kegelmannni100026/Neuronale-Netzwerke
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This commit is contained in:
Jonas Stamm 2025-11-17 12:06:32 +01:00
parent b9ed1f22e0
commit c748cf5a97
2 changed files with 2 additions and 4 deletions
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4
matrix.c
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@ -67,7 +67,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
return result; return result;
} }
// Case B: matrix1 has shape (rows x cols) and matrix2 is (rows x 1) -> broadcast second across columns // Case B: matrix1 besteht aus (rows x cols) und matrix2 ist (rows x 1) -> einmal alle rows einzeln auf die andere Addieren
if (matrix1.rows == matrix2.rows && matrix2.cols == 1 && matrix1.cols > 1) if (matrix1.rows == matrix2.rows && matrix2.cols == 1 && matrix1.cols > 1)
{ {
Matrix result = createMatrix(matrix1.rows, matrix1.cols); Matrix result = createMatrix(matrix1.rows, matrix1.cols);
@ -84,7 +84,7 @@ Matrix add(const Matrix matrix1, const Matrix matrix2)
return result; return result;
} }
// Case C: matrix1 is (rows x 1) and matrix2 is (rows x cols) -> broadcast first across columns // Case C: matrix1 ist (rows x 1) und matrix2 ist (rows x cols) -> einmal alle cols einzeln auf die andere Addieren
if (matrix2.rows == matrix1.rows && matrix1.cols == 1 && matrix2.cols > 1) if (matrix2.rows == matrix1.rows && matrix1.cols == 1 && matrix2.cols > 1)
{ {
Matrix result = createMatrix(matrix2.rows, matrix2.cols); Matrix result = createMatrix(matrix2.rows, matrix2.cols);

2
neuralNetworkTests.c
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@ -52,8 +52,6 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
fclose(file); fclose(file);
} }
void test_loadModelReturnsCorrectNumberOfLayers(void) void test_loadModelReturnsCorrectNumberOfLayers(void)
{ {
const char *path = "some__nn_test_file.info2"; const char *path = "some__nn_test_file.info2";