[mlir][tosa] Add verifier checks for Gather

mlir/lib/Dialect/Tosa/IR/TosaOps.cpp

@@ -2262,8 +2262,52 @@ LogicalResult tosa::GatherOp::inferReturnTypeComponents(
 }
 
 LogicalResult tosa::GatherOp::verify() {
-  return verifySameElementTypes(*this, /* inType = */ getValues().getType(),
-                                /* outType = */ getOutput().getType());
+  if (verifySameElementTypes(*this, /* inType = */ getValues().getType(),
+                             /* outType = */ getOutput().getType())
+          .failed()) {
+    return failure();
+  }
+
+  const ShapeAdaptor valuesShape(getValues().getType());
+  const ShapeAdaptor indicesShape(getIndices().getType());
+  const ShapeAdaptor outputShape(getOutput().getType());
+
+  int64_t N = ShapedType::kDynamic;
+  int64_t W = ShapedType::kDynamic;
+  int64_t C = ShapedType::kDynamic;
+
+  if (valuesShape.hasRank()) {
+    N = valuesShape.getDimSize(0);
+    C = valuesShape.getDimSize(2);
+  }
+  if (indicesShape.hasRank()) {
+    const int64_t indicesN = indicesShape.getDimSize(0);
+    W = indicesShape.getDimSize(1);
+    if (N == ShapedType::kDynamic)
+      N = indicesN;
+    else if (indicesN != ShapedType::kDynamic && N != indicesN)
+      return emitOpError() << "requires indices dimension 0 to have size " << N
+                           << ", got " << indicesN;
+  }
+  if (outputShape.hasRank()) {
+    const int64_t outputN = outputShape.getDimSize(0);
+    const int64_t outputW = outputShape.getDimSize(1);
+    const int64_t outputC = outputShape.getDimSize(2);
+    if (N != ShapedType::kDynamic && outputN != ShapedType::kDynamic &&
+        N != outputN)
+      return emitOpError() << "requires output dimension 0 to have size " << N
+                           << ", got " << outputN;
+
+    if (W != ShapedType::kDynamic && outputW != ShapedType::kDynamic &&
+        W != outputW)
+      return emitOpError() << "requires output dimension 1 to have size " << W
+                           << ", got " << outputW;
+    if (C != ShapedType::kDynamic && outputC != ShapedType::kDynamic &&
+        C != outputC)
+      return emitOpError() << "requires output dimension 2 to have size " << C
+                           << ", got " << outputC;
+  }
+  return success();
 }
 
 LogicalResult tosa::ResizeOp::inferReturnTypeComponents(

mlir/test/Dialect/Tosa/verifier.mlir

@@ -370,3 +370,36 @@ func.func @test_error_scalar_input_with_per_channel(%arg0: tensor<i8>) -> tensor
   %0 = tosa.rescale %arg0, %multiplier, %shift, %input_zp, %output_zp {scale32 = true, rounding_mode = "SINGLE_ROUND", per_channel = true, input_unsigned = false, output_unsigned = false} : (tensor<i8>, tensor<1xi32>, tensor<1xi8>, tensor<1xi8>, tensor<1xi16>) -> tensor<i16>
   return %0 : tensor<i16>
 }
+
+// -----
+
+// CHECK-LABEL: @test_gather_invalid_indices_N
+func.func @test_gather_invalid_indices_N(%arg0: tensor<13x21x3xf32>, %arg1: tensor<12x26xi32>) -> tensor<13x26x3xf32> {
+  // expected-error@+1 {{'tosa.gather' op requires indices dimension 0 to have size 13, got 12}}
+  %0 = tosa.gather %arg0, %arg1 : (tensor<13x21x3xf32>, tensor<12x26xi32>) -> tensor<13x26x3xf32>
+  return %0 : tensor<13x26x3xf32>
+}
+
+// -----
+// CHECK-LABEL: test_gather_invalid_out_N
+func.func @test_gather_invalid_out_N(%arg0: tensor<13x21x3xf32>, %arg1: tensor<13x26xi32>) -> tensor<12x26x3xf32> {
+  // expected-error@+1 {{'tosa.gather' op requires output dimension 0 to have size 13, got 12}}
+  %0 = tosa.gather %arg0, %arg1 : (tensor<13x21x3xf32>, tensor<13x26xi32>) -> tensor<12x26x3xf32>
+  return %0 : tensor<12x26x3xf32>
+}
+
+// -----
+// CHECK-LABEL: test_gather_invalid_out_W
+func.func @test_gather_invalid_out_W(%arg0: tensor<13x21x3xf32>, %arg1: tensor<13x26xi32>) -> tensor<13x28x3xf32> {
+  // expected-error@+1 {{'tosa.gather' op requires output dimension 1 to have size 26, got 28}}
+  %0 = tosa.gather %arg0, %arg1 : (tensor<13x21x3xf32>, tensor<13x26xi32>) -> tensor<13x28x3xf32>
+  return %0 : tensor<13x28x3xf32>
+}
+
+// -----
+// CHECK-LABEL: test_gather_invalid_out_C
+func.func @test_gather_invalid_out_C(%arg0: tensor<13x21x3xf32>, %arg1: tensor<13x26xi32>) -> tensor<13x26x8xf32> {
+  // expected-error@+1 {{'tosa.gather' op requires output dimension 2 to have size 3, got 8}}
+  %0 = tosa.gather %arg0, %arg1 : (tensor<13x21x3xf32>, tensor<13x26xi32>) -> tensor<13x26x8xf32>
+  return %0 : tensor<13x26x8xf32>
+}