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Results 1 - 2 of 2 for getNumArguments (0.12 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
} bool ShapeInference::InferShapeForDatasetOpCommon(Operation* op, FuncOp f, int64_t max_iterations) { int N = op->getNumOperands() - 1; int M = f.getNumArguments() - N; DCOMMENT_OP(op, "Inferring shape for with N = " << N << " and M = " << M); // Initialize with function input types. auto input_types = llvm::to_vector<1>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
mlir::dyn_cast_or_null<mlir::StringAttr>(dict_attr.get("inputs"))) { str.getValue().split(input_names, ',', /*MaxSplit=*/-1, /*KeepEmpty=*/false); if (input_names.size() != fn.getNumArguments()) { fn.emitWarning() << "invalid entry function specification"; return; } for (const auto& it : llvm::enumerate(fn.getArguments())) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0)