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fix: correct typos and improve comments across multiple files by codespell (#4116)

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Signed-off-by: Huang Qi <huangqi3@xiaomi.com>
This commit is contained in:
Huang Qi
2025-03-07 08:21:54 +08:00
committed by GitHub
parent 73998e4c85
commit 412631ac13
108 changed files with 215 additions and 215 deletions
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2
core/iwasm/libraries/wasi-nn/src/wasi_nn_llamacpp.c
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@ -14,7 +14,7 @@ extern char const *LLAMA_COMMIT;
extern char const *LLAMA_COMPILER;
extern char const *LLAMA_BUILD_TARGET;
// compatable with WasmEdge
// compatible with WasmEdge
// https://github.com/second-state/WasmEdge-WASINN-examples/blob/master/wasmedge-ggml/README.md#parameters
// https://github.com/WasmEdge/WasmEdge/blob/master/plugins/wasi_nn/ggml.cpp
struct wasi_nn_llama_config {

8
core/iwasm/libraries/wasi-nn/src/wasi_nn_tensorflowlite.cpp
View File

@ -56,7 +56,7 @@ initialize_g(TFLiteContext *tfl_ctx, graph *g)
os_mutex_lock(&tfl_ctx->g_lock);
if (tfl_ctx->current_models == MAX_GRAPHS_PER_INST) {
os_mutex_unlock(&tfl_ctx->g_lock);
NN_ERR_PRINTF("Excedded max graphs per WASM instance");
NN_ERR_PRINTF("Exceeded max graphs per WASM instance");
return runtime_error;
}
*g = tfl_ctx->current_models++;
@ -70,7 +70,7 @@ initialize_graph_ctx(TFLiteContext *tfl_ctx, graph g,
os_mutex_lock(&tfl_ctx->g_lock);
if (tfl_ctx->current_interpreters == MAX_GRAPH_EXEC_CONTEXTS_PER_INST) {
os_mutex_unlock(&tfl_ctx->g_lock);
NN_ERR_PRINTF("Excedded max graph execution context per WASM instance");
NN_ERR_PRINTF("Exceeded max graph execution context per WASM instance");
return runtime_error;
}
*ctx = tfl_ctx->current_interpreters++;
@ -325,7 +325,7 @@ set_input(void *tflite_ctx, graph_execution_context ctx, uint32_t index,
int size = model_tensor_size * sizeof(float);
bh_memcpy_s(it, size, input_tensor->data, size);
}
else { // TODO: Assumming uint8 quantized networks.
else { // TODO: Assuming uint8 quantized networks.
TfLiteAffineQuantization *quant_info =
(TfLiteAffineQuantization *)tensor->quantization.params;
if (quant_info->scale->size != 1 || quant_info->zero_point->size != 1) {
@ -406,7 +406,7 @@ get_output(void *tflite_ctx, graph_execution_context ctx, uint32_t index,
int size = model_tensor_size * sizeof(float);
bh_memcpy_s(output_tensor, size, ot, size);
}
else { // TODO: Assumming uint8 quantized networks.
else { // TODO: Assuming uint8 quantized networks.
TfLiteAffineQuantization *quant_info =
(TfLiteAffineQuantization *)tensor->quantization.params;
if (quant_info->scale->size != 1 || quant_info->zero_point->size != 1) {