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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,99 @@ | ||
| #!/usr/bin/env python | ||
| """ | ||
| Trains a model using one or more GPUs. | ||
| """ | ||
| from multiprocessing import Process | ||
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| import caffe | ||
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| def train( | ||
| solver, # solver proto definition | ||
| snapshot, # solver snapshot to restore | ||
| gpus, # list of device ids | ||
| timing=False, # show timing info for compute and communications | ||
| ): | ||
| # NCCL uses a uid to identify a session | ||
| uid = caffe.NCCL.new_uid() | ||
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| caffe.init_log() | ||
| caffe.log('Using devices %s' % str(gpus)) | ||
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| procs = [] | ||
| for rank in range(len(gpus)): | ||
| p = Process(target=solve, | ||
| args=(solver, snapshot, gpus, timing, uid, rank)) | ||
| p.daemon = True | ||
| p.start() | ||
| procs.append(p) | ||
| for p in procs: | ||
| p.join() | ||
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| def time(solver, nccl): | ||
| fprop = [] | ||
| bprop = [] | ||
| total = caffe.Timer() | ||
| allrd = caffe.Timer() | ||
| for _ in range(len(solver.net.layers)): | ||
| fprop.append(caffe.Timer()) | ||
| bprop.append(caffe.Timer()) | ||
| display = solver.param.display | ||
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| def show_time(): | ||
| if solver.iter % display == 0: | ||
| s = '\n' | ||
| for i in range(len(solver.net.layers)): | ||
| s += 'forw %3d %8s ' % (i, solver.net.layers[i].layer_param.name) | ||
| s += ': %.2f\n' % fprop[i].ms | ||
| for i in range(len(solver.net.layers) - 1, -1, -1): | ||
| s += 'back %3d %8s ' % (i, solver.net.layers[i].layer_param.name) | ||
| s += ': %.2f\n' % bprop[i].ms | ||
| s += 'solver total: %.2f\n' % total.ms | ||
| s += 'allreduce: %.2f\n' % allrd.ms | ||
| caffe.log(s) | ||
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| solver.net.before_forward(lambda layer: fprop[layer].start()) | ||
| solver.net.after_forward(lambda layer: fprop[layer].stop()) | ||
| solver.net.before_backward(lambda layer: bprop[layer].start()) | ||
| solver.net.after_backward(lambda layer: bprop[layer].stop()) | ||
| solver.add_callback(lambda: total.start(), lambda: (total.stop(), allrd.start())) | ||
| solver.add_callback(nccl) | ||
| solver.add_callback(lambda: '', lambda: (allrd.stop(), show_time())) | ||
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| def solve(proto, snapshot, gpus, timing, uid, rank): | ||
| caffe.set_mode_gpu() | ||
| caffe.set_device(gpus[rank]) | ||
| caffe.set_solver_count(len(gpus)) | ||
| caffe.set_solver_rank(rank) | ||
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| solver = caffe.SGDSolver(proto) | ||
| if snapshot and len(snapshot) != 0: | ||
| solver.restore(snapshot) | ||
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| nccl = caffe.NCCL(solver, uid) | ||
| nccl.bcast() | ||
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| if timing and rank == 0: | ||
| time(solver, nccl) | ||
| else: | ||
| solver.add_callback(nccl) | ||
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| if solver.param.layer_wise_reduce: | ||
| solver.net.after_backward(nccl) | ||
| solver.step(solver.param.max_iter) | ||
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| if __name__ == '__main__': | ||
| import argparse | ||
| parser = argparse.ArgumentParser() | ||
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| parser.add_argument("--solver", required=True, help="Solver proto definition.") | ||
| parser.add_argument("--snapshot", help="Solver snapshot to restore.") | ||
| parser.add_argument("--gpus", type=int, nargs='+', default=[0], | ||
| help="List of device ids.") | ||
| parser.add_argument("--timing", action='store_true', help="Show timing info.") | ||
| args = parser.parse_args() | ||
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| train(args.solver, args.snapshot, args.gpus, args.timing) |