@@ -24,6 +24,7 @@ ml_options_default(struct ml_options *opt)
opt->dev_id = 0;
opt->socket_id = SOCKET_ID_ANY;
opt->nb_filelist = 0;
+ opt->quantized_io = false;
opt->repetitions = 1;
opt->burst_size = 1;
opt->queue_pairs = 1;
@@ -243,7 +244,8 @@ ml_dump_test_options(const char *testname)
"\t\t--queue_pairs : number of queue pairs to create\n"
"\t\t--queue_size : size of queue-pair\n"
"\t\t--tolerance : maximum tolerance (%%) for output validation\n"
- "\t\t--stats : enable reporting device and model statistics\n");
+ "\t\t--stats : enable reporting device and model statistics\n"
+ "\t\t--quantized_io : skip input/output quantization\n");
printf("\n");
}
}
@@ -269,6 +271,7 @@ static struct option lgopts[] = {
{ML_SOCKET_ID, 1, 0, 0},
{ML_MODELS, 1, 0, 0},
{ML_FILELIST, 1, 0, 0},
+ {ML_QUANTIZED_IO, 0, 0, 0},
{ML_REPETITIONS, 1, 0, 0},
{ML_BURST_SIZE, 1, 0, 0},
{ML_QUEUE_PAIRS, 1, 0, 0},
@@ -316,6 +319,11 @@ ml_options_parse(struct ml_options *opt, int argc, char **argv)
while ((opts = getopt_long(argc, argv, "", lgopts, &opt_idx)) != EOF) {
switch (opts) {
case 0: /* parse long options */
+ if (!strcmp(lgopts[opt_idx].name, "quantized_io")) {
+ opt->quantized_io = true;
+ break;
+ }
+
if (!strcmp(lgopts[opt_idx].name, "stats")) {
opt->stats = true;
break;
@@ -360,4 +368,5 @@ ml_options_dump(struct ml_options *opt)
ml_dump("socket_id", "%d", opt->socket_id);
ml_dump("debug", "%s", (opt->debug ? "true" : "false"));
+ ml_dump("quantized_io", "%s", (opt->quantized_io ? "true" : "false"));
}
@@ -12,19 +12,20 @@
#define ML_TEST_MAX_MODELS 8
/* Options names */
-#define ML_TEST ("test")
-#define ML_DEVICE_ID ("dev_id")
-#define ML_SOCKET_ID ("socket_id")
-#define ML_MODELS ("models")
-#define ML_FILELIST ("filelist")
-#define ML_REPETITIONS ("repetitions")
-#define ML_BURST_SIZE ("burst_size")
-#define ML_QUEUE_PAIRS ("queue_pairs")
-#define ML_QUEUE_SIZE ("queue_size")
-#define ML_TOLERANCE ("tolerance")
-#define ML_STATS ("stats")
-#define ML_DEBUG ("debug")
-#define ML_HELP ("help")
+#define ML_TEST ("test")
+#define ML_DEVICE_ID ("dev_id")
+#define ML_SOCKET_ID ("socket_id")
+#define ML_MODELS ("models")
+#define ML_FILELIST ("filelist")
+#define ML_QUANTIZED_IO ("quantized_io")
+#define ML_REPETITIONS ("repetitions")
+#define ML_BURST_SIZE ("burst_size")
+#define ML_QUEUE_PAIRS ("queue_pairs")
+#define ML_QUEUE_SIZE ("queue_size")
+#define ML_TOLERANCE ("tolerance")
+#define ML_STATS ("stats")
+#define ML_DEBUG ("debug")
+#define ML_HELP ("help")
struct ml_filelist {
char model[PATH_MAX];
@@ -46,6 +47,7 @@ struct ml_options {
float tolerance;
bool stats;
bool debug;
+ bool quantized_io;
};
void ml_options_default(struct ml_options *opt);
@@ -777,14 +777,22 @@ ml_inference_iomem_setup(struct ml_test *test, struct ml_options *opt, uint16_t
}
t->model[fid].inp_dsize = 0;
- for (i = 0; i < t->model[fid].info.nb_inputs; i++)
- t->model[fid].inp_dsize +=
- t->model[fid].info.input_info[i].nb_elements * sizeof(float);
+ for (i = 0; i < t->model[fid].info.nb_inputs; i++) {
+ if (opt->quantized_io)
+ t->model[fid].inp_dsize += t->model[fid].info.input_info[i].size;
+ else
+ t->model[fid].inp_dsize +=
+ t->model[fid].info.input_info[i].nb_elements * sizeof(float);
+ }
t->model[fid].out_dsize = 0;
- for (i = 0; i < t->model[fid].info.nb_outputs; i++)
- t->model[fid].out_dsize +=
- t->model[fid].info.output_info[i].nb_elements * sizeof(float);
+ for (i = 0; i < t->model[fid].info.nb_outputs; i++) {
+ if (opt->quantized_io)
+ t->model[fid].out_dsize += t->model[fid].info.output_info[i].size;
+ else
+ t->model[fid].out_dsize +=
+ t->model[fid].info.output_info[i].nb_elements * sizeof(float);
+ }
/* allocate buffer for user data */
mz_size = t->model[fid].inp_dsize + t->model[fid].out_dsize;
@@ -89,6 +89,9 @@ The following are the command-line options supported by the test application.
A suffix ``.q`` is appended to quantized output filename.
Maximum number of filelist entries supported by the test is ``8``.
+``--quantized_io``
+ Disable IO quantization and dequantization.
+
``--repetitions <n>``
Set the number of inference repetitions to be executed in the test per each model.
Default value is ``1``.