Fix expected output type of mnist model test
@@ -154,7 +154,7 @@ public class ModelEvaluationTest {
"rankingExpression(imported_ml_function_mnist_saved_dnn_hidden1_add).type: tensor(d3[300])\n" +
"rankingExpression(serving_default.y).rankingScript: join(reduce(join(map(join(reduce(join(join(join(rankingExpression(imported_ml_function_mnist_saved_dnn_hidden1_add), 0.009999999776482582, f(a,b)(a * b)), rankingExpression(imported_ml_function_mnist_saved_dnn_hidden1_add), f(a,b)(max(a,b))), constant(mnist_saved_dnn_hidden2_weights_read), f(a,b)(a * b)), sum, d3), constant(mnist_saved_dnn_hidden2_bias_read), f(a,b)(a + b)), f(a)(1.0507009873554805 * if (a >= 0, a, 1.6732632423543772 * (exp(a) - 1)))), constant(mnist_saved_dnn_outputs_weights_read), f(a,b)(a * b)), sum, d2), constant(mnist_saved_dnn_outputs_bias_read), f(a,b)(a + b))\n" +
"rankingExpression(serving_default.y).input.type: tensor(d0[],d1[784])\n" +
- "rankingExpression(serving_default.y).type: tensor(d1[10])\n";
+ "rankingExpression(serving_default.y).type: tensor(d0[],d1[10])\n";
private RankProfilesConfig.Rankprofile.Fef findProfile(String name, RankProfilesConfig config) {
for (RankProfilesConfig.Rankprofile profile : config.rankprofile()) {
