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hi,when I run train.py,the mode of train is fine_tuning(),I encounter an error: pygpu.gpuarray.GpuArrayException: cuMemAlloc: CUDA_ERROR_OUT_OF_MEMORY: out of memory Inputs types: [TensorType(int64, scalar), TensorType(int64, scalar), TensorType(int64, scalar), TensorType(int64, scalar), TensorType(int64, scalar)] Inputs shapes: [(), (), (), (), ()] Inputs strides: [(), (), (), (), ()] Inputs values: [array(16), array(64), array(16), array(112), array(112)] Outputs clients: [[GpuDnnConv{algo='none', inplace=True}(GpuContiguous.0, GpuContiguous.0, GpuAllocEmpty{dtype='float32', context_name=None}.0, GpuDnnConvDesc{border_mode='half', subsample=(1, 1, 1), conv_mode='conv', precision='float32'}.0, Constant{1.0}, Constant{0.0})]] Can you please tell me how to deal with the problem ? Thank you!
The text was updated successfully, but these errors were encountered:
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hi,when I run train.py,the mode of train is fine_tuning(),I encounter an error:
pygpu.gpuarray.GpuArrayException: cuMemAlloc: CUDA_ERROR_OUT_OF_MEMORY: out of memory
Inputs types: [TensorType(int64, scalar), TensorType(int64, scalar), TensorType(int64, scalar), TensorType(int64, scalar), TensorType(int64, scalar)]
Inputs shapes: [(), (), (), (), ()]
Inputs strides: [(), (), (), (), ()]
Inputs values: [array(16), array(64), array(16), array(112), array(112)]
Outputs clients: [[GpuDnnConv{algo='none', inplace=True}(GpuContiguous.0, GpuContiguous.0, GpuAllocEmpty{dtype='float32', context_name=None}.0, GpuDnnConvDesc{border_mode='half', subsample=(1, 1, 1), conv_mode='conv', precision='float32'}.0, Constant{1.0}, Constant{0.0})]]
Can you please tell me how to deal with the problem ? Thank you!
The text was updated successfully, but these errors were encountered: