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tensorflow/c/tf_tensor.cc
return CreateTensor(buf, dtype, dims, num_dims, len); } TF_Tensor* TF_NewTensor(TF_DataType dtype, const int64_t* dims, int num_dims, void* data, size_t len, void (*deallocator)(void* data, size_t len, void* arg), void* deallocator_arg) { TF_ManagedBuffer* buf = nullptr; if (dtype != TF_STRING && dtype != TF_RESOURCE &&
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 21:57:32 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/jit/shape_inference.cc
DataType dtype = n->output_type(0); AddNodeAttr("dtype", dtype, &const_def); TensorProto value; value.set_dtype(dtype); value.mutable_tensor_shape()->add_dim()->set_size( shape_proto.dim_size()); for (const auto& dim : shape_proto.dim()) { if (dtype == DT_INT32) { value.add_int_val(dim.size());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 00:41:19 UTC 2024 - 13K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util.cc
// Copy XLA results to the OpOutputList. int output_num = 0; for (int i = 0, end = ctx->num_outputs(); i < end; ++i) { const DataType& type = compilation_result.outputs[i].type; VLOG(2) << "Populating output for retval " << i << " type " << DataTypeString(type); if (type == DT_VARIANT) { return absl::UnimplementedError( "Support for TensorList crossing the XLA/TF boundary "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 00:36:08 UTC 2024 - 40.4K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_device_context.cc
shape_determination_fns.layout_preference_fn( cpu_tensor->shape(), cpu_tensor->dtype(), std::nullopt); TF_ASSIGN_OR_RETURN(xla::Shape shape, shape_determination_fns.shape_representation_fn( cpu_tensor->shape(), cpu_tensor->dtype(), /*fast_mem=*/false, layout_preference)); const xla::Layout* device_layout = &(shape.layout());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 08:49:31 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_metadata_utils.cc
for (auto operand_type_and_idx : llvm::enumerate(op.getOperandTypes())) { Type operand_type = operand_type_and_idx.value(); int index = operand_type_and_idx.index(); tensorflow::tpu::TPUCompileMetadataProto::Arg* arg = metadata->add_args(); tensorflow::DataType dtype; tensorflow::Status status = tensorflow::ConvertToDataType(operand_type, &dtype); if (!status.ok()) return op.emitOpError(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/mlir_roundtrip_flags.cc
absl::StrSplit(type, absl::ByAnyChar("()")); // If type has subtypes then parts[0] = type, parts[1] = subtypes, // parts[2] = "" if (parts.size() != 3 && parts.size() != 1) { return errors::InvalidArgument("Invalid type '", type, "'"); } else if (parts.size() == 3) { // First part is the type, second is the subtype ArrayInfo::SubTypeInfo subtype;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 10.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.cc
return mlir::TF::ShapeAttr::get(type.getContext(), tensor_type.getShape()); } // If type is not a RankedTensor or UnrankedTensor, it must be a scalar. // Empty TensorShape indicates a scalar. return mlir::TF::ShapeAttr::get(type.getContext(), ArrayRef<int64_t>()); } absl::StatusOr<TensorSpecProto> ConvertTypeToTensorSpecProto( const mlir::Type& type) { DataType dtype;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 20.5K bytes - Viewed (0) -
tensorflow/c/kernels.cc
const char* attr_name, const TF_DataType type, TF_Status* status) { tensorflow::DataType dtype = static_cast<tensorflow::DataType>(type); tensorflow::AddTypeConstraint(kernel_builder, attr_name, dtype, status); } void TF_KernelBuilder_HostMemory(TF_KernelBuilder* kernel_builder,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 22:53:47 UTC 2024 - 36K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/internal/saved_model_api_test.cc
// inputs: { // key : "a" // value: { // name : "serving_default_a:0" // dtype: DT_FLOAT // tensor_shape: { // } // } // } // inputs: { // key : "b" // value: { // name : "serving_default_b:0" // dtype: DT_FLOAT // tensor_shape: { // } // } // } // outputs: {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 08:08:45 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/tf2xla_rewriter.cc
} tensorflow::DataType dtype; auto status = tensorflow::ConvertToDataType(operand.getType(), &dtype); if (!status.ok()) { op->emitRemark() << "skipping legalization due to " << status.ToString(); return tensorflow::XlaExpression::Invalid(); } return tensorflow::XlaExpression::XlaOp(xla_op, dtype); } } // namespace mhlo
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:16:07 UTC 2024 - 18.9K bytes - Viewed (0)