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Fix batch norm layer

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This commit is contained in:
Matúš Námešný
2024-05-14 21:42:01 +02:00
parent da8f3167cb
commit 33a3c6afcb
2 changed files with 4 additions and 12 deletions
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14
src/layers/batch_norm.cu
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@@ -42,8 +42,9 @@ BatchNorm::BatchNorm(
CUDA_CHECK(cudaMalloc((void **)&d_biases, sizeof(float) * inputChannels)); CUDA_CHECK(cudaMalloc((void **)&d_biases, sizeof(float) * inputChannels));
d_length = nullptr; d_length = nullptr;
float length = (float) inputSize * inputSize;
CUDA_CHECK(cudaMalloc((void **)&d_length, sizeof(float))); CUDA_CHECK(cudaMalloc((void **)&d_length, sizeof(float)));
CUDA_CHECK(cudaMemset(d_length, inputSize * inputSize, sizeof(float))); CUDA_CHECK(cudaMemcpy(d_length, &length, sizeof(float), cudaMemcpyHostToDevice));
d_epsilon = nullptr; d_epsilon = nullptr;
float epsilon = 1e-5f; float epsilon = 1e-5f;
@@ -124,21 +125,12 @@ float *BatchNorm::forward(const float *d_input) {
for (int i = 0; i < inputChannels; i++) { for (int i = 0; i < inputChannels; i++) {
// Compute mean // Compute mean
// Sum over all values Utils::mean(
Utils::sum(
d_input + i * inputSize * inputSize, d_input + i * inputSize * inputSize,
d_mean, d_mean,
inputSize * inputSize
);
// Divide sum by length -> mean
Kernels::vec_scalar_div<<<gridSize, BLOCK_SIZE>>>(
d_mean,
d_mean,
d_length, d_length,
inputSize * inputSize inputSize * inputSize
); );
CUDA_CHECK(cudaGetLastError());
// Subtract mean from input // Subtract mean from input
Kernels::vec_scalar_sub<<<gridSize, BLOCK_SIZE>>>( Kernels::vec_scalar_sub<<<gridSize, BLOCK_SIZE>>>(

2
test/layers/test_batch_norm.cu
View File

@@ -71,7 +71,7 @@ TEST(BatchNormLayerTest, BatchNormSmallForwardTest) {
// std::cout << "BatchNorm: " << std::endl; // std::cout << "BatchNorm: " << std::endl;
for (int i = 0; i < output.size(); i++) { for (int i = 0; i < output.size(); i++) {
EXPECT_EQ(output[i], expected[i]); EXPECT_NEAR(output[i], expected[i], 1e-5);
// std::cout << output[i] << " "; // std::cout << output[i] << " ";
} }
// std::cout << std::endl; // std::cout << std::endl;