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data copy ops #15164

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Merged
merged 1 commit into from
Oct 17, 2025
Merged

data copy ops #15164

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4 changes: 0 additions & 4 deletions backends/cadence/aot/ops_registrations.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,8 +55,6 @@ def _validate_ref_impl_exists() -> None:
_WARN_ONLY = {
"cadence::quantized_w8a32_linear",
"cadence::quantized_add", # We should only support per_tensor variant, should remove
"cadence::idma_store",
"cadence::idma_load",
"cadence::_softmax_f32_f32",
"cadence::requantize", # We should only support per_tensor variant, should remove
"cadence::quantized_softmax.per_tensor",
Expand All @@ -70,13 +68,11 @@ def _validate_ref_impl_exists() -> None:
"cadence::quantized_relu", # We should only support per_tensor variant, should remove
"cadence::linalg_svd",
"cadence::quantized_conv2d_nhwc", # We should only support per_tensor variant, should remove
"cadence::idma_copy",
"cadence::quantize_per_tensor_asym16u",
"cadence::dequantize_per_tensor_asym8s",
"cadence::quantize_per_tensor_asym16s",
"cadence::dequantize_per_tensor_asym16s",
"cadence::quantized_softmax",
"cadence::idma_wait",
"cadence::quantized_w8a32_gru",
"cadence::quantized_layer_norm", # We should only support per_tensor variant, should remove
}
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20 changes: 20 additions & 0 deletions backends/cadence/aot/ref_implementations.py
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Expand Up @@ -1636,3 +1636,23 @@ def quantized_embedding_byte(
)

return weight[indices]


@impl_tracked(m, "idma_copy")
def idma_copy(src: torch.Tensor, task_num: int = 0, channel: int = 0) -> torch.Tensor:
return src.clone()


@impl_tracked(m, "idma_store")
def idma_store(src: torch.Tensor, task_num: int = 0, channel: int = 0) -> torch.Tensor:
return src.clone()


@impl_tracked(m, "idma_load")
def idma_load(src: torch.Tensor, task_num: int = 0, channel: int = 0) -> torch.Tensor:
return src.clone()


@impl_tracked(m, "idma_wait")
def idma_wait(src: torch.Tensor, task_num: int = 0, channel: int = 0) -> torch.Tensor:
return src.clone()
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