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* Hold on to the CUDA buffer - second try see: https://github.com/davisking/dlib/pull/1855#discussion_r314666348 * Fix #1849 by calling device_global_buffer() unconditionally
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@ -438,16 +438,12 @@ namespace dlib
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const size_t bytes_per_plane = subnetwork_output.nr()*subnetwork_output.nc()*sizeof(uint16_t);
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const size_t bytes_per_plane = subnetwork_output.nr()*subnetwork_output.nc()*sizeof(uint16_t);
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// Allocate a cuda buffer to store all the truth images and also one float
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// Allocate a cuda buffer to store all the truth images and also one float
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// for the scalar loss output.
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// for the scalar loss output.
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if (!work)
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work = device_global_buffer();
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{
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buf = work->get(subnetwork_output.num_samples()*bytes_per_plane + sizeof(float));
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work = device_global_buffer();
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}
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cuda_data_void_ptr buf = work->get(subnetwork_output.num_samples()*bytes_per_plane + sizeof(float));
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cuda_data_void_ptr loss_buf = buf;
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cuda_data_void_ptr loss_buf = buf;
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buf = buf+sizeof(float);
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buf = buf+sizeof(float);
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// copy the truth data into a cuda buffer.
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// copy the truth data into a cuda buffer.
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for (long i = 0; i < subnetwork_output.num_samples(); ++i, ++truth)
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for (long i = 0; i < subnetwork_output.num_samples(); ++i, ++truth)
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{
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{
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@ -471,6 +467,7 @@ namespace dlib
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);
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);
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mutable std::shared_ptr<resizable_cuda_buffer> work;
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mutable std::shared_ptr<resizable_cuda_buffer> work;
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mutable cuda_data_void_ptr buf;
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};
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};
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// ------------------------------------------------------------------------------------
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// ------------------------------------------------------------------------------------
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