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Tensorflow-upstream Alternatives
Similar projects and alternatives to tensorflow-upstream
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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The Triton Inference Server provides an optimized cloud and edge inferencing solution. (by triton-inference-server)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better tensorflow-upstream alternative or higher similarity.
tensorflow-upstream reviews and mentions
Posts with mentions or reviews of tensorflow-upstream.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-06.
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Disable "SetTensor/CopyTensor" console logging.
I tried to train another model using InceptionResNetV2 and the same issues happens. Also, this happens even using the model.predict() method if using the GPU. Probably this is an issue related to the AMD Radeon RX 6700 XT or some mine misconfiguration. System Inormation: ArchLinux 6.1.32-1-lts - AMD Radeon RX 6700 XT - gfx1031 Opened issues: - https://github.com/RadeonOpenCompute/ROCm/issues/2250 - https://github.com/ROCmSoftwarePlatform/tensorflow-upstream/issues/2125
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Intel Extension For TensorFlow Released - Provides Intel GPU Acceleration
AMD has had their ROCM Tensorflow port for quite a while now: https://github.com/ROCmSoftwarePlatform/tensorflow-upstream and it works pretty well on my RX 6800; unfortunately it's only compatible with Linux as the ROCm stack is built on top of the Linux kernel I believe
- Even if you don’t like AMD cards, you have to admit, they look really cool.
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New NVIDIA Open-Source Linux Kernel Graphics Driver Appears
I mean, tensorflow has a fork with ROCm support which is maintained by AMD https://github.com/ROCmSoftwarePlatform/tensorflow-upstream although I'm not entirely sure what you're AI workloads are specifically, I'm just throwing out tensorflow because it's popular. On the enterprise side they also have radeon instinct MI, although I assume you're probably not using enterprise HW but I wanted to throw it out there anyway.
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ROCm v5.0 released with official Navi 21 support
It might work, but will likely require building pytorch/tensorflow from source. I compiled both with ROCm 5.0 today, Pytorch is painless but TF required using this repo maintained by AMD instead
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AMD GPU for ML ?
I saw this https://github.com/ROCmSoftwarePlatform/tensorflow-upstream and I thought it could be a way. Do you think it is not stable and ready to be used ?
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AMD on the Brink of Taking Over the GPU Market for Linux Gamers (Q2 2021 Survey Results)
The repo exists: https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
- [D] Any issues with Ubuntu with dual boot and ROCM?
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Tensorflow with Radeon GPU
https://github.com/ROCmSoftwarePlatform/tensorflow-upstream#tensorflow-rocm-port
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Which version of ROCm and Tensorflow should I use?
I tried some case ROCm & Tensorflow-rocm as is on this page( tensorflow-upstream/tensorflow-rocm-release.md at develop-upstream · ROCmSoftwarePlatform/tensorflow-upstream · GitHub ), but I failed to run a simple CNN model with fashion-mnist datasets.
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A note from our sponsor - SaaSHub
www.saashub.com | 24 Apr 2024
Stats
Basic tensorflow-upstream repo stats
12
677
0.0
5 days ago
ROCm/tensorflow-upstream is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of tensorflow-upstream is C++.
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