From: Srikanth Yalavarthi <syalavarthi@marvell.com>
To: Srikanth Yalavarthi <syalavarthi@marvell.com>
Cc: <dev@dpdk.org>, <sshankarnara@marvell.com>, <aprabhu@marvell.com>,
<ptakkar@marvell.com>
Subject: [PATCH v5 13/34] ml/cnxk: update device debug functions
Date: Tue, 17 Oct 2023 23:47:41 -0700 [thread overview]
Message-ID: <20231018064806.24145-14-syalavarthi@marvell.com> (raw)
In-Reply-To: <20231018064806.24145-1-syalavarthi@marvell.com>
Added cnxk wrapper for device dump and selftest debug
functions.
Signed-off-by: Srikanth Yalavarthi <syalavarthi@marvell.com>
---
drivers/ml/cnxk/cn10k_ml_model.c | 118 +++++++++++++++++++++
drivers/ml/cnxk/cn10k_ml_model.h | 1 +
drivers/ml/cnxk/cn10k_ml_ocm.c | 8 +-
drivers/ml/cnxk/cn10k_ml_ocm.h | 2 +-
drivers/ml/cnxk/cn10k_ml_ops.c | 176 ++-----------------------------
drivers/ml/cnxk/cn10k_ml_ops.h | 4 +-
drivers/ml/cnxk/cnxk_ml_model.c | 33 ++++++
drivers/ml/cnxk/cnxk_ml_model.h | 2 +
drivers/ml/cnxk/cnxk_ml_ops.c | 39 ++++++-
drivers/ml/cnxk/cnxk_ml_utils.c | 15 +++
drivers/ml/cnxk/cnxk_ml_utils.h | 17 +++
drivers/ml/cnxk/meson.build | 2 +
12 files changed, 236 insertions(+), 181 deletions(-)
create mode 100644 drivers/ml/cnxk/cnxk_ml_utils.c
create mode 100644 drivers/ml/cnxk/cnxk_ml_utils.h
diff --git a/drivers/ml/cnxk/cn10k_ml_model.c b/drivers/ml/cnxk/cn10k_ml_model.c
index 69a60b9b90..b765b4ada9 100644
--- a/drivers/ml/cnxk/cn10k_ml_model.c
+++ b/drivers/ml/cnxk/cn10k_ml_model.c
@@ -11,6 +11,7 @@
#include "cnxk_ml_dev.h"
#include "cnxk_ml_model.h"
#include "cnxk_ml_ops.h"
+#include "cnxk_ml_utils.h"
static enum rte_ml_io_type
cn10k_ml_io_type_map(uint8_t type)
@@ -596,3 +597,120 @@ cn10k_ml_model_info_set(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_model *mo
rte_ml_io_type_size_get(io_info->output[i].qtype);
}
}
+
+void
+cn10k_ml_layer_print(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_layer *layer, FILE *fp)
+{
+ struct cn10k_ml_ocm *ocm;
+ char str[STR_LEN];
+ uint8_t i;
+ uint8_t j;
+
+ ocm = &cnxk_mldev->cn10k_mldev.ocm;
+
+ /* Print debug info */
+ cnxk_ml_print_line(fp, LINE_LEN);
+ fprintf(fp, " Layer Information (Layer ID: %u, Name: %s)\n",
+ cnxk_mldev->index_map[layer->index].layer_id, layer->name);
+ cnxk_ml_print_line(fp, LINE_LEN);
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "index", layer->index);
+ fprintf(fp, "%*s : %s\n", FIELD_LEN, "name", layer->name);
+ fprintf(fp, "%*s : %u.%u.%u.%u\n", FIELD_LEN, "version",
+ layer->glow.metadata.model.version[0], layer->glow.metadata.model.version[1],
+ layer->glow.metadata.model.version[2], layer->glow.metadata.model.version[3]);
+ fprintf(fp, "%*s : 0x%016lx\n", FIELD_LEN, "layer", PLT_U64_CAST(layer));
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "batch_size", layer->batch_size);
+
+ /* Print model state */
+ if (layer->state == ML_CNXK_LAYER_STATE_LOADED)
+ fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "loaded");
+ if (layer->state == ML_CNXK_LAYER_STATE_JOB_ACTIVE)
+ fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "job_active");
+ if (layer->state == ML_CNXK_LAYER_STATE_STARTED)
+ fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "started");
+
+ /* Print OCM status */
+ fprintf(fp, "%*s : %" PRIu64 " bytes\n", FIELD_LEN, "wb_size",
+ layer->glow.metadata.model.ocm_wb_range_end -
+ layer->glow.metadata.model.ocm_wb_range_start + 1);
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "wb_pages", layer->glow.ocm_map.wb_pages);
+ fprintf(fp, "%*s : %" PRIu64 " bytes\n", FIELD_LEN, "scratch_size",
+ ocm->size_per_tile - layer->glow.metadata.model.ocm_tmp_range_floor);
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "scratch_pages", layer->glow.ocm_map.scratch_pages);
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "num_tiles",
+ layer->glow.metadata.model.tile_end - layer->glow.metadata.model.tile_start + 1);
+
+ if (layer->state == ML_CNXK_LAYER_STATE_STARTED) {
+ fprintf(fp, "%*s : 0x%0*" PRIx64 "\n", FIELD_LEN, "tilemask",
+ ML_CN10K_OCM_NUMTILES / 4, layer->glow.ocm_map.tilemask);
+ fprintf(fp, "%*s : 0x%" PRIx64 "\n", FIELD_LEN, "ocm_wb_start",
+ layer->glow.ocm_map.wb_page_start * ocm->page_size);
+ }
+
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "num_inputs", layer->glow.metadata.model.num_input);
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "num_outputs", layer->glow.metadata.model.num_output);
+ fprintf(fp, "\n");
+
+ cnxk_ml_print_line(fp, LINE_LEN);
+ fprintf(fp, "%8s %16s %12s %18s\n", "input", "input_name", "input_type",
+ "model_input_type");
+ cnxk_ml_print_line(fp, LINE_LEN);
+ for (i = 0; i < layer->glow.metadata.model.num_input; i++) {
+ if (i < MRVL_ML_NUM_INPUT_OUTPUT_1) {
+ fprintf(fp, "%8u ", i);
+ fprintf(fp, "%*s ", 16, layer->glow.metadata.input1[i].input_name);
+ rte_ml_io_type_to_str(layer->glow.metadata.input1[i].input_type, str,
+ STR_LEN);
+ fprintf(fp, "%*s ", 12, str);
+ rte_ml_io_type_to_str(layer->glow.metadata.input1[i].model_input_type, str,
+ STR_LEN);
+ fprintf(fp, "%*s ", 18, str);
+ fprintf(fp, "\n");
+ } else {
+ j = i - MRVL_ML_NUM_INPUT_OUTPUT_1;
+
+ fprintf(fp, "%8u ", i);
+ fprintf(fp, "%*s ", 16, layer->glow.metadata.input2[j].input_name);
+ rte_ml_io_type_to_str(layer->glow.metadata.input2[j].input_type, str,
+ STR_LEN);
+ fprintf(fp, "%*s ", 12, str);
+ rte_ml_io_type_to_str(layer->glow.metadata.input2[j].model_input_type, str,
+ STR_LEN);
+ fprintf(fp, "%*s ", 18, str);
+ fprintf(fp, "\n");
+ }
+ }
+ fprintf(fp, "\n");
+
+ cnxk_ml_print_line(fp, LINE_LEN);
+ fprintf(fp, "%8s %16s %12s %18s\n", "output", "output_name", "output_type",
+ "model_output_type");
+ cnxk_ml_print_line(fp, LINE_LEN);
+ for (i = 0; i < layer->glow.metadata.model.num_output; i++) {
+ if (i < MRVL_ML_NUM_INPUT_OUTPUT_1) {
+ fprintf(fp, "%8u ", i);
+ fprintf(fp, "%*s ", 16, layer->glow.metadata.output1[i].output_name);
+ rte_ml_io_type_to_str(layer->glow.metadata.output1[i].output_type, str,
+ STR_LEN);
+ fprintf(fp, "%*s ", 12, str);
+ rte_ml_io_type_to_str(layer->glow.metadata.output1[i].model_output_type,
+ str, STR_LEN);
+ fprintf(fp, "%*s ", 18, str);
+ fprintf(fp, "\n");
+ } else {
+ j = i - MRVL_ML_NUM_INPUT_OUTPUT_1;
+ fprintf(fp, "%8u ", i);
+ fprintf(fp, "%*s ", 16, layer->glow.metadata.output2[j].output_name);
+ rte_ml_io_type_to_str(layer->glow.metadata.output2[j].output_type, str,
+ STR_LEN);
+ fprintf(fp, "%*s ", 12, str);
+ rte_ml_io_type_to_str(layer->glow.metadata.output2[j].model_output_type,
+ str, STR_LEN);
+ fprintf(fp, "%*s ", 18, str);
+ fprintf(fp, "\n");
+ }
+ }
+ fprintf(fp, "\n");
+ cnxk_ml_print_line(fp, LINE_LEN);
+ fprintf(fp, "\n");
+}
diff --git a/drivers/ml/cnxk/cn10k_ml_model.h b/drivers/ml/cnxk/cn10k_ml_model.h
index b891c9d627..45f2ed5fcf 100644
--- a/drivers/ml/cnxk/cn10k_ml_model.h
+++ b/drivers/ml/cnxk/cn10k_ml_model.h
@@ -460,5 +460,6 @@ int cn10k_ml_model_ocm_pages_count(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_m
void cn10k_ml_model_info_set(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_model *model,
struct cnxk_ml_io_info *io_info,
struct cn10k_ml_model_metadata *metadata);
+void cn10k_ml_layer_print(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_layer *layer, FILE *fp);
#endif /* _CN10K_ML_MODEL_H_ */
diff --git a/drivers/ml/cnxk/cn10k_ml_ocm.c b/drivers/ml/cnxk/cn10k_ml_ocm.c
index 2197e5e0ed..dc315cce10 100644
--- a/drivers/ml/cnxk/cn10k_ml_ocm.c
+++ b/drivers/ml/cnxk/cn10k_ml_ocm.c
@@ -481,19 +481,15 @@ cn10k_ml_ocm_pagemask_to_str(struct cn10k_ml_ocm_tile_info *tile_info, uint16_t
}
void
-cn10k_ml_ocm_print(struct rte_ml_dev *dev, FILE *fp)
+cn10k_ml_ocm_print(struct cnxk_ml_dev *cnxk_mldev, FILE *fp)
{
- struct cn10k_ml_dev *cn10k_mldev;
- struct cnxk_ml_dev *cnxk_mldev;
struct cn10k_ml_ocm *ocm;
uint8_t tile_id;
uint8_t word_id;
int wb_pages;
char *str;
- cnxk_mldev = dev->data->dev_private;
- cn10k_mldev = &cnxk_mldev->cn10k_mldev;
- ocm = &cn10k_mldev->ocm;
+ ocm = &cnxk_mldev->cn10k_mldev.ocm;
/* Nibbles + prefix '0x' */
str = rte_zmalloc("ocm_mask_str", ocm->num_pages / 4 + 2, RTE_CACHE_LINE_SIZE);
diff --git a/drivers/ml/cnxk/cn10k_ml_ocm.h b/drivers/ml/cnxk/cn10k_ml_ocm.h
index 97b723a56a..bf8944f8ee 100644
--- a/drivers/ml/cnxk/cn10k_ml_ocm.h
+++ b/drivers/ml/cnxk/cn10k_ml_ocm.h
@@ -83,6 +83,6 @@ void cn10k_ml_ocm_reserve_pages(struct cnxk_ml_dev *cnxk_mldev, uint16_t model_i
uint16_t layer_id, uint64_t tilemask, int wb_page_start,
uint16_t wb_pages, uint16_t scratch_pages);
void cn10k_ml_ocm_free_pages(struct cnxk_ml_dev *cnxk_mldev, uint16_t model_id, uint16_t layer_id);
-void cn10k_ml_ocm_print(struct rte_ml_dev *dev, FILE *fp);
+void cn10k_ml_ocm_print(struct cnxk_ml_dev *cnxk_mldev, FILE *fp);
#endif /* _CN10K_ML_OCM_H_ */
diff --git a/drivers/ml/cnxk/cn10k_ml_ops.c b/drivers/ml/cnxk/cn10k_ml_ops.c
index ff190b7f86..0a3575879f 100644
--- a/drivers/ml/cnxk/cn10k_ml_ops.c
+++ b/drivers/ml/cnxk/cn10k_ml_ops.c
@@ -18,11 +18,6 @@
/* ML layer macros */
#define CN10K_ML_LAYER_MEMZONE_NAME "ml_cn10k_layer_mz"
-/* Debug print width */
-#define STR_LEN 12
-#define FIELD_LEN 16
-#define LINE_LEN 90
-
/* ML Job descriptor flags */
#define ML_FLAGS_POLL_COMPL BIT(0)
#define ML_FLAGS_SSO_COMPL BIT(1)
@@ -70,16 +65,6 @@ static const struct cn10k_ml_stype_db_driver {
{ML_DRIVER_ERR_FW_ERROR, "UNKNOWN FIRMWARE ERROR"},
};
-static void
-print_line(FILE *fp, int len)
-{
- int i;
-
- for (i = 0; i < len; i++)
- fprintf(fp, "-");
- fprintf(fp, "\n");
-}
-
static inline void
cn10k_ml_set_poll_addr(struct cnxk_ml_req *req)
{
@@ -113,140 +98,6 @@ cn10k_ml_qp_initialize(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_qp *qp)
}
}
-static void
-cn10k_ml_model_print(struct rte_ml_dev *dev, uint16_t model_id, FILE *fp)
-{
- struct cn10k_ml_dev *cn10k_mldev;
- struct cnxk_ml_dev *cnxk_mldev;
- struct cnxk_ml_model *model;
- struct cn10k_ml_ocm *ocm;
- char str[STR_LEN];
- uint8_t i;
- uint8_t j;
-
- cnxk_mldev = dev->data->dev_private;
- cn10k_mldev = &cnxk_mldev->cn10k_mldev;
- ocm = &cn10k_mldev->ocm;
- model = dev->data->models[model_id];
-
- /* Print debug info */
- print_line(fp, LINE_LEN);
- fprintf(fp, " Model Information (%s)\n", model->glow.metadata.model.name);
- print_line(fp, LINE_LEN);
- fprintf(fp, "%*s : %s\n", FIELD_LEN, "name", model->glow.metadata.model.name);
- fprintf(fp, "%*s : %u.%u.%u.%u\n", FIELD_LEN, "version",
- model->glow.metadata.model.version[0], model->glow.metadata.model.version[1],
- model->glow.metadata.model.version[2], model->glow.metadata.model.version[3]);
- if (strlen(model->name) != 0)
- fprintf(fp, "%*s : %s\n", FIELD_LEN, "debug_name", model->name);
- fprintf(fp, "%*s : 0x%016lx\n", FIELD_LEN, "model", PLT_U64_CAST(model));
- fprintf(fp, "%*s : %u\n", FIELD_LEN, "model_id", model->model_id);
- fprintf(fp, "%*s : %u\n", FIELD_LEN, "batch_size", model->glow.metadata.model.batch_size);
- fprintf(fp, "%*s : %u\n", FIELD_LEN, "num_layers", model->glow.metadata.model.num_layers);
-
- /* Print model state */
- if (model->state == ML_CNXK_MODEL_STATE_LOADED)
- fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "loaded");
- if (model->state == ML_CNXK_MODEL_STATE_JOB_ACTIVE)
- fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "job_active");
- if (model->state == ML_CNXK_MODEL_STATE_STARTED)
- fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "started");
-
- /* Print OCM status */
- fprintf(fp, "%*s : %" PRIu64 " bytes\n", FIELD_LEN, "wb_size",
- model->glow.metadata.model.ocm_wb_range_end -
- model->glow.metadata.model.ocm_wb_range_start + 1);
- fprintf(fp, "%*s : %u\n", FIELD_LEN, "wb_pages", model->layer[0].glow.ocm_map.wb_pages);
- fprintf(fp, "%*s : %" PRIu64 " bytes\n", FIELD_LEN, "scratch_size",
- ocm->size_per_tile - model->glow.metadata.model.ocm_tmp_range_floor);
- fprintf(fp, "%*s : %u\n", FIELD_LEN, "scratch_pages",
- model->layer[0].glow.ocm_map.scratch_pages);
- fprintf(fp, "%*s : %u\n", FIELD_LEN, "num_tiles",
- model->glow.metadata.model.tile_end - model->glow.metadata.model.tile_start + 1);
-
- if (model->state == ML_CNXK_MODEL_STATE_STARTED) {
- fprintf(fp, "%*s : 0x%0*" PRIx64 "\n", FIELD_LEN, "tilemask",
- ML_CN10K_OCM_NUMTILES / 4, model->layer[0].glow.ocm_map.tilemask);
- fprintf(fp, "%*s : 0x%" PRIx64 "\n", FIELD_LEN, "ocm_wb_start",
- model->layer[0].glow.ocm_map.wb_page_start * cn10k_mldev->ocm.page_size);
- }
-
- fprintf(fp, "%*s : %u\n", FIELD_LEN, "num_inputs", model->glow.metadata.model.num_input);
- fprintf(fp, "%*s : %u\n", FIELD_LEN, "num_outputs", model->glow.metadata.model.num_output);
- fprintf(fp, "\n");
-
- print_line(fp, LINE_LEN);
- fprintf(fp, "%8s %16s %12s %18s %12s\n", "input", "input_name", "input_type",
- "model_input_type", "quantize");
- print_line(fp, LINE_LEN);
- for (i = 0; i < model->glow.metadata.model.num_input; i++) {
- if (i < MRVL_ML_NUM_INPUT_OUTPUT_1) {
- fprintf(fp, "%8u ", i);
- fprintf(fp, "%*s ", 16, model->glow.metadata.input1[i].input_name);
- rte_ml_io_type_to_str(model->glow.metadata.input1[i].input_type, str,
- STR_LEN);
- fprintf(fp, "%*s ", 12, str);
- rte_ml_io_type_to_str(model->glow.metadata.input1[i].model_input_type, str,
- STR_LEN);
- fprintf(fp, "%*s ", 18, str);
- fprintf(fp, "%*s", 12,
- (model->glow.metadata.input1[i].quantize == 1 ? "Yes" : "No"));
- fprintf(fp, "\n");
- } else {
- j = i - MRVL_ML_NUM_INPUT_OUTPUT_1;
-
- fprintf(fp, "%8u ", i);
- fprintf(fp, "%*s ", 16, model->glow.metadata.input2[j].input_name);
- rte_ml_io_type_to_str(model->glow.metadata.input2[j].input_type, str,
- STR_LEN);
- fprintf(fp, "%*s ", 12, str);
- rte_ml_io_type_to_str(model->glow.metadata.input2[j].model_input_type, str,
- STR_LEN);
- fprintf(fp, "%*s ", 18, str);
- fprintf(fp, "%*s", 12,
- (model->glow.metadata.input2[j].quantize == 1 ? "Yes" : "No"));
- fprintf(fp, "\n");
- }
- }
- fprintf(fp, "\n");
-
- print_line(fp, LINE_LEN);
- fprintf(fp, "%8s %16s %12s %18s %12s\n", "output", "output_name", "output_type",
- "model_output_type", "dequantize");
- print_line(fp, LINE_LEN);
- for (i = 0; i < model->glow.metadata.model.num_output; i++) {
- if (i < MRVL_ML_NUM_INPUT_OUTPUT_1) {
- fprintf(fp, "%8u ", i);
- fprintf(fp, "%*s ", 16, model->glow.metadata.output1[i].output_name);
- rte_ml_io_type_to_str(model->glow.metadata.output1[i].output_type, str,
- STR_LEN);
- fprintf(fp, "%*s ", 12, str);
- rte_ml_io_type_to_str(model->glow.metadata.output1[i].model_output_type,
- str, STR_LEN);
- fprintf(fp, "%*s ", 18, str);
- fprintf(fp, "%*s", 12,
- (model->glow.metadata.output1[i].dequantize == 1 ? "Yes" : "No"));
- fprintf(fp, "\n");
- } else {
- j = i - MRVL_ML_NUM_INPUT_OUTPUT_1;
- fprintf(fp, "%8u ", i);
- fprintf(fp, "%*s ", 16, model->glow.metadata.output2[j].output_name);
- rte_ml_io_type_to_str(model->glow.metadata.output2[j].output_type, str,
- STR_LEN);
- fprintf(fp, "%*s ", 12, str);
- rte_ml_io_type_to_str(model->glow.metadata.output2[j].model_output_type,
- str, STR_LEN);
- fprintf(fp, "%*s ", 18, str);
- fprintf(fp, "%*s", 12,
- (model->glow.metadata.output2[j].dequantize == 1 ? "Yes" : "No"));
- fprintf(fp, "\n");
- }
- }
- fprintf(fp, "\n");
- print_line(fp, LINE_LEN);
- fprintf(fp, "\n");
-}
-
static void
cn10k_ml_prep_sp_job_descriptor(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_layer *layer,
struct cnxk_ml_req *req, enum cn10k_ml_job_type job_type)
@@ -1120,38 +971,25 @@ cn10k_ml_dev_xstats_reset(struct rte_ml_dev *dev, enum rte_ml_dev_xstats_mode mo
}
int
-cn10k_ml_dev_dump(struct rte_ml_dev *dev, FILE *fp)
+cn10k_ml_dev_dump(struct cnxk_ml_dev *cnxk_mldev, FILE *fp)
{
struct cn10k_ml_dev *cn10k_mldev;
- struct cnxk_ml_dev *cnxk_mldev;
- struct cnxk_ml_model *model;
struct cn10k_ml_fw *fw;
uint32_t head_loc;
uint32_t tail_loc;
- uint16_t model_id;
uint32_t bufsize;
char *head_ptr;
int core_id;
- if (roc_env_is_asim())
- return 0;
-
- cnxk_mldev = dev->data->dev_private;
cn10k_mldev = &cnxk_mldev->cn10k_mldev;
fw = &cn10k_mldev->fw;
- /* Dump model info */
- for (model_id = 0; model_id < dev->data->nb_models; model_id++) {
- model = dev->data->models[model_id];
- if (model != NULL) {
- cn10k_ml_model_print(dev, model_id, fp);
- fprintf(fp, "\n");
- }
- }
-
/* Dump OCM state */
- cn10k_ml_ocm_print(dev, fp);
+ cn10k_ml_ocm_print(cnxk_mldev, fp);
+
+ if (roc_env_is_asim())
+ return 0;
/* Dump debug buffer */
for (core_id = 0; core_id <= 1; core_id++) {
@@ -1207,17 +1045,15 @@ cn10k_ml_dev_dump(struct rte_ml_dev *dev, FILE *fp)
}
int
-cn10k_ml_dev_selftest(struct rte_ml_dev *dev)
+cn10k_ml_dev_selftest(struct cnxk_ml_dev *cnxk_mldev)
{
struct cn10k_ml_dev *cn10k_mldev;
- struct cnxk_ml_dev *cnxk_mldev;
const struct plt_memzone *mz;
struct cnxk_ml_req *req;
uint64_t timeout_cycle;
bool timeout;
int ret;
- cnxk_mldev = dev->data->dev_private;
cn10k_mldev = &cnxk_mldev->cn10k_mldev;
mz = plt_memzone_reserve_aligned("dev_selftest", sizeof(struct cnxk_ml_req), 0,
ML_CN10K_ALIGN_SIZE);
diff --git a/drivers/ml/cnxk/cn10k_ml_ops.h b/drivers/ml/cnxk/cn10k_ml_ops.h
index 780e2a9f9c..5fda98ae88 100644
--- a/drivers/ml/cnxk/cn10k_ml_ops.h
+++ b/drivers/ml/cnxk/cn10k_ml_ops.h
@@ -295,8 +295,8 @@ int cn10k_ml_dev_configure(struct cnxk_ml_dev *cnxk_mldev, const struct rte_ml_d
int cn10k_ml_dev_close(struct cnxk_ml_dev *cnxk_mldev);
int cn10k_ml_dev_start(struct cnxk_ml_dev *cnxk_mldev);
int cn10k_ml_dev_stop(struct cnxk_ml_dev *cnxk_mldev);
-int cn10k_ml_dev_dump(struct rte_ml_dev *dev, FILE *fp);
-int cn10k_ml_dev_selftest(struct rte_ml_dev *dev);
+int cn10k_ml_dev_dump(struct cnxk_ml_dev *cnxk_mldev, FILE *fp);
+int cn10k_ml_dev_selftest(struct cnxk_ml_dev *cnxk_mldev);
int cn10k_ml_dev_stats_get(struct rte_ml_dev *dev, struct rte_ml_dev_stats *stats);
void cn10k_ml_dev_stats_reset(struct rte_ml_dev *dev);
diff --git a/drivers/ml/cnxk/cnxk_ml_model.c b/drivers/ml/cnxk/cnxk_ml_model.c
index 3d735ced3e..b069d4e3a5 100644
--- a/drivers/ml/cnxk/cnxk_ml_model.c
+++ b/drivers/ml/cnxk/cnxk_ml_model.c
@@ -5,3 +5,36 @@
#include <rte_mldev.h>
#include "cnxk_ml_model.h"
+#include "cnxk_ml_utils.h"
+
+void
+cnxk_ml_model_dump(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_model *model, FILE *fp)
+{
+ struct cnxk_ml_layer *layer;
+ uint16_t layer_id;
+
+ /* Print debug info */
+ cnxk_ml_print_line(fp, LINE_LEN);
+ fprintf(fp, " Model Information (Model ID: %u, Name: %s)\n", model->model_id, model->name);
+ cnxk_ml_print_line(fp, LINE_LEN);
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "model_id", model->model_id);
+ fprintf(fp, "%*s : %s\n", FIELD_LEN, "name", model->name);
+ fprintf(fp, "%*s : 0x%016lx\n", FIELD_LEN, "model", PLT_U64_CAST(model));
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "batch_size", model->batch_size);
+ fprintf(fp, "%*s : %u\n", FIELD_LEN, "nb_layers", model->nb_layers);
+
+ /* Print model state */
+ if (model->state == ML_CNXK_MODEL_STATE_LOADED)
+ fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "loaded");
+ if (model->state == ML_CNXK_MODEL_STATE_JOB_ACTIVE)
+ fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "job_active");
+ if (model->state == ML_CNXK_MODEL_STATE_STARTED)
+ fprintf(fp, "%*s : %s\n", FIELD_LEN, "state", "started");
+ cnxk_ml_print_line(fp, LINE_LEN);
+ fprintf(fp, "\n");
+
+ for (layer_id = 0; layer_id < model->nb_layers; layer_id++) {
+ layer = &model->layer[layer_id];
+ cn10k_ml_layer_print(cnxk_mldev, layer, fp);
+ }
+}
diff --git a/drivers/ml/cnxk/cnxk_ml_model.h b/drivers/ml/cnxk/cnxk_ml_model.h
index a2994dbb71..66d979dd3c 100644
--- a/drivers/ml/cnxk/cnxk_ml_model.h
+++ b/drivers/ml/cnxk/cnxk_ml_model.h
@@ -108,4 +108,6 @@ struct cnxk_ml_model {
plt_spinlock_t lock;
};
+void cnxk_ml_model_dump(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_model *model, FILE *fp);
+
#endif /* _CNXK_ML_MODEL_H_ */
diff --git a/drivers/ml/cnxk/cnxk_ml_ops.c b/drivers/ml/cnxk/cnxk_ml_ops.c
index 63842025fc..66b88ddae1 100644
--- a/drivers/ml/cnxk/cnxk_ml_ops.c
+++ b/drivers/ml/cnxk/cnxk_ml_ops.c
@@ -409,6 +409,41 @@ cnxk_ml_dev_stop(struct rte_ml_dev *dev)
return 0;
}
+static int
+cnxk_ml_dev_dump(struct rte_ml_dev *dev, FILE *fp)
+{
+ struct cnxk_ml_dev *cnxk_mldev;
+ struct cnxk_ml_model *model;
+ uint16_t model_id;
+
+ if ((dev == NULL) || (fp == NULL))
+ return -EINVAL;
+
+ cnxk_mldev = dev->data->dev_private;
+
+ /* Dump model info */
+ for (model_id = 0; model_id < cnxk_mldev->mldev->data->nb_models; model_id++) {
+ model = cnxk_mldev->mldev->data->models[model_id];
+ if (model != NULL)
+ cnxk_ml_model_dump(cnxk_mldev, model, fp);
+ }
+
+ return cn10k_ml_dev_dump(cnxk_mldev, fp);
+}
+
+static int
+cnxk_ml_dev_selftest(struct rte_ml_dev *dev)
+{
+ struct cnxk_ml_dev *cnxk_mldev;
+
+ if (dev == NULL)
+ return -EINVAL;
+
+ cnxk_mldev = dev->data->dev_private;
+
+ return cn10k_ml_dev_selftest(cnxk_mldev);
+}
+
static int
cnxk_ml_dev_queue_pair_setup(struct rte_ml_dev *dev, uint16_t queue_pair_id,
const struct rte_ml_dev_qp_conf *qp_conf, int socket_id)
@@ -729,8 +764,8 @@ struct rte_ml_dev_ops cnxk_ml_ops = {
.dev_close = cnxk_ml_dev_close,
.dev_start = cnxk_ml_dev_start,
.dev_stop = cnxk_ml_dev_stop,
- .dev_dump = cn10k_ml_dev_dump,
- .dev_selftest = cn10k_ml_dev_selftest,
+ .dev_dump = cnxk_ml_dev_dump,
+ .dev_selftest = cnxk_ml_dev_selftest,
/* Queue-pair handling ops */
.dev_queue_pair_setup = cnxk_ml_dev_queue_pair_setup,
diff --git a/drivers/ml/cnxk/cnxk_ml_utils.c b/drivers/ml/cnxk/cnxk_ml_utils.c
new file mode 100644
index 0000000000..ca3670a9e8
--- /dev/null
+++ b/drivers/ml/cnxk/cnxk_ml_utils.c
@@ -0,0 +1,15 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2023 Marvell.
+ */
+
+#include "cnxk_ml_utils.h"
+
+void
+cnxk_ml_print_line(FILE *fp, int len)
+{
+ int i;
+
+ for (i = 0; i < len; i++)
+ fprintf(fp, "-");
+ fprintf(fp, "\n");
+}
diff --git a/drivers/ml/cnxk/cnxk_ml_utils.h b/drivers/ml/cnxk/cnxk_ml_utils.h
new file mode 100644
index 0000000000..ed2ab21346
--- /dev/null
+++ b/drivers/ml/cnxk/cnxk_ml_utils.h
@@ -0,0 +1,17 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2023 Marvell.
+ */
+
+#ifndef _CNXK_ML_UTILS_H_
+#define _CNXK_ML_UTILS_H_
+
+#include <rte_mldev.h>
+
+/* Debug print width */
+#define STR_LEN 12
+#define FIELD_LEN 16
+#define LINE_LEN 72
+
+void cnxk_ml_print_line(FILE *fp, int len);
+
+#endif /* _CNXK_ML_UTILS_H_ */
diff --git a/drivers/ml/cnxk/meson.build b/drivers/ml/cnxk/meson.build
index 9cc4ddec70..575f08f9c0 100644
--- a/drivers/ml/cnxk/meson.build
+++ b/drivers/ml/cnxk/meson.build
@@ -17,6 +17,7 @@ driver_sdk_headers = files(
'cnxk_ml_model.h',
'cnxk_ml_ops.h',
'cnxk_ml_xstats.h',
+ 'cnxk_ml_utils.h',
)
sources = files(
@@ -28,6 +29,7 @@ sources = files(
'cnxk_ml_io.c',
'cnxk_ml_model.c',
'cnxk_ml_ops.c',
+ 'cnxk_ml_utils.c',
)
deps += ['mldev', 'common_cnxk', 'kvargs', 'hash']
--
2.42.0
next prev parent reply other threads:[~2023-10-18 6:50 UTC|newest]
Thread overview: 340+ messages / expand[flat|nested] mbox.gz Atom feed top
2023-08-30 15:58 [PATCH v1 00/34] Implemenation of revised ml/cnxk driver Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 01/34] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 02/34] ml/cnxk: drop use of RTE API for firmware read Srikanth Yalavarthi
2023-09-21 12:08 ` Jerin Jacob
2023-09-21 12:52 ` David Marchand
2023-09-21 13:06 ` [EXT] " Srikanth Yalavarthi
2023-09-21 13:26 ` David Marchand
2023-09-22 3:59 ` Srikanth Yalavarthi
2023-09-22 8:07 ` David Marchand
2023-09-22 16:59 ` Srikanth Yalavarthi
2023-09-27 9:38 ` David Marchand
2023-09-27 10:00 ` [EXT] " Srikanth Yalavarthi
2023-09-27 18:37 ` Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 03/34] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 04/34] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 05/34] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 06/34] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 07/34] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 08/34] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-08-30 15:58 ` [PATCH v1 09/34] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 10/34] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 11/34] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 12/34] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 13/34] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 14/34] ml/cnxk: update device debug functions Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 15/34] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 16/34] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 17/34] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 18/34] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 19/34] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-09-21 12:32 ` Jerin Jacob
2023-09-27 18:38 ` [EXT] " Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 20/34] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 21/34] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 22/34] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 23/34] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 24/34] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 25/34] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 26/34] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 27/34] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 28/34] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 29/34] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 30/34] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 31/34] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 32/34] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 33/34] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-08-30 15:59 ` [PATCH v1 34/34] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 00/34] Implemenation of revised ml/cnxk driver Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 01/34] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 02/34] ml/cnxk: drop use of RTE API for firmware read Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 03/34] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 04/34] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 05/34] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 06/34] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 07/34] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-09-20 7:24 ` [PATCH v2 08/34] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 09/34] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 10/34] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 11/34] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 12/34] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 13/34] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 14/34] ml/cnxk: update device debug functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 15/34] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 16/34] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 17/34] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 18/34] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 19/34] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 20/34] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 21/34] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 22/34] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 23/34] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 24/34] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 25/34] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 26/34] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 27/34] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 28/34] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 29/34] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 30/34] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 31/34] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 32/34] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 33/34] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-09-20 7:25 ` [PATCH v2 34/34] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-09-21 12:15 ` [PATCH v2 00/34] Implemenation of revised ml/cnxk driver Jerin Jacob
2023-09-27 18:39 ` [EXT] " Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 00/35] " Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 01/35] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 02/35] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 03/35] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 04/35] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 05/35] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 06/35] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 07/35] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 08/35] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 09/35] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 10/35] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 11/35] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 12/35] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 13/35] ml/cnxk: update device debug functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 14/35] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 15/35] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 16/35] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 17/35] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 18/35] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 19/35] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 20/35] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 21/35] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 22/35] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 23/35] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 24/35] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 25/35] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 26/35] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 27/35] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 28/35] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 29/35] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 30/35] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 31/35] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 32/35] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 33/35] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 34/35] ml/cnxk: update dependency info in driver docs Srikanth Yalavarthi
2023-09-28 4:12 ` Jerin Jacob
2023-10-01 0:32 ` [EXT] " Srikanth Yalavarthi
2023-10-17 17:03 ` Srikanth Yalavarthi
2023-09-27 18:30 ` [PATCH v3 35/35] ml/cnxk: update release notes for 23.11 Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 00/34] Implementation of revised ml/cnxk driver Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 01/34] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 02/34] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 03/34] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 04/34] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 05/34] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 06/34] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 07/34] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 08/34] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 09/34] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 10/34] ml/cnxk: enable OCM check for multilayer TVM model Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 11/34] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 12/34] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 13/34] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 14/34] ml/cnxk: update device debug functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 15/34] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 16/34] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 17/34] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 18/34] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 19/34] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 20/34] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 21/34] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 22/34] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 23/34] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 24/34] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 25/34] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 26/34] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 27/34] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 28/34] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 29/34] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 30/34] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 31/34] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 32/34] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 33/34] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-10-17 16:59 ` [PATCH v4 34/34] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-10-18 1:56 ` [PATCH v4 00/34] Implementation of revised ml/cnxk driver Jerin Jacob
2023-10-18 6:55 ` [EXT] " Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 " Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 01/34] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 02/34] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 03/34] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 04/34] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 05/34] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 06/34] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 07/34] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 08/34] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 09/34] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 10/34] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 11/34] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 12/34] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-10-18 6:47 ` Srikanth Yalavarthi [this message]
2023-10-18 6:47 ` [PATCH v5 14/34] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 15/34] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 16/34] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 17/34] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 18/34] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 19/34] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 20/34] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 21/34] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 22/34] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 23/34] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 24/34] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 25/34] ml/cnxk: enable OCM check for multilayer TVM model Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 26/34] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 27/34] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 28/34] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 29/34] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 30/34] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-10-18 6:47 ` [PATCH v5 31/34] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-10-18 6:48 ` [PATCH v5 32/34] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-10-18 6:48 ` [PATCH v5 33/34] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-10-18 6:48 ` [PATCH v5 34/34] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 00/34] Implementation of revised ml/cnxk driver Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 01/34] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 02/34] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 03/34] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 04/34] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 05/34] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 06/34] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 07/34] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 08/34] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 09/34] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 10/34] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 11/34] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 12/34] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 13/34] ml/cnxk: update device debug functions Srikanth Yalavarthi
2023-10-18 13:53 ` [PATCH v6 14/34] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 15/34] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 16/34] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 17/34] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 18/34] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-10-18 18:34 ` Jerin Jacob
2023-10-19 6:44 ` [EXT] " Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 19/34] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 20/34] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 21/34] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 22/34] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 23/34] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 24/34] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 25/34] ml/cnxk: enable OCM check for multilayer TVM model Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 26/34] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 27/34] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 28/34] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 29/34] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 30/34] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 31/34] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 32/34] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 33/34] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-10-18 13:54 ` [PATCH v6 34/34] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-10-18 14:20 ` [PATCH v6 00/34] Implementation of revised ml/cnxk driver Jerin Jacob
2023-10-19 6:41 ` [EXT] " Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 " Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 01/34] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 02/34] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 03/34] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 04/34] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 05/34] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 06/34] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 07/34] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 08/34] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 09/34] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-10-19 4:16 ` [PATCH v7 10/34] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 11/34] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 12/34] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 13/34] ml/cnxk: update device debug functions Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 14/34] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 15/34] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 16/34] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 17/34] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 18/34] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 19/34] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 20/34] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 21/34] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 22/34] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 23/34] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 24/34] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 25/34] ml/cnxk: enable OCM check for multilayer TVM model Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 26/34] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 27/34] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 28/34] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 29/34] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 30/34] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 31/34] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 32/34] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 33/34] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-10-19 4:17 ` [PATCH v7 34/34] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 00/34] Implementation of revised ml/cnxk driver Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 01/34] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 02/34] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 03/34] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 04/34] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 05/34] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 06/34] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 07/34] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 08/34] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 09/34] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 10/34] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 11/34] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 12/34] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 13/34] ml/cnxk: update device debug functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 14/34] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 15/34] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 16/34] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 17/34] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 18/34] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 19/34] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 20/34] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 21/34] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 22/34] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 23/34] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 24/34] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 25/34] ml/cnxk: enable OCM check for multilayer TVM model Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 26/34] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 27/34] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 28/34] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 29/34] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 30/34] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 31/34] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 32/34] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 33/34] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-10-23 4:41 ` [PATCH v8 34/34] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 00/34] Implementation of revised ml/cnxk driver Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 01/34] ml/cnxk: drop support for register polling Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 02/34] ml/cnxk: add generic cnxk device structure Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 03/34] ml/cnxk: add generic model and layer structures Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 04/34] ml/cnxk: add generic cnxk request structure Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 05/34] ml/cnxk: add generic cnxk xstats structures Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 06/34] ml/cnxk: rename cnxk ops function pointers struct Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 07/34] ml/cnxk: update device handling functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 08/34] ml/cnxk: update queue-pair " Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 09/34] ml/cnxk: update model load and unload functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 10/34] ml/cnxk: update model start and stop functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 11/34] ml/cnxk: update model utility functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 12/34] ml/cnxk: update data quantization functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 13/34] ml/cnxk: update device debug functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 14/34] ml/cnxk: update device stats functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 15/34] ml/cnxk: update device and model xstats functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 16/34] ml/cnxk: update fast path functions Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 17/34] ml/cnxk: move error handling to cnxk layer Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 18/34] ml/cnxk: support config and close of tvmdp library Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 19/34] ml/cnxk: add structures to support TVM model type Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 20/34] ml/cnxk: add support for identify " Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 21/34] ml/cnxk: add support to parse TVM model objects Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 22/34] ml/cnxk: fetch layer info and load TVM model Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 23/34] ml/cnxk: update internal info for " Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 24/34] ml/cnxk: enable model unload in tvmdp library Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 25/34] ml/cnxk: enable OCM check for multilayer TVM model Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 26/34] ml/cnxk: support start and stop for TVM models Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 27/34] ml/cnxk: update internal TVM model info structure Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 28/34] ml/cnxk: support device dump for TVM models Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 29/34] ml/cnxk: enable reporting model runtime as xstats Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 30/34] ml/cnxk: implement I/O alloc and free callbacks Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 31/34] ml/cnxk: add generic ML malloc and free callback Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 32/34] ml/cnxk: support quantize and dequantize callback Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 33/34] ml/cnxk: enable fast-path ops for TVM models Srikanth Yalavarthi
2023-10-26 12:43 ` [PATCH v9 34/34] ml/cnxk: enable creation of mvtvm virtual device Srikanth Yalavarthi
2023-10-29 12:53 ` [PATCH v9 00/34] Implementation of revised ml/cnxk driver Jerin Jacob
Reply instructions:
You may reply publicly to this message via plain-text email
using any one of the following methods:
* Save the following mbox file, import it into your mail client,
and reply-to-all from there: mbox
Avoid top-posting and favor interleaved quoting:
https://en.wikipedia.org/wiki/Posting_style#Interleaved_style
* Reply using the --to, --cc, and --in-reply-to
switches of git-send-email(1):
git send-email \
--in-reply-to=20231018064806.24145-14-syalavarthi@marvell.com \
--to=syalavarthi@marvell.com \
--cc=aprabhu@marvell.com \
--cc=dev@dpdk.org \
--cc=ptakkar@marvell.com \
--cc=sshankarnara@marvell.com \
/path/to/YOUR_REPLY
https://kernel.org/pub/software/scm/git/docs/git-send-email.html
* If your mail client supports setting the In-Reply-To header
via mailto: links, try the mailto: link
Be sure your reply has a Subject: header at the top and a blank line
before the message body.
This is a public inbox, see mirroring instructions
for how to clone and mirror all data and code used for this inbox;
as well as URLs for NNTP newsgroup(s).