!5266 Revert "Avoid copy when create Tensor from numpy array"

Merge pull request !5266 from hewei/r0.7_revert_no_copy_tensor

mindspore/ccsrc/pybind_api/ir/tensor_py.cc

@@ -117,75 +117,6 @@ static bool IsCContiguous(const py::array &input) {
   return (flags & pybind11::detail::npy_api::NPY_ARRAY_C_CONTIGUOUS_) != 0;
 }
 
-// TensorDataNumpy implements TensorData using numpy array.
-class TensorDataNumpy : public TensorData {
- public:
-  explicit TensorDataNumpy(const py::array &input) : data_(input) {}
-
-  /// Total number of elements.
-  ssize_t size() const override { return data_.size(); }
-
-  /// Byte size of a single element.
-  ssize_t itemsize() const override { return data_.itemsize(); }
-
-  /// Total number of bytes.
-  ssize_t nbytes() const override { return data_.nbytes(); }
-
-  /// Number of dimensions.
-  ssize_t ndim() const override { return data_.ndim(); }
-
-  /// Data pointer.
-  void *data() override {
-    EnsureDataContiguous();
-    return data_.request(true).ptr;
-  }
-
-  const void *const_data() const override {
-    EnsureDataContiguous();
-    return data_.request(false).ptr;
-  }
-
-  /// Is data equals.
-  bool equals(const TensorData &other) const override {
-    auto ptr = dynamic_cast<const TensorDataNumpy *>(&other);
-    if (ptr == nullptr) {
-      // Not same type, compare data byte by byte.
-      return TensorData::equals(other);
-    }
-    return NumpyEquals(*ptr);
-  }
-
-  bool NumpyEquals(const TensorDataNumpy &other) const {
-    auto all_data_equal = [&other, this]() -> bool {
-      auto np = py::module::import("numpy");
-      auto equal = np.attr("equal")(data_, other.data_);
-      auto all_equal = np.attr("all")(equal);
-      return all_equal.cast<bool>();
-    };
-    return this == &other || data_.is(other.data_) || all_data_equal();
-  }
-
-  /// To string.
-  std::string ToString(const TypeId type, const std::vector<int> &shape) const override {
-    return std::string(py::str(data_));
-  }
-
-  /// Data.
-  py::array data() const { return data_; }
-
- private:
-  void EnsureDataContiguous() const {
-    if (!IsCContiguous(data_)) {
-      // Call numpy.ascontiguousarray() to convert data to C contiguous if it is not.
-      auto np = py::module::import("numpy");
-      auto convert = np.attr("ascontiguousarray");
-      data_ = convert(data_);
-    }
-  }
-
-  mutable py::array data_;
-};
-
 TensorPtr TensorPy::MakeTensor(const py::array &input, const TypePtr &type_ptr) {
   // Get input buffer info.
   py::buffer_info buf = input.request();
@@ -199,13 +130,6 @@ TensorPtr TensorPy::MakeTensor(const py::array &input, const TypePtr &type_ptr)
   if (data_type == TypeId::kTypeUnknown) {
     data_type = buf_type;
   }
-  // Get tensor shape.
-  std::vector<int> shape(buf.shape.begin(), buf.shape.end());
-  if (data_type == buf_type) {
-    // Make a tensor with shared data with numpy if no type convertion needed.
-    auto tensor_data = std::make_shared<TensorDataNumpy>(input);
-    return std::make_shared<Tensor>(data_type, shape, tensor_data);
-  }
   // Convert input array to C contiguous if need.
   std::unique_ptr<char[]> tmp_buf;
   if (!IsCContiguous(input)) {
@@ -220,6 +144,8 @@ TensorPtr TensorPy::MakeTensor(const py::array &input, const TypePtr &type_ptr)
     PyBuffer_Release(&pybuf);
     buf.ptr = tmp_buf.get();
   }
+  // Get tensor shape.
+  std::vector<int> shape(buf.shape.begin(), buf.shape.end());
   if (data_type == buf_type) {
     // Use memory copy if input data type is the same as the required type.
     return std::make_shared<Tensor>(data_type, shape, buf.ptr, buf.size * buf.itemsize);
@@ -260,16 +186,12 @@ py::tuple TensorPy::GetPyTupleShape(const Tensor &tensor) {
 
 py::array TensorPy::SyncAsNumpy(const Tensor &tensor) {
   tensor.data_sync();
-  return AsNumpy(tensor);
+  auto info = GetPyBufferInfo(tensor);
+  py::object self = py::cast(&tensor);
+  return py::array(py::dtype(info), info.shape, info.strides, info.ptr, self);
 }
 
 py::array TensorPy::AsNumpy(const Tensor &tensor) {
-  auto data_numpy = dynamic_cast<const TensorDataNumpy *>(&tensor.data());
-  if (data_numpy) {
-    // Return internal numpy array if tensor data is implemented base on it.
-    return data_numpy->data();
-  }
-  // Otherwise, create numpy array by buffer protocol.
   auto info = GetPyBufferInfo(tensor);
   py::object self = py::cast(&tensor);
   return py::array(py::dtype(info), info.shape, info.strides, info.ptr, self);

mindspore/common/parameter.py

@@ -145,7 +145,7 @@ class Parameter(MetaTensor):
             data = data.to_tensor()
         if isinstance(data, Tensor):
             # make a copy of Tensor to init the parameter
-            return (Tensor, data.asnumpy().copy(),)
+            return (Tensor, data.asnumpy(),)
         if isinstance(data, int):
             return (Tensor, data, mstype.int32)
         if isinstance(data, float):

mindspore/core/ir/tensor.cc

@@ -198,16 +198,10 @@ class TensorDataImpl : public TensorData {
     return data_.get();
   }
 
-  const void *const_data() const override {
-    // May return nullptr if data not initialized.
-    return data_.get();
-  }
-
   bool equals(const TensorData &other) const override {
     auto ptr = dynamic_cast<const TensorDataImpl<T> *>(&other);
     if (ptr == nullptr) {
-      // Not same type, compare data byte by byte.
-      return TensorData::equals(other);
+      return false;
     }
     if (ptr == this) {
       return true;

mindspore/core/ir/tensor.h

@@ -49,23 +49,8 @@ class TensorData {
   virtual ssize_t ndim() const = 0;
   /// Data pointer.
   virtual void *data() = 0;
-  /// Const Data pointer.
-  virtual const void *const_data() const = 0;
   /// Is data equals.
-  virtual bool equals(const TensorData &other) const {
-    if (this == &other) {
-      return true;
-    }
-    // By default, compare data byte by byte.
-    auto this_data = static_cast<const uint8_t *>(const_data());
-    auto other_data = static_cast<const uint8_t *>(other.const_data());
-    if (this_data == nullptr || other_data == nullptr) {
-      // null means data not initialized, compare uninitialized data always return false.
-      return false;
-    }
-    return (this_data == other_data) || (ndim() == other.ndim() && nbytes() == other.nbytes() &&
-                                         std::equal(this_data, this_data + nbytes(), other_data));
-  }
+  virtual bool equals(const TensorData &other) const = 0;
   /// To string.
   virtual std::string ToString(const TypeId type, const std::vector<int> &shape) const = 0;
 };