Allow targets to pass with -fsanitize=null
under --config=asan
.
PiperOrigin-RevId: 306895712 Change-Id: I50cc7bf6332865631227b56d2f40215c38dcd056
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28caea9247
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@ -2204,7 +2204,7 @@ Status SpaceToBatchShapeHelper(InferenceContext* c, ShapeHandle input_shape,
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DimensionHandle batch_size = c->Dim(input_shape, 0);
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std::vector<int64> block_shape_vec;
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if (block_shape_t) {
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if (block_shape_t && (block_shape_t->NumElements() > 0)) {
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block_shape_vec = GetFlatInt64(*block_shape_t);
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for (int64 dim = 0; dim < num_block_dims; ++dim) {
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const int64 block_shape_value = block_shape_vec[dim];
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@ -2225,7 +2225,7 @@ Status SpaceToBatchShapeHelper(InferenceContext* c, ShapeHandle input_shape,
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std::vector<DimensionHandle> output_dims{batch_size};
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output_dims.resize(num_block_dims + 1, c->UnknownDim());
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if (paddings_t) {
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if (paddings_t && (paddings_t->NumElements() > 0)) {
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const std::vector<int64> paddings_vec = GetFlatInt64(*paddings_t);
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for (int64 dim = 0; dim < num_block_dims; ++dim) {
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const int64 pad_start = paddings_vec[dim * 2],
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@ -1442,6 +1442,16 @@ TEST(ArrayOpsTest, SpaceToBatchND_ShapeFn) {
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op.input_tensors[2] = nullptr;
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}
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{
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Tensor block_shape = test::AsTensor<int32>({});
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op.input_tensors[1] = &block_shape;
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Tensor paddings = test::AsTensor<int32>({});
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op.input_tensors[2] = &paddings;
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INFER_OK(op, "?;[0];[0,2]", "?");
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op.input_tensors[1] = nullptr;
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op.input_tensors[2] = nullptr;
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}
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INFER_ERROR("rank", op, "[1,3,3,1];[2];[1]");
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INFER_ERROR("shape", op, "[1,3,3,1];[2];[1,2]");
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}
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