mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-08-18 22:20:16 -04:00
@@ -1258,9 +1258,9 @@ static struct ggml_tensor * forward_lora(
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}
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static void sample_softmax(struct ggml_tensor * logits, struct ggml_tensor * probs, struct ggml_tensor * best_samples) {
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assert(logits->n_dims == 2);
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assert(probs->n_dims == 2);
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assert(best_samples->n_dims == 1);
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assert(ggml_is_matrix(logits));
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assert(ggml_is_matrix(probs));
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assert(ggml_is_vector(best_samples));
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assert(logits->ne[1] == best_samples->ne[0]);
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assert(logits->ne[0] == probs->ne[0]);
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assert(logits->ne[1] == probs->ne[1]);
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@@ -1292,9 +1292,9 @@ static void sample_softmax_batch(
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struct ggml_context * ctx, struct ggml_tensor * logits, struct ggml_tensor * probs,
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struct ggml_tensor * best_samples
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) {
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GGML_ASSERT(best_samples->n_dims == 2);
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GGML_ASSERT(logits->n_dims == 3);
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GGML_ASSERT(probs->n_dims == 3);
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GGML_ASSERT(ggml_is_matrix(best_samples));
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GGML_ASSERT(ggml_is_3d(logits));
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GGML_ASSERT(ggml_is_3d(probs));
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int n_tokens = best_samples->ne[0];
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int n_batch = best_samples->ne[1];
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int n_vocab = logits->ne[0];
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@@ -1334,7 +1334,7 @@ static void print_row(struct ggml_tensor * probs, int i) {
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}
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static void print_matrix(struct ggml_tensor * probs) {
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assert(probs->n_dims == 2);
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assert(ggml_is_matrix(probs));
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for (int i = 0; i < probs->ne[1]; ++i) {
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for (int k = 0; k < probs->ne[0]; ++k) {
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float p = ggml_get_f32_1d(probs, i*probs->ne[0] + k);
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@@ -1386,8 +1386,8 @@ static void get_example_targets(int example_id, struct ggml_tensor * tokens_inpu
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static void get_example_targets_batch(
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struct ggml_context * ctx, int example_id, struct ggml_tensor * tokens_input, struct ggml_tensor * targets
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) {
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GGML_ASSERT(tokens_input->n_dims == 2);
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GGML_ASSERT( targets->n_dims == 3);
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GGML_ASSERT(ggml_is_matrix(tokens_input));
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GGML_ASSERT(ggml_is_3d(targets));
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int n_tokens = tokens_input->ne[0];
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int n_batch = tokens_input->ne[1];
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GGML_ASSERT(n_tokens == targets->ne[1]);
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