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etnaviv/ml: Fix padding for convolutions in V8

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Two bits that aren't used in V7 seem to be used for this in V8.

Reviewed-by: Philipp Zabel <p.zabel@pengutronix.de>
Part-of: <https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/31842>
This commit is contained in:
Tomeu Vizoso 2024-10-23 09:00:43 +02:00 • committed by Marge Bot
parent b4ba62fcda
commit 0ef5aa5fb6
1 changed files with 39 additions and 18 deletions
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57
src/gallium/drivers/etnaviv/etnaviv_ml_nn.c
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@ -130,7 +130,10 @@ struct etna_nn_params {
/* 18 */
FIELD(out_image_circular_buf_size, 26) /* >> 6 */
FIELD(per_channel_post_mul, 1)
FIELD(unused7, 5)
FIELD(unused7_0, 1)
FIELD(unused7_1, 1)
FIELD(unused7_2, 1)
FIELD(unused7_3, 2)
/* 19 */
FIELD(out_image_circular_buf_end_addr_plus_1, 26) /* >> 6 */
@ -683,7 +686,10 @@ create_nn_config(struct etna_ml_subgraph *subgraph, const struct etna_operation
map->unused4 = 0x0;
map->unused5 = 0x0;
map->unused6 = 0x0;
map->unused7 = 0x0;
map->unused7_0 = 0x0;
map->unused7_1 = 0x0;
map->unused7_2 = 0x0;
map->unused7_3 = 0x0;
map->unused8 = 0x0;
map->unused9 = 0x0;
map->unused10 = 0x0;
@ -714,16 +720,38 @@ create_nn_config(struct etna_ml_subgraph *subgraph, const struct etna_operation
map->in_image_border_mode = 0x0;
map->in_image_border_const = operation->input_zero_point;
if (operation->padding_same && operation->stride == 1 && weight_width > 2) {
if (weight_width < 5) {
map->in_image_x_offset = 0x7;
map->in_image_y_offset = 0x7;
} else {
map->in_image_x_offset = 0x6;
map->in_image_y_offset = 0x6;
if (operation->padding_same) {
if (operation->stride == 1 && weight_width > 2) {
if (weight_width < 5) {
map->in_image_x_offset = 0x7;
map->in_image_y_offset = 0x7;
} else {
map->in_image_x_offset = 0x6;
map->in_image_y_offset = 0x6;
}
map->in_image_x_offset_bit_3 = 0x1;
map->in_image_y_offset_bit_3 = 0x1;
map->unused7_2 = nn_core_version == 8;
map->unused7_3 = nn_core_version == 8;
} else if (operation->stride == 2 && weight_width > 2 && (input_width < 5 || (operation->depthwise && (weight_width == 5 || input_width == 5)))) {
if ((input_width <= 5 && weight_width < 5) ||
(input_width > 5 && weight_width >= 5)) {
map->in_image_x_offset = 0x7;
map->in_image_y_offset = 0x7;
} else {
map->in_image_x_offset = 0x6;
map->in_image_y_offset = 0x6;
}
map->in_image_x_offset_bit_3 = 0x1;
map->in_image_y_offset_bit_3 = 0x1;
map->unused7_2 = nn_core_version == 8;
map->unused7_3 = nn_core_version == 8;
}
map->in_image_x_offset_bit_3 = 0x1;
map->in_image_y_offset_bit_3 = 0x1;
} else {
map->in_image_x_offset = 0x0;
map->in_image_y_offset = 0x0;
@ -731,13 +759,6 @@ create_nn_config(struct etna_ml_subgraph *subgraph, const struct etna_operation
map->in_image_y_offset_bit_3 = 0x0;
}
if (operation->padding_same && operation->stride == 2 && weight_width == 5) {
map->in_image_x_offset = 0x7;
map->in_image_y_offset = 0x7;
map->in_image_x_offset_bit_3 = 0x1;
map->in_image_y_offset_bit_3 = 0x1;
}
struct pipe_resource *output = etna_ml_get_tensor(subgraph, operation->output_tensor);
offset = etna_ml_get_offset(subgraph, operation->output_tensor);
map->out_image_address = etna_bo_gpu_va(etna_resource(output)->bo) + offset;