impl_abstract for permute_1D_sparse_data

Differential Revision: D50584541
pytorch · Oct 24, 2023 · ee60088 · ee60088
1 parent ae45de6
commit ee60088
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Showing 3 changed files with 32 additions and 10 deletions.
diff --git a/fbgemm_gpu/fbgemm_gpu/sparse_operators.py b/fbgemm_gpu/fbgemm_gpu/sparse_operators.py
@@ -45,3 +45,29 @@ def permute_2D_sparse_data_meta(
         # pyre-fixme
         permuted_weights = weights.new_empty(permuted_indices_size)
     return permuted_lengths, permuted_indices, permuted_weights
+
+
+@torch.library.impl_abstract("fbgemm::permute_1D_sparse_data")
+def permute_1D_sparse_data_meta(
+    permute: Tensor,
+    lengths: Tensor,
+    values: Tensor,
+    weights: Optional[Tensor] = None,
+    permuted_lengths_sum: Optional[int] = None,
+):
+    indices = values
+    permuted_lengths_size = permute.numel()
+    permuted_lengths = lengths.new_empty([permuted_lengths_size])
+    permuted_indices_size = 0
+    if permuted_lengths_sum is not None:
+        permuted_indices_size = permuted_lengths_sum
+    else:
+        ctx = torch._custom_op.impl.get_ctx()
+        permuted_indices_size = ctx.new_dynamic_size()
+    # pyre-fixme
+    permuted_indices = indices.new_empty(permuted_indices_size)
+    permuted_weights = None
+    if weights is not None:
+        # pyre-fixme
+        permuted_weights = weights.new_empty(permuted_indices_size)
+    return permuted_lengths, permuted_indices, permuted_weights
diff --git a/fbgemm_gpu/src/sparse_ops/sparse_ops_cpu.cpp b/fbgemm_gpu/src/sparse_ops/sparse_ops_cpu.cpp
@@ -2688,10 +2688,14 @@ TORCH_LIBRARY_FRAGMENT(fbgemm, m) {
       "permute_2D_sparse_data(Tensor permute, Tensor lengths, Tensor values, Tensor? weights=None, int? permuted_lengths_sum=None) -> (Tensor, Tensor, Tensor?)");
   m.impl_abstract_pystub(
       "permute_2D_sparse_data",
-      "fbgemm_gpu.operators",
-      "//deeplearning/fbgemm/fbgemm_gpu:operators");
+      "fbgemm_gpu.sparse_operators",
+      "//deeplearning/fbgemm/fbgemm_gpu:sparse_operators");
   m.def(
       "permute_1D_sparse_data(Tensor permute, Tensor lengths, Tensor values, Tensor? weights=None, int? permuted_lengths_sum=None) -> (Tensor, Tensor, Tensor?)");
+  m.impl_abstract_pystub(
+      "permute_1D_sparse_data",
+      "fbgemm_gpu.sparse_operators",
+      "//deeplearning/fbgemm/fbgemm_gpu:sparse_operators");
   m.def("invert_permute(Tensor permute) -> Tensor");
   m.def(
       "expand_into_jagged_permute(Tensor permute, Tensor input_offset, Tensor output_offset, int output_size) -> Tensor");

diff --git a/fbgemm_gpu/test/failures_dict.json b/fbgemm_gpu/test/failures_dict.json
@@ -507,18 +507,10 @@
       }
     },
     "fbgemm::permute_1D_sparse_data": {
-      "SparseOpsTest.test_aot_dispatch_dynamic__test_permute_indices": {
-        "comment": "",
-        "status": "xfail"
-      },
       "SparseOpsTest.test_aot_dispatch_static__test_permute_indices": {
         "comment": "",
         "status": "xfail"
       },
-      "SparseOpsTest.test_faketensor__test_permute_indices": {
-        "comment": "",
-        "status": "xfail"
-      },
       "SparseOpsTest.test_schema__test_permute_indices": {
         "comment": "flaky",
         "status": "skip"