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cann: support q4_0 model (#8822)

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wangshuai09
2024-08-05 12:22:30 +08:00
committed by GitHub
parent 0d6fb52be0
commit c02b0a8a4d
7 changed files with 357 additions and 45 deletions
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31
ggml/src/ggml-cann/acl_tensor.cpp
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@@ -37,6 +37,10 @@ aclDataType ggml_cann_type_mapping(ggml_type type) {
return ACL_INT16;
case GGML_TYPE_I32:
return ACL_INT32;
case GGML_TYPE_Q4_0:
return ACL_INT4;
case GGML_TYPE_Q8_0:
return ACL_INT8;
default:
return ACL_DT_UNDEFINED;
}
@@ -89,33 +93,6 @@ bool ggml_cann_need_bcast(const ggml_tensor* t0, const ggml_tensor* t1) {
return false;
}
aclTensor* ggml_cann_create_tensor(void* data_ptr, aclDataType dtype,
size_t type_size, int64_t* ne, size_t* nb,
int64_t dims, aclFormat format,
size_t offset) {
int64_t tmp_ne[GGML_MAX_DIMS * 2];
int64_t tmp_stride[GGML_MAX_DIMS * 2];
memcpy(tmp_ne, ne, dims * sizeof(int64_t));
for (int i = 0; i < dims; i++) {
tmp_stride[i] = nb[i] / type_size;
}
std::reverse(tmp_ne, tmp_ne + dims);
std::reverse(tmp_stride, tmp_stride + dims);
int64_t acl_storage_len = 0;
for (int i = 0; i < dims; i++) {
acl_storage_len += (ne[i] - 1) * nb[i];
}
aclTensor* acl_tensor =
aclCreateTensor(tmp_ne, dims, dtype, tmp_stride, offset / type_size,
format, &acl_storage_len, 1, data_ptr);
return acl_tensor;
}
int64_t ggml_cann_get_bcast_shape(const ggml_tensor* src0,
const ggml_tensor* src1,
int64_t* bcast_src0_ne,