{"push_id":3131902365,"size":7,"distinct_size":7,"ref":"refs/heads/optional-scalartype","head":"30c5ec63c2b1fe47f4478f5679e82aa63393901f","before":"354596ddafe05d4d09d0108859d0ba735d567414","commits":[{"sha":"64cbea05e37ded94afeeed2da0a4fc975ff0260b","author":{"name":"Tugrul Ates","email":"716845cc31b39d291855cdce64e5450b258da84d@fb.com"},"message":"Optional ScalarType for prod\n\nTested:\n```\n>>> import torch\n>>> a = torch.ones([5, 5], requires_grad=True)\n>>> b = torch.prod(a, dim=0, dtype=torch.float64)\n>>> b\ntensor([1., 1., 1., 1., 1.], dtype=torch.float64, grad_fn=<ProdBackward1>)\n>>> c = torch.prod(b)\n>>> c\ntensor(1., dtype=torch.float64, grad_fn=<ProdBackward0>)\n>>> c.backward()\n>>> a.grad\ntensor([[1., 1., 1., 1., 1.],\n        [1., 1., 1., 1., 1.],\n        [1., 1., 1., 1., 1.],\n        [1., 1., 1., 1., 1.],\n        [1., 1., 1., 1., 1.]])\n>>> a.grad.dtype\ntorch.float32\n```\n\nOptional ScalarType for prod","distinct":true,"url":"https://api.github.com/repos/tugrulates/pytorch/commits/64cbea05e37ded94afeeed2da0a4fc975ff0260b"},{"sha":"e222f5e641cf390dd21e860fefb15d6c76d26b5a","author":{"name":"Tugrul Ates","email":"716845cc31b39d291855cdce64e5450b258da84d@fb.com"},"message":"Optional ScalarType for cumsum","distinct":true,"url":"https://api.github.com/repos/tugrulates/pytorch/commits/e222f5e641cf390dd21e860fefb15d6c76d26b5a"},{"sha":"261887fdca9727b76ad7b1383826de740d2aeed1","author":{"name":"Tugrul Ates","email":"716845cc31b39d291855cdce64e5450b258da84d@fb.com"},"message":"Optional ScalarType for cumprod","distinct":true,"url":"https://api.github.com/repos/tugrulates/pytorch/commits/261887fdca9727b76ad7b1383826de740d2aeed1"},{"sha":"6984d0507170155d1da4b99f551d562f6095c597","author":{"name":"Tugrul Ates","email":"716845cc31b39d291855cdce64e5450b258da84d@fb.com"},"message":"Optional ScalarType for sum","distinct":true,"url":"https://api.github.com/repos/tugrulates/pytorch/commits/6984d0507170155d1da4b99f551d562f6095c597"},{"sha":"bf886d65bb2012a880311e71136f20f41c964912","author":{"name":"Tugrul Ates","email":"716845cc31b39d291855cdce64e5450b258da84d@fb.com"},"message":"Optional ScalarType for mean","distinct":true,"url":"https://api.github.com/repos/tugrulates/pytorch/commits/bf886d65bb2012a880311e71136f20f41c964912"},{"sha":"1795ecb0764961e501500ac3a778a6f417452aa5","author":{"name":"Tugrul Ates","email":"716845cc31b39d291855cdce64e5450b258da84d@fb.com"},"message":"Optional ScalarType for softmax","distinct":true,"url":"https://api.github.com/repos/tugrulates/pytorch/commits/1795ecb0764961e501500ac3a778a6f417452aa5"},{"sha":"30c5ec63c2b1fe47f4478f5679e82aa63393901f","author":{"name":"Tugrul Ates","email":"716845cc31b39d291855cdce64e5450b258da84d@fb.com"},"message":"Optional ScalarType for log_softmax","distinct":true,"url":"https://api.github.com/repos/tugrulates/pytorch/commits/30c5ec63c2b1fe47f4478f5679e82aa63393901f"}]}
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