mirror of https://github.com/vladmandic/automatic
70 lines
1.5 KiB
JSON
70 lines
1.5 KiB
JSON
{
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"input_model": {
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"type": "PyTorchModel",
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"config": {
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"model_path": "",
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"model_loader": "vae_encoder_load",
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"model_script": "modules/olive.py",
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"io_config": {
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"input_names": ["sample", "return_dict"],
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"output_names": ["latent_sample"],
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"dynamic_axes": {
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"sample": {
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"0": "batch",
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"1": "channels",
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"2": "height",
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"3": "width"
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}
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}
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},
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"dummy_inputs_func": "vae_encoder_conversion_inputs"
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}
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},
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"systems": {
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"local_system": {
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"type": "LocalSystem",
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"config": {
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"accelerators": ["gpu"]
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}
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}
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},
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"evaluators": {
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"common_evaluator": {
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"metrics": [
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{
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"name": "latency",
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"type": "latency",
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"sub_types": [{ "name": "avg" }],
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"user_config": {
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"user_script": "modules/olive.py",
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"dataloader_func": "vae_encoder_data_loader",
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"batch_size": 1
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}
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}
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]
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}
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},
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"passes": {
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"convert": {
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"type": "OnnxConversion",
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"config": {
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"target_opset": 14
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}
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}
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},
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"engine": {
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"search_strategy": {
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"execution_order": "joint",
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"search_algorithm": "exhaustive"
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},
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"evaluator": "common_evaluator",
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"evaluate_input_model": false,
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"host": "local_system",
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"target": "local_system",
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"cache_dir": "cache",
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"output_name": "vae_encoder",
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"output_dir": "footprints",
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"execution_providers": ["DmlExecutionProvider"]
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}
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}
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