vbatts/llama.cpp
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quantize-stats: use less scratch memory

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Test quantization in smaller chunks instead of layer-at-a-time.
This commit is contained in:
Håkon H. Hitland 2023-04-04 00:21:01 +02:00
parent 5b1143ed93
commit a7d3c3f304
1 changed files with 23 additions and 16 deletions
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39
examples/quantize-stats/quantize-stats.cpp
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@ -28,6 +28,7 @@ struct quantize_stats_params {
std::vector<enum ggml_type> include_types;
};
const int64_t SCRATCH_ELEMENTS = 32*32;
const size_t HISTOGRAM_BUCKETS = 150;
const double HISTOGRAM_RANGE = 0.03;
@ -140,23 +141,29 @@ void test_roundtrip_on_layer(
error_stats & total_error) {
assert(tensor_is_contiguous(layer));
error_stats layer_error {};
int64_t nelements = ggml_nelements(layer);
if (layer->type == GGML_TYPE_F16) {
for (int i = 0; i < nelements; i++) {
input_scratch[i] = ggml_get_f32_1d(layer, i);
for (int64_t offset = 0; offset < nelements; offset += SCRATCH_ELEMENTS) {
int64_t chunk_size = std::min(SCRATCH_ELEMENTS, nelements - offset);
if (layer->type == GGML_TYPE_F16) {
for (int i = 0; i < chunk_size; i++) {
input_scratch[i] = ggml_get_f32_1d(layer, i + offset);
}
} else {
input_scratch = ggml_get_data_f32(layer) + offset;
}
qfns.quantize_row_q(input_scratch, quantized_scratch, chunk_size);
qfns.dequantize_row_q(quantized_scratch, output_scratch, chunk_size);
update_error_stats(chunk_size, input_scratch, output_scratch, total_error);
if (print_layer_stats) {
update_error_stats(chunk_size, input_scratch, output_scratch, layer_error);
}
} else {
input_scratch = ggml_get_data_f32(layer);
}
qfns.quantize_row_q(input_scratch, quantized_scratch, nelements);
qfns.dequantize_row_q(quantized_scratch, output_scratch, nelements);
update_error_stats(nelements, input_scratch, output_scratch, total_error);
if (print_layer_stats) {
error_stats layer_error {};
update_error_stats(nelements, input_scratch, output_scratch, layer_error);
print_error_stats(name, layer_error, false);
}
}
@ -280,11 +287,11 @@ int main(int argc, char ** argv) {
if (is_f16) {
printf("note: source model is f16\n");
}
printf("testing %d layers with max size %" PRId64 ", allocating %" PRId64 " bytes\n", included_layers, max_nelements, 3*4*max_nelements);
printf("testing %d layers with max size %" PRId64 "\n", included_layers, max_nelements);
// allocate scratch space
std::vector<float> input_scratch(max_nelements);
std::vector<char> quantized_scratch(max_nelements*4);
std::vector<float> output_scratch(max_nelements);
std::vector<float> input_scratch(SCRATCH_ELEMENTS);
std::vector<char> quantized_scratch(SCRATCH_ELEMENTS*4);
std::vector<float> output_scratch(SCRATCH_ELEMENTS);
// loop throught quantization types
for (int i = 0; i < GGML_TYPE_COUNT; i++) {