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tensorflow/compiler/mlir/lite/transforms/optimize_batch_matmul.cc
return failure(); } // The input tensors x and y are 2-D or higher with shape: // [..., r_x == 1, c_x] and [..., c_y, r_y]. // The position of r_* and c_* are determined by the polarity of // the adj(X|Y) attribute, respectively. // So adjX == True indicates [..., c_x, r_x == 1]. llvm::ArrayRef<int64_t> lhs_shape = mlir::cast<RankedTensorType>(bmm_op.getX().getType()).getShape();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.6K bytes - Viewed (0)