more dummy implemtention

README.md

@@ -76,6 +76,13 @@ install-cmake:
   make install
 ```
 
+Use following commands to start build and test
+
+```sh
+make distclean source-all example-tensorflow TYPE=D USE_LIBTENSORFLOW_CC=0
+gdb --tui -q --args ./build/sample/sample --name whole_flow -- ./sample/saved_model/
+```
+
 ## 🛡 License
 
 [![License](https://img.shields.io/github/license/chaoqing/PyCXpress)](https://github.com/chaoqing/PyCXpress/blob/master/LICENSE)

src/TensorflowCpy/include/tensorflow_cpy/tensorflow/core/framework/tensor.h

@@ -271,56 +271,13 @@ class Tensor {
     return true;
   }
 
-  /// \brief Slice this tensor along the 1st dimension.
-
-  /// I.e., the returned tensor satisfies
-  ///     returned[i, ...] == this[dim0_start + i, ...].
-  /// The returned tensor shares the underlying tensor buffer with this
-  /// tensor.
-  ///
-  /// NOTE: The returned tensor may not satisfy the same alignment
-  /// requirement as this tensor depending on the shape. The caller
-  /// must check the returned tensor's alignment before calling certain
-  /// methods that have alignment requirement (e.g., `flat()`, `tensor()`).
-  ///
-  /// NOTE: When fed with an N-dimensional tensor, this method returns a tensor
-  /// also with N dimensions. If you want to select a sub tensor, see SubSlice.
-  ///
-  /// REQUIRES: `dims()` >= 1
-  /// REQUIRES: `0 <= dim0_start <= dim0_limit <= dim_size(0)`
-  Tensor Slice(int64_t dim0_start, int64_t dim0_limit) const;
-
-  /// \brief Select a subslice from this tensor along the 1st dimension.
-  ///
-  /// When fed with an N-dimensional tensor, this method returns a tensor with
-  /// N-1 dimensions, where the returned tensor is a subslice of the input
-  /// tensor along the first dimension. The N-1 dimensions of the returned
-  /// tensor are the last N-1 dimensions of the input tensor.
-  ///
-  /// NOTE: The returned tensor may not satisfy the same alignment
-  /// requirement as this tensor depending on the shape. The caller
-  /// must check the returned tensor's alignment before calling certain
-  /// methods that have alignment requirement (e.g., `flat()`, `tensor()`).
-  ///
-  /// REQUIRES: `dims()` >= 1
-  /// REQUIRES: `0 <= index < dim_size(0)`
-  Tensor SubSlice(int64_t index) const;
-
-  /// Render the first `max_entries` values in `*this` into a string.
-  std::string SummarizeValue(int64_t max_entries, bool print_v2 = false) const;
-
   /// A human-readable summary of the tensor suitable for debugging.
   // `num_values` is the number of actual data values in the tensor
   // included in the message. If the tensor might be resident in
   // GPU/TPU memory use DeviceSafeDebugString instead.
   std::string DebugString(int num_values) const;
   std::string DebugString() const { return DebugString(3); }
 
-  // Variant of DebugString() that should be used for possibly non-CPU tensors.
-  // If the tensor is not resident on CPU, we can't read its values as
-  // DebugString() does.
-  std::string DeviceSafeDebugString() const;
-
   /// \brief Returns a `StringPiece` mapping the current tensor's buffer.
   ///
   /// The returned `StringPiece` may point to memory location on devices

src/TensorflowCpy/include/tensorflow_cpy/tensorflow/core/platform/status.h

@@ -17,13 +17,32 @@ namespace errors {
 typedef ::tensorflow::error::Code Code;
 
 }  // namespace errors
+
+struct SourceLocation {
+  uint32_t line;
+  const char* file_name;
+
+  static SourceLocation current(uint32_t line = 0,
+                                const char* file_name = nullptr) {
+    SourceLocation loc;
+    loc.line = line;
+    loc.file_name = file_name;
+    return loc;
+  }
+};
+
 /// @ingroup core
 /// Denotes success or failure of a call in Tensorflow.
 class Status {
  public:
   /// Create a success status.
   Status() {}
 
+  /// \brief Create a status with the specified error code and msg as a
+  /// human-readable string containing more detailed information.
+  Status(error::Code code, std::string_view msg,
+         SourceLocation loc = SourceLocation::current());
+
   /// Copy the specified status.
   Status(const Status& s);
   Status& operator=(const Status& s);
@@ -54,6 +73,9 @@ class Status {
   void IgnoreError() const;
 
  private:
+  error::Code m_code = error::Code::OK;
+  //std::string_view _msg;
+  //SourceLocation _loc;
 };
 
 // OkStatus()

src/TensorflowCpy/include/tensorflow_cpy/tensorflow/core/public/session.h

@@ -9,9 +9,9 @@
 #include <string>
 #include <vector>
 
+#include "../../core/common_runtime/device_mgr.h"
 #include "../../core/framework/tensor.h"
 #include "../../core/platform/status.h"
-#include "../../core/common_runtime/device_mgr.h"
 #include "../../core/public/session_options.h"
 
 // clang-format off