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tensorflow/compiler/mlir/tensorflow/transforms/optimize.cc
// TODO(rahulsp) : Handle this case with more careful checks. if (reshape_shape.size() < non_unit_dims.size()) return failure(); SmallVector<int64_t, 4> old_reshape_non_unit_dims; SmallVector<int64_t, 4> new_reshape_dims; int new_reshape_dim_idx = 0; for (int64_t dim : reshape_shape) { int new_reshape_dim = 1; if (dim != 1) {
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