TypeError: `pred` must be a Tensor, or a Python bool, or 1 or 0. Found instead: True

[dc2016bte0006]

Hi, I am getting this error, could you please help me to fix it. Its urgent

layers\normalization.py:167 call
return super(BatchNormalization, self).call(inputs, training=training)
keras\layers\normalization.py:651 call
outputs = self._fused_batch_norm(inputs, training=training)
keras\layers\normalization.py:494 _fused_batch_norm
training, _fused_batch_norm_training, _fused_batch_norm_inference)
keras\utils\tf_utils.py:58 smart_cond
pred, true_fn=true_fn, false_fn=false_fn, name=name)
framework\smart_cond.py:51 smart_cond
pred_value = smart_constant_value(pred)
framework\smart_cond.py:90 smart_constant_value
"Found instead: %s" %pred)

TypeError: `pred` must be a Tensor, or a Python bool, or 1 or 0. Found instead: True