How to generate schedule

最新推荐文章于 2025-05-18 00:40:54 发布
最新推荐文章于 2025-05-18 00:40:54 发布 · 121 阅读 · 0
文章标签：

#SQL #C #C++ #C#

本文介绍了一个具体的数据库操作流程，包括使用正确的参数运行SQL脚本、完成预算预测导入、部门工作负载任务导入及收入单位预测导入等三项任务，并依据Generateschedule_Official.xls文件指示继续执行剩余任务。此外还提到了预测依赖于前一周的数据以及计划安排依赖于本周预测。

1.run the sql script with the correct parameter

sqlplus -s dbuser/dbpass@SID @lasddl.sql LOCATION_NAME DATE

2.finish following 3 tasks:

a.Budget Forecast Import
b. Dept Wrkld Tasks Import
c. Revenue Unit Projections Import

3.run the left  tasks follow the Generate schedule_Official.xls

begin with step2

 

memo:

forcasting depends on last week forcasting

and the schedule depends on this week's forcasting!

Python, C ++ are used to develop the app of “how to organize the activities ”
2501_90802096的博客
05-18 382
``mermaidgraph TD``````pythontitle: str``````pythonreturn [``````cpppublic:});private:``````cpppublic:});```
Python, C ++ are applicated to develop the app “how to bethe professional guys in thefield
2501_90802096的博客
05-21 664
-----------------------**---
How to prepare for a business trip?
程永强
03-29 949
How to prepare for a business trip?
How to generate the complex data regularly to Ministry of Transport of P.R.C by DB Query Analyzer
《万能数据库查询分析器》创作人
06-17 7827
Considering the complex of the data required by Ministry of Transport of P.R.C every period of ten days, I design the following algorithm to generate the data required.
How to generate idoc output for delivery schedule release of MM SA
Tim.Tang's Blog
11-18 178
Prerequisite: The MM SA has been created and the related output control also has been set up correctly.   Steps: 1. Run trx ME38 to create/ change delivery schedule lines 2. Run trx ME84 to creat...
How to Guides -- How to optimize convolution on GPU
zachariah2000的博客
03-20 350
Author: Haichen Shen 在本教程中，我们将演示如何在 TVM 中编写高性能卷积实现。 我们以正方形大小的输入张量和滤波器为例，并假设卷积的输入具有大批量。 在此示例中，我们使用不同的布局来存储数据，以实现更好的数据局部性。 缓冲区布局是HWCN，代表高度、宽度、通道、批次。 preparation and algorithm 我们对具有 256 个通道和 14 x 14 维度的输入张量使用固定大小。 批量大小为 256。卷积过滤器包含 512 个大小为 3 x 3 的过滤器。我们使用步幅大
How to prepare for an exhibition?
程永强
08-07 720
How to prepare for an exhibition?
How to do research?
gcyxf的专栏
04-16 1057
Curiosity (好奇心)，organization (组织能力)和meticulousness (谨小慎微)，这三个特征是researcher应该具备的。如果你尝试开始一个research project，那么发现、评估和归类资源并定义 完善和罗列资料将会帮助你写出一份具有总结性的报告。From WikiHow (Research Project)很不好意思的说，我已经做PhD一年了，导师非
How to install Apache Superset on Linux CentOS 7.9
BigDataSmallTeam 大数据小团队--蒙昭良的博客
01-24 3958
Linux: Root user updates the user’s password command: [root@iZ2zehb3zobkh31kn9cuo2Z ~]# whoami root [root@iZ2zehb3zobkh31kn9cuo2Z ~]# **passwd superset_user** Changing password for user superset_user. New password: Retype new password: passwd: all authen
How to schedule and get the report in SCOM2012
spiritpunk的专栏
10-22 217
Take schedule a health report as a sample like below: 1.Start SCOM2012 and choose Reporting console; 2.Navigate to Microsoft Generic Report Libary and chick Health report,Click the schedule link
How to improve software performance with NEON
weixin_30412577的博客
07-11 483
目录 How to improve software performance with NEON NEON Basics SIMD Introduction Registers Data Types Methods Using NE...
How to install Apache Superset Docker Image on Linux CentOS7 that without internet
BigDataSmallTeam 大数据小团队--蒙昭良的博客
03-16 3991
Step 1: Login Linux and check the CentOS version [root@bigdatasmallteam ~]# whoami root [root@bigdatasmallteam ~]# free total used free shared buff/cache available Mem: 16247588 1266648 11102236 27416
Python, C ++ are used to develop the app of “how to adjust our emotion with Buddhism ”
2501_90802096的博客
05-18 405
``mermaidgraph TDC <--> D``````python``````pythonreturn {``````cpppublic:i++) {));private:``````cpppublic:t<duration;private:
How to use script to get all Oracle EBS Concurrent Program/Report name and corresponding execution f
田攀的日志
09-03 1万+
How to use script to get all Oracle EBS Concurrent Program/Report name and corresponding execution file name SELECT fcp.concurrent_program_name,fcpt.user_concurrent_program_name,fcp.EXECUTION_METHOD_
Unity 【Content Size Fitter】- 聊天气泡自动适配Text文本框大小
当代野生程序猿
02-25 6795
通常在展示人物对话的时候文本的长度是不定的，因此会需要动态的调整对话内容文本框的背景图片的大小，这里以如下这种气泡框的对话为例： 实现该需求涉及到的内容包括Content Size Fitter组件的使用、2D Sprite工具包的使用。 Content Size Fitter组件用于Text文本框，如图所示，我们将Horzontal Fit设为Preferred Size，当我们调整Text文本框中的内容时，其大小会自动进行调整。 注意Rect Transform中Pivot轴心点的设置
新唐NUC972 Linux（一）：USB烧写linux出厂镜像
小破孩的博客
02-20 3830
USB烧写出厂镜像 文章目录USB烧写出厂镜像前言一、硬件连接二、安装驱动三、烧写linux程序四、运行程序 前言 今天开始进军linux，学了那么久单片机，也摸得七七八八，至少点个灯还是会的。本人之所以买酷客的linux开发板主要是便宜，资料也算齐全，虽然没有原子那么好，不过也够了，找那么多借口，其实就是qiong。今天先从USB烧录官方提供的linux相关程序到芯片开始吧。 一、硬件连接 1、连接电源线 2、RS232转USB，需要安装CH340驱动，用于在电脑串口超级终端中查看调试信息。 3、U
WeChall CTF Writeup（一）
weixin_43211186的博客
02-25 1843
以下题目标题组成： [Score] [Title] [Author] 文章目录0x01 1 Training: Get Sourced by Gizmore0x02 1 Training: Stegano I by Gizmore0x03 1 Training: Crypto - Caesar I by Gizmore0x04 1 Training: WWW-Robots by Gizmore0x05 1 Training: ASCII by Gizmore 0x01 1 Training: Get Sou
C语言每日一练——第126天：佩奇借书问题
热门推荐
Edison's 小宇宙
02-25 2万+
史上最强借书方案问题讲解（代码详解+思路分析+动图演示+特性总结）
CS5261与CS5265功能应用|CS5261替代RTD2171|CS5265替代RTD2172
qq1659747718的博客
02-25 1591
CS5261可以完全替代兼容停产RTD2171,CS5265可以完全替代兼容RTD2172，芯片单价低，整体方案设计简单，整体BOM成本较RTD2171、RTD2172低。
class cuda: # CUDA arch to use for CUDA template kernel compilation. # e.g. "70", "75", "80", "90", etc. # When arch is None, Inductor uses torch.cuda.get_device_capability(0). arch: Optional[str] = None # CUDA version to use for CUDA template kernel compilation. # e.g. "11.4", "12.1", etc. # When version is None, Inductor uses torch.version.cuda. version: Optional[str] = None # Optimization level for the host compiler. compile_opt_level: Literal["-O0", "-O1", "-O2", "-O3", "-OS"] = "-O1" # Whether to enable device LTO (link-time-optimization). enable_cuda_lto = False # Whether to keep intermediate files dring compilation. enable_ptxas_info = False # Whether to enable debug info, e.g. line number, cutlass debug info. enable_debug_info = False # Whether to use fast math. use_fast_math = False # Path to the CUTLASS repo root directory. # The default path only works under PyTorch local development environment. cutlass_dir = os.environ.get( "TORCHINDUCTOR_CUTLASS_DIR", os.path.abspath( os.path.join(os.path.dirname(torch.__file__), "../third_party/cutlass/") ), ) # Configures the maximum number of CUTLASS configs to profile in max_autotune. # By default it's None, so that all CUTLASS configs are tuned. # This is mainly used to reduce test time in CI. cutlass_max_profiling_configs: Optional[int] = None # The L2 swizzle values to consider when profiling CUTLASS configs in max_autotune. cutlass_max_profiling_swizzle_options: list[int] = [1, 2, 4] # Path to CUDA NVCC. # NVCC search order: # 1) cuda_cxx set in this config # 2) CUDACXX environment variable # 3) CUDA_HOME environment variable # 4) default system search PATH. cuda_cxx: Optional[str] = None # Minimum value of M*N*K to consider the CUTLASS backend for GEMM ops. cutlass_backend_min_gemm_size: int = 1 # enable generation of inline standalone runner in CUDA CPP generated code # which allows to compile the generated code into a standalone executable. generate_test_runner: bool = ( os.environ.get("INDUCTOR_CUDA_BACKEND_GENERATE_TEST_RUNNER_CODE", "0") == "1" ) # Keep only Cutlass op configs which contain this regular expression pattern # Set this to "warpspecialized_cooperative_epi_tma" to enable only SM90 TMA Cutlass Kernels for large GEMMs cutlass_op_allowlist_regex: Optional[str] = os.environ.get( "TORCHINDUCTOR_CUTLASS_ALLOWLIST" ) # Note: Names of Cutlass ops names can be obtained by calling # op.configuration_name() on a Cutlass op instance, for example those # returned from cutlass_utils.gen_ops() or the op argument passed to # CUTLASSGemmTemplate.render(...) # Filter Cutlass configs which contain this regular expression pattern # Set this to "pingpong" to avoid numerical issues # caused by the op ordering of the "pingpong" memory access # pattern used by some Cutlass Kernels. cutlass_op_denylist_regex: Optional[str] = os.environ.get( "TORCHINDUCTOR_CUTLASS_DENYLIST" ) # Non-negative integer which determines how many kernels are instantiated. # 0 = 0000 generates the fewest kernels, 9999 generates all possible combinations. # increasing first digit reduces schedule / mixed type pruning, # increasing second digit generates more cluster sizes, # increasing third digit generates more MMA multipliers, # increasing fourth digit generates more instruction shapes. cutlass_instantiation_level: str = os.environ.get( "TORCHINDUCTOR_CUTLASS_INSTANTIATION_LEVEL", "0" )
最新发布
06-12
✅ 方案：通过 `-forward-unknown-to-host-compiler` 传递主机编译器参数。 --- ### **进阶工具** - **NSight Compute**：分析kernel性能瓶颈（指令级优化） - **`nvprof`/`ncu`**：检测寄存器溢出（`local_mem_...
评论
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值