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tensorflow/c/eager/tape.h
// pushes and pops at the back. std::stack<AccumulatorCallState> call_state_; }; // Template instantiations here inline bool IsDtypeTrainable(DataType dtype) { switch (dtype) { case DT_HALF: case DT_BFLOAT16: case DT_FLOAT: case DT_DOUBLE: case DT_COMPLEX64: case DT_COMPLEX128: case DT_RESOURCE: case DT_VARIANT:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 02 12:40:29 UTC 2024 - 47.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
} tensorflow::AbstractTensorInterface* t = tensorflow::unwrap(ctx)->CreateTensor( static_cast<tensorflow::DataType>(dtype), dimvec); if (t == nullptr) { status->status = tensorflow::errors::InvalidArgument("Unsupported dtype: ", dtype); return nullptr; } return new TF_Tensor{t}; } TFE_TensorHandle* TFE_NewTensorHandleFromTensor(TFE_Context* ctx, TF_Tensor* t,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 11 23:52:39 UTC 2024 - 35.9K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device.cc
Status DefaultPaddedShapeFn(const Tensor& tensor, xla::Shape* shape) { const tensorflow::XlaTensor* xla_tensor = tensorflow::XlaTensor::FromTensor(&tensor); if (xla_tensor == nullptr) { return TensorShapeToXLAShape(tensor.dtype(), tensor.shape(), shape); } const xla::ShapedBuffer& shaped_buffer = xla_tensor->shaped_buffer(); *shape = shaped_buffer.on_device_shape(); return absl::OkStatus(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 21:05:42 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc
"'h_scale' type: 'float'} attr : { name: 'max_classes_per_detection' " "type: 'int'} attr : { name: 'max_detections' type: 'int'} attr : { " "name: 'nms_iou_threshold' type: 'float'} attr : { name: " "'nms_score_threshold' type: 'float'} attr : { name: 'num_classes' type: " "'int'} attr : { name: 'w_scale' type: 'float'} attr : { name: 'x_scale' "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 17.3K bytes - Viewed (0) -
src/go/doc/reader.go
// predeclared) type. The namedType for a type name is always found via // reader.lookupType. type namedType struct { doc string // doc comment for type name string // type name decl *ast.GenDecl // nil if declaration hasn't been seen yet isEmbedded bool // true if this type is embedded isStruct bool // true if this type is a struct embedded embeddedSet // true if the embedded type is a pointer
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 27.5K bytes - Viewed (0) -
src/go/internal/gcimporter/gcimporter_test.go
{"io.ReadWriter", "type ReadWriter interface{Reader; Writer}"}, {"go/ast.Node", "type Node interface{End() go/token.Pos; Pos() go/token.Pos}"}, {"go/types.Type", "type Type interface{String() string; Underlying() Type}"}, } func TestImportedTypes(t *testing.T) { testenv.MustHaveGoBuild(t) // This package only handles gc export data. if runtime.Compiler != "gc" {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 17 16:22:59 UTC 2024 - 21.9K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util_test.cc
CreateContext(); std::vector<XlaCompiler::Argument> args(2); args[0].kind = XlaCompiler::Argument::kParameter; args[0].type = DT_INT32; args[0].shape = TensorShape({1, 3}); args[1].kind = XlaCompiler::Argument::kParameter; args[1].type = DT_INT32; args[1].shape = TensorShape({1, 3}); const XlaCompiler::CompilationResult* result; xla::PjRtLoadedExecutable* executable;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 28.8K bytes - Viewed (0) -
src/database/sql/fakedb_test.go
} column, value := nameVal[0], nameVal[1] ctype, ok := c.db.columnType(stmt.table, column) if !ok { stmt.Close() return nil, errf("INSERT table %q references non-existent column %q", stmt.table, column) } stmt.colName = append(stmt.colName, column) if !strings.HasPrefix(value, "?") { var subsetVal any // Convert to driver subset type switch ctype { case "string":
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 01 12:38:07 UTC 2024 - 30.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
TF_Status* status); // Information about the shape of a Tensor and its type. struct TF_ShapeAndType { // Number of dimensions. -1 indicates unknown rank. int num_dims; // Array of dimensions. -1 indicates unknown dim. int64_t* dims; // The data type. May be 0 to denote unknown type. TF_DataType dtype; }; typedef struct TF_ShapeAndType TF_ShapeAndType;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/tf_xla_mlir_translate.cc
<< compilation_result.xla_output_shape.ToString() << '\n'; for (const auto& xla_output_description : compilation_result.outputs) { output << "// XlaOutputDescription type=" << DataTypeString(xla_output_description.type) << " shape=(" << absl::StrJoin(xla_output_description.shape.dim_sizes(), ", ") << ')'; if (xla_output_description.input_index >= 0)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 18.8K bytes - Viewed (0)