openvino/openvino_model_qint8_quantized.xml
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| 10655 | <dim>-1</dim>
|
| 10656 | <dim>768</dim>
|
| 10657 | </port>
|
| 10658 | <port id="1" precision="FP32">
|
| 10659 | <dim>1</dim>
|
| 10660 | <dim>1</dim>
|
| 10661 | <dim>768</dim>
|
| 10662 | </port>
|
| 10663 | </input>
|
| 10664 | <output>
|
| 10665 | <port id="2" precision="FP32" names="last_hidden_state">
|
| 10666 | <dim>-1</dim>
|
| 10667 | <dim>-1</dim>
|
| 10668 | <dim>768</dim>
|
| 10669 | </port>
|
| 10670 | </output>
|
| 10671 | </layer>
|
| 10672 | <layer id="763" name="Result_550685" type="Result" version="opset1">
|
| 10673 | <input>
|
| 10674 | <port id="0" precision="FP32">
|
| 10675 | <dim>-1</dim>
|
| 10676 | <dim>-1</dim>
|
| 10677 | <dim>768</dim>
|
| 10678 | </port>
|
| 10679 | </input>
|
| 10680 | </layer>
|
| 10681 | </layers>
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| 11480 | <rt_info>
|
| 11481 | <Runtime_version value="2024.4.1-16618-643f23d1318-releases/2024/4" />
|
| 11482 | <conversion_parameters>
|
| 11483 | <framework value="pytorch" />
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| 11484 | <is_python_object value="True" />
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| 11485 | </conversion_parameters>
|
| 11486 | <nncf>
|
| 11487 | <friendly_names_were_updated value="True" />
|
| 11488 | <quantization>
|
| 11489 | <advanced_parameters value="{'overflow_fix': 'disable', 'quantize_outputs': False, 'inplace_statistics': True, 'disable_channel_alignment': True, 'disable_bias_correction': False, 'batchwise_statistics': None, 'activations_quantization_params': None, 'weights_quantization_params': None, 'activations_range_estimator_params': {'min': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}, 'max': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}}, 'weights_range_estimator_params': {'min': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}, 'max': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}}, 'bias_correction_params': {'apply_for_all_nodes': False, 'threshold': None}, 'smooth_quant_alphas': {'convolution': -1, 'matmul': 0.95}, 'smooth_quant_alpha': None, 'backend_params': {}}" />
|
| 11490 | <fast_bias_correction value="True" />
|
| 11491 | <ignored_scope>
|
| 11492 | <types value="['GroupNormalization']" />
|
| 11493 | </ignored_scope>
|
| 11494 | <model_type value="transformer" />
|
| 11495 | <preset value="mixed" />
|
| 11496 | <subset_size value="300" />
|
| 11497 | <target_device value="ANY" />
|
| 11498 | </quantization>
|
| 11499 | </nncf>
|
| 11500 | <optimum>
|
| 11501 | <optimum_intel_version value="1.20.0.dev0+b31524c" />
|
| 11502 | <optimum_version value="1.23.0" />
|
| 11503 | <pytorch_version value="2.5.0.dev20240807+cu121" />
|
| 11504 | <transformers_version value="4.43.4" />
|
| 11505 | </optimum>
|
| 11506 | </rt_info>
|
| 11507 | </net>
|
| 11508 | |