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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
padding_value ; otherwise. ``` where `y = max(-k[1], 0)`, `x = max(k[1], 0)`. Otherwise, the output tensor has rank `r` with dimensions `[I, J, ..., L, num_diags, max_diag_len]` with values: ``` diagonal[i, j, ..., l, m, n] = input[i, j, ..., l, n+y, n+x] ; if 0 <= n+y < M and 0 <= n+x < N, padding_value ; otherwise. ```
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