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ethosu: Store ethosu_tensor struct ptr in feature map

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Some of the tensor info is needed at various points during lowering.
Instead of storing the tensor index and looking it up every time, store
a point to the tensor struct instead.

Signed-off-by: Rob Herring (Arm) <robh@kernel.org>
Part-of: <https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/39975>
This commit is contained in:
Rob Herring (Arm) 2026-04-22 15:26:57 -05:00 • committed by Marge Bot
parent 915cd57c08
commit ed2c19a411
3 changed files with 42 additions and 52 deletions
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16
src/gallium/drivers/ethosu/ethosu_cmd.c
View file

@ -139,7 +139,7 @@ emit_strides(
{
unsigned elem_size = 1;
unsigned tensor_x, tensor_y, tensor_c;
struct ethosu_tensor *tensor = ethosu_find_tensor(subgraph, feature_map->tensor_idx);
struct ethosu_tensor *tensor = feature_map->tensor;
if (tensor->layout == ETHOSU_LAYOUT_NHCWB16) {
tensor_x = 16 * elem_size;
@ -181,10 +181,9 @@ emit_ifm_precision(struct ethosu_subgraph *subgraph,
struct ethosu_feature_map *feature_map,
enum ethosu_op_to_scale op_to_scale, uint32_t precision_cmd)
{
struct ethosu_tensor *tensor = ethosu_find_tensor(subgraph, feature_map->tensor_idx);
unsigned prec = 0;
if (tensor->layout == ETHOSU_LAYOUT_NHCWB16)
if (feature_map->tensor->layout == ETHOSU_LAYOUT_NHCWB16)
prec |= NPU_SET_IFM_PRECISION_FORMAT(1);
prec |= NPU_SET_IFM_PRECISION_PRECISION(feature_map->precision);
@ -238,10 +237,9 @@ emit_ofm(struct ethosu_subgraph *subgraph, struct ethosu_feature_map *feature_ma
static void
emit_ofm_precision(struct ethosu_subgraph *subgraph, struct ethosu_operation *operation)
{
struct ethosu_tensor *tensor = ethosu_find_tensor(subgraph, operation->ofm.tensor_idx);
unsigned prec = 0;
if (tensor->layout == ETHOSU_LAYOUT_NHCWB16)
if (operation->ofm.tensor->layout == ETHOSU_LAYOUT_NHCWB16)
prec |= NPU_SET_OFM_PRECISION_FORMAT(1);
prec |= NPU_SET_OFM_PRECISION_PRECISION(operation->ofm.precision);
@ -534,13 +532,12 @@ emit_ifm2_precision(struct ethosu_subgraph *subgraph,
struct ethosu_operation *operation,
bool has_scalar)
{
struct ethosu_tensor *tensor = ethosu_find_tensor(subgraph, operation->ifm2.tensor_idx);
unsigned prec = 0;
prec |= NPU_SET_IFM2_PRECISION_ACTIVATION_TYPE(operation->ifm2.is_signed);
prec |= NPU_SET_IFM2_PRECISION_ACTIVATION_PRECISION(operation->ifm2.precision);
if (tensor->layout == ETHOSU_LAYOUT_NHCWB16)
if (operation->ifm2.tensor->layout == ETHOSU_LAYOUT_NHCWB16)
prec |= NPU_SET_IFM2_PRECISION_ACTIVATION_FORMAT(1);
/* Vela: scalar → NONE(3), non-scalar → TILE2X2(0) */
@ -1087,10 +1084,9 @@ calc_blockdep(struct ethosu_subgraph *subgraph, struct ethosu_operation *prev_op
/* Check if previous OFM matches current IFM (same tensor) */
int ifm_index = 0;
if (operation->ifm2.tensor_idx != 0 &&
operation->ifm2.tensor_idx == prev_op->ofm.tensor_idx) {
if (operation->ifm2.tensor == prev_op->ofm.tensor) {
ifm_index = 1;
} else if (operation->ifm.tensor_idx != prev_op->ofm.tensor_idx) {
} else if (operation->ifm.tensor != prev_op->ofm.tensor) {
/* Previous operation doesn't produce current operation's IFM */
return device->max_concurrent_blocks;
}

74
src/gallium/drivers/ethosu/ethosu_lower.c
View file

@ -31,27 +31,28 @@ needed_total_padding(int input_size, int stride, int filter_size)
}
static void
set_feature_maps(struct pipe_tensor *input_tensor,
set_feature_map(struct ethosu_subgraph *subgraph,
struct pipe_tensor *tensor,
struct ethosu_feature_map *fm)
{
fm->tensor = ethosu_find_tensor(subgraph, tensor->index);
fm->shape.height = tensor->dims[1];
fm->shape.width = tensor->dims[2];
fm->shape.depth = tensor->dims[3];
fm->zero_point = tensor->zero_point;
fm->scale = tensor->scale;
fm->is_signed = tensor->is_signed;
fm->precision = log2(tensor->type_size);
}
static void
set_feature_maps(struct ethosu_subgraph *subgraph,
struct pipe_tensor *input_tensor,
struct pipe_tensor *output_tensor,
struct ethosu_operation *operation)
{
operation->ifm.tensor_idx = input_tensor->index;
operation->ifm.shape.height = input_tensor->dims[1];
operation->ifm.shape.width = input_tensor->dims[2];
operation->ifm.shape.depth = input_tensor->dims[3];
operation->ifm.zero_point = input_tensor->zero_point;
operation->ifm.scale = input_tensor->scale;
operation->ifm.is_signed = input_tensor->is_signed;
operation->ifm.precision = log2(input_tensor->type_size);
operation->ofm.tensor_idx = output_tensor->index;
operation->ofm.shape.height = output_tensor->dims[1];
operation->ofm.shape.width = output_tensor->dims[2];
operation->ofm.shape.depth = output_tensor->dims[3];
operation->ofm.zero_point = output_tensor->zero_point;
operation->ofm.scale = output_tensor->scale;
operation->ofm.is_signed = output_tensor->is_signed;
operation->ofm.precision = log2(output_tensor->type_size);
set_feature_map(subgraph, input_tensor, &operation->ifm);
set_feature_map(subgraph, output_tensor, &operation->ofm);
}
static const struct pipe_ml_operation *
@ -70,9 +71,8 @@ ethosu_find_first_consumer(const struct pipe_ml_operation *poperations,
}
static unsigned
ethosu_allocate_feature_map(struct ethosu_subgraph *subgraph, unsigned tensor_idx)
ethosu_allocate_feature_map(struct ethosu_subgraph *subgraph, struct ethosu_tensor *tensor)
{
struct ethosu_tensor *tensor = ethosu_find_tensor(subgraph, tensor_idx);
unsigned size;
if (tensor->layout == ETHOSU_LAYOUT_NHWC) {
@ -100,12 +100,12 @@ ethosu_allocate_feature_map(struct ethosu_subgraph *subgraph, unsigned tensor_id
static void
allocate_feature_maps(struct ethosu_subgraph *subgraph, struct ethosu_operation *operation)
{
operation->ofm.tiles.addresses[0] = ethosu_allocate_feature_map(subgraph, operation->ofm.tensor_idx);
operation->ofm.tiles.addresses[0] = ethosu_allocate_feature_map(subgraph, operation->ofm.tensor);
operation->ofm.tiles.height_0 = operation->ofm.shape.height;
operation->ofm.tiles.height_1 = operation->ofm.shape.height;
operation->ofm.tiles.width_0 = operation->ofm.shape.width;
operation->ifm.tiles.addresses[0] = ethosu_allocate_feature_map(subgraph, operation->ifm.tensor_idx);
operation->ifm.tiles.addresses[0] = ethosu_allocate_feature_map(subgraph, operation->ifm.tensor);
operation->ifm.tiles.height_0 = operation->ifm.shape.height;
operation->ifm.tiles.height_1 = operation->ifm.shape.height;
operation->ifm.tiles.width_0 = operation->ifm.shape.width;
@ -152,7 +152,7 @@ ethosu_lower_convolution(struct ethosu_subgraph *subgraph,
operation->conv.depthwise = is_depthwise(poperation);
set_feature_maps(input_tensor, poperation->output_tensors[0], operation);
set_feature_maps(subgraph, input_tensor, poperation->output_tensors[0], operation);
operation->kernel.height = poperation->conv.weight_tensor->dims[1];
operation->kernel.width = poperation->conv.weight_tensor->dims[2];
@ -217,7 +217,7 @@ ethosu_lower_pooling(struct ethosu_subgraph *subgraph,
assert(0 && "Unsupported pooling type");
}
set_feature_maps(poperation->input_tensors[0], poperation->output_tensors[0], operation);
set_feature_maps(subgraph, poperation->input_tensors[0], poperation->output_tensors[0], operation);
operation->kernel.height = poperation->pooling.filter_height;
operation->kernel.width = poperation->pooling.filter_width;
@ -247,16 +247,14 @@ ethosu_lower_concatenation(struct ethosu_subgraph *subgraph,
} else
operation->pooling.type = ETHOSU_POOLING_TYPE_SUM;
set_feature_maps(poperation->input_tensors[input_idx], poperation->output_tensors[0], operation);
set_feature_maps(subgraph, poperation->input_tensors[input_idx], poperation->output_tensors[0], operation);
operation->ofm.shape.depth = operation->ifm.shape.depth;
allocate_feature_maps(subgraph, operation);
for (unsigned i = 0; i < input_idx; i++) {
struct ethosu_tensor *tensor = ethosu_find_tensor(subgraph, operation->ofm.tensor_idx);
if (tensor->layout == ETHOSU_LAYOUT_NHWC)
if (operation->ofm.tensor->layout == ETHOSU_LAYOUT_NHWC)
operation->ofm.tiles.addresses[0] += poperation->input_tensors[i]->dims[3];
else if (tensor->layout == ETHOSU_LAYOUT_NHCWB16)
else if (operation->ofm.tensor->layout == ETHOSU_LAYOUT_NHCWB16)
operation->ofm.tiles.addresses[0] += poperation->input_tensors[i]->dims[2] * align(poperation->input_tensors[i]->dims[3], 16);
else
assert(0 && "Unsupported layout");
@ -273,7 +271,7 @@ ethosu_lower_resize(struct ethosu_subgraph *subgraph,
operation->type = ETHOSU_OPERATION_TYPE_POOLING;
operation->pooling.type = ETHOSU_POOLING_TYPE_AVG;
set_feature_maps(poperation->input_tensors[0], poperation->output_tensors[0], operation);
set_feature_maps(subgraph, poperation->input_tensors[0], poperation->output_tensors[0], operation);
operation->upscale = ETHOSU_UPSCALE_NEAREST;
@ -289,7 +287,7 @@ ethosu_lower_strided_slice(struct ethosu_subgraph *subgraph,
operation->type = ETHOSU_OPERATION_TYPE_POOLING;
operation->pooling.type = ETHOSU_POOLING_TYPE_AVG;
set_feature_maps(poperation->input_tensors[0], poperation->output_tensors[0], operation);
set_feature_maps(subgraph, poperation->input_tensors[0], poperation->output_tensors[0], operation);
operation->ifm.shape = operation->ofm.shape;
allocate_feature_maps(subgraph, operation);
@ -340,16 +338,10 @@ ethosu_lower_add(struct ethosu_subgraph *subgraph,
operation->eltwise.ifm_reversed = true;
}
set_feature_maps(poperation->input_tensors[ifm_idx], poperation->output_tensors[0], operation);
set_feature_maps(subgraph, poperation->input_tensors[ifm_idx], poperation->output_tensors[0], operation);
set_feature_map(subgraph, poperation->input_tensors[ifm2_idx], &operation->ifm2);
operation->ifm2.tensor_idx = poperation->input_tensors[ifm2_idx]->index;
operation->ifm2.shape.height = poperation->input_tensors[ifm2_idx]->dims[1];
operation->ifm2.shape.width = poperation->input_tensors[ifm2_idx]->dims[2];
operation->ifm2.shape.depth = poperation->input_tensors[ifm2_idx]->dims[3];
operation->ifm2.zero_point = poperation->input_tensors[ifm2_idx]->zero_point;
operation->ifm2.scale = poperation->input_tensors[ifm2_idx]->scale;
operation->ifm2.is_signed = poperation->input_tensors[ifm2_idx]->is_signed;
operation->ifm2.precision = log2(poperation->input_tensors[ifm2_idx]->type_size);
if (poperation->input_tensors[ifm2_idx]->data &&
operation->ifm2.shape.width == 1 &&
operation->ifm2.shape.height == 1 &&
@ -361,7 +353,7 @@ ethosu_lower_add(struct ethosu_subgraph *subgraph,
allocate_feature_maps(subgraph, operation);
operation->ifm2.tiles.addresses[0] = ethosu_allocate_feature_map(subgraph, operation->ifm2.tensor_idx);
operation->ifm2.tiles.addresses[0] = ethosu_allocate_feature_map(subgraph, operation->ifm2.tensor);
operation->ifm2.tiles.height_0 = operation->ifm2.shape.height;
operation->ifm2.tiles.height_1 = operation->ifm2.shape.height;
operation->ifm2.tiles.width_0 = operation->ifm2.shape.width;

4
src/gallium/drivers/ethosu/ethosu_ml.h
View file

@ -66,8 +66,10 @@ enum ethosu_upscale_mode {
ETHOSU_UPSCALE_ZEROS = 2,
};
struct ethosu_tensor;
struct ethosu_feature_map {
unsigned tensor_idx;
struct ethosu_tensor *tensor;
struct ethosu_block shape;
bool is_signed;
uint8_t precision;