mmr/tkDNN
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yolo layers

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This commit is contained in:
Francesco Gatti
2017-08-01 16:08:56 +02:00
parent 8e4b3c6c17
commit b94931f9f7
21 changed files with 522 additions and 84 deletions
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tests/test/test.cpp
+4 -7
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@@ -3,11 +3,8 @@
const char *input_bin = "../tests/test/input.bin";
const char *c0_bin = "../tests/test/layers/conv0.bin";
const char *c0_bias_bin = "../tests/test/layers/conv0.bias.bin";
const char *c1_bin = "../tests/test/layers/conv1.bin";
const char *c1_bias_bin = "../tests/test/layers/conv1.bias.bin";
const char *d2_bin = "../tests/test/layers/dense2.bin";
const char *d2_bias_bin = "../tests/test/layers/dense2.bias.bin";
const char *output_bin = "../tests/test/output.bin";
int main() {
@@ -16,12 +13,12 @@ int main() {
tkDNN::Network net;
tkDNN::dataDim_t dim(1, 1, 10, 10, 1);
tkDNN::Layer *l;
l = new tkDNN::Conv2d (&net, dim, 2, 4, 4, 2, 2, c0_bin, c0_bias_bin);
l = new tkDNN::Conv2d (&net, dim, 2, 4, 4, 2, 2, 1, 1, c0_bin);
l = new tkDNN::Activation (&net, l->output_dim, CUDNN_ACTIVATION_RELU);
l = new tkDNN::Conv2d (&net, l->output_dim, 4, 2, 2, 1, 1, c1_bin, c1_bias_bin);
l = new tkDNN::Conv2d (&net, l->output_dim, 4, 2, 2, 1, 1, 1, 1, c1_bin);
l = new tkDNN::Activation (&net, l->output_dim, CUDNN_ACTIVATION_RELU);
l = new tkDNN::Flatten (&net, l->output_dim);
l = new tkDNN::Dense (&net, l->output_dim, 4, d2_bin, d2_bias_bin);
l = new tkDNN::Flatten (&net, l->output_dim);
l = new tkDNN::Dense (&net, l->output_dim, 4, d2_bin);
l = new tkDNN::Activation (&net, l->output_dim, CUDNN_ACTIVATION_RELU);
// Load input