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Commit cbd57be6 authored by Davis King's avatar Davis King
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Made test_layers() a little more robust.

parent 9065f08c
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Showing with 10 additions and 2 deletions
dlib/dnn/core.h
View file @ cbd57be6
......@@ -2016,7 +2016,11 @@ namespace dlib
// compare it to the one output by the layer and make sure they match.
double reference_derivative = (dot(out2,input_grad)-dot(out3, input_grad))/(2*eps);
double output_derivative = params_grad.host()[i];
double relative_error = (reference_derivative - output_derivative)/(reference_derivative + 1e-100);
double relative_error;
if (reference_derivative != 0)
relative_error = (reference_derivative - output_derivative)/(reference_derivative);
else
relative_error = (reference_derivative - output_derivative);
double absolute_error = (reference_derivative - output_derivative);
rs_params.add(std::abs(relative_error));
if (std::abs(relative_error) > 0.05 && std::abs(absolute_error) > 0.006)
......@@ -2049,7 +2053,11 @@ namespace dlib
double output_derivative = subnetwork.get_gradient_input_element(i);
if (!impl::is_inplace_layer(l,subnetwork))
output_derivative -= initial_gradient_input[i];
double relative_error = (reference_derivative - output_derivative)/(reference_derivative + 1e-100);
double relative_error;
if (reference_derivative != 0)
relative_error = (reference_derivative - output_derivative)/(reference_derivative);
else
relative_error = (reference_derivative - output_derivative);
double absolute_error = (reference_derivative - output_derivative);
rs_data.add(std::abs(relative_error));
if (std::abs(relative_error) > 0.05 && std::abs(absolute_error) > 0.006)
......
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