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Fixed multi-GPU training for Tensor Cores

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This commit is contained in:
AlexeyAB
2018-03-09 19:44:46 +03:00
parent a6c51e3b75
commit 880cf187d8
5 changed files with 48 additions and 35 deletions
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12
src/network.c
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@ -140,6 +140,11 @@ network make_network(int n)
#ifdef GPU
net.input_gpu = calloc(1, sizeof(float *));
net.truth_gpu = calloc(1, sizeof(float *));
net.input16_gpu = calloc(1, sizeof(float *));
net.output16_gpu = calloc(1, sizeof(float *));
net.max_input16_size = calloc(1, sizeof(size_t));
net.max_output16_size = calloc(1, sizeof(size_t));
#endif
return net;
}
@ -622,6 +627,13 @@ void free_network(network net)
if (*net.truth_gpu) cuda_free(*net.truth_gpu);
if (net.input_gpu) free(net.input_gpu);
if (net.truth_gpu) free(net.truth_gpu);
if (*net.input16_gpu) cuda_free(*net.input16_gpu);
if (*net.output16_gpu) cuda_free(*net.output16_gpu);
if (net.input16_gpu) free(net.input16_gpu);
if (net.output16_gpu) free(net.output16_gpu);
if (net.max_input16_size) free(net.max_input16_size);
if (net.max_output16_size) free(net.max_output16_size);
#else
free(net.workspace);
#endif