Nikita Shulga 71caac2b30 [MPSInductor] Add rand support (#145705) ... Using Philox4 as PRNG Test plan (other that CI) Run ```python mport torch from torch._inductor.utils import run_and_get_code from contextlib import nullcontext def foo(x): return x * torch.randn_like(x) foo_c = torch.compile(foo) x = torch.ones(100, 100, device="mps") y = foo_c(x) print(y.mean().item(), y.std().item()) for i in range(25): print(y[i].mean(), y[i].std()) ``` And observe that printed values are close to 0 and 1 TODO: Better `randint` algorithm for large ranges Pull Request resolved: https://github.com/pytorch/pytorch/pull/145705 Approved by: https://github.com/dcci, https://github.com/jansel		2025-01-27 06:07:36 +00:00
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benchmark
core	[autocast][pytorch] Support autocast for MTIA (#145627)	2025-01-25 03:24:59 +00:00
cuda	Set RUNPATH on CUDA and XPU tests (#144305)	2025-01-26 08:40:22 +00:00
hip
macros	[ROCm][Windows] Fix export macros (#144098)	2025-01-04 17:12:46 +00:00
metal	[MPSInductor] Add rand support (#145705)	2025-01-27 06:07:36 +00:00
mobile
test	c10::string_view -> std::string_view in pytorch (#143591)	2025-01-13 21:44:05 +00:00
util	Fix PythonMod printing for C++ (#143385)	2025-01-22 14:58:35 +00:00
xpu	Set RUNPATH on CUDA and XPU tests (#144305)	2025-01-26 08:40:22 +00:00
BUCK.oss
BUILD.bazel
build.bzl
CMakeLists.txt
ovrsource_defs.bzl