mirror of https://github.com/vladmandic/automatic
149 lines
4.7 KiB
JSON
149 lines
4.7 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": "text_encoder_load",
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"model_script": "modules/olive_script.py",
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"io_config": {
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"input_names": ["input_ids", "output_hidden_states"],
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"output_names": [
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"last_hidden_state",
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"pooler_output",
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"hidden_states.0",
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"hidden_states.1",
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"hidden_states.2",
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"hidden_states.3",
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"hidden_states.4",
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"hidden_states.5",
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"hidden_states.6",
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"hidden_states.7",
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"hidden_states.8",
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"hidden_states.9",
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"hidden_states.10",
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"hidden_states.11",
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"hidden_states.12"
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],
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"dynamic_axes": {
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"input_ids": { "0": "batch_size", "1": "sequence_length" },
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"last_hidden_state": { "0": "batch_size", "1": "sequence_length" },
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"pooler_output": { "0": "batch_size" },
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"hidden_states.0": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.1": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.2": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.3": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.4": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.5": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.6": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.7": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.8": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.9": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.10": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.11": { "0": "batch_size", "1": "sequence_length" },
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"hidden_states.12": { "0": "batch_size", "1": "sequence_length" }
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}
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},
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"dummy_inputs_func": "text_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_script.py",
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"dataloader_func": "text_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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"optimize_DmlExecutionProvider": {
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"type": "OrtTransformersOptimization",
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"disable_search": true,
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"config": {
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"model_type": "clip",
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"opt_level": 0,
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"float16": true,
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"use_gpu": true,
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"keep_io_types": true,
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"optimization_options": {
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"enable_gelu": true,
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"enable_layer_norm": true,
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"enable_attention": true,
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"use_multi_head_attention": true,
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"enable_skip_layer_norm": false,
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"enable_embed_layer_norm": true,
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"enable_bias_skip_layer_norm": false,
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"enable_bias_gelu": true,
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"enable_gelu_approximation": false,
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"enable_qordered_matmul": false,
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"enable_shape_inference": true,
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"enable_gemm_fast_gelu": false,
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"enable_nhwc_conv": false,
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"enable_group_norm": true,
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"enable_bias_splitgelu": false,
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"enable_packed_qkv": true,
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"enable_packed_kv": true,
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"enable_bias_add": false,
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"group_norm_channels_last": false
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},
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"force_fp32_ops": ["RandomNormalLike"],
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"force_fp16_inputs": {
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"GroupNorm": [0, 1, 2]
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}
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}
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},
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"optimize_CUDAExecutionProvider": {
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"type": "OrtTransformersOptimization",
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"disable_search": true,
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"config": {
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"model_type": "clip",
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"opt_level": 0,
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"float16": true,
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"use_gpu": true,
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"keep_io_types": true
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}
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},
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"optimize_ROCMExecutionProvider": {
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"type": "OrtTransformersOptimization",
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"disable_search": true,
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"config": {
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"model_type": "clip",
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"opt_level": 0,
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"float16": true,
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"use_gpu": true,
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"keep_io_types": true
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}
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}
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},
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"pass_flows": [["optimize_AutoExecutionProvider"]],
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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": "text_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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