resnet pyramid
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@@ -256,15 +256,15 @@ class PyramidNew(tf.keras.Model):
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def __init__(self, config):
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super(PyramidNew, self).__init__()
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self.static_enc : AEEncoderNew = AEEncoderNew(config['cond_ae_static']['encoder_depths'], config['cond_ae_static']['encoder_dims'], config['cond_ae_static']['kernel_size'], config['cond_ae_static']['activation'])
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self.static_enc : AEEncoderNew = AEEncoderNew(config['cond_ae_static']['layer_params'], config['cond_ae_static']['bottleneck_size'], config['cond_ae_static']['activation'])
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if config['pyramid']['static_model'] != '':
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load_model(self.static_enc, config['pyramid']['static_model'] + '_enc')
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self.body_enc : AEEncoderNew = AEEncoderNew(config['cond_ae_body']['encoder_depths'], config['cond_ae_body']['encoder_dims'], config['cond_ae_body']['kernel_size'])
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self.body_enc : AEEncoderNew = AEEncoderNew(config['cond_ae_body']['layer_params'], config['cond_ae_body']['bottleneck_size'], config['cond_ae_static']['activation'])
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if config['pyramid']['body_model'] != '':
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load_model(self.body_enc, config['pyramid']['body_model'] + '_enc')
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self.curv_enc : AEEncoderNew = AEEncoderNew(config['cond_ae_curv']['encoder_depths'], config['cond_ae_curv']['encoder_dims'], config['cond_ae_curv']['kernel_size'], config['cond_ae_curv']['activation'])
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self.curv_enc : AEEncoderNew = AEEncoderNew(config['cond_ae_curv']['layer_params'], config['cond_ae_curv']['bottleneck_size'], config['cond_ae_curv']['activation'])
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if config['pyramid']['curvature_model'] != '':
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load_model(self.curv_enc, config['pyramid']['curvature_model'] + '_enc')
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