musa: fix build warnings

ggml/src/ggml-cuda/binbcast.cu

@@ -54,7 +54,7 @@ static __global__ void k_bin_bcast(const src0_t *         src0,
     const uint32_t i2  = fastdiv((blockDim.z * blockIdx.z + threadIdx.z), ne3);
     const uint32_t i3  = (blockDim.z * blockIdx.z + threadIdx.z) - (i2 * ne3.z);
 
-    if (i0s >= ne0 || i1 >= ne1 || i2 >= ne2 || i3 >= ne3.z) {
+    if (i0s >= (uint32_t)ne0 || i1 >= (uint32_t)ne1 || i2 >= (uint32_t)ne2 || i3 >= ne3.z) {
         return;
     }
 

ggml/src/ggml-cuda/mmq.cu

@@ -81,7 +81,7 @@ static __global__ void mmq_ids_helper(
 #pragma unroll
             for (int offset = neu_padded; offset < warp_size; offset += neu_padded) {
                 const int tmp = __shfl_up_sync(0xFFFFFFFF, it_compact_add_self, offset, warp_size);
-                if (threadIdx.x >= offset) {
+                if (threadIdx.x >= static_cast<unsigned int>(offset)) {
                     it_compact_add_lower += tmp;
                 }
             }
@@ -110,7 +110,7 @@ static __global__ void mmq_ids_helper(
 
     expert_bounds[expert] = nex_prev;
 
-    if (expert < gridDim.x - 1) {
+    if (expert < static_cast<int>(gridDim.x) - 1) {
         return;
     }
 

ggml/src/ggml-cuda/mmvq.cu

@@ -220,7 +220,7 @@ static __global__ void mul_mat_vec_q(
             tmp[j][i] = warp_reduce_sum<warp_size>(tmp[j][i]);
         }
 
-        if (threadIdx.x < rows_per_cuda_block && (rows_per_cuda_block == 1 || row0 + int(threadIdx.x) < stride_col_dst)) {
+        if (threadIdx.x < rows_per_cuda_block && (rows_per_cuda_block == 1 || uint32_t(row0 + threadIdx.x) < stride_col_dst)) {
             dst[j*stride_col_dst + threadIdx.x] = tmp[j][threadIdx.x];
         }
     }

ggml/src/ggml-cuda/pad_reflect_1d.cu

@@ -51,6 +51,8 @@ static __global__ __launch_bounds__(CUDA_PAD_REFLECT_1D_BLOCK_SIZE, 1) void
     }
     const float value               = *(const float *) (src0_ptr + src_idx * nb00);
     *(float *) (dst_ptr + i0 * nb0) = value;
+
+    GGML_UNUSED(p1);
 }
 
 void ggml_cuda_op_pad_reflect_1d(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {