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/freebsd/contrib/llvm-project/llvm/include/llvm/Analysis/Utils/
H A DTrainingLogger.h12 // - 0-decoding tensor values. Tensor values are potentially very large buffers
22 // - tensor values - raw bytes of the tensors, in the order given in the header.
24 // tensor values. At the end, there is a new line character.
30 // ease of debugging: the log can be opened in a text editor and, while tensor
32 // Of course, the buffer of tensor values could contain '\n' bytes. A reader
34 // tensor values, and not use line information for that.
40 // {"features":[list of TensorSpecs], "score":<a tensor spec>}
45 // <bytes for the tensor corresponding to the "score" spec in the header>
H A DTFUtils.h33 /// - set input values by using getInput to get each input tensor, and then
57 /// Get a (const) pointer to the first element of the tensor at Index.
66 /// Get a (const) pointer to the untyped data of the tensor.
/freebsd/contrib/llvm-project/llvm/include/llvm/Analysis/
H A DTensorSpec.h1 //===- TensorSpec.h - type descriptor for a tensor --------------*- C++ -*-===//
27 /// TensorSpec encapsulates the specification of a tensor: its dimensions, or
36 /// Known tensor types. The left part is the C type, the
83 /// Get the number of elements in a tensor with this shape.
87 /// Get the total size of a memory buffer needed to store the whole tensor.
H A DInteractiveModelRunner.h28 /// send observations; the host is expected to reply with a tensor value after
/freebsd/contrib/llvm-project/llvm/lib/Analysis/
H A DTFLiteUtils.cpp94 bool checkReportAndInvalidate(const TfLiteTensor *Tensor,
135 Interpreter->tensor(I)->allocation_type = in TFModelEvaluatorImpl()
159 Input[I] = Interpreter->tensor(MapI->second); in TFModelEvaluatorImpl()
196 bool TFModelEvaluatorImpl::checkReportAndInvalidate(const TfLiteTensor *Tensor, in checkReportAndInvalidate() argument
198 if (!Tensor) { in checkReportAndInvalidate()
202 if (Spec.getTotalTensorBufferSize() != Tensor->bytes) in checkReportAndInvalidate()
H A DTensorSpec.cpp1 //===- TensorSpec.cpp - tensor type abstraction ---------------------------===//
9 // Implementation file for the abstraction of a tensor type, and JSON loading
120 llvm_unreachable("invalid tensor type"); in tensorValueToString()
H A DModelUnderTrainingRunner.cpp67 "Found unsupported type for tensor named " + in loadOutputSpecs()
79 "which is a string to use as name when logging this tensor in the " in loadOutputSpecs()
84 Ctx.emitError("The first output spec must describe the decision tensor, " in loadOutputSpecs()
/freebsd/contrib/llvm-project/llvm/lib/CodeGen/
H A DMLRegallocEvictAdvisor.cpp
H A DMLRegAllocEvictAdvisor.cpp147 // candidate. Each such tensor has a scalar value corresponding to the
153 // tensor, as observed in the current decision making stage (i.e. for the
223 // name of the output tensor. The contract with the model is that the output
424 // Features we bind on the model. The tensor names have a prefix, and we also
/freebsd/contrib/pam_modules/pam_passwdqc/
H A Dwordset_4k.c3651 "tensor",
/freebsd/contrib/one-true-awk/testdir/
H A Dfunstack.ok2034 Herbert Robinson Elementary Divisors of Tensor Products 36--39
H A Dfunstack.in15317 title = "Elementary Divisors of Tensor Products",
15331 …abstract = "The elementary divisors of a tensor product of linear transformations have been kn…
15337 …visors; linear transformations; mathematical techniques; matrix algebra; tensor products; tensors",
/freebsd/share/dict/
H A Dweb2a2136 antisymmetrical tensor
15258 curvature tensor
16853 direction tensor
H A Dweb2200156 tensor
/freebsd/contrib/sendmail/
H A DRELEASE_NOTES5343 of MPI Saarbruecken, Griff Miller of PGS Tensor,