def MailHTMLReport(self, recipient, subject=None):
    dt = rdfvalue.RDFDatetime().Now().Format("%Y-%m-%dT%H-%MZ")
    subject = subject or "%s - %s" % (self.REPORT_NAME, dt)
    report_text = self.AsHtmlTable()

    email_alerts.EMAIL_ALERTER.SendEmail(
        recipient, self.EMAIL_FROM, subject,
        self.EMAIL_TEMPLATE % dict(
            report_text=report_text,
            report_name=self.REPORT_NAME,
            signature=config_lib.CONFIG["Email.signature"]),
        is_html=True)
    logging.info("Report %s mailed to %s", self.REPORT_NAME, recipient)
Creates the computational graph.
dataset/ETHPy150Open google/grr/grr/lib/aff4_objects/reports.py/ClientReport.MailHTMLReport--crossover with--dataset/ETHPy150Open blackecho/Deep-Learning-TensorFlow/models/autoencoder_models/stacked_denoising_autoencoder.py/StackedDenoisingAutoencoder.build_supervised_model