TFE_TensorHandleCopyToDevice(hcpu, ctx, name.c_str(), status.get());
    if (TF_GetCode(status.get()) != TF_OK) {
      ADD_FAILURE() << tag << " -- " << TF_Message(status.get());
      continue;
    }
    // Copy from device to the same device.
    TFE_TensorHandle* hdevice2 =
        TFE_TensorHandleCopyToDevice(hdevice, ctx, name.c_str(), status.get());
    if (TF_GetCode(status.get()) != TF_OK) {

      type = type.replace(0, 5, "");
      type = type.replace(type.size() - 1, 1, "");
    }
    op_name += type;
    return TF_NewOperation(
        graph_, op_name.c_str(),
        ::tensorflow::strings::StrCat("name", counter_++).c_str());
  }

  TF_Status* s_;

 private:
  TF_Graph* graph_;
  int counter_;
};

// Helper macros for the TF_OperationGetAttr* tests.

                 << status;
  EXPECT_EQ(region->length(), test_data.size());
  EXPECT_STREQ(reinterpret_cast<const char*>(region->data()),
               test_data.c_str());
}

TEST_P(ModularFileSystemTest, TestCreateMemoryRegionFromFilePathIsInvalid) {
  const std::string filepath = GetURIForPath("a_file");
  std::unique_ptr<WritableFile> file;

    const char** ptr = nullptr;
    if (!strs.empty()) {
      ptr = new const char*[strs.size()];
      for (size_t i = 0; i < strs.size(); ++i) {
        ptr[i] = strs[i].c_str();
      }
    }
    return ptr;
  }

  // An explicit `num_opers` is needed so that we can distinguish between the
  // case of no operations specified (-1) and the case of an empty set of

		if !ok {
			return
		}

		for _, c := range f.Calls {
			if !c.Done && c.Call.Lparen == call.Lparen {
				cstr, nu := p.rewriteCall(f, c)
				if cstr != "" {
					// Smuggle the rewritten call through an ident.
					*px = ast.NewIdent(cstr)
					if nu {
						needsUnsafe = true
					}
					c.Done = true
				}
			}
		}
	})
	return *arg, needsUnsafe
}