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 v2 34/34] ml/cnxk: enable creation of mvtvm virtual device
Date: Wed, 20 Sep 2023 00:25:25 -0700 [thread overview]
Message-ID: <20230920072528.14185-35-syalavarthi@marvell.com> (raw)
In-Reply-To: <20230920072528.14185-1-syalavarthi@marvell.com>
Enable support to create a mvtvm virtual device on system's
without a PCI based ML HW accelerator.
Signed-off-by: Srikanth Yalavarthi <syalavarthi@marvell.com>
---
drivers/ml/cnxk/cn10k_ml_dev.c | 8 ++
drivers/ml/cnxk/cn10k_ml_dev.h | 3 +
drivers/ml/cnxk/cnxk_ml_dev.c | 3 +
drivers/ml/cnxk/cnxk_ml_dev.h | 21 ++++
drivers/ml/cnxk/cnxk_ml_ops.c | 86 ++++++++++----
drivers/ml/cnxk/meson.build | 2 +
drivers/ml/cnxk/mvtvm_ml_dev.c | 198 +++++++++++++++++++++++++++++++++
drivers/ml/cnxk/mvtvm_ml_dev.h | 40 +++++++
drivers/ml/cnxk/mvtvm_ml_ops.c | 34 +++++-
drivers/ml/cnxk/mvtvm_ml_ops.h | 2 +
10 files changed, 372 insertions(+), 25 deletions(-)
create mode 100644 drivers/ml/cnxk/mvtvm_ml_dev.c
create mode 100644 drivers/ml/cnxk/mvtvm_ml_dev.h
diff --git a/drivers/ml/cnxk/cn10k_ml_dev.c b/drivers/ml/cnxk/cn10k_ml_dev.c
index 20c114b8bf..e6dc87e353 100644
--- a/drivers/ml/cnxk/cn10k_ml_dev.c
+++ b/drivers/ml/cnxk/cn10k_ml_dev.c
@@ -368,6 +368,12 @@ cn10k_ml_pci_probe(struct rte_pci_driver *pci_drv, struct rte_pci_device *pci_de
PLT_SET_USED(pci_drv);
+ if (cnxk_ml_dev_initialized == 1) {
+ plt_err("ML CNXK device already initialized!");
+ plt_err("Cannot initialize CN10K PCI dev");
+ rte_exit(-EINVAL, "Invalid EAL arguments ");
+ }
+
init_params = (struct rte_ml_dev_pmd_init_params){
.socket_id = rte_socket_id(), .private_data_size = sizeof(struct cnxk_ml_dev)};
@@ -414,6 +420,8 @@ cn10k_ml_pci_probe(struct rte_pci_driver *pci_drv, struct rte_pci_device *pci_de
dev->dequeue_burst = NULL;
dev->op_error_get = NULL;
+ cnxk_ml_dev_initialized = 1;
+ cnxk_mldev->type = CNXK_ML_DEV_TYPE_PCI;
cnxk_mldev->state = ML_CNXK_DEV_STATE_PROBED;
return 0;
diff --git a/drivers/ml/cnxk/cn10k_ml_dev.h b/drivers/ml/cnxk/cn10k_ml_dev.h
index 2e7eb6c9ef..cee405f3f5 100644
--- a/drivers/ml/cnxk/cn10k_ml_dev.h
+++ b/drivers/ml/cnxk/cn10k_ml_dev.h
@@ -11,6 +11,9 @@
#include "cnxk_ml_io.h"
+/* Device status */
+extern int cnxk_ml_dev_initialized;
+
/* Dummy Device ops */
extern struct rte_ml_dev_ops ml_dev_dummy_ops;
diff --git a/drivers/ml/cnxk/cnxk_ml_dev.c b/drivers/ml/cnxk/cnxk_ml_dev.c
index 63d1c9e417..dc4512223c 100644
--- a/drivers/ml/cnxk/cnxk_ml_dev.c
+++ b/drivers/ml/cnxk/cnxk_ml_dev.c
@@ -7,6 +7,9 @@
#include "cnxk_ml_dev.h"
+/* Device status */
+int cnxk_ml_dev_initialized;
+
/* Dummy operations for ML device */
struct rte_ml_dev_ops ml_dev_dummy_ops = {0};
diff --git a/drivers/ml/cnxk/cnxk_ml_dev.h b/drivers/ml/cnxk/cnxk_ml_dev.h
index 382fca64be..491c4c4aea 100644
--- a/drivers/ml/cnxk/cnxk_ml_dev.h
+++ b/drivers/ml/cnxk/cnxk_ml_dev.h
@@ -9,6 +9,10 @@
#include "cn10k_ml_dev.h"
+#ifdef RTE_MLDEV_CNXK_ENABLE_MVTVM
+#include "mvtvm_ml_dev.h"
+#endif
+
#include "cnxk_ml_xstats.h"
/* ML command timeout in seconds */
@@ -34,6 +38,15 @@ struct cnxk_ml_error_db {
char str[RTE_ML_STR_MAX];
};
+/* Device type */
+enum cnxk_ml_dev_type {
+ /* PCI based Marvell's ML HW accelerator device */
+ CNXK_ML_DEV_TYPE_PCI,
+
+ /* Generic Virtual device */
+ CNXK_ML_DEV_TYPE_VDEV,
+};
+
/* Device configuration state enum */
enum cnxk_ml_dev_state {
/* Probed and not configured */
@@ -66,6 +79,9 @@ struct cnxk_ml_dev {
/* RTE device */
struct rte_ml_dev *mldev;
+ /* Device type */
+ enum cnxk_ml_dev_type type;
+
/* Configuration state */
enum cnxk_ml_dev_state state;
@@ -87,6 +103,11 @@ struct cnxk_ml_dev {
/* CN10K device structure */
struct cn10k_ml_dev cn10k_mldev;
+#ifdef RTE_MLDEV_CNXK_ENABLE_MVTVM
+ /* MVTVM device structure */
+ struct mvtvm_ml_dev mvtvm_mldev;
+#endif
+
/* Maximum number of layers */
uint64_t max_nb_layers;
diff --git a/drivers/ml/cnxk/cnxk_ml_ops.c b/drivers/ml/cnxk/cnxk_ml_ops.c
index 274d152b81..9a59e3b40b 100644
--- a/drivers/ml/cnxk/cnxk_ml_ops.c
+++ b/drivers/ml/cnxk/cnxk_ml_ops.c
@@ -125,7 +125,8 @@ cnxk_ml_qp_create(const struct rte_ml_dev *dev, uint16_t qp_id, uint32_t nb_desc
qp->stats.enqueue_err_count = 0;
qp->stats.dequeue_err_count = 0;
- cn10k_ml_qp_initialize(cnxk_mldev, qp);
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI)
+ cn10k_ml_qp_initialize(cnxk_mldev, qp);
return qp;
@@ -616,7 +617,14 @@ cnxk_ml_dev_info_get(struct rte_ml_dev *dev, struct rte_ml_dev_info *dev_info)
dev_info->driver_name = dev->device->driver->name;
dev_info->max_models = ML_CNXK_MAX_MODELS;
- return cn10k_ml_dev_info_get(cnxk_mldev, dev_info);
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI)
+ return cn10k_ml_dev_info_get(cnxk_mldev, dev_info);
+#ifdef RTE_MLDEV_CNXK_ENABLE_MVTVM
+ else
+ return mvtvm_ml_dev_info_get(cnxk_mldev, dev_info);
+#endif
+
+ return 0;
}
static int
@@ -654,9 +662,11 @@ cnxk_ml_dev_configure(struct rte_ml_dev *dev, const struct rte_ml_dev_config *co
conf->nb_queue_pairs, conf->nb_models);
/* Load firmware */
- ret = cn10k_ml_fw_load(cnxk_mldev);
- if (ret != 0)
- return ret;
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI) {
+ ret = cn10k_ml_fw_load(cnxk_mldev);
+ if (ret != 0)
+ return ret;
+ }
} else if (cnxk_mldev->state == ML_CNXK_DEV_STATE_CONFIGURED) {
plt_ml_dbg("Re-configuring ML device, nb_queue_pairs = %u, nb_models = %u",
conf->nb_queue_pairs, conf->nb_models);
@@ -754,10 +764,12 @@ cnxk_ml_dev_configure(struct rte_ml_dev *dev, const struct rte_ml_dev_config *co
}
dev->data->nb_models = conf->nb_models;
- ret = cn10k_ml_dev_configure(cnxk_mldev, conf);
- if (ret != 0) {
- plt_err("Failed to configure CN10K ML Device");
- goto error;
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI) {
+ ret = cn10k_ml_dev_configure(cnxk_mldev, conf);
+ if (ret != 0) {
+ plt_err("Failed to configure CN10K ML Device");
+ goto error;
+ }
}
#ifdef RTE_MLDEV_CNXK_ENABLE_MVTVM
@@ -767,12 +779,17 @@ cnxk_ml_dev_configure(struct rte_ml_dev *dev, const struct rte_ml_dev_config *co
#endif
/* Set device capabilities */
- cnxk_mldev->max_nb_layers =
- cnxk_mldev->cn10k_mldev.fw.req->cn10k_req.jd.fw_load.cap.s.max_models;
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI)
+ cnxk_mldev->max_nb_layers =
+ cnxk_mldev->cn10k_mldev.fw.req->cn10k_req.jd.fw_load.cap.s.max_models;
+ else
+ cnxk_mldev->max_nb_layers = ML_CNXK_MAX_MODELS;
cnxk_mldev->mldev->enqueue_burst = cnxk_ml_enqueue_burst;
cnxk_mldev->mldev->dequeue_burst = cnxk_ml_dequeue_burst;
- cnxk_mldev->mldev->op_error_get = cn10k_ml_op_error_get;
+
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI)
+ cnxk_mldev->mldev->op_error_get = cn10k_ml_op_error_get;
/* Allocate and initialize index_map */
if (cnxk_mldev->index_map == NULL) {
@@ -835,8 +852,10 @@ cnxk_ml_dev_close(struct rte_ml_dev *dev)
plt_err("Failed to close MVTVM ML Device");
#endif
- if (cn10k_ml_dev_close(cnxk_mldev) != 0)
- plt_err("Failed to close CN10K ML Device");
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI) {
+ if (cn10k_ml_dev_close(cnxk_mldev) != 0)
+ plt_err("Failed to close CN10K ML Device");
+ }
if (cnxk_mldev->index_map)
rte_free(cnxk_mldev->index_map);
@@ -888,10 +907,12 @@ cnxk_ml_dev_start(struct rte_ml_dev *dev)
cnxk_mldev = dev->data->dev_private;
- ret = cn10k_ml_dev_start(cnxk_mldev);
- if (ret != 0) {
- plt_err("Failed to start CN10K ML Device");
- return ret;
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI) {
+ ret = cn10k_ml_dev_start(cnxk_mldev);
+ if (ret != 0) {
+ plt_err("Failed to start CN10K ML Device");
+ return ret;
+ }
}
cnxk_mldev->state = ML_CNXK_DEV_STATE_STARTED;
@@ -910,10 +931,12 @@ cnxk_ml_dev_stop(struct rte_ml_dev *dev)
cnxk_mldev = dev->data->dev_private;
- ret = cn10k_ml_dev_stop(cnxk_mldev);
- if (ret != 0) {
- plt_err("Failed to stop CN10K ML Device");
- return ret;
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI) {
+ ret = cn10k_ml_dev_stop(cnxk_mldev);
+ if (ret != 0) {
+ plt_err("Failed to stop CN10K ML Device");
+ return ret;
+ }
}
cnxk_mldev->state = ML_CNXK_DEV_STATE_CONFIGURED;
@@ -940,7 +963,14 @@ cnxk_ml_dev_dump(struct rte_ml_dev *dev, FILE *fp)
cnxk_ml_model_dump(cnxk_mldev, model, fp);
}
- return cn10k_ml_dev_dump(cnxk_mldev, fp);
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_PCI)
+ return cn10k_ml_dev_dump(cnxk_mldev, fp);
+#ifdef RTE_MLDEV_CNXK_ENABLE_MVTVM
+ else
+ return mvtvm_ml_dev_dump(cnxk_mldev, fp);
+#endif
+
+ return 0;
}
static int
@@ -953,6 +983,9 @@ cnxk_ml_dev_selftest(struct rte_ml_dev *dev)
cnxk_mldev = dev->data->dev_private;
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_VDEV)
+ return -ENOTSUP;
+
return cn10k_ml_dev_selftest(cnxk_mldev);
}
@@ -1281,6 +1314,11 @@ cnxk_ml_model_load(struct rte_ml_dev *dev, struct rte_ml_model_params *params, u
return -EINVAL;
}
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_VDEV && type != ML_CNXK_MODEL_TYPE_TVM) {
+ plt_err("Unsupported model type");
+ return -ENOTSUP;
+ }
+
/* Find model ID */
found = false;
for (lcl_model_id = 0; lcl_model_id < dev->data->nb_models; lcl_model_id++) {
@@ -1475,6 +1513,8 @@ cnxk_ml_model_params_update(struct rte_ml_dev *dev, uint16_t model_id, void *buf
return -EINVAL;
cnxk_mldev = dev->data->dev_private;
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_VDEV)
+ return -ENOTSUP;
model = dev->data->models[model_id];
if (model == NULL) {
diff --git a/drivers/ml/cnxk/meson.build b/drivers/ml/cnxk/meson.build
index 09a62b5c55..f5989c5caf 100644
--- a/drivers/ml/cnxk/meson.build
+++ b/drivers/ml/cnxk/meson.build
@@ -70,11 +70,13 @@ if enable_mvtvm
dpdk_conf.set('RTE_MLDEV_CNXK_ENABLE_MVTVM', true)
driver_sdk_headers += files(
+ 'mvtvm_ml_dev.h',
'mvtvm_ml_ops.h',
'mvtvm_ml_model.h',
)
sources += files(
+ 'mvtvm_ml_dev.c',
'mvtvm_ml_ops.c',
'mvtvm_ml_model.c',
)
diff --git a/drivers/ml/cnxk/mvtvm_ml_dev.c b/drivers/ml/cnxk/mvtvm_ml_dev.c
new file mode 100644
index 0000000000..8ca0e959e3
--- /dev/null
+++ b/drivers/ml/cnxk/mvtvm_ml_dev.c
@@ -0,0 +1,198 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2023 Marvell.
+ */
+
+#include <rte_kvargs.h>
+#include <rte_mldev.h>
+#include <rte_mldev_pmd.h>
+
+#include <bus_vdev_driver.h>
+
+#include <roc_api.h>
+
+#include "mvtvm_ml_dev.h"
+
+#include "cnxk_ml_dev.h"
+
+#define MVTVM_ML_DEV_MAX_QPS "max_qps"
+#define MVTVM_ML_DEV_CACHE_MODEL_DATA "cache_model_data"
+
+#define MVTVM_ML_DEV_MAX_QPS_DEFAULT 32
+#define CN10K_ML_DEV_CACHE_MODEL_DATA_DEFAULT 1
+
+static const char *const valid_args[] = {MVTVM_ML_DEV_MAX_QPS, MVTVM_ML_DEV_CACHE_MODEL_DATA, NULL};
+
+static int
+parse_integer_arg(const char *key __rte_unused, const char *value, void *extra_args)
+{
+ int *i = (int *)extra_args;
+
+ *i = atoi(value);
+ if (*i < 0) {
+ plt_err("Argument has to be positive.");
+ return -EINVAL;
+ }
+
+ return 0;
+}
+
+static int
+parse_uint_arg(const char *key __rte_unused, const char *value, void *extra_args)
+{
+ int i;
+ char *end;
+ errno = 0;
+
+ i = strtol(value, &end, 10);
+ if (*end != 0 || errno != 0 || i < 0)
+ return -EINVAL;
+
+ *((uint32_t *)extra_args) = i;
+
+ return 0;
+}
+
+static int
+mvtvm_mldev_parse_devargs(const char *args, struct mvtvm_ml_dev *mvtvm_mldev)
+{
+ bool cache_model_data_set = false;
+ struct rte_kvargs *kvlist = NULL;
+ bool max_qps_set = false;
+ int ret = 0;
+
+ if (args == NULL)
+ goto check_args;
+
+ kvlist = rte_kvargs_parse(args, valid_args);
+ if (kvlist == NULL) {
+ plt_err("Error parsing %s devargs\n", "MLDEV_NAME_MVTVM_PMD");
+ return -EINVAL;
+ }
+
+ if (rte_kvargs_count(kvlist, MVTVM_ML_DEV_MAX_QPS) == 1) {
+ ret = rte_kvargs_process(kvlist, MVTVM_ML_DEV_MAX_QPS, &parse_uint_arg,
+ &mvtvm_mldev->max_nb_qpairs);
+ if (ret < 0) {
+ plt_err("Error processing arguments, key = %s\n", MVTVM_ML_DEV_MAX_QPS);
+ ret = -EINVAL;
+ goto exit;
+ }
+ max_qps_set = true;
+ }
+
+ if (rte_kvargs_count(kvlist, MVTVM_ML_DEV_CACHE_MODEL_DATA) == 1) {
+ ret = rte_kvargs_process(kvlist, MVTVM_ML_DEV_CACHE_MODEL_DATA, &parse_integer_arg,
+ &mvtvm_mldev->cache_model_data);
+ if (ret < 0) {
+ plt_err("Error processing arguments, key = %s\n",
+ MVTVM_ML_DEV_CACHE_MODEL_DATA);
+ ret = -EINVAL;
+ goto exit;
+ }
+ cache_model_data_set = true;
+ }
+
+check_args:
+ if (!max_qps_set)
+ mvtvm_mldev->max_nb_qpairs = MVTVM_ML_DEV_MAX_QPS_DEFAULT;
+ plt_ml_dbg("ML: %s = %u", MVTVM_ML_DEV_MAX_QPS, mvtvm_mldev->max_nb_qpairs);
+
+ if (!cache_model_data_set) {
+ mvtvm_mldev->cache_model_data = CN10K_ML_DEV_CACHE_MODEL_DATA_DEFAULT;
+ } else {
+ if ((mvtvm_mldev->cache_model_data < 0) || (mvtvm_mldev->cache_model_data > 1)) {
+ plt_err("Invalid argument, %s = %d\n", MVTVM_ML_DEV_CACHE_MODEL_DATA,
+ mvtvm_mldev->cache_model_data);
+ ret = -EINVAL;
+ goto exit;
+ }
+ }
+ plt_ml_dbg("ML: %s = %d", MVTVM_ML_DEV_CACHE_MODEL_DATA, mvtvm_mldev->cache_model_data);
+
+exit:
+ if (kvlist)
+ rte_kvargs_free(kvlist);
+
+ return ret;
+}
+
+static int
+mvtvm_ml_vdev_probe(struct rte_vdev_device *vdev)
+{
+ struct rte_ml_dev_pmd_init_params init_params;
+ struct mvtvm_ml_dev *mvtvm_mldev;
+ struct cnxk_ml_dev *cnxk_mldev;
+ struct rte_ml_dev *dev;
+ const char *input_args;
+ const char *name;
+ int ret = 0;
+
+ if (cnxk_ml_dev_initialized == 1) {
+ plt_err("ML CNXK device already initialized!");
+ plt_err("Cannot initialize MVTVM vdev");
+ rte_exit(-EINVAL, "Invalid EAL arguments ");
+ }
+
+ init_params = (struct rte_ml_dev_pmd_init_params){
+ .socket_id = rte_socket_id(), .private_data_size = sizeof(struct cnxk_ml_dev)};
+
+ name = rte_vdev_device_name(vdev);
+ if (name == NULL)
+ return -EINVAL;
+ input_args = rte_vdev_device_args(vdev);
+
+ dev = rte_ml_dev_pmd_create(name, &vdev->device, &init_params);
+ if (dev == NULL) {
+ ret = -EFAULT;
+ goto error_exit;
+ }
+
+ cnxk_mldev = dev->data->dev_private;
+ cnxk_mldev->mldev = dev;
+ mvtvm_mldev = &cnxk_mldev->mvtvm_mldev;
+ mvtvm_mldev->vdev = vdev;
+
+ ret = mvtvm_mldev_parse_devargs(input_args, mvtvm_mldev);
+ if (ret < 0)
+ goto error_exit;
+
+ dev->dev_ops = &cnxk_ml_ops;
+ dev->enqueue_burst = NULL;
+ dev->dequeue_burst = NULL;
+ dev->op_error_get = NULL;
+
+ cnxk_ml_dev_initialized = 1;
+ cnxk_mldev->type = CNXK_ML_DEV_TYPE_VDEV;
+
+ return 0;
+
+error_exit:
+ plt_err("Could not create device: ml_mvtvm");
+
+ return ret;
+}
+
+static int
+mvtvm_ml_vdev_remove(struct rte_vdev_device *vdev)
+{
+ struct rte_ml_dev *dev;
+ const char *name;
+
+ name = rte_vdev_device_name(vdev);
+ if (name == NULL)
+ return -EINVAL;
+
+ dev = rte_ml_dev_pmd_get_named_dev(name);
+ if (dev == NULL)
+ return -ENODEV;
+
+ return rte_ml_dev_pmd_destroy(dev);
+}
+
+static struct rte_vdev_driver mvtvm_mldev_pmd = {.probe = mvtvm_ml_vdev_probe,
+ .remove = mvtvm_ml_vdev_remove};
+
+RTE_PMD_REGISTER_VDEV(MLDEV_NAME_MVTVM_PMD, mvtvm_mldev_pmd);
+
+RTE_PMD_REGISTER_PARAM_STRING(MLDEV_NAME_MVTVM_PMD,
+ MVTVM_ML_DEV_MAX_QPS "=<int>" MVTVM_ML_DEV_CACHE_MODEL_DATA "=<0|1>");
diff --git a/drivers/ml/cnxk/mvtvm_ml_dev.h b/drivers/ml/cnxk/mvtvm_ml_dev.h
new file mode 100644
index 0000000000..6922c19337
--- /dev/null
+++ b/drivers/ml/cnxk/mvtvm_ml_dev.h
@@ -0,0 +1,40 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2023 Marvell.
+ */
+
+#ifndef _MVTVM_ML_DEV_H_
+#define _MVTVM_ML_DEV_H_
+
+#include <rte_mldev_core.h>
+
+/* Device status */
+extern int cnxk_ml_dev_initialized;
+
+/* CNXK Device ops */
+extern struct rte_ml_dev_ops cnxk_ml_ops;
+
+/* Marvell MVTVM ML PMD device name */
+#define MLDEV_NAME_MVTVM_PMD ml_mvtvm
+
+/* Maximum number of descriptors per queue-pair */
+#define ML_MVTVM_MAX_DESC_PER_QP 1024
+
+/* Maximum number of inputs / outputs per model */
+#define ML_MVTVM_MAX_INPUT_OUTPUT 32
+
+/* Maximum number of segments for IO data */
+#define ML_MVTVM_MAX_SEGMENTS 1
+
+/* Device private data */
+struct mvtvm_ml_dev {
+ /* Virtual device */
+ struct rte_vdev_device *vdev;
+
+ /* Maximum number of queue pairs */
+ uint16_t max_nb_qpairs;
+
+ /* Enable / disable model data caching */
+ int cache_model_data;
+};
+
+#endif /* _MVTVM_ML_DEV_H_ */
diff --git a/drivers/ml/cnxk/mvtvm_ml_ops.c b/drivers/ml/cnxk/mvtvm_ml_ops.c
index 2baac8f72f..f4cd51f872 100644
--- a/drivers/ml/cnxk/mvtvm_ml_ops.c
+++ b/drivers/ml/cnxk/mvtvm_ml_ops.c
@@ -9,8 +9,7 @@
#include <mldev_utils.h>
-#include "cn10k_ml_ops.h"
-
+#include "mvtvm_ml_dev.h"
#include "mvtvm_ml_model.h"
#include "mvtvm_ml_ops.h"
@@ -27,6 +26,22 @@ mvtvm_ml_set_poll_addr(struct cnxk_ml_req *req)
req->status = &req->mvtvm_req.status;
}
+int
+mvtvm_ml_dev_info_get(struct cnxk_ml_dev *cnxk_mldev, struct rte_ml_dev_info *dev_info)
+{
+ struct mvtvm_ml_dev *mvtvm_mldev;
+
+ mvtvm_mldev = &cnxk_mldev->mvtvm_mldev;
+
+ dev_info->max_queue_pairs = mvtvm_mldev->max_nb_qpairs;
+ dev_info->max_desc = ML_MVTVM_MAX_DESC_PER_QP;
+ dev_info->max_io = ML_MVTVM_MAX_INPUT_OUTPUT;
+ dev_info->max_segments = ML_MVTVM_MAX_SEGMENTS;
+ dev_info->align_size = RTE_CACHE_LINE_SIZE;
+
+ return 0;
+}
+
int
mvtvm_ml_dev_configure(struct cnxk_ml_dev *cnxk_mldev, const struct rte_ml_dev_config *conf)
{
@@ -57,6 +72,15 @@ mvtvm_ml_dev_close(struct cnxk_ml_dev *cnxk_mldev)
return ret;
}
+int
+mvtvm_ml_dev_dump(struct cnxk_ml_dev *cnxk_mldev, FILE *fp)
+{
+ RTE_SET_USED(cnxk_mldev);
+ RTE_SET_USED(fp);
+
+ return 0;
+}
+
int
mvtvm_ml_model_load(struct cnxk_ml_dev *cnxk_mldev, struct rte_ml_model_params *params,
struct cnxk_ml_model *model)
@@ -167,6 +191,12 @@ mvtvm_ml_model_load(struct cnxk_ml_dev *cnxk_mldev, struct rte_ml_model_params *
else
model->subtype = ML_CNXK_MODEL_SUBTYPE_TVM_HYBRID;
+ if (cnxk_mldev->type == CNXK_ML_DEV_TYPE_VDEV &&
+ model->subtype != ML_CNXK_MODEL_SUBTYPE_TVM_LLVM) {
+ plt_err("Unsupported model sub-type");
+ return -ENOTSUP;
+ }
+
/* Set callback function array */
if (model->subtype != ML_CNXK_MODEL_SUBTYPE_TVM_LLVM) {
callback = &model->mvtvm.cb;
diff --git a/drivers/ml/cnxk/mvtvm_ml_ops.h b/drivers/ml/cnxk/mvtvm_ml_ops.h
index 82292ceadd..1247f80c2d 100644
--- a/drivers/ml/cnxk/mvtvm_ml_ops.h
+++ b/drivers/ml/cnxk/mvtvm_ml_ops.h
@@ -52,8 +52,10 @@ struct mvtvm_ml_req {
struct mvtvm_ml_result result;
};
+int mvtvm_ml_dev_info_get(struct cnxk_ml_dev *mldev, struct rte_ml_dev_info *dev_info);
int mvtvm_ml_dev_configure(struct cnxk_ml_dev *cnxk_mldev, const struct rte_ml_dev_config *conf);
int mvtvm_ml_dev_close(struct cnxk_ml_dev *cnxk_mldev);
+int mvtvm_ml_dev_dump(struct cnxk_ml_dev *cnxk_mldev, FILE *fp);
int mvtvm_ml_model_load(struct cnxk_ml_dev *cnxk_mldev, struct rte_ml_model_params *params,
struct cnxk_ml_model *model);
int mvtvm_ml_model_unload(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_model *model);
--
2.41.0
next prev parent reply other threads:[~2023-09-20 7:29 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 ` Srikanth Yalavarthi [this message]
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 ` [PATCH v5 13/34] ml/cnxk: update device debug functions Srikanth Yalavarthi
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
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