Add LiteRT converted gcvit_tiny
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- model.tflite +3 -0
README.md
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---
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library_name: litert
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tags:
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- vision
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- image-classification
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datasets:
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- imagenet-1k
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---
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# gcvit_tiny
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Converted TIMM image classification model for LiteRT.
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- Source architecture: `gcvit_tiny`
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- Source checkpoint: `https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-morevit/gcvit_tiny_224_nvidia-ac783954.pth`
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- File: `model.tflite`
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- Input: `float32` tensor in NCHW layout, shape `[1, 3, 224, 224]`
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- Output: ImageNet-1K logits, shape `[1, 1000]`
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## Runtime Status
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- CPU smoke test: passed with LiteRT `CompiledModel`.
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- GPU delegation: currently blocked for this model by rank-5 tensor patterns in the GPU backend, mostly `RESHAPE`, `TRANSPOSE`, and related window/attention operations. The model is published as CPU-ready while GPU support is being improved.
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model.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2ca54b7f0875c778b27571ae09404546d1b3913fb5d8f36765858c9480bf95d
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size 136955488
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