Cleanup

examples/split-test/CMakeLists.txt

@@ -1,5 +0,0 @@
-set(TARGET split-test)
-add_executable(${TARGET} split-test.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_11)

examples/split-test/split-test.cpp

@@ -1,40 +0,0 @@
-#include <iostream>
-#include "ggml.h"
-
-int main() {
-    printf("split_test\n");
-    // Initialization
-    struct ggml_init_params params = ggml_init_params{1024};  // Assuming this initializes memory
-    ggml_context *ctx = ggml_init(params);
-
-    // Tensor Creation (Analogous to the PyTorch code)
-    int64_t size = 18 * 7 * 64;
-    int64_t dims[4] = {1, 18, 7, 64};
-    ggml_tensor *tensor = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, dims);
-
-    // Initialize tensor data (Note: Simplified for this example)
-    float* tensor_data = (float*) tensor->data;
-    for (int i = 0; i < size; i++) {
-        tensor_data[i] = (float) i;
-        printf("%f", tensor_data[i]);
-    }
-    printf("\n");
-
-    // Reshaping and Transpose
-    // ... (You'll need ggml equivalents of reshape and transpose)
-
-    // Splitting (We'll focus on this part)
-    int64_t num_q_heads = 12;
-    int64_t num_k_heads = 3;
-    int64_t num_v_heads = 3;
-
-    ggml_tensor *a = ggml_view_3d(ctx, tensor, /*ne0*/1, /*ne1*/2, /*ne2*/3, /*nb1*/4, /*nb2*/5, /*offset*/6);
-    ggml_tensor *b = ggml_view_3d(ctx, tensor, /*ne0*/1, /*ne1*/2, /*ne2*/3, /*nb1*/4, /*nb2*/5, /*offset*/6);
-    ggml_tensor *c = ggml_view_3d(ctx, tensor, /*ne0*/1, /*ne1*/2, /*ne2*/3, /*nb1*/4, /*nb2*/5, /*offset*/6);
-
-    // Accessing elements (assuming ggml provides similar access)
-    float *a_data = (float*) a->data;
-    std::cout << a_data[0] << std::endl;
-
-    return 0;
-}