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tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
int64_t size = padding_low[i] + shape[i] + (shape[i] - 1) * padding_interm[i]; padding_high.push_back(input_dim - size); } else { dims_to_reverse.push_back(i); padding_high.push_back(input_dim - begin_indices[i] - 1); padding_interm.push_back(-strides[i] - 1); // Pad the lower dimension up to the expected input shape.
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