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Author Archives: tim
Intel 14700K
This is a new computer build. Some facts on the CPU: it is currently #89 on PassMark [53,737] cpubenchmark.net, with a turbo speed of 5.6 GHz and TDP of 125W to 253W. It is 20 cores/28 threads, first seen Q4 … Continue reading
Posted in Computer Builds
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Better pattern for @Autowired
Just ran across this in a video about Spring Boot by Frank Moley and I thought it deserved a callout. When creating your Beans (e.g. Controller), you can either: @RestController() public class ItemController { @Autowired; private ItemService itemService; Or you … Continue reading
Posted in Software Project, Uncategorized
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Argo CD notes
Argo CD (github source) is a Continuous Delivery tool done “GitOps” style. Here, that means keeping all of your (Kubernetes) application definitions and configurations under source code control (git). Assuming you follow GitOps CI/CD best practices of separate repositories (one … Continue reading
Posted in Software Engineering
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Add HTTPS lock to AWS S3
The goal was to change the “Not secure” banner to the little lock (aka enable https) for timtiemens.com. Previously, that site was hosted using only AWS S3 – which does not support “https”. This is the documentation for the final … Continue reading
Posted in Software Project
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Design Problem from Tic Tac Toe
It is fascinating how quickly a simple problem can escalate to a very difficult design problem. Here are the major pieces needed to frame one of these difficult problems in Tic Tac Toe: CellValue : X, O, EMPTY Board : … Continue reading
Posted in Software Engineering, Software Project
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compute_total_loss
You’re here because you can’t get the unit tests for the Coursera Improving Deep Neural Networks course, Week 3, exercise number 1, to pass. You are trying to correctly implement def compute_total_loss(logits, labels): And the unit test keeps failing with … Continue reading
Posted in Machine Learning
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Teraflops Comparison
Documenting some various GPU hardware Name TFLOPssingle precision TFLOPStensor perf (FP16) TFLOPS(FP16-Sparse) Tensorcores CUDA cores RAM RTX 3080Ti 34.1 136 273 320 10,240 12 GB V100 (specs) 14 112 640 5,120 16 GB RTX3070 20.31 184 5,888 8 GB GTX … Continue reading
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AWS EC2 GPU instance comparison
These are the results from running the ml-style-transfer project on three different AWS EC2 instance types. Instance Name $Cost/hour 250 epochs 2,500 epochs 50,000 epochs p3.2xlarge $3.06 14s$0.0119 55s$0.0468 928s$0.7888 t2.large $0.093 849s$0.0219 14,676s$0.3791 293,520s(extrapolated)$7.5826 c5.4xlarge $0.68 221s$0.0417 2,152s$0.4065 43,040(extrapolated)$8.1298 … Continue reading
Posted in Hardware, Machine Learning
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Read, Do, Aha
This is a variation of “Be, Do, Have” (“Be, Do Have” == Be a photographer, Do take a bunch of photos, and then Have/Buy expensive equipment). It records my recent epiphany in Machine Learning. This variation is “Read, Do, Aha”. … Continue reading
Posted in Machine Learning
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Another Dell SFF
The goal of this machine was, well, it was basically too inexpensive to pass up. It was refurbished, from SJ Computers LLC. It arrived in a box that used the standard “conform to interior” expanding foam, and was very well … Continue reading
Posted in Computer Builds
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