[Regression] Increase benchmark iters and update perf data #328
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vadiklyutiy
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Jul 22, 2024
… `register_functions.py` (#328) Previously, during multiple compilation runs, a mysterious-looking error like this was encountered: > torch._dynamo.exc.BackendCompilerFailed: backend='hidet' raised: > RuntimeError: , occurred when interpreting reshape with > tensor_reshape(tensor(...), (4741, 4)) The cause is that, if the `shape` argument passed to `tensor_shape` is a tuple, then in the call `return ops.reshape(self, shape)`, the `shape` passed to `ops.reshape` will be a single-element tuple, with its only element being the `shape` tuple passed to `tensor_reshape`. This PR fixes the issue.
vadiklyutiy
pushed a commit
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Jul 23, 2024
… `register_functions.py` (#328) Previously, during multiple compilation runs, a mysterious-looking error like this was encountered: > torch._dynamo.exc.BackendCompilerFailed: backend='hidet' raised: > RuntimeError: , occurred when interpreting reshape with > tensor_reshape(tensor(...), (4741, 4)) The cause is that, if the `shape` argument passed to `tensor_shape` is a tuple, then in the call `return ops.reshape(self, shape)`, the `shape` passed to `ops.reshape` will be a single-element tuple, with its only element being the `shape` tuple passed to `tensor_reshape`. This PR fixes the issue.
vadiklyutiy
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that referenced
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Dec 26, 2024
… `register_functions.py` (#328) Previously, during multiple compilation runs, a mysterious-looking error like this was encountered: > torch._dynamo.exc.BackendCompilerFailed: backend='hidet' raised: > RuntimeError: , occurred when interpreting reshape with > tensor_reshape(tensor(...), (4741, 4)) The cause is that, if the `shape` argument passed to `tensor_shape` is a tuple, then in the call `return ops.reshape(self, shape)`, the `shape` passed to `ops.reshape` will be a single-element tuple, with its only element being the `shape` tuple passed to `tensor_reshape`. This PR fixes the issue.
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