Fix shape in outer (#17492)

### Ticket
Link to Github Issue
#16882

### Problem description
 ttnn::outer fails after tilizing the inputs

### What's changed
outer op is checking the padded size of the inputs which is causing the
error. This PR changes the shape used in outer

### Checklist
- [x] Post commit CI passes
https://github.com/tenstorrent/tt-metal/actions/runs/13167635235
- [ ] Blackhole Post commit (if applicable)
- [ ] Model regression CI testing passes (if applicable)
- [ ] Device performance regression CI testing passes (if applicable)
- [ ] **(For models and ops writers)** Full [new
models](https://github.com/tenstorrent/tt-metal/actions/workflows/full-new-models-suite.yaml)
tests passes
- [ ] New/Existing tests provide coverage for changes

ttnn/cpp/ttnn/operations/eltwise/binary/device/binary_composite_op.cpp

@@ -476,8 +476,8 @@ Tensor _scatter(const Tensor& input_a, const Tensor& input_b, const std::optiona
  *   by running reshape.
  */
 Tensor _outer(const Tensor& input_a, const Tensor& input_b, const std::optional<MemoryConfig>& output_mem_config) {
-    const ttnn::Shape s_a = input_a.padded_shape();
-    const ttnn::Shape s_b = input_b.padded_shape();
+    const ttnn::Shape s_a = input_a.get_logical_shape();
+    const ttnn::Shape s_b = input_b.get_logical_shape();
     auto num_ones = [](const ttnn::Shape& s) -> uint32_t {
         uint32_t num1s = 0;
         for (uint32_t idx = 0; idx < 4; idx++) {
@@ -497,10 +497,12 @@ Tensor _outer(const Tensor& input_a, const Tensor& input_b, const std::optional<
     Tensor b_slim = input_b;
 
     if (!skip_reshape_a) {
-        a_slim = ttnn::reshape(input_a, ttnn::Shape{std::array<uint32_t, 4>{1, 1, input_a.volume(), 1}});
+        uint32_t a_volume = s_a[0] * s_a[1] * s_a[2] * s_a[3];
+        a_slim = ttnn::reshape(input_a, ttnn::Shape{std::array<uint32_t, 4>{1, 1, a_volume, 1}});
     }
     if (!skip_reshape_b) {
-        b_slim = ttnn::reshape(input_b, ttnn::Shape{std::array<uint32_t, 4>{1, 1, 1, input_b.volume()}});
+        uint32_t b_volume = s_b[0] * s_b[1] * s_b[2] * s_b[3];
+        b_slim = ttnn::reshape(input_b, ttnn::Shape{std::array<uint32_t, 4>{1, 1, 1, b_volume}});
     }
     a_slim = ttnn::to_layout(a_slim, ttnn::TILE_LAYOUT, std::nullopt, std::nullopt, (IDevice*)nullptr);
     b_slim = ttnn::to_layout(b_slim, ttnn::TILE_LAYOUT, std::nullopt, std::nullopt, (IDevice*)nullptr);