virtual void LayerSetUp(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {
// Disallow PythonLayer in MultiGPU training stage, due to GIL issues
// Details: https://github.com/BVLC/caffe/issues/2936
if (this->phase_ == TRAIN && Caffe::solver_count() > 1
&& !ShareInParallel()) {
LOG(FATAL) << "PythonLayer is not implemented in Multi-GPU training";
}
self_.attr("param_str") = bp::str(
this->layer_param_.python_param().param_str());
//self_.attr("phase") = static_cast<int>(this->phase_);
self_.attr("setup")(bottom, top);
}
/** @brief Set whether this layer is actually shared by other nets
* If ShareInParallel() is true and using more than one GPU and the
* net has TRAIN phase, then is_shared should be set true.
*/
inline void SetShared(bool is_shared) {
CHECK(ShareInParallel() || !is_shared)
<< type() << "Layer does not support sharing.";
is_shared_ = is_shared;
}
