必应词典为您提供Quantization-Type的释义,网络释义: 量化方式;量化类型;量化编码类型;
In the decoding method of the decoding method corresponding to the quantization error type according to the present invention, wireless video-on-demand (VOD) service using the Internet network,; For the input packet VOL (Video Object Layer) confirming that the start code is present and; If you...
MetalPerformanceShaders 名前空間の MetalPerformanceShaders.MPSCnnWeightsQuantizationType についての詳細をご確認ください。
MPSCNNWeightsQuantizationType Enumeration Options that specify the type of quantization used to generate unsigned integer weights. iOS 12.0+iPadOS 12.0+Mac Catalyst 13.0+macOS 10.14+tvOS 12.0+visionOS 1.0+ enumMPSCNNWeightsQuantizationType:UInt32, @uncheckedSendable ...
MPSCNNWeightsQuantizationType Options that specify the type of quantization used to generate unsigned integer weights. iOS 12.0+ iPadOS 12.0+ macOS 10.14+ Mac Catalyst 13.0+ tvOS 12.0+ visionOS 1.0+ enum MPSCNNWeightsQuantizationType : UInt32, @unchecked Sendable Topics Enumeration Cases case none...
Learn more about the MetalPerformanceShaders.MPSCnnWeightsQuantizationType in the MetalPerformanceShaders namespace.
Initalize quantization.type to fix msan error. copybara-service bot assigned grantjensen Nov 9, 2024 copybara-service bot force-pushed the exported_pr_694675980 branch from b7ce608 to ad3ca8e Compare November 9, 2024 01:16 copybara-service bot changed the title Initalize quantization.type to...
本文整理了Java中jj2000.j2k.quantization.QuantTypeSpec.getSpec方法的一些代码示例,展示了QuantTypeSpec.getSpec的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。QuantTypeSpec.getSpec方法的具体详情如下: ...
包路径:jj2000.j2k.quantization.QuantTypeSpec类名称:QuantTypeSpec方法名:isCompSpecified QuantTypeSpec.isCompSpecified介绍 暂无 代码示例 代码示例来源:origin: edu.ucar/jj2000 writeTileQCC(tileIdx,c); } else if(tileQCDwritten) { if(encSpec.qts.isCompSpecified(c) || encSpec.qsss.isComp...
"general.file_type":GGMLFileQuantizationType.MOSTLY_Q2_K, "general.name":"LLaMA v2", "general.quantization_version":2, "llama.attention.head_count":32, Expand DownExpand Up@@ -96,7 +98,7 @@ describe("gguf", () => { tensor_count:291n, ...