Add fix summary and remove temporary test file

Author: CodersAcademy006

FIX_SUMMARY.md

@@ -0,0 +1,98 @@
+# Fix Summary: Issue #105367 - Segmentation Fault with Complex Variable Operations
+
+## Issue Description
+A segmentation fault occurred when performing complex number operations involving:
+- Complex64/complex128 variables
+- `tf.raw_ops.Conj` operation
+- `Variable.assign_add()` method
+
+## Reproduction Code
+```python
+import tensorflow as tf
+input_data = tf.constant([1 + 2j, 3 + 4j], dtype=tf.complex64)
+var = tf.Variable(input_data, dtype=tf.complex64)
+conj_result = tf.raw_ops.Conj(input=input_data)
+assign_add_op = var.assign_add(conj_result)
+# Segmentation fault (core dumped)
+```
+
+## Root Cause Analysis
+
+The segmentation fault was caused by **missing complex type support** in two critical locations:
+
+1. **GPU DenseUpdate Functor Instantiations** (`dense_update_functor_gpu.cu.cc`)
+   - The template instantiations for `DenseUpdate<GPUDevice, T, ADD>` and `DenseUpdate<GPUDevice, T, SUB>` only included `TF_CALL_GPU_NUMBER_TYPES` and `TF_CALL_INTEGRAL_TYPES`
+   - `TF_CALL_GPU_NUMBER_TYPES` = {half, bfloat16, float, double} - **does NOT include complex types**
+   - `TF_CALL_COMPLEX_TYPES` = {complex64, complex128} - **was missing**
+
+2. **GPU Kernel Registrations** (`resource_variable_ops.cc`)
+   - The GPU kernel registrations for `AssignAddVariableOp` and `AssignSubVariableOp` similarly only included `TF_CALL_GPU_NUMBER_TYPES` and `TF_CALL_INTEGRAL_TYPES_NO_INT32`
+   - Complex types were not registered for GPU execution
+
+When users attempted to use `assign_add` on complex variables (especially after operations like `tf.raw_ops.Conj`), the kernel was not properly instantiated for complex types on GPU, leading to undefined behavior and segmentation faults.
+
+## Solution
+
+### Files Modified
+
+1. **tensorflow/core/kernels/dense_update_functor_gpu.cu.cc**
+   ```cpp
+   // Added complex type support
+   #define DEFINE_GPU_KERNELS(T)                              \
+     template struct functor::DenseUpdate<GPUDevice, T, ADD>; \
+     template struct functor::DenseUpdate<GPUDevice, T, SUB>;
+   TF_CALL_GPU_NUMBER_TYPES(DEFINE_GPU_KERNELS);
+   TF_CALL_INTEGRAL_TYPES(DEFINE_GPU_KERNELS);
+   TF_CALL_COMPLEX_TYPES(DEFINE_GPU_KERNELS);  // <-- ADDED
+   TF_CALL_float8_e5m2(DEFINE_GPU_KERNELS);
+   TF_CALL_float8_e4m3fn(DEFINE_GPU_KERNELS);
+   ```
+
+2. **tensorflow/core/kernels/resource_variable_ops.cc**
+   ```cpp
+   // Added complex type support to GPU kernel registrations
+   TF_CALL_GPU_NUMBER_TYPES(REGISTER_GPU_KERNELS);
+   TF_CALL_INTEGRAL_TYPES_NO_INT32(REGISTER_GPU_KERNELS);
+   TF_CALL_COMPLEX_TYPES(REGISTER_GPU_KERNELS);  // <-- ADDED
+   ```
+
+3. **tensorflow/python/kernel_tests/variables/resource_variable_ops_test.py**
+   - Added `testComplexVariableAssignAddWithConj()` - Tests GPU execution with Conj operation
+   - Added `testComplexVariableAssignAddCPU()` - Tests CPU execution with complex types
+   - Both tests cover complex64 and complex128 data types
+
+## Testing
+
+The fix has been validated with:
+- ✅ The original reproduction case from issue #105367
+- ✅ New unit tests covering both complex64 and complex128 types
+- ✅ Tests for both CPU and GPU execution paths
+- ✅ Tests with `tf.raw_ops.Conj` operation combined with `assign_add`
+
+## Impact
+
+This fix enables:
+- Proper support for complex number arithmetic in resource variables on GPU
+- Safe usage of `assign_add` and `assign_sub` with complex variables
+- Compatibility with operations that produce complex results (like `Conj`, `FFT`, etc.)
+
+## Pull Request
+
+- **Branch**: `fix-complex-variable-conj-segfault`
+- **PR URL**: https://github.com/CodersAcademy006/tensorflow/pull/9
+- **Fixes**: #105367
+
+## Technical Details
+
+### Type Macro Definitions
+- `TF_CALL_GPU_NUMBER_TYPES`: half, bfloat16, float, double
+- `TF_CALL_COMPLEX_TYPES`: complex64, complex128
+- `TF_CALL_NUMBER_TYPES`: TF_CALL_REAL_NUMBER_TYPES + TF_CALL_COMPLEX_TYPES
+
+### Why This Worked on CPU but Failed on GPU
+- CPU implementations use generic templates defined in header files
+- GPU implementations require explicit template instantiations in `.cu.cc` files
+- CPU kernel registrations already included `TF_CALL_NUMBER_TYPES` (which includes complex types)
+- GPU kernel registrations only included `TF_CALL_GPU_NUMBER_TYPES` (which excludes complex types)
+
+This asymmetry caused the issue to only manifest on GPU execution paths.