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Fixed print tensor.type() issue. (#96381)
Fixes #95954 Updating the cpp printing. Pull Request resolved: https://github.com/pytorch/pytorch/pull/96381 Approved by: https://github.com/albanD
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@ -115,5 +115,22 @@ class TestCppExtensionOpenRgistration(common.TestCase):
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"Only can register a generator to the PrivateUse1 dispatch key once"):
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module.register_genertor()
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# check whether print tensor.type() meets the expectation
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torch.utils.rename_privateuse1_backend('foo')
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dtypes = {
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torch.bool: 'torch.foo.BoolTensor',
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torch.double: 'torch.foo.DoubleTensor',
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torch.float32: 'torch.foo.FloatTensor',
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torch.half: 'torch.foo.HalfTensor',
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torch.int32: 'torch.foo.IntTensor',
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torch.int64: 'torch.foo.LongTensor',
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torch.int8: 'torch.foo.CharTensor',
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torch.short: 'torch.foo.ShortTensor',
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torch.uint8: 'torch.foo.ByteTensor',
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}
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for tt, dt in dtypes.items():
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test_tensor = torch.empty(4, 4, dtype=tt, device=device)
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self.assertTrue(test_tensor.type() == dt)
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if __name__ == "__main__":
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common.run_tests()
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@ -19,6 +19,11 @@ using namespace at;
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namespace torch {
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namespace utils {
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const char* parse_privateuseone_backend() {
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static std::string backend_name = "torch." + get_privateuse1_backend();
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return backend_name.c_str();
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}
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static const char* backend_to_string(const at::Backend& backend) {
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switch (backend) {
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case at::Backend::CPU:
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@ -42,7 +47,7 @@ static const char* backend_to_string(const at::Backend& backend) {
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case at::Backend::MPS:
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return "torch.mps";
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case at::Backend::PrivateUse1:
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return "torch.privateuseone";
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return parse_privateuseone_backend();
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case at::Backend::Lazy:
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return "torch.lazy";
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case at::Backend::XLA:
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