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tensorflow/compiler/mlir/lite/transforms/optimize.cc
int input_last_dim = input_ty.getShape().back(); if (input_last_dim < 1) return std::nullopt; int num_result = result_ty.getNumElements(); auto size_last = *(--size.value_end<APInt>()); int32_t k = size_last.getSExtValue(); if (num_input / input_last_dim * k != num_result) return std::nullopt; // We don't match sliceOp with last dim size = 0. if (!k) return std::nullopt;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0)