- Sort Score
- Result 10 results
- Languages All
Results 71 - 80 of 166 for Ntype (0.07 sec)
-
tensorflow/compiler/mlir/tensorflow/tests/legalize_tfg.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/odml_converter/folders.cc
return success(); } static LogicalResult FoldDivOp(stablehlo::DivOp op, PatternRewriter& rewriter) { auto etype = op.getType().getElementType(); if (etype.isa<FloatType>()) { return FoldDivOpInternal<APFloat>(op, rewriter); } if (etype.isa<IntegerType>()) { return FoldDivOpInternal<APInt>(op, rewriter); } return failure(); } } // namespace
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 06:11:55 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_type_test.cc
bool unknown_rank, DataType dtype) { TensorShapeProto shape; shape.set_unknown_rank(unknown_rank); for (int64_t dim : dims) { shape.add_dim()->set_size(dim); } mlir::MLIRContext context; mlir::Builder b(&context); auto status_or = ConvertToMlirTensorType(shape, dtype, &b); std::string buf; llvm::raw_string_ostream os(buf); status_or.value().print(os);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.cc
#include "llvm/Support/Debug.h" #include "llvm/Support/raw_ostream.h" #include "tensorflow/core/framework/types.pb.h" // Returns whether the given dtype is a quantization type in TensorFlow. static bool IsQuantizationType(tensorflow::DataType dtype) { switch (dtype) { case tensorflow::DT_QINT8: case tensorflow::DT_QUINT8: case tensorflow::DT_QINT16: case tensorflow::DT_QUINT16: case tensorflow::DT_QINT32:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/utils/test_metadata_config.cc
xla_shape.dimensions(), &tensor_shape)); arg_shapes.emplace_back(tensor_shape); DataType dtype; TF_RETURN_IF_ERROR(ConvertToDataType(input_type, &dtype)); auto metadata_arg = metadata_proto.add_args(); metadata_arg->set_kind(tpu::TPUCompileMetadataProto::Arg::PARAMETER); metadata_arg->set_dtype(dtype); } return absl::OkStatus(); } absl::Status SetupReturnValues(mlir::ModuleOp module,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/cc/experimental/libtf/impl/iostream_test.cc
} TEST(OStreamTest, TestTensorSpec) { std::stringstream stream; TensorSpec tensor_spec; tensor_spec.shape = tensorflow::PartialTensorShape({2}); tensor_spec.dtype = tensorflow::DT_FLOAT; stream << tensor_spec; ASSERT_EQ(stream.str(), "TensorSpec(shape = [2], dtype = 1)"); } } // namespace impl } // namespace libtf
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 09:47:46 UTC 2024 - 2K bytes - Viewed (0) -
src/internal/types/testdata/check/importC.go
const _ C.int = 0xff // no error due to invalid constant type type T struct { Name string Ordinal int } func _(args []T) { var s string for i, v := range args { cname := C.CString(v.Name) args[i].Ordinal = int(C.sqlite3_bind_parameter_index(s, cname)) // no error due to i not being "used" C.free(unsafe.Pointer(cname)) } } type CType C.Type const _ CType = C.X // no error due to invalid constant type
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jan 17 19:54:27 UTC 2023 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tfrt_fallback/async_op_thread.mlir
func.func @test_async_op_kernel_thread() -> !tfrt.chain { %ch0 = tfrt.new.chain %ch1 = tfrt_fallback_async.createop(%ch0) key(0) device("/CPU:0") "tf.Const"() { dtype = i32, value = dense<[2]> : tensor<1xi32> } num_args(0) %ch2 = tfrt_fallback_async.createop(%ch1) key(1) device("/CPU:0") "tf.TestAsyncTfrtAsyncThread"() {T = i32} num_args(1)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jul 18 22:58:56 UTC 2023 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/saved_model/saved_model.cc
absl::StatusOr<std::pair<tensorflow::DataType, tensorflow::PartialTensorShape>> ProcessTensorSpec(mlir::TensorType type) { tensorflow::DataType dtype; TF_RETURN_IF_ERROR( ConvertScalarTypeToDataType(type.getElementType(), &dtype)); if (!type.hasRank()) return std::make_pair(dtype, tensorflow::PartialTensorShape()); auto shape = type.getShape(); llvm::SmallVector<int64_t, 4> dims; dims.assign(shape.begin(), shape.end());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/jit/device_compilation_cluster_signature.cc
// Functor that compares the arg values of two different signatures. Returns // true when the args are not equal. struct SignatureNotEqual { bool operator()(const Tensor& arg, const Tensor& other) { return arg.dtype() != other.dtype() || arg.shape() != other.shape() || arg.tensor_data() != other.tensor_data(); } bool operator()(const TensorTypeAndShape& arg, const TensorTypeAndShape& other) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 06:59:07 UTC 2024 - 4.7K bytes - Viewed (0)