<jupyter_start><jupyter_text>OpenVINO integration with TensorFlow on GATK CNNScoreVariantsThis notebook demonstrates using OpenVINO integration with TensorFlow on GATK CNNScoreVariants to achieve an improved performance.1. First, we execute CNNScoreVariants on a sample input data to execute and observe the improved throughput.2. Then, we execute CNNScoreVariants using the same input data and parameters again. However, this time we disable OpenVINO integration with TensorFlow to compare the throughput with stock TensorFlow. ***Note:*** This notebook is intented to be run with "terra-docker-gatk-ovtf" image.  GATK CNNScoreVariants on OV-TF<jupyter_code>!gatk CNNScoreVariants \
        -I gs://gatk-tutorials/workshop_2002/2-germline/CNNScoreVariants/bams/g94982_chr20_1m_10m_bamout.bam \
        -V gs://gatk-tutorials/workshop_2002/2-germline/CNNScoreVariants/vcfs/g94982_b37_chr20_1m_15871.vcf.gz \
        -R gs://gcp-public-data--broad-references/hg19/v0/Homo_sapiens_assembly19.fasta \
        -O my_2d_cnn_scored.vcf \
        --tensor-type read_tensor \
        --transfer-batch-size 256 \
        --inference-batch-size 256<jupyter_output><empty_output><jupyter_text>Baseline GATK CNNScoreVariants<jupyter_code>!OPENVINO_TF_DISABLE="1" \
 gatk CNNScoreVariants \
        -I gs://gatk-tutorials/workshop_2002/2-germline/CNNScoreVariants/bams/g94982_chr20_1m_10m_bamout.bam \
        -V gs://gatk-tutorials/workshop_2002/2-germline/CNNScoreVariants/vcfs/g94982_b37_chr20_1m_15871.vcf.gz \
        -R gs://gcp-public-data--broad-references/hg19/v0/Homo_sapiens_assembly19.fasta \
        -O my_2d_cnn_scored_ovtf.vcf \
        --tensor-type read_tensor \
        --transfer-batch-size 256 \
        --inference-batch-size 256<jupyter_output><empty_output>
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