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optim_step = tf.train.GradientDescentOptimizer(learning_rate).minimize(average_loss, var_list=[x_hat])
ValueError: No gradients provided for any variable, check your graph for ops that do not support gradients, between variables ['Tensor("Variable/read:0", shape=(299, 299, 3), dtype=float32)'] and loss Tensor("add_21:0", shape=(1,), dtype=float32).
The text was updated successfully, but these errors were encountered:
optim_step = tf.train.GradientDescentOptimizer(learning_rate).minimize(average_loss, var_list=[x_hat])
ValueError: No gradients provided for any variable, check your graph for ops that do not support gradients, between variables ['Tensor("Variable/read:0", shape=(299, 299, 3), dtype=float32)'] and loss Tensor("add_21:0", shape=(1,), dtype=float32).
The text was updated successfully, but these errors were encountered: