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tensorflow/cc/saved_model/testdata/half_plus_two_pbtxt/00000123/saved_model.pbtxt
name: "serialized" type: DT_STRING } input_arg { name: "names" type: DT_STRING } input_arg { name: "sparse_keys" type: DT_STRING number_attr: "Nsparse" } input_arg { name: "dense_keys" type: DT_STRING number_attr: "Ndense" }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 26 01:10:27 UTC 2017 - 46.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.cc
case DT_BFLOAT16: case DT_HALF: case DT_FLOAT8_E5M2: case DT_FLOAT8_E4M3FN: return ConvertTensorOfCustomFloatType(input_tensor, type); case DT_STRING: return ConvertStringTensor(input_tensor, type); default: // TODO(hinsu): Remove mangling now that there is a special attribute. return ElementsAttr(
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/cc/saved_model/loader.cc
TF_RETURN_IF_ERROR(ValidateFunctionNotRecursive(function)); } } return absl::OkStatus(); } Tensor CreateStringTensor(const string& value) { Tensor tensor(DT_STRING, TensorShape({})); tensor.scalar<tstring>()() = value; return tensor; } void AddAssetsTensorsToInputs(const StringPiece export_dir,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 02 04:36:00 UTC 2024 - 23K bytes - Viewed (0) -
tensorflow/c/tf_tensor.cc
tsl::Set_TF_Status_from_Status(status, cc_status); } #endif // LIBTPU_EXCLUDE_C_API_IMPL namespace tensorflow { void TensorInterface::Release() { if (Type() == DT_STRING && NumElements() > 0) { TF_TString* data = static_cast<TF_TString*>(Data()); if (CanMove() && data != nullptr) { for (int64_t i = 0; i < NumElements(); ++i) { TF_TString_Dealloc(&data[i]); }
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/mlir/tensorflow/utils/convert_tensor_test.cc
} TEST(ConvertTypeToTensorTypeTest, ConvertStringTensor) { mlir::MLIRContext context; RegisterDialects(context); mlir::Builder b(&context); // Create the sample tensor to convert. Tensor tensor(DT_STRING, TensorShape({1, 2, 2, 1})); EXPECT_EQ(4, tensor.NumElements()); auto Tt = tensor.flat<tstring>(); Tt.setValues({"one", "two", "three", "four"}); auto value_or_status = ConvertTensor(tensor, &b);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.4K bytes - Viewed (0) -
tensorflow/compiler/jit/compilability_check_util.cc
if (node.type_string() == "Const") { const AttrValue* attr = node.attrs().Find("dtype"); if (!op_filter_.allow_string_consts && attr != nullptr && attr->type() == DT_STRING) { *uncompilable_reason = "Const op with type DT_STRING is not supported by XLA."; return false; } } // XLA does not offer guaranteed aliasing between the input and output of the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 30.3K bytes - Viewed (0) -
tensorflow/compiler/jit/kernels/xla_ops.cc
// Async compilation returns nullptr executable without an error. if (!executable && !pjrt_executable) { DCHECK(!must_compile_); Tensor compilation_key(cpu_allocator, DT_STRING, TensorShape({})); Tensor compilation_successful(cpu_allocator, DT_BOOL, TensorShape({})); compilation_successful.scalar<bool>()() = false; ctx->set_output(0, compilation_key);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 22:46:36 UTC 2024 - 41.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc
return DT_INT64; case toco::IODataType::UINT8: return DT_UINT8; case toco::IODataType::UINT64: return DT_UINT64; case toco::IODataType::STRING: return DT_STRING; case toco::IODataType::BOOL: return DT_BOOL; case toco::IODataType::COMPLEX64: return DT_COMPLEX64; case toco::IODataType::COMPLEX128: return DT_COMPLEX128;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 17.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_variable_runtime_reformatting.cc
// Build a constant default key to specify that the unformatting should // transform the variables to the original format. builder.setInsertionPointAfter(while_op); tensorflow::Tensor default_key_tensor(tensorflow::DT_STRING, {3}); default_key_tensor.vec<tensorflow::tstring>()(0) = kDefaultShardingValue; default_key_tensor.vec<tensorflow::tstring>()(1) = kDefaultShardingValue;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 21.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/tf_xla_mlir_translate.cc
data_type.value()); const auto& resolved_dtype = data_types[data_type.index()]; if (resolved_dtype == DT_INVALID || resolved_dtype == DT_STRING || resolved_dtype == DT_RESOURCE || resolved_dtype == DT_VARIANT || IsRefType(resolved_dtype)) return errors::InvalidArgument("Unsupported dtype at index ",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 18.8K bytes - Viewed (0)