openvino/openvino_model_qint8_quantized.xml
| 1 | <?xml version="1.0"?>
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|
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|
| 11250 | <edge from-layer="752" from-port="2" to-layer="757" to-port="0" />
|
| 11251 | <edge from-layer="753" from-port="0" to-layer="757" to-port="1" />
|
| 11252 | <edge from-layer="754" from-port="0" to-layer="757" to-port="2" />
|
| 11253 | <edge from-layer="755" from-port="0" to-layer="757" to-port="3" />
|
| 11254 | <edge from-layer="756" from-port="0" to-layer="757" to-port="4" />
|
| 11255 | <edge from-layer="757" from-port="5" to-layer="762" to-port="0" />
|
| 11256 | <edge from-layer="758" from-port="0" to-layer="759" to-port="0" />
|
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|
| 11258 | <edge from-layer="760" from-port="0" to-layer="761" to-port="1" />
|
| 11259 | <edge from-layer="761" from-port="2" to-layer="762" to-port="1" />
|
| 11260 | <edge from-layer="762" from-port="2" to-layer="763" to-port="0" />
|
| 11261 | </edges>
|
| 11262 | <rt_info>
|
| 11263 | <Runtime_version value="2024.4.1-16618-643f23d1318-releases/2024/4" />
|
| 11264 | <conversion_parameters>
|
| 11265 | <framework value="pytorch" />
|
| 11266 | <is_python_object value="True" />
|
| 11267 | </conversion_parameters>
|
| 11268 | <nncf>
|
| 11269 | <friendly_names_were_updated value="True" />
|
| 11270 | <quantization>
|
| 11271 | <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': {}}" />
|
| 11272 | <fast_bias_correction value="True" />
|
| 11273 | <ignored_scope>
|
| 11274 | <types value="['GroupNormalization']" />
|
| 11275 | </ignored_scope>
|
| 11276 | <model_type value="transformer" />
|
| 11277 | <preset value="mixed" />
|
| 11278 | <subset_size value="300" />
|
| 11279 | <target_device value="ANY" />
|
| 11280 | </quantization>
|
| 11281 | </nncf>
|
| 11282 | <optimum>
|
| 11283 | <optimum_intel_version value="1.20.1" />
|
| 11284 | <optimum_version value="1.24.0" />
|
| 11285 | <pytorch_version value="2.6.0+cu124" />
|
| 11286 | <transformers_version value="4.52.0.dev0" />
|
| 11287 | </optimum>
|
| 11288 | </rt_info>
|
| 11289 | </net>
|
| 11290 | |