vulkan: extend topk_moe to handle sigmoid w/exp_probs_b for nemotron (#18295)
* vulkan: extend topk_moe to handle sigmoid w/exp_probs_b for nemotron Also handle GGML_OP_SCALE at the end (nemotron, deepseek2). Fewer pipeline variants and spec constants, just use push constants. In test_topk_moe, change exp_probs_b to be 1D, matching real networks. Update test-backend-ops and ggml-backend to allow verifying multiple outputs in a fusion test (topk_moe has two outputs). Previously only the final node was verified. * change test_topk_moe to allow results in arbitrary order * disable sigmoid fusion for moltenvk
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@@ -2053,7 +2053,7 @@ void ggml_backend_graph_copy_free(struct ggml_backend_graph_copy copy) {
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ggml_free(copy.ctx_unallocated);
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}
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bool ggml_backend_compare_graph_backend(ggml_backend_t backend1, ggml_backend_t backend2, struct ggml_cgraph * graph, ggml_backend_eval_callback callback, void * user_data, struct ggml_tensor * test_node) {
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bool ggml_backend_compare_graph_backend(ggml_backend_t backend1, ggml_backend_t backend2, struct ggml_cgraph * graph, ggml_backend_eval_callback callback, void * user_data, struct ggml_tensor const * const * test_nodes, size_t num_test_nodes) {
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struct ggml_backend_graph_copy copy = ggml_backend_graph_copy(backend2, graph);
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if (copy.buffer == NULL) {
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return false;
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@@ -2064,22 +2064,22 @@ bool ggml_backend_compare_graph_backend(ggml_backend_t backend1, ggml_backend_t
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assert(g1->n_nodes == g2->n_nodes);
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if (test_node != nullptr) {
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// Compute the whole graph and only test the output for a specific tensor
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if (num_test_nodes != 0) {
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GGML_ASSERT(test_nodes);
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// Compute the whole graph and only test the output for specific tensors
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ggml_backend_graph_compute(backend1, g1);
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ggml_backend_graph_compute(backend2, g2);
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int test_node_idx = -1;
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bool verified = false;
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for (int i = 0; i < g1->n_nodes; i++) {
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struct ggml_tensor * t1 = g1->nodes[i];
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if (t1 == test_node) {
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test_node_idx = i;
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break;
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for (size_t j = 0; j < num_test_nodes; ++j) {
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if (g1->nodes[i] == test_nodes[j]) {
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callback(i, g1->nodes[i], g2->nodes[i], user_data);
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verified = true;
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}
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}
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}
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GGML_ASSERT(test_node_idx != -1);
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callback(test_node_idx, g1->nodes[test_node_idx], g2->nodes[test_node_idx], user_data);
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GGML_ASSERT(verified);
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} else {
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for (int i = 0; i < g1->n_nodes; i++) {
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struct ggml_tensor * t1 = g1->nodes[i];
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