vbatts/llama.cpp
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review: modify codes as review suggestion

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zhou.weiguo 2024-06-14 23:18:43 +08:00
parent 11c7b1e25a
commit 181c0e3b0f
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1 changed files with 4 additions and 16 deletions
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20
examples/benchmark/benchmark-matmult.cpp
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@ -33,18 +33,10 @@ static void ggml_graph_compute_helper(std::vector<uint8_t> & buf, ggml_cgraph *
}
static float tensor_sum_elements(const ggml_tensor * tensor) {
double sum = 0;
float floatvalue = 0;
double sum = 0.0;
float floatvalue = 0.0f;
unsigned short shortvalue = 0;
if (tensor->type == GGML_TYPE_I8) {
for (int j = 0; j < tensor->ne[1]; j++) {
for (int k = 0; k < tensor->ne[0]; k++) {
sum += ((int8_t *) tensor->data)[j * tensor->ne[0] + k];
}
}
}
if (tensor->type == GGML_TYPE_F16) {
for (int j = 0; j < tensor->ne[1]; j++) {
for (int k = 0; k < tensor->ne[0]; k++) {
@ -53,17 +45,13 @@ static float tensor_sum_elements(const ggml_tensor * tensor) {
sum += floatvalue;
}
}
}
if (tensor->type == GGML_TYPE_F32) {
} else if (tensor->type == GGML_TYPE_F32) {
for (int j = 0; j < tensor->ne[1]; j++) {
for (int k = 0; k < tensor->ne[0]; k++) {
sum += ((float *) tensor->data)[j * tensor->ne[0] + k];
}
}
}
if (ggml_is_quantized(tensor->type)) {
} else if (ggml_is_quantized(tensor->type)) {
std::vector<float> f32out(ggml_nelements(tensor));
ggml_type_traits_t qtype = ggml_internal_get_type_traits(tensor->type);
qtype.to_float((void *)tensor->data, f32out.data(), f32out.size());