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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 13/34] ml/cnxk: update data quantization functions
Date: Wed, 20 Sep 2023 00:25:04 -0700	[thread overview]
Message-ID: <20230920072528.14185-14-syalavarthi@marvell.com> (raw)
In-Reply-To: <20230920072528.14185-1-syalavarthi@marvell.com>

Added cnxk wrapper functions to quantize input data and
dequantize output data.

Signed-off-by: Srikanth Yalavarthi <syalavarthi@marvell.com>
---
 drivers/ml/cnxk/cn10k_ml_ops.c | 164 ---------------------------------
 drivers/ml/cnxk/cn10k_ml_ops.h |   7 --
 drivers/ml/cnxk/cnxk_ml_io.c   |  95 +++++++++++++++++++
 drivers/ml/cnxk/cnxk_ml_io.h   |   3 +
 drivers/ml/cnxk/cnxk_ml_ops.c  |  78 +++++++++++++++-
 drivers/ml/cnxk/meson.build    |   1 +
 6 files changed, 175 insertions(+), 173 deletions(-)
 create mode 100644 drivers/ml/cnxk/cnxk_ml_io.c

diff --git a/drivers/ml/cnxk/cn10k_ml_ops.c b/drivers/ml/cnxk/cn10k_ml_ops.c
index 0eebefee5f..1e6aee818c 100644
--- a/drivers/ml/cnxk/cn10k_ml_ops.c
+++ b/drivers/ml/cnxk/cn10k_ml_ops.c
@@ -1860,170 +1860,6 @@ cn10k_ml_model_params_update(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_mode
 	return 0;
 }
 
-int
-cn10k_ml_io_quantize(struct rte_ml_dev *dev, uint16_t model_id, struct rte_ml_buff_seg **dbuffer,
-		     struct rte_ml_buff_seg **qbuffer)
-{
-	struct cnxk_ml_model *model;
-	uint8_t model_input_type;
-	uint8_t *lcl_dbuffer;
-	uint8_t *lcl_qbuffer;
-	uint8_t input_type;
-	float qscale;
-	uint32_t i;
-	uint32_t j;
-	int ret;
-
-	model = dev->data->models[model_id];
-
-	if (model == NULL) {
-		plt_err("Invalid model_id = %u", model_id);
-		return -EINVAL;
-	}
-
-	lcl_dbuffer = dbuffer[0]->addr;
-	lcl_qbuffer = qbuffer[0]->addr;
-
-	for (i = 0; i < model->layer[0].glow.metadata.model.num_input; i++) {
-		if (i < MRVL_ML_NUM_INPUT_OUTPUT_1) {
-			input_type = model->layer[0].glow.metadata.input1[i].input_type;
-			model_input_type = model->layer[0].glow.metadata.input1[i].model_input_type;
-			qscale = model->layer[0].glow.metadata.input1[i].qscale;
-		} else {
-			j = i - MRVL_ML_NUM_INPUT_OUTPUT_1;
-			input_type = model->layer[0].glow.metadata.input2[j].input_type;
-			model_input_type = model->layer[0].glow.metadata.input2[j].model_input_type;
-			qscale = model->layer[0].glow.metadata.input2[j].qscale;
-		}
-
-		if (input_type == model_input_type) {
-			rte_memcpy(lcl_qbuffer, lcl_dbuffer, model->layer[0].info.input[i].sz_d);
-		} else {
-			switch (model->layer[0].glow.metadata.input1[i].model_input_type) {
-			case RTE_ML_IO_TYPE_INT8:
-				ret = rte_ml_io_float32_to_int8(
-					qscale, model->layer[0].info.input[i].nb_elements,
-					lcl_dbuffer, lcl_qbuffer);
-				break;
-			case RTE_ML_IO_TYPE_UINT8:
-				ret = rte_ml_io_float32_to_uint8(
-					qscale, model->layer[0].info.input[i].nb_elements,
-					lcl_dbuffer, lcl_qbuffer);
-				break;
-			case RTE_ML_IO_TYPE_INT16:
-				ret = rte_ml_io_float32_to_int16(
-					qscale, model->layer[0].info.input[i].nb_elements,
-					lcl_dbuffer, lcl_qbuffer);
-				break;
-			case RTE_ML_IO_TYPE_UINT16:
-				ret = rte_ml_io_float32_to_uint16(
-					qscale, model->layer[0].info.input[i].nb_elements,
-					lcl_dbuffer, lcl_qbuffer);
-				break;
-			case RTE_ML_IO_TYPE_FP16:
-				ret = rte_ml_io_float32_to_float16(
-					model->layer[0].info.input[i].nb_elements, lcl_dbuffer,
-					lcl_qbuffer);
-				break;
-			default:
-				plt_err("Unsupported model_input_type[%u] : %u", i,
-					model->layer[0].glow.metadata.input1[i].model_input_type);
-				ret = -ENOTSUP;
-			}
-			if (ret < 0)
-				return ret;
-		}
-
-		lcl_dbuffer += model->layer[0].info.input[i].sz_d;
-		lcl_qbuffer += model->layer[0].info.input[i].sz_q;
-	}
-
-	return 0;
-}
-
-int
-cn10k_ml_io_dequantize(struct rte_ml_dev *dev, uint16_t model_id, struct rte_ml_buff_seg **qbuffer,
-		       struct rte_ml_buff_seg **dbuffer)
-{
-	struct cnxk_ml_model *model;
-	uint8_t model_output_type;
-	uint8_t *lcl_qbuffer;
-	uint8_t *lcl_dbuffer;
-	uint8_t output_type;
-	float dscale;
-	uint32_t i;
-	uint32_t j;
-	int ret;
-
-	model = dev->data->models[model_id];
-
-	if (model == NULL) {
-		plt_err("Invalid model_id = %u", model_id);
-		return -EINVAL;
-	}
-
-	lcl_dbuffer = dbuffer[0]->addr;
-	lcl_qbuffer = qbuffer[0]->addr;
-
-	for (i = 0; i < model->layer[0].glow.metadata.model.num_output; i++) {
-		if (i < MRVL_ML_NUM_INPUT_OUTPUT_1) {
-			output_type = model->layer[0].glow.metadata.output1[i].output_type;
-			model_output_type =
-				model->layer[0].glow.metadata.output1[i].model_output_type;
-			dscale = model->layer[0].glow.metadata.output1[i].dscale;
-		} else {
-			j = i - MRVL_ML_NUM_INPUT_OUTPUT_1;
-			output_type = model->layer[0].glow.metadata.output2[j].output_type;
-			model_output_type =
-				model->layer[0].glow.metadata.output2[j].model_output_type;
-			dscale = model->layer[0].glow.metadata.output2[j].dscale;
-		}
-
-		if (output_type == model_output_type) {
-			rte_memcpy(lcl_dbuffer, lcl_qbuffer, model->layer[0].info.output[i].sz_q);
-		} else {
-			switch (model->layer[0].glow.metadata.output1[i].model_output_type) {
-			case RTE_ML_IO_TYPE_INT8:
-				ret = rte_ml_io_int8_to_float32(
-					dscale, model->layer[0].info.output[i].nb_elements,
-					lcl_qbuffer, lcl_dbuffer);
-				break;
-			case RTE_ML_IO_TYPE_UINT8:
-				ret = rte_ml_io_uint8_to_float32(
-					dscale, model->layer[0].info.output[i].nb_elements,
-					lcl_qbuffer, lcl_dbuffer);
-				break;
-			case RTE_ML_IO_TYPE_INT16:
-				ret = rte_ml_io_int16_to_float32(
-					dscale, model->layer[0].info.output[i].nb_elements,
-					lcl_qbuffer, lcl_dbuffer);
-				break;
-			case RTE_ML_IO_TYPE_UINT16:
-				ret = rte_ml_io_uint16_to_float32(
-					dscale, model->layer[0].info.output[i].nb_elements,
-					lcl_qbuffer, lcl_dbuffer);
-				break;
-			case RTE_ML_IO_TYPE_FP16:
-				ret = rte_ml_io_float16_to_float32(
-					model->layer[0].info.output[i].nb_elements, lcl_qbuffer,
-					lcl_dbuffer);
-				break;
-			default:
-				plt_err("Unsupported model_output_type[%u] : %u", i,
-					model->layer[0].glow.metadata.output1[i].model_output_type);
-				ret = -ENOTSUP;
-			}
-			if (ret < 0)
-				return ret;
-		}
-
-		lcl_qbuffer += model->layer[0].info.output[i].sz_q;
-		lcl_dbuffer += model->layer[0].info.output[i].sz_d;
-	}
-
-	return 0;
-}
-
 static __rte_always_inline void
 queue_index_advance(uint64_t *index, uint64_t nb_desc)
 {
diff --git a/drivers/ml/cnxk/cn10k_ml_ops.h b/drivers/ml/cnxk/cn10k_ml_ops.h
index ef12069f0d..780e2a9f9c 100644
--- a/drivers/ml/cnxk/cn10k_ml_ops.h
+++ b/drivers/ml/cnxk/cn10k_ml_ops.h
@@ -320,13 +320,6 @@ int cn10k_ml_model_stop(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_model *mo
 int cn10k_ml_model_params_update(struct cnxk_ml_dev *cnxk_mldev, struct cnxk_ml_model *model,
 				 void *buffer);
 
-/* I/O ops */
-int cn10k_ml_io_quantize(struct rte_ml_dev *dev, uint16_t model_id,
-			 struct rte_ml_buff_seg **dbuffer, struct rte_ml_buff_seg **qbuffer);
-
-int cn10k_ml_io_dequantize(struct rte_ml_dev *dev, uint16_t model_id,
-			   struct rte_ml_buff_seg **qbuffer, struct rte_ml_buff_seg **dbuffer);
-
 /* Fast-path ops */
 __rte_hot uint16_t cn10k_ml_enqueue_burst(struct rte_ml_dev *dev, uint16_t qp_id,
 					  struct rte_ml_op **ops, uint16_t nb_ops);
diff --git a/drivers/ml/cnxk/cnxk_ml_io.c b/drivers/ml/cnxk/cnxk_ml_io.c
new file mode 100644
index 0000000000..c78009ab0c
--- /dev/null
+++ b/drivers/ml/cnxk/cnxk_ml_io.c
@@ -0,0 +1,95 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2023 Marvell.
+ */
+
+#include <rte_mldev.h>
+
+#include <mldev_utils.h>
+
+#include <roc_api.h>
+
+#include "cnxk_ml_io.h"
+
+inline int
+cnxk_ml_io_quantize_single(struct cnxk_ml_io *input, uint8_t *dbuffer, uint8_t *qbuffer)
+{
+	enum rte_ml_io_type qtype;
+	enum rte_ml_io_type dtype;
+	uint32_t nb_elements;
+	float qscale;
+	int ret = 0;
+
+	dtype = input->dtype;
+	qtype = input->qtype;
+	qscale = input->scale;
+	nb_elements = input->nb_elements;
+
+	if (dtype == qtype) {
+		rte_memcpy(qbuffer, dbuffer, input->sz_d);
+	} else {
+		switch (qtype) {
+		case RTE_ML_IO_TYPE_INT8:
+			ret = rte_ml_io_float32_to_int8(qscale, nb_elements, dbuffer, qbuffer);
+			break;
+		case RTE_ML_IO_TYPE_UINT8:
+			ret = rte_ml_io_float32_to_uint8(qscale, nb_elements, dbuffer, qbuffer);
+			break;
+		case RTE_ML_IO_TYPE_INT16:
+			ret = rte_ml_io_float32_to_int16(qscale, nb_elements, dbuffer, qbuffer);
+			break;
+		case RTE_ML_IO_TYPE_UINT16:
+			ret = rte_ml_io_float32_to_uint16(qscale, nb_elements, dbuffer, qbuffer);
+			break;
+		case RTE_ML_IO_TYPE_FP16:
+			ret = rte_ml_io_float32_to_float16(nb_elements, dbuffer, qbuffer);
+			break;
+		default:
+			plt_err("Unsupported qtype : %u", qtype);
+			ret = -ENOTSUP;
+		}
+	}
+
+	return ret;
+}
+
+inline int
+cnxk_ml_io_dequantize_single(struct cnxk_ml_io *output, uint8_t *qbuffer, uint8_t *dbuffer)
+{
+	enum rte_ml_io_type qtype;
+	enum rte_ml_io_type dtype;
+	uint32_t nb_elements;
+	float dscale;
+	int ret = 0;
+
+	dtype = output->dtype;
+	qtype = output->qtype;
+	dscale = output->scale;
+	nb_elements = output->nb_elements;
+
+	if (dtype == qtype) {
+		rte_memcpy(dbuffer, qbuffer, output->sz_q);
+	} else {
+		switch (qtype) {
+		case RTE_ML_IO_TYPE_INT8:
+			ret = rte_ml_io_int8_to_float32(dscale, nb_elements, qbuffer, dbuffer);
+			break;
+		case RTE_ML_IO_TYPE_UINT8:
+			ret = rte_ml_io_uint8_to_float32(dscale, nb_elements, qbuffer, dbuffer);
+			break;
+		case RTE_ML_IO_TYPE_INT16:
+			ret = rte_ml_io_int16_to_float32(dscale, nb_elements, qbuffer, dbuffer);
+			break;
+		case RTE_ML_IO_TYPE_UINT16:
+			ret = rte_ml_io_uint16_to_float32(dscale, nb_elements, qbuffer, dbuffer);
+			break;
+		case RTE_ML_IO_TYPE_FP16:
+			ret = rte_ml_io_float16_to_float32(nb_elements, qbuffer, dbuffer);
+			break;
+		default:
+			plt_err("Unsupported qtype: %u", qtype);
+			ret = -ENOTSUP;
+		}
+	}
+
+	return ret;
+}
diff --git a/drivers/ml/cnxk/cnxk_ml_io.h b/drivers/ml/cnxk/cnxk_ml_io.h
index 29ec7ec511..5de166c252 100644
--- a/drivers/ml/cnxk/cnxk_ml_io.h
+++ b/drivers/ml/cnxk/cnxk_ml_io.h
@@ -76,4 +76,7 @@ struct cnxk_ml_io_info {
 	uint32_t total_output_sz_d;
 };
 
+int cnxk_ml_io_quantize_single(struct cnxk_ml_io *input, uint8_t *dbuffer, uint8_t *qbuffer);
+int cnxk_ml_io_dequantize_single(struct cnxk_ml_io *output, uint8_t *qbuffer, uint8_t *dbuffer);
+
 #endif /* _CNXK_ML_IO_H_ */
diff --git a/drivers/ml/cnxk/cnxk_ml_ops.c b/drivers/ml/cnxk/cnxk_ml_ops.c
index 5ad0ea8c3c..ed71a55132 100644
--- a/drivers/ml/cnxk/cnxk_ml_ops.c
+++ b/drivers/ml/cnxk/cnxk_ml_ops.c
@@ -5,6 +5,8 @@
 #include <rte_mldev.h>
 #include <rte_mldev_pmd.h>
 
+#include <mldev_utils.h>
+
 #include "cn10k_ml_ops.h"
 
 #include "cnxk_ml_dev.h"
@@ -650,6 +652,78 @@ cnxk_ml_model_params_update(struct rte_ml_dev *dev, uint16_t model_id, void *buf
 	return cn10k_ml_model_params_update(cnxk_mldev, model, buffer);
 }
 
+static int
+cnxk_ml_io_quantize(struct rte_ml_dev *dev, uint16_t model_id, struct rte_ml_buff_seg **dbuffer,
+		    struct rte_ml_buff_seg **qbuffer)
+{
+	struct cnxk_ml_io_info *info = NULL;
+	struct cnxk_ml_model *model;
+	uint8_t *lcl_dbuffer;
+	uint8_t *lcl_qbuffer;
+	uint32_t i;
+	int ret;
+
+	if ((dev == NULL) || (dbuffer == NULL) || (qbuffer == NULL))
+		return -EINVAL;
+
+	model = dev->data->models[model_id];
+	if (model == NULL) {
+		plt_err("Invalid model_id = %u", model_id);
+		return -EINVAL;
+	}
+
+	info = &model->layer[0].info;
+
+	lcl_dbuffer = dbuffer[0]->addr;
+	lcl_qbuffer = qbuffer[0]->addr;
+	for (i = 0; i < info->nb_inputs; i++) {
+		ret = cnxk_ml_io_quantize_single(&info->input[i], lcl_dbuffer, lcl_qbuffer);
+		if (ret < 0)
+			return ret;
+
+		lcl_dbuffer += info->input[i].sz_d;
+		lcl_qbuffer += info->input[i].sz_q;
+	}
+
+	return 0;
+}
+
+static int
+cnxk_ml_io_dequantize(struct rte_ml_dev *dev, uint16_t model_id, struct rte_ml_buff_seg **qbuffer,
+		      struct rte_ml_buff_seg **dbuffer)
+{
+	struct cnxk_ml_io_info *info = NULL;
+	struct cnxk_ml_model *model;
+	uint8_t *lcl_qbuffer;
+	uint8_t *lcl_dbuffer;
+	uint32_t i;
+	int ret;
+
+	if ((dev == NULL) || (qbuffer == NULL) || (dbuffer == NULL))
+		return -EINVAL;
+
+	model = dev->data->models[model_id];
+	if (model == NULL) {
+		plt_err("Invalid model_id = %u", model_id);
+		return -EINVAL;
+	}
+
+	info = &model->layer[model->nb_layers - 1].info;
+
+	lcl_qbuffer = qbuffer[0]->addr;
+	lcl_dbuffer = dbuffer[0]->addr;
+	for (i = 0; i < info->nb_outputs; i++) {
+		ret = cnxk_ml_io_dequantize_single(&info->output[i], lcl_qbuffer, lcl_dbuffer);
+		if (ret < 0)
+			return ret;
+
+		lcl_qbuffer += info->output[i].sz_q;
+		lcl_dbuffer += info->output[i].sz_d;
+	}
+
+	return 0;
+}
+
 struct rte_ml_dev_ops cnxk_ml_ops = {
 	/* Device control ops */
 	.dev_info_get = cnxk_ml_dev_info_get,
@@ -681,6 +755,6 @@ struct rte_ml_dev_ops cnxk_ml_ops = {
 	.model_params_update = cnxk_ml_model_params_update,
 
 	/* I/O ops */
-	.io_quantize = cn10k_ml_io_quantize,
-	.io_dequantize = cn10k_ml_io_dequantize,
+	.io_quantize = cnxk_ml_io_quantize,
+	.io_dequantize = cnxk_ml_io_dequantize,
 };
diff --git a/drivers/ml/cnxk/meson.build b/drivers/ml/cnxk/meson.build
index 6385ac4548..9cc4ddec70 100644
--- a/drivers/ml/cnxk/meson.build
+++ b/drivers/ml/cnxk/meson.build
@@ -25,6 +25,7 @@ sources = files(
         'cn10k_ml_model.c',
         'cn10k_ml_ocm.c',
         'cnxk_ml_dev.c',
+        'cnxk_ml_io.c',
         'cnxk_ml_model.c',
         'cnxk_ml_ops.c',
 )
-- 
2.41.0


  parent reply	other threads:[~2023-09-20  7:27 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   ` Srikanth Yalavarthi [this message]
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   ` [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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