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google-bert-bert-base-multilingual-cased/QNN/README.md

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To run the config:
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```bash
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olive run --config config_qnn_gpu.json
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olive run --config config_gpu_fp32.json
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```
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✅ Optimized model saved in: `output/`

google-bert-bert-base-multilingual-cased/QNN/config_qnn_gpu.json renamed to google-bert-bert-base-multilingual-cased/QNN/config_gpu_fp32.json

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"int64"
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],
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"output_names": [
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"last_hidden_state"
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"last_hidden_state",
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"pooler_output"
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]
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}
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},
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"target": "target_system",
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"cache_dir": "cache",
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"output_dir": "output",
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"evaluate_input_model": false
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"evaluate_input_model": false,
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"clean_cache": true
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}

google-bert-bert-base-multilingual-cased/QNN/info.yml

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QNN
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arch: bert
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recipes:
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- file: "config_qnn_gpu.json"
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- file: "config_gpu_fp32.json"
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device: gpu
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ep: QNNExecutionProvider

google-vit-base-patch16-224/QNN/README.md

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To run the config:
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```bash
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olive run --config vit_qnn_gpu.json
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olive run --config config_gpu_fp32.json
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```
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✅ Optimized model saved in: `output/`

google-vit-base-patch16-224/QNN/vit_qnn_gpu.json renamed to google-vit-base-patch16-224/QNN/config_gpu_fp32.json

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}
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},
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"target": "target_system",
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"cache_dir": "cache",
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"output_dir": "output",
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"evaluate_input_model": false,
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"cache_dir": "cache"
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"clean_cache": true
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}

google-vit-base-patch16-224/QNN/info.yml

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- file: "vit_qnn_fp32_ctx.json"
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device: npu
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ep: QNNExecutionProvider
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- file: "vit_qnn_gpu.json"
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- file: "config_gpu_fp32.json"
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device: gpu
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ep: QNNExecutionProvider

intel-bert-base-uncased-mrpc/QNN/README.md

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To run the config:
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```bash
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olive run --config config_qnn_gpu.json
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olive run --config config_gpu_fp32.json
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```
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✅ Optimized model saved in: `output/`

intel-bert-base-uncased-mrpc/QNN/config_qnn_gpu.json renamed to intel-bert-base-uncased-mrpc/QNN/config_gpu_fp32.json

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}
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},
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"systems": {
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"local_system": {
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"target_system": {
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"type": "LocalSystem",
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"accelerators": [
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{
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]
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}
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},
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"evaluate_input_model": false,
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"target": "local_system",
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"target": "target_system",
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"cache_dir": "cache",
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"output_dir": "output"
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"output_dir": "output",
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"evaluate_input_model": false,
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"clean_cache": true
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}

intel-bert-base-uncased-mrpc/QNN/info.yml

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QNN
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arch: bert
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recipes:
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- file: "config_qnn_gpu.json"
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- file: "config_gpu_fp32.json"
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device: gpu
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ep: QNNExecutionProvider

laion-CLIP-ViT-B-32-laion2B-s34B-b79K/QNN/README.md

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@@ -19,7 +19,7 @@ pip uninstall olive-ai
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To run the config:
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```bash
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olive run --config config_qnn_gpu.json
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olive run --config config_gpu_fp32.json
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```
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✅ Optimized model saved in: `output/`

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