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Results 1 - 3 of 3 for printOperands (0.67 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_executor.cc
p << ' '; auto operands = getOperands(); // Print the 2 data operands. p.printOperands(operands.begin(), std::next(operands.begin(), 2)); p << " of " << (getNumResults() - 1); // print control dependencies if any if (!getControlInputs().empty()) { p << " ("; p.printOperands(getControlInputs()); p << ")"; } p << " : " << getType(0);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 42.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_device.cc
if (block_arg_num < num_replicated_block_args) { p << '['; p.printOperands( std::next(getReplicatedInputs().begin(), block_arg_num * n), std::next(getReplicatedInputs().begin(), (block_arg_num + 1) * n)); p << "]"; } else { p.printOperand(*std::next(getPackedInputs().begin(), block_arg_num - num_replicated_block_args));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 33.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
if (llvm::any_of(op->getOperandTypes(), [&](Type type) { return type != resultType; })) { p.printGenericOp(op, /*printOpName=*/false); return; } p << ' '; p.printOperands(op->getOperands()); p.printOptionalAttrDict(op->getAttrs()); // Now we can output only one type for all operands and the result. p << " : " << resultType; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0)