v1.4.0 - Incremental update

Please update the NPU driver to the latest version to fully utilize the library features

• Windows: link
• Linux: ink

PIP package: https://pypi.org/project/intel-npu-acceleration-library/1.4.0/

What's Changed

• Add doc for implementing new operations by @SarahByrneIntel in #79
• Adding power and log softmax operations by @SarahByrneIntel in #80
• Adding support for operations on tensors by @SarahByrneIntel in #81
• Add c++ examples by @alessandropalla in #86
• NPU compilation tutorial by @alessandropalla in #87
• Fix ops and r_ops in case of float and int by @alessandropalla in #88
• Adding support and testing for chunk tensor operation by @SarahByrneIntel in #90
• Make matmul op (@) torch compliant by @alessandropalla in #91
• Update scikit-learn requirement from <=1.5.0 to <=1.5.1 by @dependabot in #93
• Support for Phi-3 MLP layer by @SarahByrneIntel in #84
• Fix OpenSSF scan by @alessandropalla in #99
• Enable npu compile in compiler.py by @xduzhangjiayu in #100
• Dtype mismatch fix for model training by @SarahByrneIntel in #104
• Add the position_imbeddings param to LlamaAttention.forward by @Nagico2 in #105
• add param in profile_mlp.py to enable graph mode or not by @xduzhangjiayu in #106
• Add prelu and normalize ops by @alessandropalla in #107
• qwen2_math_7b.py to support Qwen Math 7b LLM network by @andyyeh75 in #119
• Update scikit-learn requirement from <=1.5.1 to <=1.5.2 by @dependabot in #123
• Fix some issues on CI by @alessandropalla in #130
• Model compiling demo by @SarahByrneIntel in #115
• 'Audio-Spectrogram-Transformer' example added by @sbasia in #134
• Building on Ubuntu 24.04 by @ytxmobile98 in #129
• Add turbo mode by @alessandropalla in #140
• Reinstate llama tests by @alessandropalla in #141

New Contributors

• @Nagico2 made their first contribution in #105
• @andyyeh75 made their first contribution in #119
• @sbasia made their first contribution in #134
• @ytxmobile98 made their first contribution in #129

Full Changelog: v1.3.0...v1.4.0