Application. | [
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"Application",
"."
] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/app.go#L113-L118 |
5,401 | dinever/golf | app.go | RunTLS | func (app *Application) RunTLS(addr, certFile, keyFile string) {
err := http.ListenAndServeTLS(addr, certFile, keyFile, app)
if err != nil {
panic(err)
}
} | go | func (app *Application) RunTLS(addr, certFile, keyFile string) {
err := http.ListenAndServeTLS(addr, certFile, keyFile, app)
if err != nil {
panic(err)
}
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/app.go#L121-L126 |
5,402 | dinever/golf | app.go | Static | func (app *Application) Static(url string, path string) {
url = strings.TrimRight(url, "/")
app.staticRouter[url] = append(app.staticRouter[url], path)
} | go | func (app *Application) Static(url string, path string) {
url = strings.TrimRight(url, "/")
app.staticRouter[url] = append(app.staticRouter[url], path)
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/app.go#L129-L132 |
5,403 | dinever/golf | app.go | Get | func (app *Application) Get(pattern string, handler HandlerFunc) {
app.router.AddRoute("GET", pattern, handler)
} | go | func (app *Application) Get(pattern string, handler HandlerFunc) {
app.router.AddRoute("GET", pattern, handler)
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/app.go#L135-L137 |
5,404 | dinever/golf | app.go | Error | func (app *Application) Error(statusCode int, handler ErrorHandlerFunc) {
app.errorHandler[statusCode] = handler
} | go | func (app *Application) Error(statusCode int, handler ErrorHandlerFunc) {
app.errorHandler[statusCode] = handler
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5,405 | dinever/golf | app.go | handleError | func (app *Application) handleError(ctx *Context, statusCode int, data ...map[string]interface{}) {
ctx.SendStatus(statusCode)
handler, ok := app.errorHandler[statusCode]
if !ok {
defaultErrorHandler(ctx, data...)
return
}
handler(ctx)
} | go | func (app *Application) handleError(ctx *Context, statusCode int, data ...map[string]interface{}) {
ctx.SendStatus(statusCode)
handler, ok := app.errorHandler[statusCode]
if !ok {
defaultErrorHandler(ctx, data...)
return
}
handler(ctx)
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// `errorHandler`, then call it. Otherwise call the `defaultErrorHandler`. | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/app.go#L176-L184 |
5,406 | dinever/golf | middleware.go | NewChain | func NewChain(handlerArray ...MiddlewareHandlerFunc) *Chain {
c := new(Chain)
c.middlewareHandlers = handlerArray
return c
} | go | func NewChain(handlerArray ...MiddlewareHandlerFunc) *Chain {
c := new(Chain)
c.middlewareHandlers = handlerArray
return c
} | [
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] | // NewChain Creates a new middleware chain. | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/middleware.go#L20-L24 |
5,407 | dinever/golf | middleware.go | Final | func (c Chain) Final(fn HandlerFunc) HandlerFunc {
for i := len(c.middlewareHandlers) - 1; i >= 0; i-- {
fn = c.middlewareHandlers[i](fn)
}
return fn
} | go | func (c Chain) Final(fn HandlerFunc) HandlerFunc {
for i := len(c.middlewareHandlers) - 1; i >= 0; i-- {
fn = c.middlewareHandlers[i](fn)
}
return fn
} | [
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5,408 | dinever/golf | middleware.go | Append | func (c *Chain) Append(fn MiddlewareHandlerFunc) {
c.middlewareHandlers = append(c.middlewareHandlers, fn)
} | go | func (c *Chain) Append(fn MiddlewareHandlerFunc) {
c.middlewareHandlers = append(c.middlewareHandlers, fn)
} | [
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] | // Append a middleware to the middleware chain | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/middleware.go#L36-L38 |
5,409 | dinever/golf | middleware.go | XSRFProtectionMiddleware | func XSRFProtectionMiddleware(next HandlerFunc) HandlerFunc {
fn := func(ctx *Context) {
if ctx.Request.Method == "POST" || ctx.Request.Method == "PUT" || ctx.Request.Method == "DELETE" {
if !ctx.checkXSRFToken() {
ctx.Abort(403)
return
}
}
next(ctx)
}
return fn
} | go | func XSRFProtectionMiddleware(next HandlerFunc) HandlerFunc {
fn := func(ctx *Context) {
if ctx.Request.Method == "POST" || ctx.Request.Method == "PUT" || ctx.Request.Method == "DELETE" {
if !ctx.checkXSRFToken() {
ctx.Abort(403)
return
}
}
next(ctx)
}
return fn
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/middleware.go#L118-L129 |
5,410 | dinever/golf | middleware.go | RecoverMiddleware | func RecoverMiddleware(next HandlerFunc) HandlerFunc {
fn := func(ctx *Context) {
defer func() {
if err := recover(); err != nil {
e := NewError(err)
httpRequest, _ := httputil.DumpRequest(ctx.Request, true)
log.Printf("[Recovery] panic recovered:\n%s\n%s\n%s", string(httpRequest), err, e.StackTraceString())
ctx.statusCode = 500
ctx.Abort(500, map[string]interface{}{
"Code": ctx.statusCode,
"Title": "Internal Server Error",
"HTTPRequest": string(httpRequest),
"Message": e.Error(),
"StackTrace": e.Stack,
})
}
}()
next(ctx)
}
return fn
} | go | func RecoverMiddleware(next HandlerFunc) HandlerFunc {
fn := func(ctx *Context) {
defer func() {
if err := recover(); err != nil {
e := NewError(err)
httpRequest, _ := httputil.DumpRequest(ctx.Request, true)
log.Printf("[Recovery] panic recovered:\n%s\n%s\n%s", string(httpRequest), err, e.StackTraceString())
ctx.statusCode = 500
ctx.Abort(500, map[string]interface{}{
"Code": ctx.statusCode,
"Title": "Internal Server Error",
"HTTPRequest": string(httpRequest),
"Message": e.Error(),
"StackTrace": e.Stack,
})
}
}()
next(ctx)
}
return fn
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/middleware.go#L132-L152 |
5,411 | dinever/golf | middleware.go | SessionMiddleware | func SessionMiddleware(next HandlerFunc) HandlerFunc {
fn := func(ctx *Context) {
if ctx.App.SessionManager != nil {
ctx.retrieveSession()
}
next(ctx)
}
return fn
} | go | func SessionMiddleware(next HandlerFunc) HandlerFunc {
fn := func(ctx *Context) {
if ctx.App.SessionManager != nil {
ctx.retrieveSession()
}
next(ctx)
}
return fn
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/middleware.go#L155-L163 |
5,412 | dinever/golf | router.go | ByName | func (p *Parameter) ByName(name string) (string, error) {
if i, has := p.names[name]; has {
return p.findParam(i)
}
return "", fmt.Errorf("Parameter not found")
} | go | func (p *Parameter) ByName(name string) (string, error) {
if i, has := p.names[name]; has {
return p.findParam(i)
}
return "", fmt.Errorf("Parameter not found")
} | [
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5,413 | dinever/golf | router.go | findParam | func (p *Parameter) findParam(idx int) (string, error) {
index := len(p.names) - 1
urlPath := p.path
pathLen := len(p.path)
node := p.node
for node != nil {
if node.text[0] == ':' {
ctn := lastIndexByte(urlPath, '/')
if ctn == -1 {
return "", fmt.Errorf("Parameter not found")
}
pathLen = ctn + 1
if index == idx {
return urlPath[pathLen:], nil
}
index--
} else {
pathLen -= len(node.text)
}
urlPath = urlPath[0:pathLen]
node = node.parent
}
return "", fmt.Errorf("Parameter not found")
} | go | func (p *Parameter) findParam(idx int) (string, error) {
index := len(p.names) - 1
urlPath := p.path
pathLen := len(p.path)
node := p.node
for node != nil {
if node.text[0] == ':' {
ctn := lastIndexByte(urlPath, '/')
if ctn == -1 {
return "", fmt.Errorf("Parameter not found")
}
pathLen = ctn + 1
if index == idx {
return urlPath[pathLen:], nil
}
index--
} else {
pathLen -= len(node.text)
}
urlPath = urlPath[0:pathLen]
node = node.parent
}
return "", fmt.Errorf("Parameter not found")
} | [
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] | //findParam walks up the matched node looking for parameters returns the last parameter | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/router.go#L133-L157 |
5,414 | dinever/golf | error.go | defaultErrorHandler | func defaultErrorHandler(ctx *Context, data ...map[string]interface{}) {
var renderData map[string]interface{}
if len(data) == 0 {
renderData = make(map[string]interface{})
renderData["Code"] = ctx.statusCode
renderData["Title"] = http.StatusText(ctx.statusCode)
renderData["Message"] = http.StatusText(ctx.statusCode)
} else {
renderData = data[0]
}
if _, ok := renderData["Code"]; !ok {
renderData["Code"] = ctx.statusCode
}
if _, ok := renderData["Title"]; !ok {
renderData["Title"] = http.StatusText(ctx.statusCode)
}
if _, ok := renderData["Message"]; !ok {
renderData["Message"] = http.StatusText(ctx.statusCode)
}
httpRequest, _ := httputil.DumpRequest(ctx.Request, true)
renderData["HTTPRequest"] = string(httpRequest)
var buf bytes.Buffer
tmpl.Parse(errorTemplate)
tmpl.Execute(&buf, renderData)
ctx.Send(&buf)
} | go | func defaultErrorHandler(ctx *Context, data ...map[string]interface{}) {
var renderData map[string]interface{}
if len(data) == 0 {
renderData = make(map[string]interface{})
renderData["Code"] = ctx.statusCode
renderData["Title"] = http.StatusText(ctx.statusCode)
renderData["Message"] = http.StatusText(ctx.statusCode)
} else {
renderData = data[0]
}
if _, ok := renderData["Code"]; !ok {
renderData["Code"] = ctx.statusCode
}
if _, ok := renderData["Title"]; !ok {
renderData["Title"] = http.StatusText(ctx.statusCode)
}
if _, ok := renderData["Message"]; !ok {
renderData["Message"] = http.StatusText(ctx.statusCode)
}
httpRequest, _ := httputil.DumpRequest(ctx.Request, true)
renderData["HTTPRequest"] = string(httpRequest)
var buf bytes.Buffer
tmpl.Parse(errorTemplate)
tmpl.Execute(&buf, renderData)
ctx.Send(&buf)
} | [
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] | // The default error handler | [
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"default",
"error",
"handler"
] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/error.go#L104-L129 |
5,415 | dinever/golf | error.go | StackTraceString | func (e Error) StackTraceString() string {
buf := new(bytes.Buffer)
for _, v := range e.Stack {
fmt.Fprintf(buf, "%s: %s\n\t%s\n", v.File, v.Number, v.Method)
}
return string(buf.Bytes())
} | go | func (e Error) StackTraceString() string {
buf := new(bytes.Buffer)
for _, v := range e.Stack {
fmt.Fprintf(buf, "%s: %s\n\t%s\n", v.File, v.Number, v.Method)
}
return string(buf.Bytes())
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/error.go#L152-L158 |
5,416 | dinever/golf | error.go | NewError | func NewError(msg interface{}) Error {
var err error
switch t := msg.(type) {
case Error:
return t
case error:
err = t
default:
err = fmt.Errorf("%v", t)
}
return Error{
err: err,
Message: err.Error(),
Class: reflect.TypeOf(err).String(),
Stack: generateStack(3),
}
} | go | func NewError(msg interface{}) Error {
var err error
switch t := msg.(type) {
case Error:
return t
case error:
err = t
default:
err = fmt.Errorf("%v", t)
}
return Error{
err: err,
Message: err.Error(),
Class: reflect.TypeOf(err).String(),
Stack: generateStack(3),
}
} | [
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] | // NewError creates a new error instance | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/error.go#L166-L184 |
5,417 | dinever/golf | session.go | NewMemorySessionManager | func NewMemorySessionManager() *MemorySessionManager {
mgr := new(MemorySessionManager)
mgr.sessions = make(map[string]*MemorySession)
mgr.GarbageCollection()
return mgr
} | go | func NewMemorySessionManager() *MemorySessionManager {
mgr := new(MemorySessionManager)
mgr.sessions = make(map[string]*MemorySession)
mgr.GarbageCollection()
return mgr
} | [
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] | // NewMemorySessionManager creates a new session manager. | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/session.go#L31-L36 |
5,418 | dinever/golf | session.go | Session | func (mgr *MemorySessionManager) Session(sid string) (Session, error) {
mgr.lock.RLock()
if s, ok := mgr.sessions[sid]; ok {
s.createdAt = time.Now()
mgr.lock.RUnlock()
return s, nil
}
mgr.lock.RUnlock()
return nil, fmt.Errorf("Can not retrieve session with id %s", sid)
} | go | func (mgr *MemorySessionManager) Session(sid string) (Session, error) {
mgr.lock.RLock()
if s, ok := mgr.sessions[sid]; ok {
s.createdAt = time.Now()
mgr.lock.RUnlock()
return s, nil
}
mgr.lock.RUnlock()
return nil, fmt.Errorf("Can not retrieve session with id %s", sid)
} | [
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] | // Session gets the session instance by indicating a session id. | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/session.go#L48-L57 |
5,419 | dinever/golf | session.go | NewSession | func (mgr *MemorySessionManager) NewSession() (Session, error) {
sid, err := mgr.sessionID()
if err != nil {
return nil, err
}
s := MemorySession{sid: sid, data: make(map[string]interface{}), createdAt: time.Now()}
mgr.lock.Lock()
mgr.sessions[sid] = &s
mgr.lock.Unlock()
return &s, nil
} | go | func (mgr *MemorySessionManager) NewSession() (Session, error) {
sid, err := mgr.sessionID()
if err != nil {
return nil, err
}
s := MemorySession{sid: sid, data: make(map[string]interface{}), createdAt: time.Now()}
mgr.lock.Lock()
mgr.sessions[sid] = &s
mgr.lock.Unlock()
return &s, nil
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/session.go#L60-L70 |
5,420 | dinever/golf | session.go | GarbageCollection | func (mgr *MemorySessionManager) GarbageCollection() {
for k, v := range mgr.sessions {
if v.isExpired() {
delete(mgr.sessions, k)
}
}
time.AfterFunc(time.Duration(gcTimeInterval)*time.Second, mgr.GarbageCollection)
} | go | func (mgr *MemorySessionManager) GarbageCollection() {
for k, v := range mgr.sessions {
if v.isExpired() {
delete(mgr.sessions, k)
}
}
time.AfterFunc(time.Duration(gcTimeInterval)*time.Second, mgr.GarbageCollection)
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/session.go#L73-L80 |
5,421 | dinever/golf | session.go | Set | func (s *MemorySession) Set(key string, value interface{}) error {
s.data[key] = value
return nil
} | go | func (s *MemorySession) Set(key string, value interface{}) error {
s.data[key] = value
return nil
} | [
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] | // Set method sets the key value pair in the session. | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/session.go#L109-L112 |
5,422 | dinever/golf | session.go | Get | func (s *MemorySession) Get(key string) (interface{}, error) {
if value, ok := s.data[key]; ok {
return value, nil
}
return nil, fmt.Errorf("key %q in session (id %s) not found", key, s.sid)
} | go | func (s *MemorySession) Get(key string) (interface{}, error) {
if value, ok := s.data[key]; ok {
return value, nil
}
return nil, fmt.Errorf("key %q in session (id %s) not found", key, s.sid)
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/session.go#L115-L120 |
5,423 | dinever/golf | session.go | Delete | func (s *MemorySession) Delete(key string) error {
delete(s.data, key)
return nil
} | go | func (s *MemorySession) Delete(key string) error {
delete(s.data, key)
return nil
} | [
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5,424 | dinever/golf | template.go | LoadTemplate | func (loader *FileSystemLoader) LoadTemplate(name string) (string, error) {
f, err := os.Open(path.Join(loader.BaseDir, name))
if err != nil {
return "", err
}
b, err := ioutil.ReadAll(f)
return string(b), err
} | go | func (loader *FileSystemLoader) LoadTemplate(name string) (string, error) {
f, err := os.Open(path.Join(loader.BaseDir, name))
if err != nil {
return "", err
}
b, err := ioutil.ReadAll(f)
return string(b), err
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/template.go#L31-L38 |
5,425 | dinever/golf | template.go | LoadTemplate | func (loader *MapLoader) LoadTemplate(name string) (string, error) {
if src, ok := (*loader)[name]; ok {
return src, nil
}
return "", Errorf("Could not find template " + name)
} | go | func (loader *MapLoader) LoadTemplate(name string) (string, error) {
if src, ok := (*loader)[name]; ok {
return src, nil
}
return "", Errorf("Could not find template " + name)
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/template.go#L45-L50 |
5,426 | dinever/golf | template.go | Render | func (t *TemplateManager) Render(w io.Writer, name string, data interface{}) error {
stack := []*Template{}
tplSrc, err := t.getSrc(name)
if err != nil {
return err
}
err = t.push(&stack, tplSrc, name)
if err != nil {
return err
}
tpl, err := t.assemble(stack)
if err != nil {
return err
}
if err != nil {
return err
}
if tpl == nil {
return Errorf("Nil template named %s", name)
}
err = tpl.Execute(w, data)
if err != nil {
return err
}
return nil
} | go | func (t *TemplateManager) Render(w io.Writer, name string, data interface{}) error {
stack := []*Template{}
tplSrc, err := t.getSrc(name)
if err != nil {
return err
}
err = t.push(&stack, tplSrc, name)
if err != nil {
return err
}
tpl, err := t.assemble(stack)
if err != nil {
return err
}
if err != nil {
return err
}
if tpl == nil {
return Errorf("Nil template named %s", name)
}
err = tpl.Execute(w, data)
if err != nil {
return err
}
return nil
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/template.go#L65-L93 |
5,427 | dinever/golf | template.go | RenderFromString | func (t *TemplateManager) RenderFromString(w io.Writer, tplSrc string, data interface{}) error {
stack := []*Template{}
t.push(&stack, tplSrc, "_fromString")
tpl, err := t.assemble(stack)
if err != nil {
return err
}
err = tpl.Execute(w, data)
if err != nil {
return err
}
return nil
} | go | func (t *TemplateManager) RenderFromString(w io.Writer, tplSrc string, data interface{}) error {
stack := []*Template{}
t.push(&stack, tplSrc, "_fromString")
tpl, err := t.assemble(stack)
if err != nil {
return err
}
err = tpl.Execute(w, data)
if err != nil {
return err
}
return nil
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/template.go#L96-L110 |
5,428 | dinever/golf | view.go | NewView | func NewView() *View {
view := new(View)
view.templateLoader = make(map[string]*TemplateManager)
view.FuncMap = make(template.FuncMap)
view.FuncMap["Html"] = func(s string) template.HTML { return template.HTML(s) }
return view
} | go | func NewView() *View {
view := new(View)
view.templateLoader = make(map[string]*TemplateManager)
view.FuncMap = make(template.FuncMap)
view.FuncMap["Html"] = func(s string) template.HTML { return template.HTML(s) }
return view
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/view.go#L19-L25 |
5,429 | dinever/golf | view.go | Render | func (view *View) Render(loaderName string, filePath string, data map[string]interface{}) (string, error) {
loader, ok := view.templateLoader[loaderName]
if !ok {
panic(errors.New("Template loader not found: " + loaderName))
}
var buf bytes.Buffer
err := loader.Render(&buf, filePath, data)
if err != nil {
return "", err
}
return buf.String(), nil
} | go | func (view *View) Render(loaderName string, filePath string, data map[string]interface{}) (string, error) {
loader, ok := view.templateLoader[loaderName]
if !ok {
panic(errors.New("Template loader not found: " + loaderName))
}
var buf bytes.Buffer
err := loader.Render(&buf, filePath, data)
if err != nil {
return "", err
}
return buf.String(), nil
} | [
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] | 11abebbbb289ef6f35e518db394eaca39cee8732 | https://github.com/dinever/golf/blob/11abebbbb289ef6f35e518db394eaca39cee8732/view.go#L28-L39 |
5,430 | dinever/golf | view.go | RenderFromString | func (view *View) RenderFromString(loaderName string, tplSrc string, data map[string]interface{}) (string, error) {
var buf bytes.Buffer
// If loaderName is not indicated, use the default template library of Go, no syntax like
// `extends` or `include` will be supported.
if loaderName == "" {
tmpl := template.New("error")
tmpl.Parse(tplSrc)
e := tmpl.Execute(&buf, data)
return buf.String(), e
}
loader, ok := view.templateLoader[loaderName]
if !ok {
panic(Errorf("Template loader not fount: %s", loaderName))
}
e := loader.Render(&buf, tplSrc, data)
if e != nil {
return "", e
}
return buf.String(), nil
} | go | func (view *View) RenderFromString(loaderName string, tplSrc string, data map[string]interface{}) (string, error) {
var buf bytes.Buffer
// If loaderName is not indicated, use the default template library of Go, no syntax like
// `extends` or `include` will be supported.
if loaderName == "" {
tmpl := template.New("error")
tmpl.Parse(tplSrc)
e := tmpl.Execute(&buf, data)
return buf.String(), e
}
loader, ok := view.templateLoader[loaderName]
if !ok {
panic(Errorf("Template loader not fount: %s", loaderName))
}
e := loader.Render(&buf, tplSrc, data)
if e != nil {
return "", e
}
return buf.String(), nil
} | [
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5,431 | dinever/golf | view.go | SetTemplateLoader | func (view *View) SetTemplateLoader(name string, path string) {
loader := &TemplateManager{
Loader: &FileSystemLoader{
BaseDir: path,
},
FuncMap: view.FuncMap,
}
view.templateLoader[name] = loader
} | go | func (view *View) SetTemplateLoader(name string, path string) {
loader := &TemplateManager{
Loader: &FileSystemLoader{
BaseDir: path,
},
FuncMap: view.FuncMap,
}
view.templateLoader[name] = loader
} | [
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5,432 | gorgonia/cu | cmd/genlib/signature.go | flagType | func flagType(name string) string {
switch name {
case "cuCtxCreate", "cuDevicePrimaryCtxSetFlags":
return "ContextFlags"
case "cuLinkCreate":
panic("Unhandled")
case "cuStreamCreate", "cuStreamCreateWithPriority":
return "StreamFlags"
case "cuEventCreate":
return "EventFlags"
case "cuTexRefSetFlags":
return "TexRefFlags"
default:
log.Printf("Unreachable flagtype %v", name)
}
panic("Unreachable")
} | go | func flagType(name string) string {
switch name {
case "cuCtxCreate", "cuDevicePrimaryCtxSetFlags":
return "ContextFlags"
case "cuLinkCreate":
panic("Unhandled")
case "cuStreamCreate", "cuStreamCreateWithPriority":
return "StreamFlags"
case "cuEventCreate":
return "EventFlags"
case "cuTexRefSetFlags":
return "TexRefFlags"
default:
log.Printf("Unreachable flagtype %v", name)
}
panic("Unreachable")
} | [
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5,433 | gorgonia/cu | stream.go | MakeStream | func MakeStream(flags StreamFlags) (Stream, error) {
var s Stream
err := result(C.cuStreamCreate(&s.s, C.uint(flags)))
return s, err
} | go | func MakeStream(flags StreamFlags) (Stream, error) {
var s Stream
err := result(C.cuStreamCreate(&s.s, C.uint(flags)))
return s, err
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/stream.go#L23-L27 |
5,434 | gorgonia/cu | stream.go | MakeStreamWithPriority | func MakeStreamWithPriority(priority int, flags StreamFlags) (Stream, error) {
var s Stream
err := result(C.cuStreamCreateWithPriority(&s.s, C.uint(flags), C.int(priority)))
return s, err
} | go | func MakeStreamWithPriority(priority int, flags StreamFlags) (Stream, error) {
var s Stream
err := result(C.cuStreamCreateWithPriority(&s.s, C.uint(flags), C.int(priority)))
return s, err
} | [
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// This API alters the scheduler priority of work in the stream. Work in a higher priority stream may preempt work already executing in a low priority stream.
//
// `priority` follows a convention where lower numbers represent higher priorities. '0' represents default priority.
//
// The range of meaningful numerical priorities can be queried using `StreamPriorityRange`.
// If the specified priority is outside the numerical range returned by `StreamPriorityRange`,
// it will automatically be clamped to the lowest or the highest number in the range. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/stream.go#L37-L41 |
5,435 | gorgonia/cu | cmd/gencudnn/generatethis.go | generateCRUD | func generateCRUD(buf io.Writer, t *cc.TranslationUnit, fnType string) {
decls, err := bindgen.Get(t, functions)
handleErr(err)
var a = make(map[string][]string)
switch fnType {
case "create":
fmt.Fprintf(buf, "creations = ")
case "get":
fmt.Fprintf(buf, "getFns = ")
case "set":
fmt.Fprintf(buf, "setFns = ")
case "destroy":
fmt.Fprintf(buf, "destructions = ")
case "methods":
fmt.Fprintf(buf, "methods = ")
}
var b map[string]struct{}
for _, d := range decls {
cs := d.(*bindgen.CSignature)
params := cs.Parameters()
if fnType != "methods" && !strings.Contains(strings.ToLower(cs.Name), fnType) {
continue
}
if fnType == "methods" && len(params) == 0 {
continue
}
switch fnType {
case "create":
for i := len(params) - 1; i >= 0; i-- {
p := params[i]
if !bindgen.IsConstType(p.Type()) && bindgen.IsPointer(p.Type()) {
typ := nameOfType(p.Type())
a[typ] = append(a[typ], cs.Name)
}
}
case "set", "destroy":
p := params[0]
typ := nameOfType(p.Type())
if typ == "cudnnHandle_t" && len(params) > 1 {
p = params[1]
typ = nameOfType(p.Type())
}
a[typ] = append(a[typ], cs.Name)
case "methods":
// if strings.Contains(strings.ToLower(cs.Name), "get") {
// continue
// }
if _, ok := ignored[cs.Name]; ok {
continue
}
if alreadyGenIn(cs.Name, creations, setFns, destructions) {
continue
}
p := params[0]
typ := nameOfType(p.Type())
a[typ] = append(a[typ], cs.Name)
}
}
fmt.Fprintf(buf, "%# v\n\n", pretty.Formatter(a))
// set the actual thing if not set
// lisp users just shake their head in disappointment
switch fnType {
case "create":
creations = a
case "set":
setFns = a
case "destroy":
destructions = a
case "methods":
methods = a
if b != nil {
fmt.Fprintf(buf, "orphaned = %# v\n\n", pretty.Formatter(b))
orphaned = b
}
}
} | go | func generateCRUD(buf io.Writer, t *cc.TranslationUnit, fnType string) {
decls, err := bindgen.Get(t, functions)
handleErr(err)
var a = make(map[string][]string)
switch fnType {
case "create":
fmt.Fprintf(buf, "creations = ")
case "get":
fmt.Fprintf(buf, "getFns = ")
case "set":
fmt.Fprintf(buf, "setFns = ")
case "destroy":
fmt.Fprintf(buf, "destructions = ")
case "methods":
fmt.Fprintf(buf, "methods = ")
}
var b map[string]struct{}
for _, d := range decls {
cs := d.(*bindgen.CSignature)
params := cs.Parameters()
if fnType != "methods" && !strings.Contains(strings.ToLower(cs.Name), fnType) {
continue
}
if fnType == "methods" && len(params) == 0 {
continue
}
switch fnType {
case "create":
for i := len(params) - 1; i >= 0; i-- {
p := params[i]
if !bindgen.IsConstType(p.Type()) && bindgen.IsPointer(p.Type()) {
typ := nameOfType(p.Type())
a[typ] = append(a[typ], cs.Name)
}
}
case "set", "destroy":
p := params[0]
typ := nameOfType(p.Type())
if typ == "cudnnHandle_t" && len(params) > 1 {
p = params[1]
typ = nameOfType(p.Type())
}
a[typ] = append(a[typ], cs.Name)
case "methods":
// if strings.Contains(strings.ToLower(cs.Name), "get") {
// continue
// }
if _, ok := ignored[cs.Name]; ok {
continue
}
if alreadyGenIn(cs.Name, creations, setFns, destructions) {
continue
}
p := params[0]
typ := nameOfType(p.Type())
a[typ] = append(a[typ], cs.Name)
}
}
fmt.Fprintf(buf, "%# v\n\n", pretty.Formatter(a))
// set the actual thing if not set
// lisp users just shake their head in disappointment
switch fnType {
case "create":
creations = a
case "set":
setFns = a
case "destroy":
destructions = a
case "methods":
methods = a
if b != nil {
fmt.Fprintf(buf, "orphaned = %# v\n\n", pretty.Formatter(b))
orphaned = b
}
}
} | [
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"}",
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"}"
] | // generateCRUD creates lists of CRUD functions for the generateStubs function to consume | [
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"lists",
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"CRUD",
"functions",
"for",
"the",
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"consume"
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/cmd/gencudnn/generatethis.go#L56-L139 |
5,436 | gorgonia/cu | ctx.go | Close | func (ctx *Ctx) Close() error {
var empty C.CUcontext
if ctx.CUContext.ctx == empty {
return nil
}
if ctx.errChan != nil {
close(ctx.errChan)
ctx.errChan = nil
}
if ctx.work != nil {
close(ctx.work)
ctx.work = nil
}
err := result(C.cuCtxDestroy(C.CUcontext(unsafe.Pointer(ctx.CUContext.ctx))))
ctx.CUContext.ctx = empty
return err
} | go | func (ctx *Ctx) Close() error {
var empty C.CUcontext
if ctx.CUContext.ctx == empty {
return nil
}
if ctx.errChan != nil {
close(ctx.errChan)
ctx.errChan = nil
}
if ctx.work != nil {
close(ctx.work)
ctx.work = nil
}
err := result(C.cuCtxDestroy(C.CUcontext(unsafe.Pointer(ctx.CUContext.ctx))))
ctx.CUContext.ctx = empty
return err
} | [
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] | // Close destroys the CUDA context and associated resources that has been created. Additionally, all channels of communications will be closed. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/ctx.go#L84-L103 |
5,437 | gorgonia/cu | dnn/pooling.go | NewPooling | func NewPooling(mode PoolingMode, maxpoolingNanOpt NanPropagation, shape, strides, padding []int) (retVal *Pooling, err error) {
var internal C.cudnnPoolingDescriptor_t
if err = result(C.cudnnCreatePoolingDescriptor(&internal)); err != nil {
return nil, err
}
// checks shapes and strides
if len(shape) != len(strides) || len(strides) != len(padding) {
return nil, errors.Errorf(shapeMismatch3, shape, strides, padding)
}
switch len(shape) {
case 0:
return nil, errors.Errorf("Cannot perform pooling with shape %v", shape)
case 2:
windowHeight, windowWidth := shape[0], shape[1]
verticalPadding, horizontalPadding := padding[0], padding[1]
verticalStride, horizontalStride := strides[0], strides[1]
if err = result(C.cudnnSetPooling2dDescriptor(internal, mode.C(), maxpoolingNanOpt.C(), C.int(windowHeight), C.int(windowWidth), C.int(verticalPadding), C.int(horizontalPadding), C.int(verticalStride), C.int(horizontalStride))); err != nil {
return nil, err
}
default:
nbDims := len(shape)
shapePtr, shapePtrManaged := ints2CIntPtr(shape)
defer returnManaged(shapePtrManaged)
paddingPtr, paddingPtrManaged := ints2CIntPtr(padding)
defer returnManaged(paddingPtrManaged)
stridePtr, stridePtrManaged := ints2CIntPtr(strides)
defer returnManaged(stridePtrManaged)
if err = result(C.cudnnSetPoolingNdDescriptor(internal, mode.C(), maxpoolingNanOpt.C(), C.int(nbDims), shapePtr, paddingPtr, stridePtr)); err != nil {
return nil, err
}
}
retVal = &Pooling{
internal: internal,
mode: mode,
maxpoolingNanNopt: maxpoolingNanOpt,
shape: shape,
padding: padding,
strides: strides,
}
runtime.SetFinalizer(retVal, destroyPooling)
return retVal, nil
} | go | func NewPooling(mode PoolingMode, maxpoolingNanOpt NanPropagation, shape, strides, padding []int) (retVal *Pooling, err error) {
var internal C.cudnnPoolingDescriptor_t
if err = result(C.cudnnCreatePoolingDescriptor(&internal)); err != nil {
return nil, err
}
// checks shapes and strides
if len(shape) != len(strides) || len(strides) != len(padding) {
return nil, errors.Errorf(shapeMismatch3, shape, strides, padding)
}
switch len(shape) {
case 0:
return nil, errors.Errorf("Cannot perform pooling with shape %v", shape)
case 2:
windowHeight, windowWidth := shape[0], shape[1]
verticalPadding, horizontalPadding := padding[0], padding[1]
verticalStride, horizontalStride := strides[0], strides[1]
if err = result(C.cudnnSetPooling2dDescriptor(internal, mode.C(), maxpoolingNanOpt.C(), C.int(windowHeight), C.int(windowWidth), C.int(verticalPadding), C.int(horizontalPadding), C.int(verticalStride), C.int(horizontalStride))); err != nil {
return nil, err
}
default:
nbDims := len(shape)
shapePtr, shapePtrManaged := ints2CIntPtr(shape)
defer returnManaged(shapePtrManaged)
paddingPtr, paddingPtrManaged := ints2CIntPtr(padding)
defer returnManaged(paddingPtrManaged)
stridePtr, stridePtrManaged := ints2CIntPtr(strides)
defer returnManaged(stridePtrManaged)
if err = result(C.cudnnSetPoolingNdDescriptor(internal, mode.C(), maxpoolingNanOpt.C(), C.int(nbDims), shapePtr, paddingPtr, stridePtr)); err != nil {
return nil, err
}
}
retVal = &Pooling{
internal: internal,
mode: mode,
maxpoolingNanNopt: maxpoolingNanOpt,
shape: shape,
padding: padding,
strides: strides,
}
runtime.SetFinalizer(retVal, destroyPooling)
return retVal, nil
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] | // NewPooling creates a new Pooling op. | [
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"op",
"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/pooling.go#L31-L75 |
5,438 | gorgonia/cu | dnn/pooling.go | OutputShape | func (p *Pooling) OutputShape(input *TensorDescriptor, dims int) (retVal []int, err error) {
if dims == p.outDims && shapeEq(input.shape, p.inputTensor) {
return cloneShape(p.outputShape), nil
}
return p.CalcOutputShape(input, dims)
} | go | func (p *Pooling) OutputShape(input *TensorDescriptor, dims int) (retVal []int, err error) {
if dims == p.outDims && shapeEq(input.shape, p.inputTensor) {
return cloneShape(p.outputShape), nil
}
return p.CalcOutputShape(input, dims)
} | [
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//
// This method caches the outputShape. If a inputTensor is seen before, and the dims is exactly the same, then the cached output shape is used | [
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5,439 | gorgonia/cu | dnn/pooling.go | CalcOutputShape | func (p *Pooling) CalcOutputShape(input *TensorDescriptor, dims int) (retVal []int, err error) {
p.outDims = dims
p.inputTensor = cloneShape(input.shape)
switch dims {
case 0:
return nil, errors.Errorf("Cannot work on dims of 0")
case 2:
p.outputShape = make([]int, 4)
n := (*C.int)(unsafe.Pointer(&p.outputShape[0]))
c := (*C.int)(unsafe.Pointer(&p.outputShape[1]))
h := (*C.int)(unsafe.Pointer(&p.outputShape[2]))
w := (*C.int)(unsafe.Pointer(&p.outputShape[3]))
if err = result(C.cudnnGetPooling2dForwardOutputDim(p.internal, input.internal, n, c, h, w)); err != nil {
return nil, err
}
default:
p.outputShape = make([]int, dims)
ptr, ptrManaged := ints2CIntPtr(p.outputShape)
defer returnManaged(ptrManaged)
if err = result(C.cudnnGetPoolingNdForwardOutputDim(p.internal, input.internal, C.int(dims), ptr)); err != nil {
return nil, err
}
}
return cloneShape(p.outputShape), nil
} | go | func (p *Pooling) CalcOutputShape(input *TensorDescriptor, dims int) (retVal []int, err error) {
p.outDims = dims
p.inputTensor = cloneShape(input.shape)
switch dims {
case 0:
return nil, errors.Errorf("Cannot work on dims of 0")
case 2:
p.outputShape = make([]int, 4)
n := (*C.int)(unsafe.Pointer(&p.outputShape[0]))
c := (*C.int)(unsafe.Pointer(&p.outputShape[1]))
h := (*C.int)(unsafe.Pointer(&p.outputShape[2]))
w := (*C.int)(unsafe.Pointer(&p.outputShape[3]))
if err = result(C.cudnnGetPooling2dForwardOutputDim(p.internal, input.internal, n, c, h, w)); err != nil {
return nil, err
}
default:
p.outputShape = make([]int, dims)
ptr, ptrManaged := ints2CIntPtr(p.outputShape)
defer returnManaged(ptrManaged)
if err = result(C.cudnnGetPoolingNdForwardOutputDim(p.internal, input.internal, C.int(dims), ptr)); err != nil {
return nil, err
}
}
return cloneShape(p.outputShape), nil
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/pooling.go#L103-L129 |
5,440 | gorgonia/cu | dnn/generated_activation.go | NewActivation | func NewActivation(mode ActivationMode, reluNanOpt NanPropagation, coef float64) (retVal *Activation, err error) {
var internal C.cudnnActivationDescriptor_t
if err := result(C.cudnnCreateActivationDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetActivationDescriptor(internal, mode.C(), reluNanOpt.C(), C.double(coef))); err != nil {
return nil, err
}
retVal = &Activation{
internal: internal,
mode: mode,
reluNanOpt: reluNanOpt,
coef: coef,
}
runtime.SetFinalizer(retVal, destroyActivation)
return retVal, nil
} | go | func NewActivation(mode ActivationMode, reluNanOpt NanPropagation, coef float64) (retVal *Activation, err error) {
var internal C.cudnnActivationDescriptor_t
if err := result(C.cudnnCreateActivationDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetActivationDescriptor(internal, mode.C(), reluNanOpt.C(), C.double(coef))); err != nil {
return nil, err
}
retVal = &Activation{
internal: internal,
mode: mode,
reluNanOpt: reluNanOpt,
coef: coef,
}
runtime.SetFinalizer(retVal, destroyActivation)
return retVal, nil
} | [
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"Activation",
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_activation.go#L19-L37 |
5,441 | gorgonia/cu | cucontext.go | Unlock | func (ctx CUContext) Unlock() error {
if err := Synchronize(); err != nil {
return err
}
runtime.UnlockOSThread()
return nil
} | go | func (ctx CUContext) Unlock() error {
if err := Synchronize(); err != nil {
return err
}
runtime.UnlockOSThread()
return nil
} | [
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5,442 | gorgonia/cu | dnn/generated_reduction.go | NewReduction | func NewReduction(reduceTensorOp ReduceTensorOp, reduceTensorCompType DataType, reduceTensorNanOpt NanPropagation, reduceTensorIndices ReduceTensorIndices, reduceTensorIndicesType IndicesType) (retVal *Reduction, err error) {
var internal C.cudnnReduceTensorDescriptor_t
if err := result(C.cudnnCreateReduceTensorDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetReduceTensorDescriptor(internal, reduceTensorOp.C(), reduceTensorCompType.C(), reduceTensorNanOpt.C(), reduceTensorIndices.C(), reduceTensorIndicesType.C())); err != nil {
return nil, err
}
retVal = &Reduction{
internal: internal,
reduceTensorOp: reduceTensorOp,
reduceTensorCompType: reduceTensorCompType,
reduceTensorNanOpt: reduceTensorNanOpt,
reduceTensorIndices: reduceTensorIndices,
reduceTensorIndicesType: reduceTensorIndicesType,
}
runtime.SetFinalizer(retVal, destroyReduction)
return retVal, nil
} | go | func NewReduction(reduceTensorOp ReduceTensorOp, reduceTensorCompType DataType, reduceTensorNanOpt NanPropagation, reduceTensorIndices ReduceTensorIndices, reduceTensorIndicesType IndicesType) (retVal *Reduction, err error) {
var internal C.cudnnReduceTensorDescriptor_t
if err := result(C.cudnnCreateReduceTensorDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetReduceTensorDescriptor(internal, reduceTensorOp.C(), reduceTensorCompType.C(), reduceTensorNanOpt.C(), reduceTensorIndices.C(), reduceTensorIndicesType.C())); err != nil {
return nil, err
}
retVal = &Reduction{
internal: internal,
reduceTensorOp: reduceTensorOp,
reduceTensorCompType: reduceTensorCompType,
reduceTensorNanOpt: reduceTensorNanOpt,
reduceTensorIndices: reduceTensorIndices,
reduceTensorIndicesType: reduceTensorIndicesType,
}
runtime.SetFinalizer(retVal, destroyReduction)
return retVal, nil
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_reduction.go#L21-L41 |
5,443 | gorgonia/cu | cmd/gencudnn/conversion.go | FirstTensor | func (s GoSignature) FirstTensor() string {
for _, p := range s.Params {
if strings.Contains(p.Type, ctypes2GoTypes["cudnnTensorDescriptor_t"]) {
return p.Name
}
}
panic(fmt.Sprintf("No tensors to check in %v", s))
} | go | func (s GoSignature) FirstTensor() string {
for _, p := range s.Params {
if strings.Contains(p.Type, ctypes2GoTypes["cudnnTensorDescriptor_t"]) {
return p.Name
}
}
panic(fmt.Sprintf("No tensors to check in %v", s))
} | [
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] | // FirstTensor finds the first tensor parameter of the function and returns the name | [
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5,444 | gorgonia/cu | blas/blas.go | Isamax | func (impl *Standard) Isamax(n int, x []float32, incX int) (retVal int) {
// declared at cublasgen.h:384:17 enum CUBLAS_STATUS { ... } cublasIsamax ...
if impl.e != nil {
return
}
if n < 0 {
panic("blas: n < 0")
}
if incX == 0 {
panic("blas: zero x index increment")
}
if n == 0 || incX < 0 {
return -1
}
if incX > 0 && (n-1)*incX >= len(x) {
panic("blas: x index out of range")
}
if n == 0 {
return
}
var ret C.int
impl.e = status(C.cublasIsamax(C.cublasHandle_t(impl.h), C.int(n), (*C.float)(&x[0]), C.int(incX), &ret))
return int(ret)
} | go | func (impl *Standard) Isamax(n int, x []float32, incX int) (retVal int) {
// declared at cublasgen.h:384:17 enum CUBLAS_STATUS { ... } cublasIsamax ...
if impl.e != nil {
return
}
if n < 0 {
panic("blas: n < 0")
}
if incX == 0 {
panic("blas: zero x index increment")
}
if n == 0 || incX < 0 {
return -1
}
if incX > 0 && (n-1)*incX >= len(x) {
panic("blas: x index out of range")
}
if n == 0 {
return
}
var ret C.int
impl.e = status(C.cublasIsamax(C.cublasHandle_t(impl.h), C.int(n), (*C.float)(&x[0]), C.int(incX), &ret))
return int(ret)
} | [
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// If there are multiple such indices the earliest is returned.
// Isamax returns -1 if n == 0. | [
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5,445 | gorgonia/cu | blas/blas.go | Idamax | func (impl *Standard) Idamax(n int, x []float64, incX int) (retVal int) {
// declared at cublasgen.h:390:17 enum CUBLAS_STATUS { ... } cublasIdamax ...
if impl.e != nil {
return
}
if n < 0 {
panic("blas: n < 0")
}
if incX == 0 {
panic("blas: zero x index increment")
}
if n == 0 || incX < 0 {
return -1
}
if incX > 0 && (n-1)*incX >= len(x) {
panic("blas: x index out of range")
}
if n == 0 {
return
}
var ret C.int
impl.e = status(C.cublasIdamax(C.cublasHandle_t(impl.h), C.int(n), (*C.double)(&x[0]), C.int(incX), &ret))
return int(ret)
} | go | func (impl *Standard) Idamax(n int, x []float64, incX int) (retVal int) {
// declared at cublasgen.h:390:17 enum CUBLAS_STATUS { ... } cublasIdamax ...
if impl.e != nil {
return
}
if n < 0 {
panic("blas: n < 0")
}
if incX == 0 {
panic("blas: zero x index increment")
}
if n == 0 || incX < 0 {
return -1
}
if incX > 0 && (n-1)*incX >= len(x) {
panic("blas: x index out of range")
}
if n == 0 {
return
}
var ret C.int
impl.e = status(C.cublasIdamax(C.cublasHandle_t(impl.h), C.int(n), (*C.double)(&x[0]), C.int(incX), &ret))
return int(ret)
} | [
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// If there are multiple such indices the earliest is returned.
// Idamax returns -1 if n == 0. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/blas/blas.go#L940-L964 |
5,446 | gorgonia/cu | dnn/handle.go | NewContext | func NewContext() (retVal *Context) {
var internal C.cudnnHandle_t
if err := result(C.cudnnCreate(&internal)); err != nil {
panic(err)
}
retVal = &Context{internal}
return retVal
} | go | func NewContext() (retVal *Context) {
var internal C.cudnnHandle_t
if err := result(C.cudnnCreate(&internal)); err != nil {
panic(err)
}
retVal = &Context{internal}
return retVal
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/handle.go#L27-L34 |
5,447 | gorgonia/cu | dnn/handle.go | Close | func (ctx *Context) Close() error {
var empty C.cudnnHandle_t
if ctx.internal == empty {
return nil
}
if err := result(C.cudnnDestroy(ctx.internal)); err != nil {
return err
}
ctx.internal = empty
return nil
} | go | func (ctx *Context) Close() error {
var empty C.cudnnHandle_t
if ctx.internal == empty {
return nil
}
if err := result(C.cudnnDestroy(ctx.internal)); err != nil {
return err
}
ctx.internal = empty
return nil
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/handle.go#L37-L48 |
5,448 | gorgonia/cu | dnn/generated_API.go | RestoreDropoutDescriptor | func (dr *Dropout) RestoreDropoutDescriptor(handle *Context, dropout float32, states Memory, stateSizeInBytes uintptr, seed uint64) error {
// call cudnnRestoreDropoutDescriptor
return result(C.cudnnRestoreDropoutDescriptor(dr.internal, handle.internal, C.float(dropout), states.Pointer(), C.size_t(stateSizeInBytes), C.ulonglong(seed)))
} | go | func (dr *Dropout) RestoreDropoutDescriptor(handle *Context, dropout float32, states Memory, stateSizeInBytes uintptr, seed uint64) error {
// call cudnnRestoreDropoutDescriptor
return result(C.cudnnRestoreDropoutDescriptor(dr.internal, handle.internal, C.float(dropout), states.Pointer(), C.size_t(stateSizeInBytes), C.ulonglong(seed)))
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L14-L17 |
5,449 | gorgonia/cu | dnn/generated_API.go | AddTensor | func (co *Context) AddTensor(alpha float64, aDesc *TensorDescriptor, A Memory, beta float64, cDesc *TensorDescriptor, C_ Memory) error {
var alphaC, betaC unsafe.Pointer
switch aDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", aDesc.dataType)
}
// call cudnnAddTensor
return result(C.cudnnAddTensor(co.internal, alphaC, aDesc.internal, A.Pointer(), betaC, cDesc.internal, C_.Pointer()))
} | go | func (co *Context) AddTensor(alpha float64, aDesc *TensorDescriptor, A Memory, beta float64, cDesc *TensorDescriptor, C_ Memory) error {
var alphaC, betaC unsafe.Pointer
switch aDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", aDesc.dataType)
}
// call cudnnAddTensor
return result(C.cudnnAddTensor(co.internal, alphaC, aDesc.internal, A.Pointer(), betaC, cDesc.internal, C_.Pointer()))
} | [
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// C_ is both an input and output | [
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5,450 | gorgonia/cu | dnn/generated_API.go | GetReductionIndicesSize | func (co *Context) GetReductionIndicesSize(reduceTensorDesc *Reduction, aDesc *TensorDescriptor, cDesc *TensorDescriptor) (sizeInBytes uintptr, err error) {
var sizeInBytesC C.size_t
// call cudnnGetReductionIndicesSize
err = result(C.cudnnGetReductionIndicesSize(co.internal, reduceTensorDesc.internal, aDesc.internal, cDesc.internal, &sizeInBytesC))
sizeInBytes = uintptr(sizeInBytesC)
return
} | go | func (co *Context) GetReductionIndicesSize(reduceTensorDesc *Reduction, aDesc *TensorDescriptor, cDesc *TensorDescriptor) (sizeInBytes uintptr, err error) {
var sizeInBytesC C.size_t
// call cudnnGetReductionIndicesSize
err = result(C.cudnnGetReductionIndicesSize(co.internal, reduceTensorDesc.internal, aDesc.internal, cDesc.internal, &sizeInBytesC))
sizeInBytes = uintptr(sizeInBytesC)
return
} | [
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] | // GetReductionIndicesSize is a helper function to return the minimum size of the index space to be passed to the reduction given the input and output tensors. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L104-L110 |
5,451 | gorgonia/cu | dnn/generated_API.go | ScaleTensor | func (co *Context) ScaleTensor(yDesc *TensorDescriptor, y Memory, alpha float64) error {
var alphaC unsafe.Pointer
switch yDesc.dataType {
case Float, Half:
var alphaF C.float
alphaF = C.float(float32(alpha))
alphaC = unsafe.Pointer(&alphaF)
case Double:
var alphaF C.double
alphaF = C.double(alpha)
alphaC = unsafe.Pointer(&alphaF)
default:
return errors.Errorf("Unsupported data type: %v", yDesc.dataType)
}
// call cudnnScaleTensor
return result(C.cudnnScaleTensor(co.internal, yDesc.internal, y.Pointer(), alphaC))
} | go | func (co *Context) ScaleTensor(yDesc *TensorDescriptor, y Memory, alpha float64) error {
var alphaC unsafe.Pointer
switch yDesc.dataType {
case Float, Half:
var alphaF C.float
alphaF = C.float(float32(alpha))
alphaC = unsafe.Pointer(&alphaF)
case Double:
var alphaF C.double
alphaF = C.double(alpha)
alphaC = unsafe.Pointer(&alphaF)
default:
return errors.Errorf("Unsupported data type: %v", yDesc.dataType)
}
// call cudnnScaleTensor
return result(C.cudnnScaleTensor(co.internal, yDesc.internal, y.Pointer(), alphaC))
} | [
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5,452 | gorgonia/cu | dnn/generated_API.go | ConvolutionBackwardBias | func (co *Context) ConvolutionBackwardBias(alpha float64, dyDesc *TensorDescriptor, dy Memory, beta float64, dbDesc *TensorDescriptor, db Memory) error {
// DOUBLECHECK: "cudnnConvolutionBackwardBias" returns Memory type in Parameter 6
var alphaC, betaC unsafe.Pointer
switch dyDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", dyDesc.dataType)
}
// call cudnnConvolutionBackwardBias
return result(C.cudnnConvolutionBackwardBias(co.internal, alphaC, dyDesc.internal, dy.Pointer(), betaC, dbDesc.internal, db.Pointer()))
} | go | func (co *Context) ConvolutionBackwardBias(alpha float64, dyDesc *TensorDescriptor, dy Memory, beta float64, dbDesc *TensorDescriptor, db Memory) error {
// DOUBLECHECK: "cudnnConvolutionBackwardBias" returns Memory type in Parameter 6
var alphaC, betaC unsafe.Pointer
switch dyDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", dyDesc.dataType)
}
// call cudnnConvolutionBackwardBias
return result(C.cudnnConvolutionBackwardBias(co.internal, alphaC, dyDesc.internal, dy.Pointer(), betaC, dbDesc.internal, db.Pointer()))
} | [
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] | // ConvolutionBackwardBias computes the convolution function gradient with respect to the bias, which is the sum of every element belonging to the same feature map across all of the images of the input tensor. Therefore, the number of elements produced is equal to the number of features maps of the input tensor. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L237-L258 |
5,453 | gorgonia/cu | dnn/generated_API.go | SoftmaxForward | func (co *Context) SoftmaxForward(algo SoftmaxAlgorithm, mode SoftmaxMode, alpha float64, xDesc *TensorDescriptor, x Memory, beta float64, yDesc *TensorDescriptor, y Memory) error {
// DOUBLECHECK: "cudnnSoftmaxForward" returns Memory type in Parameter 8
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnSoftmaxForward
return result(C.cudnnSoftmaxForward(co.internal, algo.C(), mode.C(), alphaC, xDesc.internal, x.Pointer(), betaC, yDesc.internal, y.Pointer()))
} | go | func (co *Context) SoftmaxForward(algo SoftmaxAlgorithm, mode SoftmaxMode, alpha float64, xDesc *TensorDescriptor, x Memory, beta float64, yDesc *TensorDescriptor, y Memory) error {
// DOUBLECHECK: "cudnnSoftmaxForward" returns Memory type in Parameter 8
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnSoftmaxForward
return result(C.cudnnSoftmaxForward(co.internal, algo.C(), mode.C(), alphaC, xDesc.internal, x.Pointer(), betaC, yDesc.internal, y.Pointer()))
} | [
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] | // SoftmaxForward computes the softmax function. | [
"SoftmaxForward",
"computes",
"the",
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L358-L379 |
5,454 | gorgonia/cu | dnn/generated_API.go | SoftmaxBackward | func (co *Context) SoftmaxBackward(algo SoftmaxAlgorithm, mode SoftmaxMode, alpha float64, yDesc *TensorDescriptor, y Memory, dyDesc *TensorDescriptor, dy Memory, beta float64, dxDesc *TensorDescriptor, dx Memory) error {
// DOUBLECHECK: "cudnnSoftmaxBackward" returns Memory type in Parameter 10
var alphaC, betaC unsafe.Pointer
switch yDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", yDesc.dataType)
}
// call cudnnSoftmaxBackward
return result(C.cudnnSoftmaxBackward(co.internal, algo.C(), mode.C(), alphaC, yDesc.internal, y.Pointer(), dyDesc.internal, dy.Pointer(), betaC, dxDesc.internal, dx.Pointer()))
} | go | func (co *Context) SoftmaxBackward(algo SoftmaxAlgorithm, mode SoftmaxMode, alpha float64, yDesc *TensorDescriptor, y Memory, dyDesc *TensorDescriptor, dy Memory, beta float64, dxDesc *TensorDescriptor, dx Memory) error {
// DOUBLECHECK: "cudnnSoftmaxBackward" returns Memory type in Parameter 10
var alphaC, betaC unsafe.Pointer
switch yDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", yDesc.dataType)
}
// call cudnnSoftmaxBackward
return result(C.cudnnSoftmaxBackward(co.internal, algo.C(), mode.C(), alphaC, yDesc.internal, y.Pointer(), dyDesc.internal, dy.Pointer(), betaC, dxDesc.internal, dx.Pointer()))
} | [
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] | // SoftmaxBackward computes the gradient of the softmax function. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L382-L403 |
5,455 | gorgonia/cu | dnn/generated_API.go | LRNCrossChannelForward | func (co *Context) LRNCrossChannelForward(normDesc *LRN, lrnMode LRNMode, alpha float64, xDesc *TensorDescriptor, x Memory, beta float64, yDesc *TensorDescriptor, y Memory) error {
// DOUBLECHECK: "cudnnLRNCrossChannelForward" returns Memory type in Parameter 8
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnLRNCrossChannelForward
return result(C.cudnnLRNCrossChannelForward(co.internal, normDesc.internal, lrnMode.C(), alphaC, xDesc.internal, x.Pointer(), betaC, yDesc.internal, y.Pointer()))
} | go | func (co *Context) LRNCrossChannelForward(normDesc *LRN, lrnMode LRNMode, alpha float64, xDesc *TensorDescriptor, x Memory, beta float64, yDesc *TensorDescriptor, y Memory) error {
// DOUBLECHECK: "cudnnLRNCrossChannelForward" returns Memory type in Parameter 8
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnLRNCrossChannelForward
return result(C.cudnnLRNCrossChannelForward(co.internal, normDesc.internal, lrnMode.C(), alphaC, xDesc.internal, x.Pointer(), betaC, yDesc.internal, y.Pointer()))
} | [
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] | // LRNCrossChannelForward performs the forward LRN layer computation. | [
"LRNCrossChannelForward",
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"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L502-L523 |
5,456 | gorgonia/cu | dnn/generated_API.go | DivisiveNormalizationBackward | func (co *Context) DivisiveNormalizationBackward(normDesc *LRN, mode DivNormMode, alpha float64, xDesc *TensorDescriptor, x Memory, means Memory, dy Memory, temp Memory, temp2 Memory, beta float64, dXdMeansDesc *TensorDescriptor, dx Memory, dMeans Memory) error {
// DOUBLECHECK: "cudnnDivisiveNormalizationBackward" returns Memory type in Parameter 13
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnDivisiveNormalizationBackward
return result(C.cudnnDivisiveNormalizationBackward(co.internal, normDesc.internal, mode.C(), alphaC, xDesc.internal, x.Pointer(), means.Pointer(), dy.Pointer(), temp.Pointer(), temp2.Pointer(), betaC, dXdMeansDesc.internal, dx.Pointer(), dMeans.Pointer()))
} | go | func (co *Context) DivisiveNormalizationBackward(normDesc *LRN, mode DivNormMode, alpha float64, xDesc *TensorDescriptor, x Memory, means Memory, dy Memory, temp Memory, temp2 Memory, beta float64, dXdMeansDesc *TensorDescriptor, dx Memory, dMeans Memory) error {
// DOUBLECHECK: "cudnnDivisiveNormalizationBackward" returns Memory type in Parameter 13
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnDivisiveNormalizationBackward
return result(C.cudnnDivisiveNormalizationBackward(co.internal, normDesc.internal, mode.C(), alphaC, xDesc.internal, x.Pointer(), means.Pointer(), dy.Pointer(), temp.Pointer(), temp2.Pointer(), betaC, dXdMeansDesc.internal, dx.Pointer(), dMeans.Pointer()))
} | [
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] | // DivisiveNormalizationBackward performs the backward DivisiveNormalization layer computation. | [
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"layer",
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"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L575-L596 |
5,457 | gorgonia/cu | dnn/generated_API.go | BatchNormalizationForwardTraining | func (co *Context) BatchNormalizationForwardTraining(mode BatchNormMode, alpha float64, beta float64, xDesc *TensorDescriptor, x Memory, yDesc *TensorDescriptor, y Memory, bnScaleBiasMeanVarDesc *TensorDescriptor, bnScale Memory, bnBias Memory, exponentialAverageFactor float64, resultRunningMean Memory, resultRunningVariance Memory, epsilon float64, resultSaveMean Memory, resultSaveInvVariance Memory) error {
// DOUBLECHECK: "cudnnBatchNormalizationForwardTraining" returns Memory type in Parameter 16
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnBatchNormalizationForwardTraining
return result(C.cudnnBatchNormalizationForwardTraining(co.internal, mode.C(), alphaC, betaC, xDesc.internal, x.Pointer(), yDesc.internal, y.Pointer(), bnScaleBiasMeanVarDesc.internal, bnScale.Pointer(), bnBias.Pointer(), C.double(exponentialAverageFactor), resultRunningMean.Pointer(), resultRunningVariance.Pointer(), C.double(epsilon), resultSaveMean.Pointer(), resultSaveInvVariance.Pointer()))
} | go | func (co *Context) BatchNormalizationForwardTraining(mode BatchNormMode, alpha float64, beta float64, xDesc *TensorDescriptor, x Memory, yDesc *TensorDescriptor, y Memory, bnScaleBiasMeanVarDesc *TensorDescriptor, bnScale Memory, bnBias Memory, exponentialAverageFactor float64, resultRunningMean Memory, resultRunningVariance Memory, epsilon float64, resultSaveMean Memory, resultSaveInvVariance Memory) error {
// DOUBLECHECK: "cudnnBatchNormalizationForwardTraining" returns Memory type in Parameter 16
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnBatchNormalizationForwardTraining
return result(C.cudnnBatchNormalizationForwardTraining(co.internal, mode.C(), alphaC, betaC, xDesc.internal, x.Pointer(), yDesc.internal, y.Pointer(), bnScaleBiasMeanVarDesc.internal, bnScale.Pointer(), bnBias.Pointer(), C.double(exponentialAverageFactor), resultRunningMean.Pointer(), resultRunningVariance.Pointer(), C.double(epsilon), resultSaveMean.Pointer(), resultSaveInvVariance.Pointer()))
} | [
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] | // BatchNormalizationForwardTraining performs the forward BatchNormalization layer computation for training phase. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L599-L620 |
5,458 | gorgonia/cu | dnn/generated_API.go | BatchNormalizationBackward | func (co *Context) BatchNormalizationBackward(mode BatchNormMode, alphaDataDiff float64, betaDataDiff float64, alphaParamDiff float64, betaParamDiff float64, xDesc *TensorDescriptor, x Memory, dyDesc *TensorDescriptor, dy Memory, dxDesc *TensorDescriptor, dx Memory, dBnScaleBiasDesc *TensorDescriptor, bnScale Memory, dBnScaleResult Memory, dBnBiasResult Memory, epsilon float64, savedMean Memory, savedInvVariance Memory) error {
var alphaDataDiffC, betaDataDiffC, alphaParamDiffC, betaParamDiffC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaDataDiffF, betaDataDiffF, alphaParamDiffF, betaParamDiffF C.float
alphaDataDiffF = C.float(float32(alphaDataDiff))
betaDataDiffF = C.float(float32(betaDataDiff))
alphaParamDiffF = C.float(float32(alphaParamDiff))
betaParamDiffF = C.float(float32(betaParamDiff))
alphaDataDiffC = unsafe.Pointer(&alphaDataDiffF)
betaDataDiffC = unsafe.Pointer(&betaDataDiffF)
alphaParamDiffC = unsafe.Pointer(&alphaParamDiffF)
betaParamDiffC = unsafe.Pointer(&betaParamDiffF)
case Double:
var alphaDataDiffF, betaDataDiffF, alphaParamDiffF, betaParamDiffF C.double
alphaDataDiffF = C.double(alphaDataDiff)
betaDataDiffF = C.double(betaDataDiff)
alphaParamDiffF = C.double(alphaParamDiff)
betaParamDiffF = C.double(betaParamDiff)
alphaDataDiffC = unsafe.Pointer(&alphaDataDiffF)
betaDataDiffC = unsafe.Pointer(&betaDataDiffF)
alphaParamDiffC = unsafe.Pointer(&alphaParamDiffF)
betaParamDiffC = unsafe.Pointer(&betaParamDiffF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnBatchNormalizationBackward
return result(C.cudnnBatchNormalizationBackward(co.internal, mode.C(), alphaDataDiffC, betaDataDiffC, alphaParamDiffC, betaParamDiffC, xDesc.internal, x.Pointer(), dyDesc.internal, dy.Pointer(), dxDesc.internal, dx.Pointer(), dBnScaleBiasDesc.internal, bnScale.Pointer(), dBnScaleResult.Pointer(), dBnBiasResult.Pointer(), C.double(epsilon), savedMean.Pointer(), savedInvVariance.Pointer()))
} | go | func (co *Context) BatchNormalizationBackward(mode BatchNormMode, alphaDataDiff float64, betaDataDiff float64, alphaParamDiff float64, betaParamDiff float64, xDesc *TensorDescriptor, x Memory, dyDesc *TensorDescriptor, dy Memory, dxDesc *TensorDescriptor, dx Memory, dBnScaleBiasDesc *TensorDescriptor, bnScale Memory, dBnScaleResult Memory, dBnBiasResult Memory, epsilon float64, savedMean Memory, savedInvVariance Memory) error {
var alphaDataDiffC, betaDataDiffC, alphaParamDiffC, betaParamDiffC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaDataDiffF, betaDataDiffF, alphaParamDiffF, betaParamDiffF C.float
alphaDataDiffF = C.float(float32(alphaDataDiff))
betaDataDiffF = C.float(float32(betaDataDiff))
alphaParamDiffF = C.float(float32(alphaParamDiff))
betaParamDiffF = C.float(float32(betaParamDiff))
alphaDataDiffC = unsafe.Pointer(&alphaDataDiffF)
betaDataDiffC = unsafe.Pointer(&betaDataDiffF)
alphaParamDiffC = unsafe.Pointer(&alphaParamDiffF)
betaParamDiffC = unsafe.Pointer(&betaParamDiffF)
case Double:
var alphaDataDiffF, betaDataDiffF, alphaParamDiffF, betaParamDiffF C.double
alphaDataDiffF = C.double(alphaDataDiff)
betaDataDiffF = C.double(betaDataDiff)
alphaParamDiffF = C.double(alphaParamDiff)
betaParamDiffF = C.double(betaParamDiff)
alphaDataDiffC = unsafe.Pointer(&alphaDataDiffF)
betaDataDiffC = unsafe.Pointer(&betaDataDiffF)
alphaParamDiffC = unsafe.Pointer(&alphaParamDiffF)
betaParamDiffC = unsafe.Pointer(&betaParamDiffF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnBatchNormalizationBackward
return result(C.cudnnBatchNormalizationBackward(co.internal, mode.C(), alphaDataDiffC, betaDataDiffC, alphaParamDiffC, betaParamDiffC, xDesc.internal, x.Pointer(), dyDesc.internal, dy.Pointer(), dxDesc.internal, dx.Pointer(), dBnScaleBiasDesc.internal, bnScale.Pointer(), dBnScaleResult.Pointer(), dBnBiasResult.Pointer(), C.double(epsilon), savedMean.Pointer(), savedInvVariance.Pointer()))
} | [
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] | // BatchNormalizationBackward performs the backward BatchNormalization layer computation. | [
"BatchNormalizationBackward",
"performs",
"the",
"backward",
"BatchNormalization",
"layer",
"computation",
"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L646-L674 |
5,459 | gorgonia/cu | dnn/generated_API.go | SpatialTfGridGeneratorForward | func (co *Context) SpatialTfGridGeneratorForward(stDesc *SpatialTransformer, theta Memory, grid Memory) error {
// DOUBLECHECK: "cudnnSpatialTfGridGeneratorForward" returns Memory type in Parameter 3
// call cudnnSpatialTfGridGeneratorForward
return result(C.cudnnSpatialTfGridGeneratorForward(co.internal, stDesc.internal, theta.Pointer(), grid.Pointer()))
} | go | func (co *Context) SpatialTfGridGeneratorForward(stDesc *SpatialTransformer, theta Memory, grid Memory) error {
// DOUBLECHECK: "cudnnSpatialTfGridGeneratorForward" returns Memory type in Parameter 3
// call cudnnSpatialTfGridGeneratorForward
return result(C.cudnnSpatialTfGridGeneratorForward(co.internal, stDesc.internal, theta.Pointer(), grid.Pointer()))
} | [
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] | // SpatialTfGridGeneratorForward generates a grid of coordinates in the input tensor corresponding to each pixel from the output tensor. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L677-L681 |
5,460 | gorgonia/cu | dnn/generated_API.go | SpatialTfGridGeneratorBackward | func (co *Context) SpatialTfGridGeneratorBackward(stDesc *SpatialTransformer, dgrid Memory, dtheta Memory) error {
// DOUBLECHECK: "cudnnSpatialTfGridGeneratorBackward" returns Memory type in Parameter 3
// call cudnnSpatialTfGridGeneratorBackward
return result(C.cudnnSpatialTfGridGeneratorBackward(co.internal, stDesc.internal, dgrid.Pointer(), dtheta.Pointer()))
} | go | func (co *Context) SpatialTfGridGeneratorBackward(stDesc *SpatialTransformer, dgrid Memory, dtheta Memory) error {
// DOUBLECHECK: "cudnnSpatialTfGridGeneratorBackward" returns Memory type in Parameter 3
// call cudnnSpatialTfGridGeneratorBackward
return result(C.cudnnSpatialTfGridGeneratorBackward(co.internal, stDesc.internal, dgrid.Pointer(), dtheta.Pointer()))
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L684-L688 |
5,461 | gorgonia/cu | dnn/generated_API.go | SpatialTfSamplerForward | func (co *Context) SpatialTfSamplerForward(stDesc *SpatialTransformer, alpha float64, xDesc *TensorDescriptor, x Memory, grid Memory, beta float64, yDesc *TensorDescriptor, y Memory) error {
// DOUBLECHECK: "cudnnSpatialTfSamplerForward" returns Memory type in Parameter 8
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnSpatialTfSamplerForward
return result(C.cudnnSpatialTfSamplerForward(co.internal, stDesc.internal, alphaC, xDesc.internal, x.Pointer(), grid.Pointer(), betaC, yDesc.internal, y.Pointer()))
} | go | func (co *Context) SpatialTfSamplerForward(stDesc *SpatialTransformer, alpha float64, xDesc *TensorDescriptor, x Memory, grid Memory, beta float64, yDesc *TensorDescriptor, y Memory) error {
// DOUBLECHECK: "cudnnSpatialTfSamplerForward" returns Memory type in Parameter 8
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnSpatialTfSamplerForward
return result(C.cudnnSpatialTfSamplerForward(co.internal, stDesc.internal, alphaC, xDesc.internal, x.Pointer(), grid.Pointer(), betaC, yDesc.internal, y.Pointer()))
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] | // SpatialTfSamplerForward performs a sampler operation and generates the output tensor using the grid given by the grid generator. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L691-L712 |
5,462 | gorgonia/cu | dnn/generated_API.go | SpatialTfSamplerBackward | func (co *Context) SpatialTfSamplerBackward(stDesc *SpatialTransformer, alpha float64, xDesc *TensorDescriptor, x Memory, beta float64, dxDesc *TensorDescriptor, dx Memory, alphaDgrid Memory, dyDesc *TensorDescriptor, dy Memory, grid Memory, betaDgrid Memory, dgrid Memory) error {
// DOUBLECHECK: "cudnnSpatialTfSamplerBackward" returns Memory type in Parameter 13
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnSpatialTfSamplerBackward
return result(C.cudnnSpatialTfSamplerBackward(co.internal, stDesc.internal, alphaC, xDesc.internal, x.Pointer(), betaC, dxDesc.internal, dx.Pointer(), alphaDgrid.Pointer(), dyDesc.internal, dy.Pointer(), grid.Pointer(), betaDgrid.Pointer(), dgrid.Pointer()))
} | go | func (co *Context) SpatialTfSamplerBackward(stDesc *SpatialTransformer, alpha float64, xDesc *TensorDescriptor, x Memory, beta float64, dxDesc *TensorDescriptor, dx Memory, alphaDgrid Memory, dyDesc *TensorDescriptor, dy Memory, grid Memory, betaDgrid Memory, dgrid Memory) error {
// DOUBLECHECK: "cudnnSpatialTfSamplerBackward" returns Memory type in Parameter 13
var alphaC, betaC unsafe.Pointer
switch xDesc.dataType {
case Float, Half:
var alphaF, betaF C.float
alphaF = C.float(float32(alpha))
betaF = C.float(float32(beta))
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
case Double:
var alphaF, betaF C.double
alphaF = C.double(alpha)
betaF = C.double(beta)
alphaC = unsafe.Pointer(&alphaF)
betaC = unsafe.Pointer(&betaF)
default:
return errors.Errorf("Unsupported data type: %v", xDesc.dataType)
}
// call cudnnSpatialTfSamplerBackward
return result(C.cudnnSpatialTfSamplerBackward(co.internal, stDesc.internal, alphaC, xDesc.internal, x.Pointer(), betaC, dxDesc.internal, dx.Pointer(), alphaDgrid.Pointer(), dyDesc.internal, dy.Pointer(), grid.Pointer(), betaDgrid.Pointer(), dgrid.Pointer()))
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] | // SpatialTfSamplerBackward computes the gradient of a sampling operation. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L715-L736 |
5,463 | gorgonia/cu | dnn/generated_API.go | DropoutGetStatesSize | func (co *Context) DropoutGetStatesSize() (sizeInBytes uintptr, err error) {
var sizeInBytesC C.size_t
// call cudnnDropoutGetStatesSize
err = result(C.cudnnDropoutGetStatesSize(co.internal, &sizeInBytesC))
sizeInBytes = uintptr(sizeInBytesC)
return
} | go | func (co *Context) DropoutGetStatesSize() (sizeInBytes uintptr, err error) {
var sizeInBytesC C.size_t
// call cudnnDropoutGetStatesSize
err = result(C.cudnnDropoutGetStatesSize(co.internal, &sizeInBytesC))
sizeInBytes = uintptr(sizeInBytesC)
return
} | [
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"\n",
"return",
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"}"
] | // DropoutGetStatesSize is used to query the amount of space required to store the states of the random number generators used by cudnnDropoutForward function. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L739-L745 |
5,464 | gorgonia/cu | dnn/generated_API.go | DropoutBackward | func (co *Context) DropoutBackward(dropoutDesc *Dropout, dydesc *TensorDescriptor, dy Memory, dxdesc *TensorDescriptor, dx Memory, reserveSpace Memory, reserveSpaceSizeInBytes uintptr) error {
// DOUBLECHECK: "cudnnDropoutBackward" returns Memory type in Parameter 5
// call cudnnDropoutBackward
return result(C.cudnnDropoutBackward(co.internal, dropoutDesc.internal, dydesc.internal, dy.Pointer(), dxdesc.internal, dx.Pointer(), reserveSpace.Pointer(), C.size_t(reserveSpaceSizeInBytes)))
} | go | func (co *Context) DropoutBackward(dropoutDesc *Dropout, dydesc *TensorDescriptor, dy Memory, dxdesc *TensorDescriptor, dx Memory, reserveSpace Memory, reserveSpaceSizeInBytes uintptr) error {
// DOUBLECHECK: "cudnnDropoutBackward" returns Memory type in Parameter 5
// call cudnnDropoutBackward
return result(C.cudnnDropoutBackward(co.internal, dropoutDesc.internal, dydesc.internal, dy.Pointer(), dxdesc.internal, dx.Pointer(), reserveSpace.Pointer(), C.size_t(reserveSpaceSizeInBytes)))
} | [
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] | // DropoutBackward performs backward dropout operation over dy returning results in dx. If during forward dropout operation value from x was propagated to y then during backward operation value from dy will be propagated to dx, otherwise, dx value will be set to 0. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L755-L759 |
5,465 | gorgonia/cu | dnn/generated_API.go | GetRNNWorkspaceSize | func (co *Context) GetRNNWorkspaceSize(rnnDesc *RNN, seqLength int, xDesc []*TensorDescriptor) (sizeInBytes uintptr, err error) {
var sizeInBytesC C.size_t
if len(xDesc) != seqLength {
return 0, errors.Errorf("Incorrect xDesc length. Want %d. Got %d", seqLength, len(xDesc))
}
internals := make([]C.cudnnTensorDescriptor_t, len(xDesc))
for i := range xDesc {
internals[i] = xDesc[i].internal
}
ptr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&internals[0]))
// call cudnnGetRNNWorkspaceSize
err = result(C.cudnnGetRNNWorkspaceSize(co.internal, rnnDesc.internal, C.int(seqLength), ptr, &sizeInBytesC))
sizeInBytes = uintptr(sizeInBytesC)
return
} | go | func (co *Context) GetRNNWorkspaceSize(rnnDesc *RNN, seqLength int, xDesc []*TensorDescriptor) (sizeInBytes uintptr, err error) {
var sizeInBytesC C.size_t
if len(xDesc) != seqLength {
return 0, errors.Errorf("Incorrect xDesc length. Want %d. Got %d", seqLength, len(xDesc))
}
internals := make([]C.cudnnTensorDescriptor_t, len(xDesc))
for i := range xDesc {
internals[i] = xDesc[i].internal
}
ptr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&internals[0]))
// call cudnnGetRNNWorkspaceSize
err = result(C.cudnnGetRNNWorkspaceSize(co.internal, rnnDesc.internal, C.int(seqLength), ptr, &sizeInBytesC))
sizeInBytes = uintptr(sizeInBytesC)
return
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] | // GetRNNWorkspaceSize is used to query the amount of work space required to execute the RNN described by rnnDesc with inputs dimensions defined by xDesc. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L762-L778 |
5,466 | gorgonia/cu | dnn/generated_API.go | GetRNNParamsSize | func (co *Context) GetRNNParamsSize(rnnDesc *RNN, xDesc *TensorDescriptor, dataType DataType) (sizeInBytes uintptr, err error) {
var sizeInBytesC C.size_t
// call cudnnGetRNNParamsSize
err = result(C.cudnnGetRNNParamsSize(co.internal, rnnDesc.internal, xDesc.internal, &sizeInBytesC, dataType.C()))
sizeInBytes = uintptr(sizeInBytesC)
return
} | go | func (co *Context) GetRNNParamsSize(rnnDesc *RNN, xDesc *TensorDescriptor, dataType DataType) (sizeInBytes uintptr, err error) {
var sizeInBytesC C.size_t
// call cudnnGetRNNParamsSize
err = result(C.cudnnGetRNNParamsSize(co.internal, rnnDesc.internal, xDesc.internal, &sizeInBytesC, dataType.C()))
sizeInBytes = uintptr(sizeInBytesC)
return
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L800-L806 |
5,467 | gorgonia/cu | dnn/generated_API.go | RNNBackwardData | func (co *Context) RNNBackwardData(rnnDesc *RNN, seqLength int, yDesc []*TensorDescriptor, y Memory, dyDesc []*TensorDescriptor, dy Memory, dhyDesc *TensorDescriptor, dhy Memory, dcyDesc *TensorDescriptor, dcy Memory, wDesc *Filter, w Memory, hxDesc *TensorDescriptor, hx Memory, cxDesc *TensorDescriptor, cx Memory, dxDesc []*TensorDescriptor, dx Memory, dhxDesc *TensorDescriptor, dhx Memory, dcxDesc *TensorDescriptor, dcx Memory, workspace Memory, workSpaceSizeInBytes uintptr, reserveSpace Memory, reserveSpaceSizeInBytes uintptr) error {
// DOUBLECHECK: "cudnnRNNBackwardData" returns Memory type in Parameter 22
internals := make([]C.cudnnTensorDescriptor_t, len(yDesc))
for i := range yDesc {
internals[i] = yDesc[i].internal
}
ptr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&internals[0]))
dyInternals := make([]C.cudnnTensorDescriptor_t, len(dyDesc))
for i := range dyDesc {
dyInternals[i] = dyDesc[i].internal
}
dyPtr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&dyInternals[0]))
dxInternals := make([]C.cudnnTensorDescriptor_t, len(dxDesc))
for i := range dyDesc {
dxInternals[i] = dxDesc[i].internal
}
dxPtr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&dxInternals[0]))
// call cudnnRNNBackwardData
return result(C.cudnnRNNBackwardData(co.internal, rnnDesc.internal, C.int(seqLength), ptr, y.Pointer(), dyPtr, dy.Pointer(), dhyDesc.internal, dhy.Pointer(), dcyDesc.internal, dcy.Pointer(), wDesc.internal, w.Pointer(), hxDesc.internal, hx.Pointer(), cxDesc.internal, cx.Pointer(), dxPtr, dx.Pointer(), dhxDesc.internal, dhx.Pointer(), dcxDesc.internal, dcx.Pointer(), workspace.Pointer(), C.size_t(workSpaceSizeInBytes), reserveSpace.Pointer(), C.size_t(reserveSpaceSizeInBytes)))
} | go | func (co *Context) RNNBackwardData(rnnDesc *RNN, seqLength int, yDesc []*TensorDescriptor, y Memory, dyDesc []*TensorDescriptor, dy Memory, dhyDesc *TensorDescriptor, dhy Memory, dcyDesc *TensorDescriptor, dcy Memory, wDesc *Filter, w Memory, hxDesc *TensorDescriptor, hx Memory, cxDesc *TensorDescriptor, cx Memory, dxDesc []*TensorDescriptor, dx Memory, dhxDesc *TensorDescriptor, dhx Memory, dcxDesc *TensorDescriptor, dcx Memory, workspace Memory, workSpaceSizeInBytes uintptr, reserveSpace Memory, reserveSpaceSizeInBytes uintptr) error {
// DOUBLECHECK: "cudnnRNNBackwardData" returns Memory type in Parameter 22
internals := make([]C.cudnnTensorDescriptor_t, len(yDesc))
for i := range yDesc {
internals[i] = yDesc[i].internal
}
ptr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&internals[0]))
dyInternals := make([]C.cudnnTensorDescriptor_t, len(dyDesc))
for i := range dyDesc {
dyInternals[i] = dyDesc[i].internal
}
dyPtr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&dyInternals[0]))
dxInternals := make([]C.cudnnTensorDescriptor_t, len(dxDesc))
for i := range dyDesc {
dxInternals[i] = dxDesc[i].internal
}
dxPtr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&dxInternals[0]))
// call cudnnRNNBackwardData
return result(C.cudnnRNNBackwardData(co.internal, rnnDesc.internal, C.int(seqLength), ptr, y.Pointer(), dyPtr, dy.Pointer(), dhyDesc.internal, dhy.Pointer(), dcyDesc.internal, dcy.Pointer(), wDesc.internal, w.Pointer(), hxDesc.internal, hx.Pointer(), cxDesc.internal, cx.Pointer(), dxPtr, dx.Pointer(), dhxDesc.internal, dhx.Pointer(), dcxDesc.internal, dcx.Pointer(), workspace.Pointer(), C.size_t(workSpaceSizeInBytes), reserveSpace.Pointer(), C.size_t(reserveSpaceSizeInBytes)))
} | [
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] | // RNNBackwardData executes the recurrent neural network described by rnnDesc with output gradients dy, dhy, dhc, weights w and input gradients dx, dhx, dcx. workspace is required for intermediate storage. The data in reserveSpace must have previously been generated by cudnnRNNForwardTraining. The same reserveSpace data must be used for future calls to cudnnRNNBackwardWeights if they execute on the same input data.
// reserveSpace is both an input and output | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L870-L892 |
5,468 | gorgonia/cu | dnn/generated_API.go | RNNBackwardWeights | func (co *Context) RNNBackwardWeights(rnnDesc *RNN, seqLength int, xDesc []*TensorDescriptor, x Memory, hxDesc *TensorDescriptor, hx Memory, yDesc []*TensorDescriptor, y Memory, workspace Memory, workSpaceSizeInBytes uintptr, dwDesc *Filter, dw Memory, reserveSpace Memory, reserveSpaceSizeInBytes uintptr) error {
internals := make([]C.cudnnTensorDescriptor_t, len(xDesc))
for i := range xDesc {
internals[i] = xDesc[i].internal
}
ptr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&internals[0]))
yDescInternals := make([]C.cudnnTensorDescriptor_t, len(xDesc))
for i := range yDesc {
yDescInternals[i] = yDesc[i].internal
}
yDescPtr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&yDescInternals[0]))
// call cudnnRNNBackwardWeights
return result(C.cudnnRNNBackwardWeights(co.internal, rnnDesc.internal, C.int(seqLength), ptr, x.Pointer(), hxDesc.internal, hx.Pointer(), yDescPtr, y.Pointer(), workspace.Pointer(), C.size_t(workSpaceSizeInBytes), dwDesc.internal, dw.Pointer(), reserveSpace.Pointer(), C.size_t(reserveSpaceSizeInBytes)))
} | go | func (co *Context) RNNBackwardWeights(rnnDesc *RNN, seqLength int, xDesc []*TensorDescriptor, x Memory, hxDesc *TensorDescriptor, hx Memory, yDesc []*TensorDescriptor, y Memory, workspace Memory, workSpaceSizeInBytes uintptr, dwDesc *Filter, dw Memory, reserveSpace Memory, reserveSpaceSizeInBytes uintptr) error {
internals := make([]C.cudnnTensorDescriptor_t, len(xDesc))
for i := range xDesc {
internals[i] = xDesc[i].internal
}
ptr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&internals[0]))
yDescInternals := make([]C.cudnnTensorDescriptor_t, len(xDesc))
for i := range yDesc {
yDescInternals[i] = yDesc[i].internal
}
yDescPtr := (*C.cudnnTensorDescriptor_t)(unsafe.Pointer(&yDescInternals[0]))
// call cudnnRNNBackwardWeights
return result(C.cudnnRNNBackwardWeights(co.internal, rnnDesc.internal, C.int(seqLength), ptr, x.Pointer(), hxDesc.internal, hx.Pointer(), yDescPtr, y.Pointer(), workspace.Pointer(), C.size_t(workSpaceSizeInBytes), dwDesc.internal, dw.Pointer(), reserveSpace.Pointer(), C.size_t(reserveSpaceSizeInBytes)))
} | [
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] | // RNNBackwardWeights accumulates weight gradients dw from the recurrent neural network described by rnnDesc with inputs x, hx, and outputs y. The mode of operation in this case is additive, the weight gradients calculated will be added to those already existing in dw. workspace is required for intermediate storage. The data in reserveSpace must have previously been generated by cudnnRNNBackwardData.
// dw is both an input and output | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L896-L911 |
5,469 | gorgonia/cu | dnn/generated_API.go | CTCLoss | func (co *Context) CTCLoss(probsDesc *TensorDescriptor, probs Memory, labels []int, labelLengths []int, inputLengths []int, costs Memory, gradientsDesc *TensorDescriptor, gradients Memory, algo CTCLossAlgo, ctcLossDesc *CTCLoss, workspace Memory, workSpaceSizeInBytes uintptr) error {
// DOUBLECHECK: "cudnnCTCLoss" returns Memory type in Parameter 8
labelsPtr, labelsPtrManaged := ints2CIntPtr(labels)
defer returnManaged(labelsPtrManaged)
labelLengthsPtr, labelLengthsPtrManaged := ints2CIntPtr(labelLengths)
defer returnManaged(labelLengthsPtrManaged)
inputLengthsPtr, inputLengthsPtrManaged := ints2CIntPtr(inputLengths)
defer returnManaged(inputLengthsPtrManaged)
// call cudnnCTCLoss
return result(C.cudnnCTCLoss(co.internal, probsDesc.internal, probs.Pointer(), labelsPtr, labelLengthsPtr, inputLengthsPtr, costs.Pointer(), gradientsDesc.internal, gradients.Pointer(), algo.C(), ctcLossDesc.internal, workspace.Pointer(), C.size_t(workSpaceSizeInBytes)))
} | go | func (co *Context) CTCLoss(probsDesc *TensorDescriptor, probs Memory, labels []int, labelLengths []int, inputLengths []int, costs Memory, gradientsDesc *TensorDescriptor, gradients Memory, algo CTCLossAlgo, ctcLossDesc *CTCLoss, workspace Memory, workSpaceSizeInBytes uintptr) error {
// DOUBLECHECK: "cudnnCTCLoss" returns Memory type in Parameter 8
labelsPtr, labelsPtrManaged := ints2CIntPtr(labels)
defer returnManaged(labelsPtrManaged)
labelLengthsPtr, labelLengthsPtrManaged := ints2CIntPtr(labelLengths)
defer returnManaged(labelLengthsPtrManaged)
inputLengthsPtr, inputLengthsPtrManaged := ints2CIntPtr(inputLengths)
defer returnManaged(inputLengthsPtrManaged)
// call cudnnCTCLoss
return result(C.cudnnCTCLoss(co.internal, probsDesc.internal, probs.Pointer(), labelsPtr, labelLengthsPtr, inputLengthsPtr, costs.Pointer(), gradientsDesc.internal, gradients.Pointer(), algo.C(), ctcLossDesc.internal, workspace.Pointer(), C.size_t(workSpaceSizeInBytes)))
} | [
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] | // CTCLoss returns the ctc costs and gradients, given the probabilities and labels. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_API.go#L914-L925 |
5,470 | gorgonia/cu | batchedPatterns.go | LaunchAndSync | func (fn Function) LaunchAndSync(gridDimX, gridDimY, gridDimZ, blockDimX, blockDimY, blockDimZ, sharedMemBytes int, stream Stream, kernelParams []unsafe.Pointer) error {
argv := C.malloc(C.size_t(len(kernelParams) * pointerSize))
argp := C.malloc(C.size_t(len(kernelParams) * pointerSize))
defer C.free(argv)
defer C.free(argp)
for i := range kernelParams {
*((*unsafe.Pointer)(offset(argp, i))) = offset(argv, i) // argp[i] = &argv[i]
*((*uint64)(offset(argv, i))) = *((*uint64)(kernelParams[i])) // argv[i] = *kernelParams[i]
}
err := result(C.cuLaunchAndSync(
fn.fn,
C.uint(gridDimX),
C.uint(gridDimY),
C.uint(gridDimZ),
C.uint(blockDimX),
C.uint(blockDimY),
C.uint(blockDimZ),
C.uint(sharedMemBytes),
stream.c(),
(*unsafe.Pointer)(argp),
(*unsafe.Pointer)(nil)))
return err
} | go | func (fn Function) LaunchAndSync(gridDimX, gridDimY, gridDimZ, blockDimX, blockDimY, blockDimZ, sharedMemBytes int, stream Stream, kernelParams []unsafe.Pointer) error {
argv := C.malloc(C.size_t(len(kernelParams) * pointerSize))
argp := C.malloc(C.size_t(len(kernelParams) * pointerSize))
defer C.free(argv)
defer C.free(argp)
for i := range kernelParams {
*((*unsafe.Pointer)(offset(argp, i))) = offset(argv, i) // argp[i] = &argv[i]
*((*uint64)(offset(argv, i))) = *((*uint64)(kernelParams[i])) // argv[i] = *kernelParams[i]
}
err := result(C.cuLaunchAndSync(
fn.fn,
C.uint(gridDimX),
C.uint(gridDimY),
C.uint(gridDimZ),
C.uint(blockDimX),
C.uint(blockDimY),
C.uint(blockDimZ),
C.uint(sharedMemBytes),
stream.c(),
(*unsafe.Pointer)(argp),
(*unsafe.Pointer)(nil)))
return err
} | [
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] | // LaunchAndSync launches the kernel and synchronizes the context | [
"LaunchAndSync",
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batchedPatterns.go#L37-L60 |
5,471 | gorgonia/cu | batchedPatterns.go | AllocAndCopy | func AllocAndCopy(p unsafe.Pointer, bytesize int64) (DevicePtr, error) {
if bytesize == 0 {
return 0, errors.Wrapf(InvalidValue, "Cannot allocate memory with size 0")
}
var d C.CUdeviceptr
if err := result(C.cuAllocAndCopy(&d, p, C.size_t(bytesize))); err != nil {
return 0, errors.Wrapf(err, "AllocAndCopy")
}
return DevicePtr(d), nil
} | go | func AllocAndCopy(p unsafe.Pointer, bytesize int64) (DevicePtr, error) {
if bytesize == 0 {
return 0, errors.Wrapf(InvalidValue, "Cannot allocate memory with size 0")
}
var d C.CUdeviceptr
if err := result(C.cuAllocAndCopy(&d, p, C.size_t(bytesize))); err != nil {
return 0, errors.Wrapf(err, "AllocAndCopy")
}
return DevicePtr(d), nil
} | [
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] | // AllocAndCopy abstracts away the common pattern of allocating and then copying a Go slice to the GPU | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batchedPatterns.go#L63-L73 |
5,472 | gorgonia/cu | batch.go | NewBatchedContext | func NewBatchedContext(c Context, d Device) *BatchedContext {
return &BatchedContext{
Context: c,
Device: d,
workAvailable: make(chan struct{}, 1),
work: make(chan call, workBufLen),
queue: make([]call, 0, workBufLen),
fns: make([]C.uintptr_t, 0, workBufLen),
results: make([]C.CUresult, workBufLen),
frees: make([]unsafe.Pointer, 0, 2*workBufLen),
retVal: make(chan DevicePtr),
initialized: true,
}
} | go | func NewBatchedContext(c Context, d Device) *BatchedContext {
return &BatchedContext{
Context: c,
Device: d,
workAvailable: make(chan struct{}, 1),
work: make(chan call, workBufLen),
queue: make([]call, 0, workBufLen),
fns: make([]C.uintptr_t, 0, workBufLen),
results: make([]C.CUresult, workBufLen),
frees: make([]unsafe.Pointer, 0, 2*workBufLen),
retVal: make(chan DevicePtr),
initialized: true,
}
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L154-L168 |
5,473 | gorgonia/cu | batch.go | Run | func (ctx *BatchedContext) Run(errChan chan error) error {
runtime.LockOSThread()
defer runtime.UnlockOSThread()
for {
select {
case <-ctx.workAvailable:
ctx.DoWork()
if err := ctx.Errors(); err != nil {
if errChan == nil {
return err
}
errChan <- err
}
case w := <-ctx.Work():
ctx.ErrChan() <- w()
}
}
} | go | func (ctx *BatchedContext) Run(errChan chan error) error {
runtime.LockOSThread()
defer runtime.UnlockOSThread()
for {
select {
case <-ctx.workAvailable:
ctx.DoWork()
if err := ctx.Errors(); err != nil {
if errChan == nil {
return err
}
errChan <- err
}
case w := <-ctx.Work():
ctx.ErrChan() <- w()
}
}
} | [
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] | // Run manages the running of the BatchedContext. Because it's expected to run in a goroutine, an error channel is to be passed in | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L272-L290 |
5,474 | gorgonia/cu | batch.go | Cleanup | func (ctx *BatchedContext) Cleanup() {
for i, f := range ctx.frees {
C.free(f)
ctx.frees[i] = nil
}
ctx.frees = ctx.frees[:0]
} | go | func (ctx *BatchedContext) Cleanup() {
for i, f := range ctx.frees {
C.free(f)
ctx.frees[i] = nil
}
ctx.frees = ctx.frees[:0]
} | [
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] | // Cleanup is the cleanup function. It cleans up all the ancilliary allocations that has happened for all the batched calls.
// This method should be called when the context is done with - otherwise there'd be a lot of leaked memory.
//
// The main reason why this method exists is because there is no way to reliably free memory without causing weird issues in the CUDA calls. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L296-L302 |
5,475 | gorgonia/cu | batch.go | Close | func (ctx *BatchedContext) Close() error {
ctx.initialized = false
return ctx.Context.Close()
} | go | func (ctx *BatchedContext) Close() error {
ctx.initialized = false
return ctx.Context.Close()
} | [
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] | // Close closes the batched context | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L305-L308 |
5,476 | gorgonia/cu | batch.go | FirstError | func (ctx *BatchedContext) FirstError() error {
for i, v := range ctx.results {
if cuResult(v) != Success {
return result(v)
}
ctx.results[i] = C.CUDA_SUCCESS
}
return nil
} | go | func (ctx *BatchedContext) FirstError() error {
for i, v := range ctx.results {
if cuResult(v) != Success {
return result(v)
}
ctx.results[i] = C.CUDA_SUCCESS
}
return nil
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L314-L322 |
5,477 | gorgonia/cu | batch.go | SetCurrent | func (ctx *BatchedContext) SetCurrent() {
fn := &fnargs{
fn: C.fn_setCurrent,
ctx: ctx.CUDAContext().ctx,
}
c := call{fn, false}
ctx.enqueue(c)
} | go | func (ctx *BatchedContext) SetCurrent() {
fn := &fnargs{
fn: C.fn_setCurrent,
ctx: ctx.CUDAContext().ctx,
}
c := call{fn, false}
ctx.enqueue(c)
} | [
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] | // SetCurrent sets the current context. This is usually unnecessary because SetCurrent will be called before batch processing the calls. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L325-L332 |
5,478 | gorgonia/cu | batch.go | MemAlloc | func (ctx *BatchedContext) MemAlloc(bytesize int64) (retVal DevicePtr, err error) {
fn := &fnargs{
fn: C.fn_mallocD,
size: C.size_t(bytesize),
}
c := call{fn, true}
return ctx.enqueue(c)
} | go | func (ctx *BatchedContext) MemAlloc(bytesize int64) (retVal DevicePtr, err error) {
fn := &fnargs{
fn: C.fn_mallocD,
size: C.size_t(bytesize),
}
c := call{fn, true}
return ctx.enqueue(c)
} | [
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"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L335-L342 |
5,479 | gorgonia/cu | batch.go | errors | func (ctx *BatchedContext) errors() error {
if !ctx.checkResults() {
return nil
}
err := make(errorSlice, len(ctx.results))
for i, res := range ctx.results {
err[i] = result(res)
}
return err
} | go | func (ctx *BatchedContext) errors() error {
if !ctx.checkResults() {
return nil
}
err := make(errorSlice, len(ctx.results))
for i, res := range ctx.results {
err[i] = result(res)
}
return err
} | [
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] | // errors convert ctx.results into errors | [
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"results",
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"errors"
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L470-L479 |
5,480 | gorgonia/cu | batch.go | introspect | func (ctx *BatchedContext) introspect() string {
var buf bytes.Buffer
fmt.Fprintf(&buf, "Queue: %d", len(ctx.queue))
for _, v := range ctx.queue {
fmt.Fprintf(&buf, "\n\t[QUEUE] %s", v.fnargs)
}
return buf.String()
} | go | func (ctx *BatchedContext) introspect() string {
var buf bytes.Buffer
fmt.Fprintf(&buf, "Queue: %d", len(ctx.queue))
for _, v := range ctx.queue {
fmt.Fprintf(&buf, "\n\t[QUEUE] %s", v.fnargs)
}
return buf.String()
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/batch.go#L482-L489 |
5,481 | gorgonia/cu | dnn/generated_lrn.go | NewLRN | func NewLRN(lrnN uint, lrnAlpha float64, lrnBeta float64, lrnK float64) (retVal *LRN, err error) {
var internal C.cudnnLRNDescriptor_t
if err := result(C.cudnnCreateLRNDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetLRNDescriptor(internal, C.uint(lrnN), C.double(lrnAlpha), C.double(lrnBeta), C.double(lrnK))); err != nil {
return nil, err
}
retVal = &LRN{
internal: internal,
lrnN: lrnN,
lrnAlpha: lrnAlpha,
lrnBeta: lrnBeta,
lrnK: lrnK,
}
runtime.SetFinalizer(retVal, destroyLRN)
return retVal, nil
} | go | func NewLRN(lrnN uint, lrnAlpha float64, lrnBeta float64, lrnK float64) (retVal *LRN, err error) {
var internal C.cudnnLRNDescriptor_t
if err := result(C.cudnnCreateLRNDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetLRNDescriptor(internal, C.uint(lrnN), C.double(lrnAlpha), C.double(lrnBeta), C.double(lrnK))); err != nil {
return nil, err
}
retVal = &LRN{
internal: internal,
lrnN: lrnN,
lrnAlpha: lrnAlpha,
lrnBeta: lrnBeta,
lrnK: lrnK,
}
runtime.SetFinalizer(retVal, destroyLRN)
return retVal, nil
} | [
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"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_lrn.go#L20-L39 |
5,482 | gorgonia/cu | addressing.go | PtrAttribute | func (d DevicePtr) PtrAttribute(attr PointerAttribute) (unsafe.Pointer, error) {
var p unsafe.Pointer
devPtr := C.CUdeviceptr(d)
a := C.CUpointer_attribute(attr)
if err := result(C.cuPointerGetAttribute(p, a, devPtr)); err != nil {
return nil, err
}
return p, nil
} | go | func (d DevicePtr) PtrAttribute(attr PointerAttribute) (unsafe.Pointer, error) {
var p unsafe.Pointer
devPtr := C.CUdeviceptr(d)
a := C.CUpointer_attribute(attr)
if err := result(C.cuPointerGetAttribute(p, a, devPtr)); err != nil {
return nil, err
}
return p, nil
} | [
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"}",
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"nil",
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] | // PtrAttribute returns information about a pointer. | [
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"pointer",
"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/addressing.go#L90-L98 |
5,483 | gorgonia/cu | instrumentation.go | AverageQueueLength | func AverageQueueLength() int {
ql.Lock()
var s int
for _, l := range q {
s += l
}
avg := s / len(q) // yes, it's an integer division
ql.Unlock()
return avg
} | go | func AverageQueueLength() int {
ql.Lock()
var s int
for _, l := range q {
s += l
}
avg := s / len(q) // yes, it's an integer division
ql.Unlock()
return avg
} | [
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] | // AverageQueueLength returns the average queue length recorded. This allows for optimizations. | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/instrumentation.go#L47-L56 |
5,484 | gorgonia/cu | dnn/generated_ctcloss.go | NewCTCLoss | func NewCTCLoss(compType DataType) (retVal *CTCLoss, err error) {
var internal C.cudnnCTCLossDescriptor_t
if err := result(C.cudnnCreateCTCLossDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetCTCLossDescriptor(internal, compType.C())); err != nil {
return nil, err
}
retVal = &CTCLoss{
internal: internal,
compType: compType,
}
runtime.SetFinalizer(retVal, destroyCTCLoss)
return retVal, nil
} | go | func NewCTCLoss(compType DataType) (retVal *CTCLoss, err error) {
var internal C.cudnnCTCLossDescriptor_t
if err := result(C.cudnnCreateCTCLossDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetCTCLossDescriptor(internal, compType.C())); err != nil {
return nil, err
}
retVal = &CTCLoss{
internal: internal,
compType: compType,
}
runtime.SetFinalizer(retVal, destroyCTCLoss)
return retVal, nil
} | [
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"CTCLoss",
"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/generated_ctcloss.go#L17-L33 |
5,485 | gorgonia/cu | ctx_debug.go | NewContext | func NewContext(d Device, flags ContextFlags) *Ctx {
var cctx C.CUcontext
err := result(C.cuCtxCreate(&cctx, C.uint(flags), C.CUdevice(d)))
if err != nil {
panic(err)
}
ctx := newContext(makeContext(cctx))
ctx.device = d
ctx.flags = flags
errChan := make(chan error)
go ctx.Run(errChan)
if err := <-errChan; err != nil {
panic(err)
}
return ctx
} | go | func NewContext(d Device, flags ContextFlags) *Ctx {
var cctx C.CUcontext
err := result(C.cuCtxCreate(&cctx, C.uint(flags), C.CUdevice(d)))
if err != nil {
panic(err)
}
ctx := newContext(makeContext(cctx))
ctx.device = d
ctx.flags = flags
errChan := make(chan error)
go ctx.Run(errChan)
if err := <-errChan; err != nil {
panic(err)
}
return ctx
} | [
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] | // NewContext creates a new context, and runs a listener locked to an OSThread. All work is piped through that goroutine | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/ctx_debug.go#L25-L42 |
5,486 | gorgonia/cu | module.go | LoadData | func LoadData(image string) (Module, error) {
var mod Module
cstr := C.CString(image)
defer C.free(unsafe.Pointer(cstr))
err := result(C.cuModuleLoadData(&mod.mod, unsafe.Pointer(cstr)))
return mod, err
} | go | func LoadData(image string) (Module, error) {
var mod Module
cstr := C.CString(image)
defer C.free(unsafe.Pointer(cstr))
err := result(C.cuModuleLoadData(&mod.mod, unsafe.Pointer(cstr)))
return mod, err
} | [
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] | // LoadData loads a module from a input string. | [
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"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/module.go#L32-L38 |
5,487 | gorgonia/cu | module.go | LoadDataEx | func LoadDataEx(image string, options ...JITOption) (Module, error) {
var mod Module
cstr := C.CString(image)
defer C.free(unsafe.Pointer(cstr))
argcount, args, argvals := encodeArguments(options)
err := result(C.cuModuleLoadDataEx(&mod.mod, unsafe.Pointer(cstr), argcount, args, argvals))
return mod, err
} | go | func LoadDataEx(image string, options ...JITOption) (Module, error) {
var mod Module
cstr := C.CString(image)
defer C.free(unsafe.Pointer(cstr))
argcount, args, argvals := encodeArguments(options)
err := result(C.cuModuleLoadDataEx(&mod.mod, unsafe.Pointer(cstr), argcount, args, argvals))
return mod, err
} | [
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"string",
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/module.go#L41-L49 |
5,488 | gorgonia/cu | module.go | LoadFatBinary | func LoadFatBinary(image string) (Module, error) {
var mod Module
cstr := C.CString(image)
defer C.free(unsafe.Pointer(cstr))
err := result(C.cuModuleLoadFatBinary(&mod.mod, unsafe.Pointer(cstr)))
return mod, err
} | go | func LoadFatBinary(image string) (Module, error) {
var mod Module
cstr := C.CString(image)
defer C.free(unsafe.Pointer(cstr))
err := result(C.cuModuleLoadFatBinary(&mod.mod, unsafe.Pointer(cstr)))
return mod, err
} | [
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"input",
"string",
"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/module.go#L52-L58 |
5,489 | gorgonia/cu | module.go | Function | func (m Module) Function(name string) (Function, error) {
var fn Function
cstr := C.CString(name)
defer C.free(unsafe.Pointer(cstr))
err := result(C.cuModuleGetFunction(&fn.fn, m.mod, cstr))
return fn, err
} | go | func (m Module) Function(name string) (Function, error) {
var fn Function
cstr := C.CString(name)
defer C.free(unsafe.Pointer(cstr))
err := result(C.cuModuleGetFunction(&fn.fn, m.mod, cstr))
return fn, err
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/module.go#L61-L67 |
5,490 | gorgonia/cu | module.go | Global | func (m Module) Global(name string) (DevicePtr, int64, error) {
var d C.CUdeviceptr
var size C.size_t
cstr := C.CString(name)
defer C.free(unsafe.Pointer(cstr))
if err := result(C.cuModuleGetGlobal(&d, &size, m.mod, cstr)); err != nil {
return 0, 0, err
}
return DevicePtr(d), int64(size), nil
} | go | func (m Module) Global(name string) (DevicePtr, int64, error) {
var d C.CUdeviceptr
var size C.size_t
cstr := C.CString(name)
defer C.free(unsafe.Pointer(cstr))
if err := result(C.cuModuleGetGlobal(&d, &size, m.mod, cstr)); err != nil {
return 0, 0, err
}
return DevicePtr(d), int64(size), nil
} | [
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/module.go#L70-L79 |
5,491 | gorgonia/cu | jit.go | NewLink | func NewLink(options ...JITOption) (*LinkState, error) {
link := &LinkState{}
argcount, args, argvals := link.encodeArguments(options)
err := result(C.cuLinkCreate(argcount, args, argvals, &link.state))
return link, err
} | go | func NewLink(options ...JITOption) (*LinkState, error) {
link := &LinkState{}
argcount, args, argvals := link.encodeArguments(options)
err := result(C.cuLinkCreate(argcount, args, argvals, &link.state))
return link, err
} | [
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] | // Creates a pending JIT linker invocation. | [
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"a",
"pending",
"JIT",
"linker",
"invocation",
"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/jit.go#L190-L196 |
5,492 | gorgonia/cu | jit.go | AddData | func (link *LinkState) AddData(input JITInputType, data string, name string, options ...JITOption) error {
argcount, args, argvals := link.encodeArguments(options)
cname := C.CString(name)
bytes := []byte(data)
err := result(C.cuLinkAddData(
link.state, C.CUjitInputType(input),
unsafe.Pointer(&bytes[0]), C.size_t(len(bytes)),
cname,
argcount, args, argvals,
))
C.free(unsafe.Pointer(cname))
return err
} | go | func (link *LinkState) AddData(input JITInputType, data string, name string, options ...JITOption) error {
argcount, args, argvals := link.encodeArguments(options)
cname := C.CString(name)
bytes := []byte(data)
err := result(C.cuLinkAddData(
link.state, C.CUjitInputType(input),
unsafe.Pointer(&bytes[0]), C.size_t(len(bytes)),
cname,
argcount, args, argvals,
))
C.free(unsafe.Pointer(cname))
return err
} | [
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] | // Add an input to a pending linker invocation | [
"Add",
"an",
"input",
"to",
"a",
"pending",
"linker",
"invocation"
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/jit.go#L223-L236 |
5,493 | gorgonia/cu | jit.go | AddFile | func (link *LinkState) AddFile(input JITInputType, path string, options ...JITOption) error {
argcount, args, argvals := link.encodeArguments(options)
cpath := C.CString(path)
err := result(C.cuLinkAddFile(
link.state, C.CUjitInputType(input),
cpath,
argcount, args, argvals,
))
C.free(unsafe.Pointer(cpath))
return err
} | go | func (link *LinkState) AddFile(input JITInputType, path string, options ...JITOption) error {
argcount, args, argvals := link.encodeArguments(options)
cpath := C.CString(path)
err := result(C.cuLinkAddFile(
link.state, C.CUjitInputType(input),
cpath,
argcount, args, argvals,
))
C.free(unsafe.Pointer(cpath))
return err
} | [
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"Add",
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"input",
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"linker",
"invocation"
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/jit.go#L239-L250 |
5,494 | gorgonia/cu | jit.go | Complete | func (link *LinkState) Complete() (string, error) {
var data unsafe.Pointer
var datasize C.size_t
err := result(C.cuLinkComplete(link.state, &data, &datasize))
if err != nil {
return "", err
}
size := int(datasize)
buffer := make([]byte, size)
copy(buffer, (*[20 << 30]byte)(data)[:size])
return string(buffer), nil
} | go | func (link *LinkState) Complete() (string, error) {
var data unsafe.Pointer
var datasize C.size_t
err := result(C.cuLinkComplete(link.state, &data, &datasize))
if err != nil {
return "", err
}
size := int(datasize)
buffer := make([]byte, size)
copy(buffer, (*[20 << 30]byte)(data)[:size])
return string(buffer), nil
} | [
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"]",
")",
"\n\n",
"return",
"string",
"(",
"buffer",
")",
",",
"nil",
"\n",
"}"
] | // Complete a pending linker invocation | [
"Complete",
"a",
"pending",
"linker",
"invocation"
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/jit.go#L253-L267 |
5,495 | gorgonia/cu | cmd/gencudnn/parse.go | functions | func functions(decl *cc.Declarator) bool {
if !strings.HasPrefix(bindgen.NameOf(decl), "cudnn") {
return false
}
if decl.Type.Kind() == cc.Function {
return true
}
return false
} | go | func functions(decl *cc.Declarator) bool {
if !strings.HasPrefix(bindgen.NameOf(decl), "cudnn") {
return false
}
if decl.Type.Kind() == cc.Function {
return true
}
return false
} | [
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"cc",
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"{",
"return",
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"\n",
"}",
"\n",
"return",
"false",
"\n\n",
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] | // Functions returns the C function declarations in the givel set of file paths. | [
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"function",
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"in",
"the",
"givel",
"set",
"of",
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] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/cmd/gencudnn/parse.go#L12-L21 |
5,496 | gorgonia/cu | cmd/gencudnn/parse.go | goNameOfStr | func goNameOfStr(n string) (retVal string) {
var ok bool
defer func() {
retVal = reqPtr(retVal)
}()
if retVal, ok = ctypes2GoTypes[n]; ok {
return retVal
}
if retVal, ok = enumMappings[n]; ok {
return retVal
}
if retVal, ok = builtins[n]; ok {
return retVal
}
if retVal, ok = nonPrimitives[n]; ok {
return retVal
}
return ""
} | go | func goNameOfStr(n string) (retVal string) {
var ok bool
defer func() {
retVal = reqPtr(retVal)
}()
if retVal, ok = ctypes2GoTypes[n]; ok {
return retVal
}
if retVal, ok = enumMappings[n]; ok {
return retVal
}
if retVal, ok = builtins[n]; ok {
return retVal
}
if retVal, ok = nonPrimitives[n]; ok {
return retVal
}
return ""
} | [
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"ok",
"{",
"return",
"retVal",
"\n",
"}",
"\n\n",
"return",
"\"",
"\"",
"\n",
"}"
] | // same as above, but given a c name type in string | [
"same",
"as",
"above",
"but",
"given",
"a",
"c",
"name",
"type",
"in",
"string"
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/cmd/gencudnn/parse.go#L190-L209 |
5,497 | gorgonia/cu | dnn/rnn.go | NewRNN | func (handle *Context) NewRNN(hiddenSize int, numLayers int, dropout *Dropout, inputMode RNNInputMode, direction DirectionMode, mode RNNMode, algo RNNAlgo, dataType DataType) (retVal *RNN, err error) {
var internal C.cudnnRNNDescriptor_t
if err := result(C.cudnnCreateRNNDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetRNNDescriptor(handle.internal, internal, C.int(hiddenSize), C.int(numLayers), dropout.internal, inputMode.C(), direction.C(), mode.C(), algo.C(), dataType.C())); err != nil {
return nil, err
}
retVal = &RNN{
internal: internal,
hiddenSize: hiddenSize,
layers: numLayers,
dropoutDescriptor: dropout,
inputMode: inputMode,
directionMode: direction,
mode: mode,
algo: algo,
dataType: dataType,
matrixMathType: DefaultMath,
}
runtime.SetFinalizer(retVal, destroyRNN)
return retVal, nil
} | go | func (handle *Context) NewRNN(hiddenSize int, numLayers int, dropout *Dropout, inputMode RNNInputMode, direction DirectionMode, mode RNNMode, algo RNNAlgo, dataType DataType) (retVal *RNN, err error) {
var internal C.cudnnRNNDescriptor_t
if err := result(C.cudnnCreateRNNDescriptor(&internal)); err != nil {
return nil, err
}
if err := result(C.cudnnSetRNNDescriptor(handle.internal, internal, C.int(hiddenSize), C.int(numLayers), dropout.internal, inputMode.C(), direction.C(), mode.C(), algo.C(), dataType.C())); err != nil {
return nil, err
}
retVal = &RNN{
internal: internal,
hiddenSize: hiddenSize,
layers: numLayers,
dropoutDescriptor: dropout,
inputMode: inputMode,
directionMode: direction,
mode: mode,
algo: algo,
dataType: dataType,
matrixMathType: DefaultMath,
}
runtime.SetFinalizer(retVal, destroyRNN)
return retVal, nil
} | [
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"(",
"retVal",
",",
"destroyRNN",
")",
"\n",
"return",
"retVal",
",",
"nil",
"\n",
"}"
] | // NewRNN creates a new RNN. | [
"NewRNN",
"creates",
"a",
"new",
"RNN",
"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/rnn.go#L61-L86 |
5,498 | gorgonia/cu | dnn/dropout.go | NewDropout | func NewDropout(dropout float64) (retVal *Dropout, err error) {
var internal C.cudnnDropoutDescriptor_t
if err := result(C.cudnnCreateDropoutDescriptor(&internal)); err != nil {
return nil, err
}
retVal = &Dropout{
internal: internal,
dropout: float32(dropout),
}
runtime.SetFinalizer(retVal, destroyDropout)
return retVal, nil
} | go | func NewDropout(dropout float64) (retVal *Dropout, err error) {
var internal C.cudnnDropoutDescriptor_t
if err := result(C.cudnnCreateDropoutDescriptor(&internal)); err != nil {
return nil, err
}
retVal = &Dropout{
internal: internal,
dropout: float32(dropout),
}
runtime.SetFinalizer(retVal, destroyDropout)
return retVal, nil
} | [
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"\n",
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"retVal",
",",
"nil",
"\n",
"}"
] | // NewDropout creates a Dropout descriptor. It is not usable by default because some additional stateful information needs to be passed in | [
"NewDropout",
"creates",
"a",
"Dropout",
"descriptor",
".",
"It",
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"by",
"default",
"because",
"some",
"additional",
"stateful",
"information",
"needs",
"to",
"be",
"passed",
"in"
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/dropout.go#L35-L46 |
5,499 | gorgonia/cu | dnn/dropout.go | Use | func (d *Dropout) Use(ctx *Context, states Memory, stateSizeInBytes uintptr, seed uint64) error {
d.handle = ctx
d.states = states
d.stateSizeInBytes = stateSizeInBytes
d.seed = seed
return result(C.cudnnSetDropoutDescriptor(d.internal, d.handle.internal, C.float(d.dropout), unsafe.Pointer(d.states.Uintptr()), C.size_t(d.stateSizeInBytes), C.ulonglong(d.seed)))
} | go | func (d *Dropout) Use(ctx *Context, states Memory, stateSizeInBytes uintptr, seed uint64) error {
d.handle = ctx
d.states = states
d.stateSizeInBytes = stateSizeInBytes
d.seed = seed
return result(C.cudnnSetDropoutDescriptor(d.internal, d.handle.internal, C.float(d.dropout), unsafe.Pointer(d.states.Uintptr()), C.size_t(d.stateSizeInBytes), C.ulonglong(d.seed)))
} | [
"func",
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"d",
"*",
"Dropout",
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"Use",
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",",
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".",
"ulonglong",
"(",
"d",
".",
"seed",
")",
")",
")",
"\n",
"}"
] | // Use is the second stage of the two-stage API. | [
"Use",
"is",
"the",
"second",
"stage",
"of",
"the",
"two",
"-",
"stage",
"API",
"."
] | 89152d7e441439045736bc7640ff607ec371c26c | https://github.com/gorgonia/cu/blob/89152d7e441439045736bc7640ff607ec371c26c/dnn/dropout.go#L58-L65 |
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