Modifications to Debugging Functionality Tests
**Report on Modifications to Debugging Functionality Tests**

*Objective:*
The aim of the modifications is to extend the existing debugging functionality tests to cover a variety of variable types, specifically tensors with different shapes and dtypes. This ensures that the debugging infrastructure works consistently across diverse data types.

*Modifications:*

1. **Variable and Tensor Declarations:**
   - Added new variables and tensors to represent different variable types.
   - Introduced variables with different dtypes, including float32, int32, float64, and int64.
   - Created tensors with varying shapes, such as scalar, 3x3, and 2x4.

```python
# Variable with float32 dtype
self.v_float32 = variables.Variable(10.0, dtype=dtypes.float32, name="v_float32")

# Variable with int32 dtype
self.v_int32 = variables.Variable(5, dtype=dtypes.int32, name="v_int32")

# Tensor with float64 dtype and shape (3, 3)
self.tensor_float64 = constant_op.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]],
                                           dtype=dtypes.float64, name="tensor_float64")

# Tensor with int64 dtype and shape (2, 4)
self.tensor_int64 = constant_op.constant([[1, 2, 3, 4], [5, 6, 7, 8]], dtype=dtypes.int64, name="tensor_int64")
```

2. **Session Initialization:**
   - Extended the session initialization to include the new variables and tensors.
   - Initialized variables and tensors before running test operations.

```python
self.sess.run([self.v_float32.initializer, self.v_int32.initializer])
```

3. **Test Methods:**
   - Modified the existing test methods (`testWrapperSessionVariableTypes` and `testHookVariableTypes`) to include operations for the new variables and tensors.
   - Ensured that each variable type is tested with the debugging wrappers and hooks.

```python
def testWrapperSessionVariableTypes(self):
    # ... existing code ...

    # Test with a float32 variable
    sess.run(self.inc_v_float32)

    # Test with an int32 variable
    sess.run(self.inc_v_int32)

    # Test with a float64 tensor
    sess.run(tf.reduce_sum(self.tensor_float64))

    # Test with an int64 tensor
    sess.run(tf.reduce_sum(self.tensor_int64))

def testHookVariableTypes(self):
    # ... existing code ...

    # Test with a float32 variable
    mon_sess.run(self.inc_v_float32)

    # Test with an int32 variable
    mon_sess.run(self.inc_v_int32)

    # Test with a float64 tensor
    mon_sess.run(tf.reduce_sum(self.tensor_float64))

    # Test with an int64 tensor
    mon_sess.run(tf.reduce_sum(self.tensor_int64))
```

*Conclusion:*
The modifications successfully extended the existing debugging functionality tests to cover a variety of variable types. The inclusion of tensors with different shapes and dtypes ensures a more comprehensive evaluation of the debugging infrastructure's consistency and effectiveness across diverse data scenarios. The modified tests contribute to a more robust and reliable debugging solution, providing confidence in its applicability to various use cases.