tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1

tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1

@echo off

if DEFINED JAVA_HOME goto cont

:err
ECHO JAVA_HOME environment variable must be set! 1>&2
EXIT /B 1 

:cont
set SCRIPT_DIR=%~dp0
for %%I in ("%SCRIPT_DIR%..") do set FESS_HOME=%%~dpfI


REM ***** JAVA options *****

if "%FESS_MIN_MEM%" == "" (
set FESS_MIN_MEM=256m
)

if "%FESS_MAX_MEM%" == "" (
set FESS_MAX_MEM=1g
)

if NOT "%FESS_HEAP_SIZE%" == "" (
set FESS_MIN_MEM=%FESS_HEAP_SIZE%

#!/bin/sh

FESS_CLASSPATH=$FESS_HOME/lib/classes

# JAVA_OPTS is not a built-in JVM mechanism but some people think it is so we
# warn them that we are not observing the value of $JAVA_OPTS
if [ ! -z "$JAVA_OPTS" ]; then
  echo -n "warning: ignoring JAVA_OPTS=$JAVA_OPTS; "
  echo "pass JVM parameters via FESS_JAVA_OPTS"
fi

if [ "x$FESS_MIN_MEM" = "x" ]; then
    FESS_MIN_MEM=256m
fi
if [ "x$FESS_MAX_MEM" = "x" ]; then
    FESS_MAX_MEM=2g

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version

# Abhängigkeiten in Pfadoperation-Dekoratoren { #dependencies-in-path-operation-decorators }

Manchmal benötigen Sie den Rückgabewert einer Abhängigkeit innerhalb Ihrer *Pfadoperation-Funktion* nicht wirklich.

Oder die Abhängigkeit gibt keinen Wert zurück.

Aber Sie müssen sie trotzdem ausführen/auflösen.

Sebastián Ramírez <******@****.***> 1731896744 +0100

Sebastián Ramírez <******@****.***> 1731896744 +0100

# Dependencias en decoradores de *path operation* { #dependencies-in-path-operation-decorators }

En algunos casos realmente no necesitas el valor de retorno de una dependencia dentro de tu *path operation function*.

O la dependencia no devuelve un valor.

Pero aún necesitas que sea ejecutada/resuelta.

# Dependências em decoradores de operações de rota { #dependencies-in-path-operation-decorators }

Em alguns casos você não precisa necessariamente retornar o valor de uma dependência dentro de uma *função de operação de rota*.

Ou a dependência não retorna nenhum valor.

Mas você ainda precisa que ela seja executada/resolvida.