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tensorflow/compiler/mlir/tensorflow/utils/convert_type.cc
switch (itype.getWidth()) { case 1: *dtype = DT_BOOL; return absl::OkStatus(); case 4: *dtype = itype.isUnsigned() ? DT_UINT4 : DT_INT4; return absl::OkStatus(); case 8: *dtype = itype.isUnsigned() ? DT_UINT8 : DT_INT8; return absl::OkStatus(); case 16:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 7.5K bytes - Viewed (0) -
src/crypto/tls/tls_test.go
} keyPEM := pem.EncodeToMemory(&pem.Block{Type: "PRIVATE KEY", Bytes: keyDER}) tmpl := &x509.Certificate{ SerialNumber: big.NewInt(1), Subject: pkix.Name{CommonName: "test"}, } certDER, err := x509.CreateCertificate(rand.Reader, tmpl, tmpl, key.Public(), key) if err != nil { t.Fatal(err) } certPEM := pem.EncodeToMemory(&pem.Block{Type: "CERTIFICATE", Bytes: certDER})
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 03:10:12 UTC 2024 - 60.5K bytes - Viewed (0) -
src/runtime/type.go
// license that can be found in the LICENSE file. // Runtime type representation. package runtime import ( "internal/abi" "unsafe" ) type nameOff = abi.NameOff type typeOff = abi.TypeOff type textOff = abi.TextOff type _type = abi.Type // rtype is a wrapper that allows us to define additional methods. type rtype struct { *abi.Type // embedding is okay here (unlike reflect) because none of this is public
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:17:26 UTC 2024 - 12.7K bytes - Viewed (0) -
src/cmd/compile/internal/ir/type.go
func TypeNode(t *types.Type) Node { if n := t.Obj(); n != nil { if n.Type() != t { base.Fatalf("type skew: %v has type %v, but expected %v", n, n.Type(), t) } return n.(*Name) } return newTypeNode(t) } // A DynamicType represents a type expression whose exact type must be // computed dynamically. type DynamicType struct { miniExpr
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Sun Aug 20 05:56:49 UTC 2023 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-data-type.pbtxt
# Test the handling of the input data types. In particular, if the data type # for an input graph node is specified via command line options, use it. # otherwise, use the data type of the node in the graph. node { name: "p" op: "Placeholder" attr { key: "dtype" value { type: DT_BOOL } } attr { key: "shape" value { shape {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 10 19:32:15 UTC 2020 - 1.2K bytes - Viewed (0) -
src/cmd/link/internal/ld/elf.go
if esr == 0 { ldr.Errorf(s, "reloc %d (%s) to non-elf symbol %s (outer=%s) %d (%s)", r.Type(), sym.RelocName(ctxt.Arch, r.Type()), ldr.SymName(r.Sym()), ldr.SymName(rr.Xsym), ldr.SymType(r.Sym()), ldr.SymType(r.Sym()).String()) } if !ldr.AttrReachable(rr.Xsym) { ldr.Errorf(s, "unreachable reloc %d (%s) target %v", r.Type(), sym.RelocName(ctxt.Arch, r.Type()), ldr.SymName(rr.Xsym)) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 22 13:29:54 UTC 2024 - 63.6K bytes - Viewed (0) -
src/runtime/runtime-gdb.py
except Exception as e: print("Can't parse ", obj, ": ", e) continue if obj['data'] == 0: dtype = "nil" else: dtype = iface_dtype(obj) if dtype is None: print("Not an interface: ", obj.type) continue print("{0}: {1}".format(obj.type, dtype)) # TODO: print interface's methods and dynamic type's func pointers thereof.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 10 12:59:20 UTC 2023 - 15.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/ref-type-attr.mlir
// Verify that attribute T is not set as ref type. // CHECK-LABEL: name: "Ref_Variable" // CHECK-LABEL: name: "foo" // CHECK: attr { // CHECK-NEXT: key: "T" // CHECK-NEXT: value { // CHECK-NEXT: type: DT_INT32{{$}} // CHECK-NEXT: } // CHECK-NEXT: } func.func @main() { tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 775 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-multi-data-type-with-subtype.pbtxt
} } node { name: "x" op: "Placeholder" attr { key: "dtype" value { type: DT_VARIANT } } attr { key: "shape" value { shape { unknown_rank: true } } } } node { name: "y" op: "Placeholder" attr { key: "dtype" value { type: DT_INT8 } } attr { key: "shape" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 07 18:11:42 UTC 2022 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-data-type-with-subtype.pbtxt
# Test the handling of the input data types. In particular, if the data type # for an input graph node is specified via command line options, use it. # otherwise, use the data type of the node in the graph. node { name: "p" op: "Placeholder" attr { key: "dtype" value { type: DT_INT32 } } attr { key: "shape" value { shape {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 27 00:16:51 UTC 2022 - 1.5K bytes - Viewed (0)