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Fix MP tutorial arguments after release #1191

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merged 3 commits into from
Aug 26, 2024
Merged

Fix MP tutorial arguments after release #1191

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adb320d
Fix MP tutorial arguments after release
Aug 26, 2024
650c63b
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Aug 26, 2024
46ed4a4
Fixes
Aug 26, 2024
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6 changes: 3 additions & 3 deletions ...mct_features_notebooks/pytorch/example_pytorch_mobilenetv2_cifar100_mixed_precision.ipynb
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Expand Up @@ -17,7 +17,7 @@
"id": "59ed8f02"
},
"source": [
"[Run this tutorial in Google Colab](https://colab.research.google.com/github/sony/model_optimization/blob/main/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_mobilenetv2_cifar100_mixed_precision.ipynb)"
"ResourceUtilization_data[Run this tutorial in Google Colab](https://colab.research.google.com/github/sony/model_optimization/blob/main/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_mobilenetv2_cifar100_mixed_precision.ipynb)"
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]
},
{
Expand Down Expand Up @@ -481,7 +481,7 @@
"# The candidates bit-width for quantization should be defined in the target platform model:\n",
"configuration = mct.core.CoreConfig(mixed_precision_config=mct.core.MixedPrecisionQuantizationConfig(\n",
" num_of_images=32,\n",
" use_grad_based_weights=False))"
" use_hessian_based_scores=False))"
]
},
{
Expand Down Expand Up @@ -515,7 +515,7 @@
"# while the bias will not)\n",
"# examples:\n",
"# weights_compression_ratio = 0.75 - About 0.75 of the model's weights memory size when quantized with 8 bits.\n",
"ResourceUtilization = mct.core.ResourceUtilization(ResourceUtilization_data.weights_memory * 0.75)"
"ResourceUtilization = mct.core.ResourceUtilization(resource_utilization_data.weights_memory * 0.75)"
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Please rename this variable. Also, when calling to pytorch_post_training_quantization fix the argument name to target_resource_utilization.

]
},
{
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