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i tried training model on GTX 1050 but it gives error #9

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hemanth2410 opened this issue Dec 26, 2018 · 0 comments
Open

i tried training model on GTX 1050 but it gives error #9

hemanth2410 opened this issue Dec 26, 2018 · 0 comments

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@hemanth2410
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Excepted with OOM when allocating tensor with shape[32,128,77,157] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node training/Adadelta/gradients/AddN_120-0-TransposeNHWCToNCHW-LayoutOptimizer}} = Transpose[T=DT_FLOAT, Tperm=DT_INT32, _device="/job:localhost/replica:0/task:0/device:GPU:0"](training/Adadelta/gradients/block2_sepconv2_bn/cond/FusedBatchNorm/Switch_grad/cond_grad, PermConstNHWCToNCHW-LayoutOptimizer)]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

 [[{{node loss/mul/_1543}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_16371_loss/mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

i dont know why that error is coming

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