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Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.
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802
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Merge pull request #821 from google/lsc-1771431915.961169
7f8ec41View on GitHubPin Yosys to 0.29 as workaround for Nexus flow (Yosys #4081).
a3b0e4aView on GitHubPin Yosys to be compatible with current latest plugins.
6401347View on GitHubPin the Yosys package to a version compatible with the F4PGA Yosys plugins.
090397dView on GitHubMerge pull request #806 from tcal-x/fix_renode_integration
094d4e8View on GitHubFixes for breaking Renode changes that had blocked updates
56f7f75View on GitHubMerge pull request #807 from tcal-x/pin-renode-infra
011f00eView on GitHubMerge pull request #802 from google/embench_tflm_dse_updates
fb43f80View on GitHubAdd ability to change workload and check if reference / benchmark tests still passing during dse
e98b14fView on GitHubFix typo and add embench workloads to dse template Makefile
0799996View on GitHubTimer and print fixes for embench to match TFLM workload profiling
8df7140View on GitHub