- Sort Score
- Result 10 results
- Languages All
Results 41 - 50 of 127 for getDefiningOp (0.35 sec)
-
tensorflow/compiler/mlir/lite/transforms/dilated_conv.h
} // Check if the ConvOp's input is defined by `Expand` op, and the output used // by `Squeeze` op. Operation* producer_op = op.getOperand(0).getDefiningOp(); if (!producer_op || producer_op->getNumResults() != 1) { return rewriter.notifyMatchFailure( op, "op doesn't have a producer node that has a single result"); } if (!producer_op->hasOneUse() ||
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 20K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/lift_quantizable_spots_as_functions.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 16.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/ops/tf_quantize_op.cc
ShapedType result_type, StringRef func_name, Value& func_input_arg) { Operation* input_op = input_val.getDefiningOp(); Operation* insertion_point = input_op->getParentOfType<func::FuncOp>(); if (!insertion_point) insertion_point = input_op->getParentOfType<ModuleOp>(); rewriter.setInsertionPointAfter(insertion_point);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
add_op != nullptr && !isa<stablehlo::ConstantOp>(add_op->getOperand(1).getDefiningOp())) { LLVM_DEBUG(llvm::dbgs() << "Expected a `stablehlo.constant` as the " << "rhs of `stablehlo.add`.\n"); } // Make sure the filter is a constant or a constant transpose. Operation* filter_op = filter.getDefiningOp(); const bool is_constant = isa_and_nonnull<stablehlo::ConstantOp>(filter_op);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/quantization_patterns.h
// The input of the quantize op has already been quantized, i.e. // rescale. return failure(); } Operation* operand_op = operand.getDefiningOp(); if (operand_op == nullptr) { // When `QuantizeOpT`'s operand does not have a defining op, it means it // is a `BlockArgument`. The pattern does not match if there is no op to // quantize.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_stablehlo_to_vhlo.cc
auto new_value = converter.materializeArgumentConversion( rewriter, result.getLoc(), type, {result}); rewriter.replaceAllUsesExcept(result, new_value, new_value.getDefiningOp()); } // Wrap operands in an an unrealized cast to create a cast to buffer any type // changes to the operand, and apply type converter to operands: // V0 = op(operand) // ==>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 15 19:48:51 UTC 2024 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/default_quant_params.cc
// This value isn't an expressed type (float), skip. if (!new_type) return; Block &block = value.getParentRegion()->front(); Operation *op = value.getDefiningOp(); if (op) { builder.setInsertionPoint(&block, ++Block::iterator(op)); } else { builder.setInsertionPointToStart(&block); } TypeAttr type_attr = TypeAttr::get(new_type);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/remove_vars_in_session_initializer.cc
} } erase_list.push_back(op); for (auto& use : op->getOpOperands()) { if (auto op_result = mlir::dyn_cast<mlir::OpResult>(use.get())) { Operation* def = op_result.getDefiningOp(); if (!dead_ops.insert(def).second) continue; RecursiveRemove(def, erase_list, dead_ops); } } } void RemoveVariables(llvm::ArrayRef<VarHandleOp> vars) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize.cc
return; } // Invariant: // isa<quantfork::QuantizeCastOp>(dq_arg.getDefiningOp()) --> // getdq_arg.getType() != q_op.getResult().getType() // // as otherwise qdq pair would have been optimized away. auto qd_arg_def_q_op = dyn_cast_or_null<quantfork::QuantizeCastOp>(dq_arg.getDefiningOp()); if (!qd_arg_def_q_op) { return; } qd_arg_def_q_op.emitWarning()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.h
template <typename T = Operation*> Operation* FindOperandOfType(Operation* op) { for (Value operand_value : op->getOperands()) { if (isa<T>(operand_value.getDefiningOp())) { return operand_value.getDefiningOp(); } } return nullptr; } // Returns the function attribute for the given call op which is lifted for // quantization.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.9K bytes - Viewed (0)