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Route _neg_view_copy to ET neg kernel (#24194) - #24194
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/24194
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Summary: `aten::_neg_view_copy` (negation with view-copy autograd metadata, identical numerics to neg for inference) had no provider route, crashing at backend init (0x10). Add it to the ET spec table mapped to `aten::neg.out`. Reviewed By: digantdesai Differential Revision: D126929421
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Summary: `aten::_neg_view_copy` (negation with view-copy autograd metadata, identical numerics to neg for inference) had no provider route, crashing at backend init (0x10). Add it to the ET spec table mapped to `aten::neg.out`. Reviewed By: digantdesai Differential Revision: D126929421
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Summary: `aten::_neg_view_copy` (negation with view-copy autograd metadata, identical numerics to neg for inference) had no provider route, crashing at backend init (0x10). Add it to the ET spec table mapped to `aten::neg.out`. Reviewed By: digantdesai Differential Revision: D126929421
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Summary: CPU partitioning and delegate I/O required every tensor to be FP32, leaving indices, masks and integer outputs outside the delegate. Accept static uint8, int8, int16, int32, int64 and bool tensors, and validate runtime I/O against the serialized dtype. Existing allocation and ET kernel routes preserve the values without conversion through FP32. Integer delegation also exposes `index.Tensor`/`index_put`, whose indices are `Tensor?[]`. Native serialization emits a plain tensor list when every index is present, but ET's kernels unbox a list of optional tensors. Mark those Reference routes with `optional_tensor_lists` so the CPU runtime binds optional lists for them; the shared serializer and the other Native engines are unchanged. Add exact runtime regressions for integer precision, indices, mixed outputs, constants and optional index lists. Dynamic shapes/scalars and quantized execution remain separate. The Native schema and storage contract do not change. Authored with AI assistance using Codex and Claude Code. Reviewed By: digantdesai Differential Revision: D123332329
Summary: Adds `FuseBatchNormWithLinearPass` to `backends/transforms`, the linear counterpart of `FuseBatchNormWithConvPass`. It folds an inference batch norm into the preceding `aten.linear` weight and bias using `torch.nn.utils.fusion.fuse_linear_bn_weights`, so backends can drop the BN without serializing extra weights. Fusion only happens when it is numerically equivalent: the linear output must be rank 2 (the only case where BN's channel dim is linear's output dim), every weight/bias/running-stat input must be a constant parameter, BN must only be consumed through `getitem(0)`, and training-mode `native_batch_norm` is skipped. Authored with Claude Code. Reviewed By: digantdesai Differential Revision: D125532471
Summary: Run the shared `FuseBatchNormWithConvPass` and `FuseBatchNormWithLinearPass` in `CpuBackend.preprocess`. Unfused `_native_batch_norm_legit_no_training` already executes through the reference provider, but as a separate kernel with its own serialized weight and stats; folding it into the preceding conv/linear removes that kernel from the delegate. The passes are listed in `CPU_PREPROCESS_PASSES` (mirroring `XNNPACKPassManager.passes`) so every lowering flow gets them from one extension point. Fusion introduces `get_attr` constants, so preprocess follows with `lift_constant_tensor_pass` (the native serializer rejects unlifted constants), then drops parameter/buffer/constant inputs left without users. Without that step the delegate serialized the original weights and batch norm stats next to the fused ones. Authored with Claude Code. Reviewed By: digantdesai Differential Revision: D126784606
Summary: `aten::_neg_view_copy` (negation with view-copy autograd metadata, identical numerics to neg for inference) had no provider route, crashing at backend init (0x10). Add it to the ET spec table mapped to `aten::neg.out`. Reviewed By: digantdesai Differential Revision: D126929421
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Summary: `aten::_neg_view_copy` (negation with view-copy autograd metadata, identical numerics to neg for inference) had no provider route, crashing at backend init (0x10). Add it to the ET spec table mapped to `aten::neg.out`. Reviewed By: digantdesai Differential Revision: D126929421
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Summary: `aten::_neg_view_copy` (negation with view-copy autograd metadata, identical numerics to neg for inference) had no provider route, crashing at backend init (0x10). Add it to the ET spec table mapped to `aten::neg.out`. Reviewed By: digantdesai Differential Revision: D126929421
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Summary:
aten::_neg_view_copy(negation with view-copy autograd metadata, identical numerics to neg for inference) had no provider route, crashing at backend init (0x10). Add it to the ET spec table mapped toaten::neg.out.Reviewed By: digantdesai
Differential Revision: D126929421