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hub / github.com/BVLC/caffe / InitUnsharedWeightsNet

Method InitUnsharedWeightsNet

src/caffe/test/test_net.cpp:298–384  ·  view source on GitHub ↗

loss_weight is the loss weight for the 'EuclideanLoss' layer output. midnet_loss_weight is the loss weight for the first 'InnerProduct' layer output. Should both default to 0.0 if unspecified (i.e., if NULL is passed to this function).

Source from the content-addressed store, hash-verified

296 // output. Should both default to 0.0 if unspecified (i.e., if NULL is
297 // passed to this function).
298 virtual void InitUnsharedWeightsNet(const Dtype* loss_weight = NULL,
299 const Dtype* midnet_loss_weight = NULL,
300 const bool force_backward = false, const bool bias_term = false,
301 const Dtype blobs_lr_w1 = 1, const Dtype blobs_lr_b1 = 2,
302 const Dtype blobs_lr_w2 = 1, const Dtype blobs_lr_b2 = 2) {
303 string bias_str = bias_term ? "true ":"false ";
304 ostringstream proto;
305 proto << "name: 'UnsharedWeightsNetwork' ";
306 if (force_backward) {
307 proto << "force_backward: true ";
308 }
309 proto <<
310 "layer { "
311 " name: 'data' "
312 " type: 'DummyData' "
313 " dummy_data_param { "
314 " num: 5 "
315 " channels: 2 "
316 " height: 3 "
317 " width: 4 "
318 " data_filler { "
319 " type: 'gaussian' "
320 " std: 0.01 "
321 " } "
322 " } "
323 " top: 'data' "
324 "} "
325 "layer { "
326 " name: 'innerproduct1' "
327 " type: 'InnerProduct' "
328 " inner_product_param { "
329 " num_output: 10 "
330 " bias_term: " << bias_str <<
331 " weight_filler { "
332 " type: 'gaussian' "
333 " std: 10 "
334 " } "
335 " } "
336 " param { "
337 " name: 'unsharedweights1' "
338 " lr_mult: " << blobs_lr_w1 <<
339 " } ";
340 if (bias_term) {
341 proto << " param { lr_mult: " << blobs_lr_b1 << " } ";
342 }
343 proto <<
344 " bottom: 'data' "
345 " top: 'innerproduct1' ";
346 if (midnet_loss_weight) {
347 proto << " loss_weight: " << *midnet_loss_weight << " ";
348 }
349 proto <<
350 "} "
351 "layer { "
352 " name: 'innerproduct2' "
353 " type: 'InnerProduct' "
354 " inner_product_param { "
355 " num_output: 10 "

Callers 1

TYPED_TESTFunction · 0.80

Calls

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Tested by

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