diff options
author | Jon Bratseth <bratseth@oath.com> | 2018-10-01 05:46:22 +0200 |
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committer | Jon Bratseth <bratseth@oath.com> | 2018-10-01 05:46:22 +0200 |
commit | 9c80048457caab3881f3319aadd0990f65c04937 (patch) | |
tree | d180b1a6a866b53e0c23657a31ebe836d641911f /model-evaluation/src/test/resources/config/models | |
parent | 8d80010a385f40d4bb852e6b11810692a67e90ed (diff) |
Include argument type information in functions
Diffstat (limited to 'model-evaluation/src/test/resources/config/models')
-rw-r--r-- | model-evaluation/src/test/resources/config/models/rank-profiles.cfg | 24 |
1 files changed, 16 insertions, 8 deletions
diff --git a/model-evaluation/src/test/resources/config/models/rank-profiles.cfg b/model-evaluation/src/test/resources/config/models/rank-profiles.cfg index 1cc36f75158..7980d157193 100644 --- a/model-evaluation/src/test/resources/config/models/rank-profiles.cfg +++ b/model-evaluation/src/test/resources/config/models/rank-profiles.cfg @@ -1,14 +1,22 @@ -rankprofile[0].name "mnist_saved" -rankprofile[0].fef.property[0].name "rankingExpression(imported_ml_macro_mnist_saved_dnn_hidden1_add).rankingScript" -rankprofile[0].fef.property[0].value "join(reduce(join(rename(input, (d0, d1), (d0, d4)), constant(mnist_saved_dnn_hidden1_weights_read), f(a,b)(a * b)), sum, d4), constant(mnist_saved_dnn_hidden1_bias_read), f(a,b)(a + b))" -rankprofile[0].fef.property[1].name "rankingExpression(serving_default.y).rankingScript" -rankprofile[0].fef.property[1].value "join(reduce(join(map(join(reduce(join(join(join(rankingExpression(imported_ml_macro_mnist_saved_dnn_hidden1_add), 0.009999999776482582, f(a,b)(a * b)), rankingExpression(imported_ml_macro_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)(1.050701 * if (a >= 0, a, 1.673263 * (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))" +rankprofile[0].name "mnist_softmax" +rankprofile[0].fef.property[0].name "rankingExpression(default.add).rankingScript" +rankprofile[0].fef.property[0].value "join(reduce(join(rename(Placeholder, (d0, d1), (d0, d2)), constant(mnist_softmax_Variable), f(a,b)(a * b)), sum, d2), constant(mnist_softmax_Variable_1), f(a,b)(a + b))" +rankprofile[0].fef.property[1].name "rankingExpression(default.add).Placeholder.type" +rankprofile[0].fef.property[1].value "tensor(d0[],d1[784])" rankprofile[1].name "xgboost_2_2" rankprofile[1].fef.property[0].name "rankingExpression(xgboost_2_2).rankingScript" rankprofile[1].fef.property[0].value "if (f29 < -0.1234567, if (f56 < -0.242398, 1.71218, -1.70044), if (f109 < 0.8723473, -1.94071, 1.85965)) + if (f60 < -0.482947, if (f29 < -4.2387498, 0.784718, -0.96853), -6.23624)" rankprofile[2].name "mnist_softmax_saved" rankprofile[2].fef.property[0].name "rankingExpression(serving_default.y).rankingScript" rankprofile[2].fef.property[0].value "join(reduce(join(rename(Placeholder, (d0, d1), (d0, d2)), constant(mnist_softmax_saved_layer_Variable_read), f(a,b)(a * b)), sum, d2), constant(mnist_softmax_saved_layer_Variable_1_read), f(a,b)(a + b))" -rankprofile[3].name "mnist_softmax" -rankprofile[3].fef.property[0].name "rankingExpression(default.add).rankingScript" -rankprofile[3].fef.property[0].value "join(reduce(join(rename(Placeholder, (d0, d1), (d0, d2)), constant(mnist_softmax_Variable), f(a,b)(a * b)), sum, d2), constant(mnist_softmax_Variable_1), f(a,b)(a + b))" +rankprofile[2].fef.property[1].name "rankingExpression(serving_default.y).x.type" +rankprofile[2].fef.property[1].value "tensor(d0[],d1[784])" +rankprofile[3].name "mnist_saved" +rankprofile[3].fef.property[0].name "rankingExpression(imported_ml_function_mnist_saved_dnn_hidden1_add).rankingScript" +rankprofile[3].fef.property[0].value "join(reduce(join(rename(input, (d0, d1), (d0, d4)), constant(mnist_saved_dnn_hidden1_weights_read), f(a,b)(a * b)), sum, d4), constant(mnist_saved_dnn_hidden1_bias_read), f(a,b)(a + b))" +rankprofile[3].fef.property[1].name "rankingExpression(imported_ml_function_mnist_saved_dnn_hidden1_add).type" +rankprofile[3].fef.property[1].value "tensor(d3[300])" +rankprofile[3].fef.property[2].name "rankingExpression(serving_default.y).rankingScript" +rankprofile[3].fef.property[2].value "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)(1.050701 * if (a >= 0, a, 1.673263 * (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))" +rankprofile[3].fef.property[3].name "rankingExpression(serving_default.y).x.type" +rankprofile[3].fef.property[3].value "tensor(d0[],d1[784])" |