95db34e389
* Update Japanese translation for Deeplearning4J UI (#8525) Signed-off-by: k-tamura <ktamura.biz.80@gmail.com> * RL4J: Remove processing done on observations in Policy & Async (#8471) * Removed processing from Policy.play() and fixed missing resets Signed-off-by: unknown <aboulang2002@yahoo.com> * Adjusted unit test to check if DQNs have been reset Signed-off-by: unknown <aboulang2002@yahoo.com> * Fixed a couple of problems, added and updated unit tests Signed-off-by: unknown <aboulang2002@yahoo.com> * Removed processing from AsyncThreadDiscrete Signed-off-by: unknown <aboulang2002@yahoo.com> * Fixed a few problems Signed-off-by: unknown <aboulang2002@yahoo.com> * python version bump * increase * RL4J: Replace gym-java-client with JavaCPP (#8595) * RL4J: Replace gym-java-client with JavaCPP Signed-off-by: Samuel Audet <samuel.audet@gmail.com> Co-authored-by: Kohei Tamura <ktamura.biz.80@gmail.com> Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com> Co-authored-by: Max Pumperla <max.pumperla@googlemail.com> Co-authored-by: Samuel Audet <samuel.audet@gmail.com>
25 lines
1.2 KiB
Plaintext
25 lines
1.2 KiB
Plaintext
train.system.title=システム詳細
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train.system.selectMachine=マシンを選択
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train.system.chart.memoryShort=メモリ
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train.system.chart.systemMemoryTitle=JVMとオフヒープのメモリ使用率
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train.system.chart.gpuMemoryTitle=GPUメモリ使用率
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train.system.chart.key.jvm=JVMメモリ
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train.system.chart.key.offHeap=オフヒープメモリ
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train.system.hwTable.title=ハードウェアの情報
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train.system.hwTable.jvmCurrent=JVM現在メモリ
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train.system.hwTable.jvmMax=JVM最大メモリ
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train.system.hwTable.offHeapCurrent=オフヒープ現在メモリ
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train.system.hwTable.offHeapMax=オフヒープ最大メモリ
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train.system.hwTable.jvmProcs=JVM使用可能プロセッサ
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train.system.hwTable.computeDevices=計算デバイス数
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train.system.hwTable.deviceMemory=デバイスメモリ
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train.system.hwTable.deviceName=デバイス名
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train.system.swTable.title=ソフトウェアの情報
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train.system.swTable.hostname=ホスト名
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train.system.swTable.os=OSの種類
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train.system.swTable.osArch=OSのアーキテクチャ
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train.system.swTable.jvmName=JVM名
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train.system.swTable.jvmVersion=JVMバージョン
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train.system.swTable.nd4jBackend=ND4Jバックエンド
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train.system.swTable.nd4jDataType=ND4Jデータ型
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