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Results 1 - 10 of 457 for vecotr (0.13 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
const ShapedType &padding_ty = padding_attr.getType(); if (padding_ty.getRank() != 2 || padding_ty.getDimSize(1) != 2) return op.emitOpError() << "expects padding to be a matrix with minor dimension 2"; if (lhs_dilation_attr.getType().getRank() != 1) return op.emitOpError() << "expects lhs_dilation to be a vecotr";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
src/crypto/internal/hpke/hpke_test.go
vectorsJSON, err := os.ReadFile("testdata/rfc9180-vectors.json") if err != nil { t.Fatal(err) } var vectors []struct { Name string Setup string Encryptions string } if err := json.Unmarshal(vectorsJSON, &vectors); err != nil { t.Fatal(err) } for _, vector := range vectors { t.Run(vector.Name, func(t *testing.T) { setup := parseVectorSetup(vector.Setup)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 22:33:33 UTC 2024 - 4.7K bytes - Viewed (0) -
src/crypto/internal/hpke/testdata/rfc9180-vectors.json
Roland Shoemaker <******@****.***> 1715710616 -0700
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 22:33:33 UTC 2024 - 17.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/tf2xla_rewriter.h
// Given the required_consts, it will fill the 3 output vectors with // their respective data. // Expressions: Output XLA expressions as required by the compiled kernel. // Tensors: Vector of tensors that back the TensorValue inputs // Inputs: Vector of inputs that are backed by tensors. mlir::LogicalResult PrepareKernelInputs( const llvm::SmallDenseSet<int>& required_consts, std::vector<tensorflow::XlaExpression>& expressions,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:16:07 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter.cc
#include <cstdint> #include <map> #include <optional> #include <string> #include <utility> #include <vector> #include "flatbuffers/buffer.h" // from @flatbuffers #include "flatbuffers/flatbuffer_builder.h" // from @flatbuffers #include "flatbuffers/string.h" // from @flatbuffers #include "flatbuffers/vector.h" // from @flatbuffers #include "llvm/Support/Casting.h" #include "mlir/Dialect/Arith/IR/Arith.h" // from @llvm-project
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 7.5K bytes - Viewed (0) -
src/crypto/rsa/pss_test.go
} } // TestPSSGolden tests all the test vectors in pss-vect.txt from // ftp://ftp.rsasecurity.com/pub/pkcs/pkcs-1/pkcs-1v2-1-vec.zip func TestPSSGolden(t *testing.T) { inFile, err := os.Open("testdata/pss-vect.txt.bz2") if err != nil { t.Fatalf("Failed to open input file: %s", err) } defer inFile.Close() // The pss-vect.txt file contains RSA keys and then a series of
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 18:42:28 UTC 2024 - 8.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_pipelining.cc
return op->hasAttr(TF::kReplicationInfoAttr); } template <typename Vector, typename Container> void Append(Vector& a, const Container& b) { a.insert(a.end(), b.begin(), b.end()); } template <typename Vector> void Append(Vector& a, const Vector& b) { a.insert(a.end(), b.begin(), b.end()); } int64_t GetNumOps(func::FuncOp func) { int64_t num_ops = 0;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 92.9K bytes - Viewed (0) -
src/crypto/ed25519/ed25519_test.go
if err != nil { t.Fatal(err) } if !bytes.Equal(sig, expectedSig) { t.Error("signature doesn't match test vector") } sig, err = private.Sign(nil, hash[:], &Options{Hash: crypto.SHA512}) if err != nil { t.Fatal(err) } if !bytes.Equal(sig, expectedSig) { t.Error("signature doesn't match test vector") } if err := VerifyWithOptions(public, hash[:], sig, &Options{Hash: crypto.SHA512}); err != nil {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Mar 27 18:23:49 UTC 2024 - 10.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/einsum.cc
// contains the dimensions appearing in the RHS and the OUTPUT of the einsum // but not in the LHS. std::vector<int64_t> lhs; std::vector<int64_t> rhs; std::vector<std::tuple<int64_t, int64_t>> lhs_rhs; std::vector<std::tuple<int64_t, int64_t>> lhs_out; std::vector<std::tuple<int64_t, int64_t>> rhs_out; std::vector<std::tuple<int64_t, int64_t, int64_t>> lhs_rhs_out; }; TF::ReshapeOp createOutputReshapeOpForDynamic(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 33.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.cc
static absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> GraphdefToMlirImport( llvm::StringRef input, const std::vector<std::string>& input_arrays, const std::vector<std::string>& input_dtypes, const std::vector<std::optional<std::vector<int>>>& input_shapes, const std::vector<std::string>& output_arrays, const std::vector<std::string>& control_output_arrays, const GraphdefToMlirOptions& import_options, mlir::MLIRContext* context) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 11:51:44 UTC 2024 - 14.1K bytes - Viewed (0)