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Daniel Bevenius 2024-10-31 00:24:08 -04:00 committed by GitHub
commit 8378989ad1
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16 changed files with 50 additions and 50 deletions

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@ -541,7 +541,7 @@ std::string string_from(const struct llama_context * ctx, const struct llama_bat
<< ":pos " << std::to_string(batch.pos[i])
<< ":n_seq_id " << std::to_string(batch.n_seq_id[i])
<< ":seq_id " << std::to_string(batch.seq_id[i][0])
<< ":logits " << std::to_string(batch.logits[i]);
<< ":output " << std::to_string(batch.output[i]);
}
buf << " ]";
@ -1467,7 +1467,7 @@ void common_batch_add(
llama_token id,
llama_pos pos,
const std::vector<llama_seq_id> & seq_ids,
bool logits) {
bool output) {
GGML_ASSERT(batch.seq_id[batch.n_tokens] && "llama_batch size exceeded");
batch.token [batch.n_tokens] = id;
@ -1476,7 +1476,7 @@ void common_batch_add(
for (size_t i = 0; i < seq_ids.size(); ++i) {
batch.seq_id[batch.n_tokens][i] = seq_ids[i];
}
batch.logits [batch.n_tokens] = logits;
batch.output [batch.n_tokens] = output;
batch.n_tokens++;
}

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@ -73,7 +73,7 @@ int main(int argc, char ** argv) {
batch.pos + i,
batch.n_seq_id + i,
batch.seq_id + i,
batch.logits + i,
batch.output + i,
};
const int ret = llama_decode(ctx, batch_view);
@ -128,7 +128,7 @@ int main(int argc, char ** argv) {
common_batch_add(batch, 0, i, { j }, false);
}
}
batch.logits[batch.n_tokens - 1] = true;
batch.output[batch.n_tokens - 1] = true;
const auto t_pp_start = ggml_time_us();

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@ -99,11 +99,11 @@ for (i, token) in tokens.enumerated() {
if let seq_id = batch.seq_id[i] {
seq_id[0] = 0
}
batch.logits[i] = 0
batch.output[i] = 0
}
// llama_decode will output logits only for the last token of the prompt
batch.logits[Int(batch.n_tokens) - 1] = 1
batch.output[Int(batch.n_tokens) - 1] = 1
if llama_decode(context, batch) != 0 {
print("llama_decode() failed")
@ -166,7 +166,7 @@ while n_cur <= n_len {
if let seq_id = batch.seq_id[Int(batch.n_tokens)] {
seq_id[0] = Int32(i)
}
batch.logits[Int(batch.n_tokens)] = 1
batch.output[Int(batch.n_tokens)] = 1
i_batch[i] = batch.n_tokens

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@ -128,7 +128,7 @@ int main(int argc, char ** argv) {
}
// llama_decode will output logits only for the last token of the prompt
batch.logits[batch.n_tokens - 1] = true;
batch.output[batch.n_tokens - 1] = true;
if (llama_decode(ctx, batch) != 0) {
LOG_ERR("%s: llama_decode() failed\n", __func__);

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@ -54,7 +54,7 @@ static void batch_decode(llama_context * ctx, llama_batch & batch, float * outpu
}
for (int i = 0; i < batch.n_tokens; i++) {
if (!batch.logits[i]) {
if (!batch.output[i]) {
continue;
}

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@ -193,7 +193,7 @@ Java_android_llama_cpp_LLamaAndroid_bench_1model(
common_batch_add(*batch, 0, i, { 0 }, false);
}
batch->logits[batch->n_tokens - 1] = true;
batch->output[batch->n_tokens - 1] = true;
llama_kv_cache_clear(context);
const auto t_pp_start = ggml_time_us();
@ -297,7 +297,7 @@ Java_android_llama_cpp_LLamaAndroid_new_1batch(JNIEnv *, jobject, jint n_tokens,
for (int i = 0; i < n_tokens; ++i) {
batch->seq_id[i] = (llama_seq_id *) malloc(sizeof(llama_seq_id) * n_seq_max);
}
batch->logits = (int8_t *) malloc(sizeof(int8_t) * n_tokens);
batch->output = (int8_t *) malloc(sizeof(int8_t) * n_tokens);
return reinterpret_cast<jlong>(batch);
}
@ -377,7 +377,7 @@ Java_android_llama_cpp_LLamaAndroid_completion_1init(
}
// llama_decode will output logits only for the last token of the prompt
batch->logits[batch->n_tokens - 1] = true;
batch->output[batch->n_tokens - 1] = true;
if (llama_decode(context, *batch) != 0) {
LOGe("llama_decode() failed");

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@ -16,7 +16,7 @@ func llama_batch_add(_ batch: inout llama_batch, _ id: llama_token, _ pos: llama
for i in 0..<seq_ids.count {
batch.seq_id[Int(batch.n_tokens)]![Int(i)] = seq_ids[i]
}
batch.logits [Int(batch.n_tokens)] = logits ? 1 : 0
batch.output [Int(batch.n_tokens)] = logits ? 1 : 0
batch.n_tokens += 1
}
@ -137,7 +137,7 @@ actor LlamaContext {
let i = Int(i1)
llama_batch_add(&batch, tokens_list[i], Int32(i), [0], false)
}
batch.logits[Int(batch.n_tokens) - 1] = 1 // true
batch.output[Int(batch.n_tokens) - 1] = 1 // true
if llama_decode(context, batch) != 0 {
print("llama_decode() failed")
@ -206,7 +206,7 @@ actor LlamaContext {
for i in 0..<n_tokens {
llama_batch_add(&batch, 0, Int32(i), [0], false)
}
batch.logits[Int(batch.n_tokens) - 1] = 1 // true
batch.output[Int(batch.n_tokens) - 1] = 1 // true
llama_kv_cache_clear(context)

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@ -406,13 +406,13 @@ struct llava_embd_batch {
std::vector<int32_t> n_seq_id;
std::vector<llama_seq_id> seq_id_0;
std::vector<llama_seq_id *> seq_ids;
std::vector<int8_t> logits;
std::vector<int8_t> outputs;
llama_batch batch;
llava_embd_batch(float * embd, int32_t n_tokens, llama_pos pos_0, llama_seq_id seq_id) {
pos .resize(n_tokens);
n_seq_id.resize(n_tokens);
seq_ids .resize(n_tokens + 1);
logits .resize(n_tokens);
outputs .resize(n_tokens);
seq_id_0.resize(1);
seq_id_0[0] = seq_id;
seq_ids [n_tokens] = nullptr;
@ -423,13 +423,13 @@ struct llava_embd_batch {
/*pos =*/ pos.data(),
/*n_seq_id =*/ n_seq_id.data(),
/*seq_id =*/ seq_ids.data(),
/*logits =*/ logits.data(),
/*output =*/ outputs.data(),
};
for (int i = 0; i < n_tokens; i++) {
batch.pos [i] = pos_0 + i;
batch.n_seq_id[i] = 1;
batch.seq_id [i] = seq_id_0.data();
batch.logits [i] = false;
batch.output [i] = false;
}
}
};

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@ -264,7 +264,7 @@ int main(int argc, char ** argv) {
// extract the logits only for the last token
if (batch.n_tokens > 0) {
batch.logits[batch.n_tokens - 1] = true;
batch.output[batch.n_tokens - 1] = true;
}
client.n_prompt = tokens_prompt.size();
@ -307,7 +307,7 @@ int main(int argc, char ** argv) {
batch.pos + i,
batch.n_seq_id + i,
batch.seq_id + i,
batch.logits + i,
batch.output + i,
};
const int ret = llama_decode(ctx, batch_view);

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@ -144,7 +144,7 @@ int main(int argc, char ** argv) {
}
if (i + n_batch >= n_tokens_all) {
batch.logits[batch.n_tokens - 1] = true;
batch.output[batch.n_tokens - 1] = true;
}
if (llama_decode(ctx, batch) != 0) {
@ -178,7 +178,7 @@ int main(int argc, char ** argv) {
}
if (i + n_batch >= n_tokens_all) {
batch.logits[batch.n_tokens - 1] = true;
batch.output[batch.n_tokens - 1] = true;
}
if (llama_decode(ctx, batch) != 0) {

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@ -615,9 +615,9 @@ static results_perplexity perplexity(llama_context * ctx, const common_params &
batch.pos [idx] = j*n_batch + k;
batch.n_seq_id[idx] = 1;
batch.seq_id [idx][0] = seq;
batch.logits [idx] = batch.pos[idx] >= first ? 1 : 0;
batch.output [idx] = batch.pos[idx] >= first ? 1 : 0;
n_outputs += batch.logits[idx] != 0;
n_outputs += batch.output[idx] != 0;
}
batch.n_tokens += batch_size;
@ -712,7 +712,7 @@ static bool decode_helper(llama_context * ctx, llama_batch & batch, std::vector<
batch.pos + i,
batch.n_seq_id + i,
batch.seq_id + i,
batch.logits + i,
batch.output + i,
};
const int ret = llama_decode(ctx, batch_view);
@ -723,7 +723,7 @@ static bool decode_helper(llama_context * ctx, llama_batch & batch, std::vector<
int n_outputs = 0;
for (int i = 0; i < n_tokens; ++i) {
n_outputs += batch_view.logits[i] != 0;
n_outputs += batch_view.output[i] != 0;
}
memcpy(batch_logits.data() + size_t(prev_outputs)*n_vocab, llama_get_logits(ctx), size_t(n_outputs)*n_vocab*sizeof(float));
@ -936,7 +936,7 @@ static void hellaswag_score(llama_context * ctx, const common_params & params) {
for (size_t i = 0; i < hs_cur.common_prefix; ++i) {
common_batch_add(batch, hs_cur.seq_tokens[0][i], i, { s0 + 0, s0 + 1, s0 + 2, s0 + 3 }, false);
}
batch.logits[batch.n_tokens - 1] = true; // we need logits for the last token of the common prefix
batch.output[batch.n_tokens - 1] = true; // we need logits for the last token of the common prefix
n_logits += 1;
for (int s = 0; s < 4; ++s) {
@ -1215,7 +1215,7 @@ static void winogrande_score(llama_context * ctx, const common_params & params)
for (size_t i = 0; i < data[i1].common_prefix; ++i) {
common_batch_add(batch, data[i1].seq_tokens[0][i], i, { s0 + 0, s0 + 1 }, false);
}
batch.logits[batch.n_tokens - 1] = true;
batch.output[batch.n_tokens - 1] = true;
n_logits += 1;
for (int s = 0; s < 2; ++s) {
@ -1581,7 +1581,7 @@ static void multiple_choice_score(llama_context * ctx, const common_params & par
//llama_batch_add(batch, cur_task.seq_tokens[0][i], i, { s0 + 0, s0 + 1, s0 + 2, s0 + 3}, false);
common_batch_add(batch, cur_task.seq_tokens[0][i], i, batch_indeces, false);
}
batch.logits[batch.n_tokens - 1] = true; // we need logits for the last token of the common prefix
batch.output[batch.n_tokens - 1] = true; // we need logits for the last token of the common prefix
n_logits += 1;
for (int s = 0; s < int(cur_task.seq_tokens.size()); ++s) {

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@ -92,7 +92,7 @@ static void batch_decode(llama_context * ctx, llama_batch & batch, float * outpu
}
for (int i = 0; i < batch.n_tokens; i++) {
if (!batch.logits[i]) {
if (!batch.output[i]) {
continue;
}

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@ -52,7 +52,7 @@ int main(int argc, char ** argv) {
for (size_t i = 0; i < tokens.size(); i++) {
common_batch_add(batch, tokens[i], i, {0}, false);
}
batch.logits[batch.n_tokens - 1] = true; // generate next token
batch.output[batch.n_tokens - 1] = true; // generate next token
// evaluate prompt
llama_decode(ctx, batch);

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@ -1295,7 +1295,7 @@ struct server_context {
std::vector<float> embd_res(n_embd, 0.0f);
for (int i = 0; i < batch.n_tokens; ++i) {
if (!batch.logits[i] || batch.seq_id[i][0] != slot.id + 1) {
if (!batch.output[i] || batch.seq_id[i][0] != slot.id + 1) {
continue;
}
@ -1335,7 +1335,7 @@ struct server_context {
res.stop = true;
for (int i = 0; i < batch.n_tokens; ++i) {
if (!batch.logits[i] || batch.seq_id[i][0] != slot.id + 1) {
if (!batch.output[i] || batch.seq_id[i][0] != slot.id + 1) {
continue;
}
@ -2083,7 +2083,7 @@ struct server_context {
}
// extract the logits only for the last token
batch.logits[batch.n_tokens - 1] = true;
batch.output[batch.n_tokens - 1] = true;
slot.n_decoded = 0;
slot.i_batch = batch.n_tokens - 1;
@ -2119,7 +2119,7 @@ struct server_context {
batch.pos + i,
batch.n_seq_id + i,
batch.seq_id + i,
batch.logits + i,
batch.output + i,
};
const int ret = llama_decode(ctx, batch_view);

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@ -247,7 +247,7 @@ extern "C" {
llama_pos * pos;
int32_t * n_seq_id;
llama_seq_id ** seq_id;
int8_t * logits; // TODO: rename this to "output"
int8_t * output;
} llama_batch;
enum llama_model_kv_override_type {

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@ -3072,17 +3072,17 @@ struct llama_sbatch {
ubatch.output[ubatch.n_tokens + i] = 1;
out_ids.push_back(ids[seq.offset + i]);
}
} else if (batch->logits) {
} else if (batch->output) {
if (ubatch.equal_seqs) {
for (size_t i = 0; i < length; ++i) {
size_t id = ids[seq.offset + i];
int8_t is_output = batch->logits[id];
int8_t is_output = batch->output[id];
ubatch.output[ubatch.n_tokens + i] = is_output;
if (is_output) { out_ids.push_back(id); }
}
} else {
// simple split
ubatch.output = batch->logits + seq.offset;
ubatch.output = batch->output + seq.offset;
for (size_t i = 0; i < length; ++i) {
if (ubatch.output[i] != 0) { out_ids.push_back(seq.offset + i); }
}
@ -5139,7 +5139,7 @@ struct llama_batch_allocr {
std::vector<llama_pos> pos;
std::vector<int32_t> n_seq_id;
std::vector<llama_seq_id *> seq_id;
std::vector<int8_t> logits;
std::vector<int8_t> outputs;
struct llama_batch batch;
// optionally fulfill the batch returned by llama_batch_get_one
llama_batch_allocr(llama_context & ctx, struct llama_batch in_batch) {
@ -5175,10 +5175,10 @@ struct llama_batch_allocr {
}
batch.seq_id = seq_id.data();
}
if (!batch.logits) {
logits.resize(batch.n_tokens);
logits[logits.size() - 1] = true;
batch.logits = logits.data();
if (!batch.output) {
outputs.resize(batch.n_tokens);
outputs[outputs.size() - 1] = true;
batch.output = outputs.data();
}
}
};
@ -17307,9 +17307,9 @@ static int llama_decode_internal(
lctx.embd_seq.clear();
// count outputs
if (batch.logits && !embd_pooled) {
if (batch.output && !embd_pooled) {
for (uint32_t i = 0; i < n_tokens_all; ++i) {
n_outputs += batch.logits[i] != 0;
n_outputs += batch.output[i] != 0;
}
} else if (lctx.logits_all || embd_pooled) {
n_outputs = n_tokens_all;
@ -21234,7 +21234,7 @@ struct llama_batch llama_batch_init(int32_t n_tokens_alloc, int32_t embd, int32_
}
batch.seq_id[n_tokens_alloc] = nullptr;
batch.logits = (int8_t *) malloc(sizeof(int8_t) * n_tokens_alloc);
batch.output = (int8_t *) malloc(sizeof(int8_t) * n_tokens_alloc);
return batch;
}
@ -21250,7 +21250,7 @@ void llama_batch_free(struct llama_batch batch) {
}
free(batch.seq_id);
}
if (batch.logits) free(batch.logits);
if (batch.output) free(batch.output);
}
int32_t llama_encode(