def increment_odd(x):
return T.inc_subtensor(x[1::2], 1.)
x = T.vector()
xv = np.zeros((4,), dtype=x.dtype)
yv = increment_odd(x).eval({x:xv})
Hello I'm implementing this simple code to test inc_subtensor, which give
me this error
>
> RuntimeError: Error doing inplace add
> Apply node that caused the error:
> GpuIncSubtensor{InplaceInc;::}(GpuFromHost<None>.0, GpuArrayConstant{1.0})
> Toposort index: 1
> Inputs types: [GpuArrayType<None>(float32, (False,)),
> GpuArrayType<None>(float32, ())]
> Inputs shapes: [(4,), ()]
> Inputs strides: [(4,), ()]
> Inputs values: [gpuarray.array([ 0., 0., 0., 0.], dtype=float32),
> gpuarray.array(1.0, dtype=float32)]
> Outputs clients:
> [[HostFromGpu(gpuarray)(GpuIncSubtensor{InplaceInc;::}.0)]]
So I tested set_subtensor and it worked with me. what is wrong in this
implementation ?
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