Solution:
Add:
tf.compat.v1.disable_eager_execution()
Read More:
- tf.gradients is not supported when eager execution is enabled. Use tf.GradientTape instead.
- raise RuntimeError(RuntimeError: ‘cryptography‘ package is required for sha256_password or caching
- module ‘tensorflow‘ has no attribute ‘placeholder‘
- The routine of benewake tfmini-s / tfmimi plus / tfluna / tf02 Pro / tf03 radar on Python
- IllegalArgumentException: Could not resolve placeholder ‘‘ in value “${}“
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- Not creating XLA devices, tf_xla_enable_xla_devices not set
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- RuntimeError: log_vml_cpu not implemented for ‘Long’