Enforce no output rewrite REQUIRE in SCATTER

Signed-off-by: Jeremy Johnson <jeremy.johnson@arm.com>
Change-Id: I3555e7216d403d436bf6e39d4b16bb000645c4bb

1 files changed, 16 insertions, 6 deletions

diff --git a/reference_model/src/ops/scatter_gather.cc b/reference_model/src/ops/scatter_gather.cc
index 65d61b6..bd16ad1 100644
--- a/reference_model/src/ops/scatter_gather.cc
+++ b/reference_model/src/ops/scatter_gather.cc
@@ -133,25 +133,25 @@ int OpScatter<Dtype>::checkTensorAttributes()
 
     if (inputs[0]->getRank() != 3)
     {
-        printNodeValidationError("OpGather: values_in needs to be rank 3 tensor");
+        printNodeValidationError("OpScatter: values_in needs to be rank 3 tensor");
         return 1;
     }
 
     if (inputs[1]->getRank() != 2)
     {
-        printNodeValidationError("OpGather: indices needs to be rank 2 tensor");
+        printNodeValidationError("OpScatter: indices needs to be rank 2 tensor");
         return 1;
     }
 
     if (inputs[2]->getRank() != 3)
     {
-        printNodeValidationError("OpGather: input needs to be rank 3 tensor");
+        printNodeValidationError("OpScatter: input needs to be rank 3 tensor");
         return 1;
     }
 
     if (outputs[0]->getRank() != 3)
     {
-        printNodeValidationError("OpGather: values_out needs to be rank 3 tensor");
+        printNodeValidationError("OpScatter: values_out needs to be rank 3 tensor");
         return 1;
     }
 
@@ -168,13 +168,13 @@ int OpScatter<Dtype>::checkTensorAttributes()
 
     if (W != inputs[1]->getShape()[1])
     {
-        printNodeValidationError("OpGather: dimension W mismatch");
+        printNodeValidationError("OpScatter: dimension W mismatch");
         return 1;
     }
 
     if (C != inputs[0]->getShape()[2] || C != inputs[2]->getShape()[2])
     {
-        printNodeValidationError("OpGather: dimension C mismatch");
+        printNodeValidationError("OpScatter: dimension C mismatch");
         return 1;
     }
 
@@ -201,6 +201,12 @@ int OpScatter<Dtype>::eval()
     // Initializes the output tensor with the input value for values that are unchanged by the scatter operation.
     this->values_out->getTensor() = this->values_in->getTensor();
 
+    // Create array to check for double modification of output
+    std::array<Eigen::DenseIndex, 3> arrshape;
+    std::copy_n(outputs[0]->getShape().begin(), 3, arrshape.begin());
+    Eigen::Tensor<bool, 3> output_modified(arrshape);
+    output_modified.setZero();
+
     for (int n = 0; n < N; n++)
     {
         for (int w = 0; w < W; w++)
@@ -209,8 +215,12 @@ int OpScatter<Dtype>::eval()
             REQUIRE(k >= 0 && k < K, "OpScatter: index(%d, %d)=%d exceed valid range [0, %d]", n, w, k, K);
             for (int c = 0; c < C; c++)
             {
+                REQUIRE(output_modified(n, k, c) == false,
+                        "OpScatter: output index(%d, %d, %d) written to more than once %d", n, w, c,
+                        output_modified(n, k, c));
                 EigenType value                        = this->input->getTensor()(n, w, c);
                 this->values_out->getTensor()(n, k, c) = value;
+                output_modified(n, k, c)               = true;
             }
         }
     }