jainris commented on a change in pull request #6303:
URL: https://github.com/apache/incubator-tvm/pull/6303#discussion_r475451513
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File path: src/relay/op/tensor/transform.cc
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@@ -3093,5 +3093,55 @@ RELAY_REGISTER_OP("sparse_to_dense")
.set_attr<FInferCorrectLayout>("FInferCorrectLayout",
ElemwiseArbitraryLayout)
.set_attr<FTVMCompute>("FTVMCompute", SparseToDenseCompute);
+// relay.matrix_set_diag
+bool MatrixSetDiagRel(const Array<Type>& types, int num_inputs, const Attrs&
attrs,
+ const TypeReporter& reporter) {
+ // `types` contains: [input, diagonal, result]
+ CHECK_EQ(types.size(), 3);
+
+ const auto* input = types[0].as<TensorTypeNode>();
+ CHECK(input);
+
+ const auto* diagonal = types[1].as<TensorTypeNode>();
+ CHECK(diagonal);
+
+ int d_ndims = diagonal->shape.size();
+ for (int i = 0; i < d_ndims - 1; i++) {
+ reporter->AssertEQ(input->shape[i], diagonal->shape[i]);
+ }
+ auto min_dim = if_then_else(input->shape[d_ndims - 1] >=
input->shape[d_ndims],
+ input->shape[d_ndims], input->shape[d_ndims -
1]);
Review comment:
Thanks for reviewing.
`if_then_else` is needed here because `input->shape[i]` is a `PrimExpr`, and
so `a ? x : y` can't be used.
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