Add a debug string to AbstractTensorHandle

There's enough information to make it useful, and it's good to have a standard method. Before this TFRT TensorHandles and custom device handles didn't have debug strings. Both may want to override the method eventually.

PiperOrigin-RevId: 346876438
Change-Id: I1e679ec891446ad0cb60c03c254fe16d3f3d49ef
This commit is contained in:
Allen Lavoie 2020-12-10 15:19:23 -08:00 committed by TensorFlower Gardener
parent 0796a95989
commit e5ffdb506b
4 changed files with 39 additions and 0 deletions

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@ -507,6 +507,7 @@ tf_cuda_cc_test(
cc_library(
name = "abstract_tensor_handle",
srcs = ["abstract_tensor_handle.cc"],
hdrs = ["abstract_tensor_handle.h"],
visibility = [
"//tensorflow:internal",

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@ -0,0 +1,33 @@
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/c/eager/abstract_tensor_handle.h"
namespace tensorflow {
std::string AbstractTensorHandle::DebugString() const {
PartialTensorShape shape;
Status s = Shape(&shape);
std::string shape_string;
if (!s.ok()) {
shape_string = "<error computing shape>";
} else {
shape_string = shape.DebugString();
}
return absl::StrCat("TensorHandle(shape=", shape_string,
", dtype=", DataType_Name(DataType()), ")");
}
} // namespace tensorflow

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@ -38,6 +38,10 @@ class AbstractTensorHandle : public core::RefCounted {
virtual tensorflow::Status Shape(
tensorflow::PartialTensorShape* shape) const = 0;
// The default debug string includes a shape and dtype. Implementations are
// free to override it with something more informative.
virtual std::string DebugString() const;
AbstractTensorHandleKind getKind() const { return kind_; }
private:

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@ -93,6 +93,7 @@ TEST(CustomDevice, TestTensorHandle) {
s = tensor->NumElements(&num_elements);
ASSERT_TRUE(s.ok()) << s.error_message();
EXPECT_EQ(3, num_elements);
EXPECT_EQ("TensorHandle(shape=[3], dtype=DT_FLOAT)", tensor->DebugString());
}
} // namespace