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Support arbitrary number of batch dimensions in *FFT#6528

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soumith merged 1 commit into
pytorch:masterfrom
ssnl:fft_multidim_batch
Apr 12, 2018
Merged

Support arbitrary number of batch dimensions in *FFT#6528
soumith merged 1 commit into
pytorch:masterfrom
ssnl:fft_multidim_batch

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@ssnl ssnl commented Apr 11, 2018

Addresses #6516 .

@ssnl ssnl force-pushed the fft_multidim_batch branch from 2ee44ab to b0bd00b Compare April 11, 2018 21:48
ss << "Expected an input tensor of floating types, but got input "
ss << "Expected an input tensor of floating types, but got input="
<< self.type() << self.sizes();
throw std::runtime_error(ss.str());

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lgtm. Is it ever useful to support broadcasting of these batch dimensions?

@soumith soumith merged commit 8aa0ae3 into pytorch:master Apr 12, 2018
@ssnl ssnl deleted the fft_multidim_batch branch April 12, 2018 19:03
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ssnl commented Apr 12, 2018

Input is just a single tensor, so I don't think that broadcasting is involved here :)

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4 participants