Add computation of #parameters, #MACC, and max feature map size in the tests
Signed-off-by: Micaela Verucchi <micaelaverucchi@gmail.com>
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+4
-1
@@ -19,6 +19,8 @@ LayerWgs::LayerWgs(Network *net, int inputs, int outputs,
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int seek = 0;
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readBinaryFile(weights_path.c_str(), inputs*outputs*kh*kw*kl, &data_h, &data_d, seek);
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seek += inputs*outputs*kh*kw*kl;
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n_params = seek;
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this->additional_bias = additional_bias;
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if(additional_bias) {
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readBinaryFile(weights_path.c_str(), outputs, &bias2_h, &bias2_d, seek);
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@@ -26,15 +28,16 @@ LayerWgs::LayerWgs(Network *net, int inputs, int outputs,
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}
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readBinaryFile(weights_path.c_str(), outputs, &bias_h, &bias_d, seek);
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seek += outputs;
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this->batchnorm = batchnorm;
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if(batchnorm) {
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seek += outputs;
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readBinaryFile(weights_path.c_str(), outputs, &scales_h, &scales_d, seek);
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seek += outputs;
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readBinaryFile(weights_path.c_str(), outputs, &mean_h, &mean_d, seek);
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seek += outputs;
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readBinaryFile(weights_path.c_str(), outputs, &variance_h, &variance_d, seek);
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seek += outputs;
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float eps = TKDNN_BN_MIN_EPSILON;
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