1d143dad940343d7590bd497e8812def981050e1,examples/basic_tutorials/1_mnist_mlp_eager_mode.py,,,#,36

Before Change

        train_loss, train_acc, n_iter = 0, 0, 0
        for X_batch, y_batch in tl.iterate.minibatches(X_train, y_train, batch_size, shuffle=False):
            _logits = MLP(X_batch)
            train_loss += tl.cost.cross_entropy(_logits, y_batch, name="eval_loss")
            train_acc += np.mean(np.equal(np.argmax(_logits, 1), y_batch))
            n_iter += 1

After Change

        train_loss, train_acc, n_iter = 0, 0, 0
        for X_batch, y_batch in tl.iterate.minibatches(X_train, y_train, batch_size, shuffle=False):
            _logits = MLP(X_batch).outputs
            train_loss += tl.cost.cross_entropy(_logits, y_batch, name="eval_loss")
            train_acc += np.mean(np.equal(np.argmax(_logits, 1), y_batch))
            n_iter += 1

Instances