diff mbox series

[v6,4/4] mldev: add Arm NEON type conversion routines

Message ID 20230207160008.30182-5-syalavarthi@marvell.com (mailing list archive)
State Accepted, archived
Delegated to: Thomas Monjalon
Headers
Series Implementation of ML common code |

Checks

Context Check Description
ci/checkpatch success coding style OK
ci/Intel-compilation warning apply issues

Commit Message

Srikanth Yalavarthi Feb. 7, 2023, 4 p.m. UTC 
  Added ARM NEON intrinsic based implementations to support conversion
of data types. Support is enabled to handle int8, uint8, int16, uint16,
float16, float32 and bfloat16 types.

Signed-off-by: Srikanth Yalavarthi <syalavarthi@marvell.com>
---
v5:
* Moved the code from drivers/common/ml to lib/mldev
* Added rte_ml_io_ prefix to the functions

v2:
* Dropped use of driver routines to call neon functions
* Optimization of neon functions. Reduce the number of intrinsic calls.

 lib/mldev/meson.build        |   4 +
 lib/mldev/mldev_utils_neon.c | 873 +++++++++++++++++++++++++++++++++++
 2 files changed, 877 insertions(+)
 create mode 100644 lib/mldev/mldev_utils_neon.c

--
2.17.1
diff mbox series

Patch

diff --git a/lib/mldev/meson.build b/lib/mldev/meson.build
index fce9c0ebee..05694b0839 100644
--- a/lib/mldev/meson.build
+++ b/lib/mldev/meson.build
@@ -8,6 +8,10 @@  sources = files(
         'mldev_utils_scalar.c',
 )

+if arch_subdir == 'arm'
+    sources += files('mldev_utils_neon.c')
+endif
+
 headers = files(
         'rte_mldev.h',
 )
diff --git a/lib/mldev/mldev_utils_neon.c b/lib/mldev/mldev_utils_neon.c
new file mode 100644
index 0000000000..32b620db20
--- /dev/null
+++ b/lib/mldev/mldev_utils_neon.c
@@ -0,0 +1,873 @@ 
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2022 Marvell.
+ */
+
+#include <errno.h>
+#include <stdint.h>
+#include <stdlib.h>
+
+#include "mldev_utils.h"
+
+#include <arm_neon.h>
+
+/* Description:
+ * This file implements vector versions of Machine Learning utility functions used to convert data
+ * types from higher precision to lower precision and vice-versa. Implementation is based on Arm
+ * Neon intrinsics.
+ */
+
+static inline void
+__float32_to_int8_neon_s8x8(float scale, float *input, int8_t *output)
+{
+	int16x4_t s16x4_l;
+	int16x4_t s16x4_h;
+	float32x4_t f32x4;
+	int16x8_t s16x8;
+	int32x4_t s32x4;
+	int8x8_t s8x8;
+
+	/* load 4 float32 elements, scale, convert, saturate narrow to int16.
+	 * Use round to nearest with ties away rounding mode.
+	 */
+	f32x4 = vld1q_f32(input);
+	f32x4 = vmulq_n_f32(f32x4, scale);
+	s32x4 = vcvtaq_s32_f32(f32x4);
+	s16x4_l = vqmovn_s32(s32x4);
+
+	/* load next 4 float32 elements, scale, convert, saturate narrow to int16.
+	 * Use round to nearest with ties away rounding mode.
+	 */
+	f32x4 = vld1q_f32(input + 4);
+	f32x4 = vmulq_n_f32(f32x4, scale);
+	s32x4 = vcvtaq_s32_f32(f32x4);
+	s16x4_h = vqmovn_s32(s32x4);
+
+	/* combine lower and higher int16x4_t to int16x8_t */
+	s16x8 = vcombine_s16(s16x4_l, s16x4_h);
+
+	/* narrow to int8_t */
+	s8x8 = vqmovn_s16(s16x8);
+
+	/* store 8 elements */
+	vst1_s8(output, s8x8);
+}
+
+static inline void
+__float32_to_int8_neon_s8x1(float scale, float *input, int8_t *output)
+{
+	int32_t s32;
+	int16_t s16;
+
+	/* scale and convert, round to nearest with ties away rounding mode */
+	s32 = vcvtas_s32_f32(scale * (*input));
+
+	/* saturate narrow */
+	s16 = vqmovns_s32(s32);
+
+	/* convert to int8_t */
+	*output = vqmovnh_s16(s16);
+}
+
+int
+rte_ml_io_float32_to_int8(float scale, uint64_t nb_elements, void *input, void *output)
+{
+	float *input_buffer;
+	int8_t *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((scale == 0) || (nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (float *)input;
+	output_buffer = (int8_t *)output;
+	vlen = 2 * sizeof(float) / sizeof(int8_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__float32_to_int8_neon_s8x8(scale, input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__float32_to_int8_neon_s8x1(scale, input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__int8_to_float32_neon_f32x8(float scale, int8_t *input, float *output)
+{
+	float32x4_t f32x4;
+	int16x8_t s16x8;
+	int16x4_t s16x4;
+	int32x4_t s32x4;
+	int8x8_t s8x8;
+
+	/* load 8 x int8_t elements */
+	s8x8 = vld1_s8(input);
+
+	/* widen int8_t to int16_t */
+	s16x8 = vmovl_s8(s8x8);
+
+	/* convert lower 4 elements: widen to int32_t, convert to float, scale and store */
+	s16x4 = vget_low_s16(s16x8);
+	s32x4 = vmovl_s16(s16x4);
+	f32x4 = vcvtq_f32_s32(s32x4);
+	f32x4 = vmulq_n_f32(f32x4, scale);
+	vst1q_f32(output, f32x4);
+
+	/* convert higher 4 elements: widen to int32_t, convert to float, scale and store */
+	s16x4 = vget_high_s16(s16x8);
+	s32x4 = vmovl_s16(s16x4);
+	f32x4 = vcvtq_f32_s32(s32x4);
+	f32x4 = vmulq_n_f32(f32x4, scale);
+	vst1q_f32(output + 4, f32x4);
+}
+
+static inline void
+__int8_to_float32_neon_f32x1(float scale, int8_t *input, float *output)
+{
+	*output = scale * vcvts_f32_s32((int32_t)*input);
+}
+
+int
+rte_ml_io_int8_to_float32(float scale, uint64_t nb_elements, void *input, void *output)
+{
+	int8_t *input_buffer;
+	float *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((scale == 0) || (nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (int8_t *)input;
+	output_buffer = (float *)output;
+	vlen = 2 * sizeof(float) / sizeof(int8_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__int8_to_float32_neon_f32x8(scale, input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__int8_to_float32_neon_f32x1(scale, input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__float32_to_uint8_neon_u8x8(float scale, float *input, uint8_t *output)
+{
+	uint16x4_t u16x4_l;
+	uint16x4_t u16x4_h;
+	float32x4_t f32x4;
+	uint32x4_t u32x4;
+	uint16x8_t u16x8;
+	uint8x8_t u8x8;
+
+	/* load 4 float elements, scale, convert, saturate narrow to uint16_t.
+	 * use round to nearest with ties away rounding mode.
+	 */
+	f32x4 = vld1q_f32(input);
+	f32x4 = vmulq_n_f32(f32x4, scale);
+	u32x4 = vcvtaq_u32_f32(f32x4);
+	u16x4_l = vqmovn_u32(u32x4);
+
+	/* load next 4 float elements, scale, convert, saturate narrow to uint16_t
+	 * use round to nearest with ties away rounding mode.
+	 */
+	f32x4 = vld1q_f32(input + 4);
+	f32x4 = vmulq_n_f32(f32x4, scale);
+	u32x4 = vcvtaq_u32_f32(f32x4);
+	u16x4_h = vqmovn_u32(u32x4);
+
+	/* combine lower and higher uint16x4_t */
+	u16x8 = vcombine_u16(u16x4_l, u16x4_h);
+
+	/* narrow to uint8x8_t */
+	u8x8 = vqmovn_u16(u16x8);
+
+	/* store 8 elements */
+	vst1_u8(output, u8x8);
+}
+
+static inline void
+__float32_to_uint8_neon_u8x1(float scale, float *input, uint8_t *output)
+{
+	uint32_t u32;
+	uint16_t u16;
+
+	/* scale and convert, round to nearest with ties away rounding mode */
+	u32 = vcvtas_u32_f32(scale * (*input));
+
+	/* saturate narrow */
+	u16 = vqmovns_u32(u32);
+
+	/* convert to uint8_t */
+	*output = vqmovnh_u16(u16);
+}
+
+int
+rte_ml_io_float32_to_uint8(float scale, uint64_t nb_elements, void *input, void *output)
+{
+	float *input_buffer;
+	uint8_t *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((scale == 0) || (nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (float *)input;
+	output_buffer = (uint8_t *)output;
+	vlen = 2 * sizeof(float) / sizeof(uint8_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__float32_to_uint8_neon_u8x8(scale, input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__float32_to_uint8_neon_u8x1(scale, input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__uint8_to_float32_neon_f32x8(float scale, uint8_t *input, float *output)
+{
+	float32x4_t f32x4;
+	uint16x8_t u16x8;
+	uint16x4_t u16x4;
+	uint32x4_t u32x4;
+	uint8x8_t u8x8;
+
+	/* load 8 x uint8_t elements */
+	u8x8 = vld1_u8(input);
+
+	/* widen uint8_t to uint16_t */
+	u16x8 = vmovl_u8(u8x8);
+
+	/* convert lower 4 elements: widen to uint32_t, convert to float, scale and store */
+	u16x4 = vget_low_u16(u16x8);
+	u32x4 = vmovl_u16(u16x4);
+	f32x4 = vcvtq_f32_u32(u32x4);
+	f32x4 = vmulq_n_f32(f32x4, scale);
+	vst1q_f32(output, f32x4);
+
+	/* convert higher 4 elements: widen to uint32_t, convert to float, scale and store */
+	u16x4 = vget_high_u16(u16x8);
+	u32x4 = vmovl_u16(u16x4);
+	f32x4 = vcvtq_f32_u32(u32x4);
+	f32x4 = vmulq_n_f32(f32x4, scale);
+	vst1q_f32(output + 4, f32x4);
+}
+
+static inline void
+__uint8_to_float32_neon_f32x1(float scale, uint8_t *input, float *output)
+{
+	*output = scale * vcvts_f32_u32((uint32_t)*input);
+}
+
+int
+rte_ml_io_uint8_to_float32(float scale, uint64_t nb_elements, void *input, void *output)
+{
+	uint8_t *input_buffer;
+	float *output_buffer;
+	uint64_t nb_iterations;
+	uint64_t vlen;
+	uint64_t i;
+
+	if ((scale == 0) || (nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (uint8_t *)input;
+	output_buffer = (float *)output;
+	vlen = 2 * sizeof(float) / sizeof(uint8_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__uint8_to_float32_neon_f32x8(scale, input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__uint8_to_float32_neon_f32x1(scale, input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__float32_to_int16_neon_s16x4(float scale, float *input, int16_t *output)
+{
+	float32x4_t f32x4;
+	int16x4_t s16x4;
+	int32x4_t s32x4;
+
+	/* load 4 x float elements */
+	f32x4 = vld1q_f32(input);
+
+	/* scale */
+	f32x4 = vmulq_n_f32(f32x4, scale);
+
+	/* convert to int32x4_t using round to nearest with ties away rounding mode */
+	s32x4 = vcvtaq_s32_f32(f32x4);
+
+	/* saturate narrow to int16x4_t */
+	s16x4 = vqmovn_s32(s32x4);
+
+	/* store 4 elements */
+	vst1_s16(output, s16x4);
+}
+
+static inline void
+__float32_to_int16_neon_s16x1(float scale, float *input, int16_t *output)
+{
+	int32_t s32;
+
+	/* scale and convert, round to nearest with ties away rounding mode */
+	s32 = vcvtas_s32_f32(scale * (*input));
+
+	/* saturate narrow */
+	*output = vqmovns_s32(s32);
+}
+
+int
+rte_ml_io_float32_to_int16(float scale, uint64_t nb_elements, void *input, void *output)
+{
+	float *input_buffer;
+	int16_t *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((scale == 0) || (nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (float *)input;
+	output_buffer = (int16_t *)output;
+	vlen = 2 * sizeof(float) / sizeof(int16_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__float32_to_int16_neon_s16x4(scale, input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__float32_to_int16_neon_s16x1(scale, input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__int16_to_float32_neon_f32x4(float scale, int16_t *input, float *output)
+{
+	float32x4_t f32x4;
+	int16x4_t s16x4;
+	int32x4_t s32x4;
+
+	/* load 4 x int16_t elements */
+	s16x4 = vld1_s16(input);
+
+	/* widen int16_t to int32_t */
+	s32x4 = vmovl_s16(s16x4);
+
+	/* convert int32_t to float */
+	f32x4 = vcvtq_f32_s32(s32x4);
+
+	/* scale */
+	f32x4 = vmulq_n_f32(f32x4, scale);
+
+	/* store float32x4_t */
+	vst1q_f32(output, f32x4);
+}
+
+static inline void
+__int16_to_float32_neon_f32x1(float scale, int16_t *input, float *output)
+{
+	*output = scale * vcvts_f32_s32((int32_t)*input);
+}
+
+int
+rte_ml_io_int16_to_float32(float scale, uint64_t nb_elements, void *input, void *output)
+{
+	int16_t *input_buffer;
+	float *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((scale == 0) || (nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (int16_t *)input;
+	output_buffer = (float *)output;
+	vlen = 2 * sizeof(float) / sizeof(int16_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__int16_to_float32_neon_f32x4(scale, input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__int16_to_float32_neon_f32x1(scale, input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__float32_to_uint16_neon_u16x4(float scale, float *input, uint16_t *output)
+{
+	float32x4_t f32x4;
+	uint16x4_t u16x4;
+	uint32x4_t u32x4;
+
+	/* load 4 float elements */
+	f32x4 = vld1q_f32(input);
+
+	/* scale */
+	f32x4 = vmulq_n_f32(f32x4, scale);
+
+	/* convert using round to nearest with ties to away rounding mode */
+	u32x4 = vcvtaq_u32_f32(f32x4);
+
+	/* saturate narrow */
+	u16x4 = vqmovn_u32(u32x4);
+
+	/* store 4 elements */
+	vst1_u16(output, u16x4);
+}
+
+static inline void
+__float32_to_uint16_neon_u16x1(float scale, float *input, uint16_t *output)
+{
+	uint32_t u32;
+
+	/* scale and convert, round to nearest with ties away rounding mode */
+	u32 = vcvtas_u32_f32(scale * (*input));
+
+	/* saturate narrow */
+	*output = vqmovns_u32(u32);
+}
+
+int
+rte_ml_io_float32_to_uint16(float scale, uint64_t nb_elements, void *input, void *output)
+{
+	float *input_buffer;
+	uint16_t *output_buffer;
+	uint64_t nb_iterations;
+	uint64_t vlen;
+	uint64_t i;
+
+	if ((scale == 0) || (nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (float *)input;
+	output_buffer = (uint16_t *)output;
+	vlen = 2 * sizeof(float) / sizeof(uint16_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__float32_to_uint16_neon_u16x4(scale, input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__float32_to_uint16_neon_u16x1(scale, input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__uint16_to_float32_neon_f32x4(float scale, uint16_t *input, float *output)
+{
+	float32x4_t f32x4;
+	uint16x4_t u16x4;
+	uint32x4_t u32x4;
+
+	/* load 4 x uint16_t elements */
+	u16x4 = vld1_u16(input);
+
+	/* widen uint16_t to uint32_t */
+	u32x4 = vmovl_u16(u16x4);
+
+	/* convert uint32_t to float */
+	f32x4 = vcvtq_f32_u32(u32x4);
+
+	/* scale */
+	f32x4 = vmulq_n_f32(f32x4, scale);
+
+	/* store float32x4_t */
+	vst1q_f32(output, f32x4);
+}
+
+static inline void
+__uint16_to_float32_neon_f32x1(float scale, uint16_t *input, float *output)
+{
+	*output = scale * vcvts_f32_u32((uint32_t)*input);
+}
+
+int
+rte_ml_io_uint16_to_float32(float scale, uint64_t nb_elements, void *input, void *output)
+{
+	uint16_t *input_buffer;
+	float *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((scale == 0) || (nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (uint16_t *)input;
+	output_buffer = (float *)output;
+	vlen = 2 * sizeof(float) / sizeof(uint16_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__uint16_to_float32_neon_f32x4(scale, input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__uint16_to_float32_neon_f32x1(scale, input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__float32_to_float16_neon_f16x4(float32_t *input, float16_t *output)
+{
+	float32x4_t f32x4;
+	float16x4_t f16x4;
+
+	/* load 4 x float32_t elements */
+	f32x4 = vld1q_f32(input);
+
+	/* convert to float16x4_t */
+	f16x4 = vcvt_f16_f32(f32x4);
+
+	/* store float16x4_t */
+	vst1_f16(output, f16x4);
+}
+
+static inline void
+__float32_to_float16_neon_f16x1(float32_t *input, float16_t *output)
+{
+	float32x4_t f32x4;
+	float16x4_t f16x4;
+
+	/* load element to 4 lanes */
+	f32x4 = vld1q_dup_f32(input);
+
+	/* convert float32_t to float16_t */
+	f16x4 = vcvt_f16_f32(f32x4);
+
+	/* store lane 0 / 1 element */
+	vst1_lane_f16(output, f16x4, 0);
+}
+
+int
+rte_ml_io_float32_to_float16(uint64_t nb_elements, void *input, void *output)
+{
+	float32_t *input_buffer;
+	float16_t *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (float32_t *)input;
+	output_buffer = (float16_t *)output;
+	vlen = 2 * sizeof(float32_t) / sizeof(float16_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__float32_to_float16_neon_f16x4(input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__float32_to_float16_neon_f16x1(input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__float16_to_float32_neon_f32x4(float16_t *input, float32_t *output)
+{
+	float16x4_t f16x4;
+	float32x4_t f32x4;
+
+	/* load 4 x float16_t elements */
+	f16x4 = vld1_f16(input);
+
+	/* convert float16x4_t to float32x4_t */
+	f32x4 = vcvt_f32_f16(f16x4);
+
+	/* store float32x4_t */
+	vst1q_f32(output, f32x4);
+}
+
+static inline void
+__float16_to_float32_neon_f32x1(float16_t *input, float32_t *output)
+{
+	float16x4_t f16x4;
+	float32x4_t f32x4;
+
+	/* load element to 4 lanes */
+	f16x4 = vld1_dup_f16(input);
+
+	/* convert float16_t to float32_t */
+	f32x4 = vcvt_f32_f16(f16x4);
+
+	/* store 1 element */
+	vst1q_lane_f32(output, f32x4, 0);
+}
+
+int
+rte_ml_io_float16_to_float32(uint64_t nb_elements, void *input, void *output)
+{
+	float16_t *input_buffer;
+	float32_t *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (float16_t *)input;
+	output_buffer = (float32_t *)output;
+	vlen = 2 * sizeof(float32_t) / sizeof(float16_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__float16_to_float32_neon_f32x4(input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__float16_to_float32_neon_f32x1(input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+#ifdef __ARM_FEATURE_BF16
+
+static inline void
+__float32_to_bfloat16_neon_f16x4(float32_t *input, bfloat16_t *output)
+{
+	float32x4_t f32x4;
+	bfloat16x4_t bf16x4;
+
+	/* load 4 x float32_t elements */
+	f32x4 = vld1q_f32(input);
+
+	/* convert float32x4_t to bfloat16x4_t */
+	bf16x4 = vcvt_bf16_f32(f32x4);
+
+	/* store bfloat16x4_t */
+	vst1_bf16(output, bf16x4);
+}
+
+static inline void
+__float32_to_bfloat16_neon_f16x1(float32_t *input, bfloat16_t *output)
+{
+	float32x4_t f32x4;
+	bfloat16x4_t bf16x4;
+
+	/* load element to 4 lanes */
+	f32x4 = vld1q_dup_f32(input);
+
+	/* convert float32_t to bfloat16_t */
+	bf16x4 = vcvt_bf16_f32(f32x4);
+
+	/* store lane 0 / 1 element */
+	vst1_lane_bf16(output, bf16x4, 0);
+}
+
+int
+rte_ml_io_float32_to_bfloat16(uint64_t nb_elements, void *input, void *output)
+{
+	float32_t *input_buffer;
+	bfloat16_t *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (float32_t *)input;
+	output_buffer = (bfloat16_t *)output;
+	vlen = 2 * sizeof(float32_t) / sizeof(bfloat16_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__float32_to_bfloat16_neon_f16x4(input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__float32_to_bfloat16_neon_f16x1(input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+static inline void
+__bfloat16_to_float32_neon_f32x4(bfloat16_t *input, float32_t *output)
+{
+	bfloat16x4_t bf16x4;
+	float32x4_t f32x4;
+
+	/* load 4 x bfloat16_t elements */
+	bf16x4 = vld1_bf16(input);
+
+	/* convert bfloat16x4_t to float32x4_t */
+	f32x4 = vcvt_f32_bf16(bf16x4);
+
+	/* store float32x4_t */
+	vst1q_f32(output, f32x4);
+}
+
+static inline void
+__bfloat16_to_float32_neon_f32x1(bfloat16_t *input, float32_t *output)
+{
+	bfloat16x4_t bf16x4;
+	float32x4_t f32x4;
+
+	/* load element to 4 lanes */
+	bf16x4 = vld1_dup_bf16(input);
+
+	/* convert bfloat16_t to float32_t */
+	f32x4 = vcvt_f32_bf16(bf16x4);
+
+	/* store lane 0 / 1 element */
+	vst1q_lane_f32(output, f32x4, 0);
+}
+
+int
+rte_ml_io_bfloat16_to_float32(uint64_t nb_elements, void *input, void *output)
+{
+	bfloat16_t *input_buffer;
+	float32_t *output_buffer;
+	uint64_t nb_iterations;
+	uint32_t vlen;
+	uint64_t i;
+
+	if ((nb_elements == 0) || (input == NULL) || (output == NULL))
+		return -EINVAL;
+
+	input_buffer = (bfloat16_t *)input;
+	output_buffer = (float32_t *)output;
+	vlen = 2 * sizeof(float32_t) / sizeof(bfloat16_t);
+	nb_iterations = nb_elements / vlen;
+
+	/* convert vlen elements in each iteration */
+	for (i = 0; i < nb_iterations; i++) {
+		__bfloat16_to_float32_neon_f32x4(input_buffer, output_buffer);
+		input_buffer += vlen;
+		output_buffer += vlen;
+	}
+
+	/* convert leftover elements */
+	i = i * vlen;
+	for (; i < nb_elements; i++) {
+		__bfloat16_to_float32_neon_f32x1(input_buffer, output_buffer);
+		input_buffer++;
+		output_buffer++;
+	}
+
+	return 0;
+}
+
+#endif /* __ARM_FEATURE_BF16 */