From 1f3d5eb8e9e0ac6009c951da7de1649e23d8b70b Mon Sep 17 00:00:00 2001 From: bssrdf Date: Wed, 29 Oct 2025 22:47:03 -0400 Subject: [PATCH] prevent CI compile failure --- ggml/src/ggml-cuda/conv2d-implicit.cu | 30 +++++++++++++-------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/ggml/src/ggml-cuda/conv2d-implicit.cu b/ggml/src/ggml-cuda/conv2d-implicit.cu index fcb053c61d..3bb0df8bdc 100644 --- a/ggml/src/ggml-cuda/conv2d-implicit.cu +++ b/ggml/src/ggml-cuda/conv2d-implicit.cu @@ -1007,12 +1007,12 @@ void ggml_cuda_op_conv2d_implicit(ggml_backend_cuda_context & ctx, ggml_tensor * const int cc = ggml_cuda_info().devices[ctx.device].cc; const int32_t * p = (const int32_t *) dst->op_params; - const int ST_X = p[0]; // stride_x - const int ST_Y = p[1]; // stride_y - const int PD_X = p[2]; // padding_x - const int PD_Y = p[3]; // padding_y - const int DL_X = p[4]; // dilation_x - const int DL_Y = p[5]; // dilation_y + const uint ST_X = p[0]; // stride_x + const uint ST_Y = p[1]; // stride_y + const uint PD_X = p[2]; // padding_x + const uint PD_Y = p[3]; // padding_y + const uint DL_X = p[4]; // dilation_x + const uint DL_Y = p[5]; // dilation_y // const int LT = p[6]; // layout // GGML_ASSERT(LT == 0 || LT == 1); @@ -1022,16 +1022,16 @@ void ggml_cuda_op_conv2d_implicit(ggml_backend_cuda_context & ctx, ggml_tensor * // No cwhn GGML_ASSERT(p[6] == false); - const int IW = input->ne[0]; // input_w - const int IH = input->ne[1]; // input_h - const int OW = dst->ne[0]; // output_w - const int OH = dst->ne[1]; // output_h - const int KW = kernel->ne[0]; // kernel_w - const int KH = kernel->ne[1]; // kernel_h - const int IC = input->ne[2]; // input_channels + const uint IW = input->ne[0]; // input_w + const uint IH = input->ne[1]; // input_h + const uint OW = dst->ne[0]; // output_w + const uint OH = dst->ne[1]; // output_h + const uint KW = kernel->ne[0]; // kernel_w + const uint KH = kernel->ne[1]; // kernel_h + const uint IC = input->ne[2]; // input_channels - const int OC = kernel->ne[3]; // ouptut_chanles - const int B = input->ne[3]; // n_batches + const uint OC = kernel->ne[3]; // ouptut_chanles + const uint B = input->ne[3]; // n_batches const int64_t total = B * OC * OH * OW;