Tensor tools print all (#2543)

* Support whisper large-v3 turbo in the whisper-microphone example.

* Print all tensors when no argument is provided.

tensor-tools/src/main.rs

@@ -197,6 +197,11 @@ fn run_print(
  match format {
  Format::Npz => {
  let tensors = candle::npy::NpzTensors::new(file)?;
+ let names = if names.is_empty() {
+ tensors.names().into_iter().map(|v| v.to_string()).collect()
+ } else {
+ names
+ };
  for name in names.iter() {
  println!("==== {name} ====");
  match tensors.get(name)? {
@@ -209,6 +214,11 @@ fn run_print(
  use candle::safetensors::Load;
  let tensors = unsafe { candle::safetensors::MmapedSafetensors::new(file)? };
  let tensors: std::collections::HashMap<_, _> = tensors.tensors().into_iter().collect();
+ let names = if names.is_empty() {
+ tensors.keys().map(|v| v.to_string()).collect()
+ } else {
+ names
+ };
  for name in names.iter() {
  println!("==== {name} ====");
  match tensors.get(name) {
@@ -222,6 +232,15 @@ fn run_print(
  }
  Format::Pth => {
  let pth_file = candle::pickle::PthTensors::new(file, None)?;
+ let names = if names.is_empty() {
+ pth_file
+ .tensor_infos()
+ .keys()
+ .map(|v| v.to_string())
+ .collect()
+ } else {
+ names
+ };
  for name in names.iter() {
  println!("==== {name} ====");
  match pth_file.get(name)? {
@@ -238,6 +257,11 @@ fn run_print(
  Format::Ggml => {
  let mut file = std::fs::File::open(file)?;
  let content = candle::quantized::ggml_file::Content::read(&mut file, device)?;
+ let names = if names.is_empty() {
+ content.tensors.keys().map(|v| v.to_string()).collect()
+ } else {
+ names
+ };
  for name in names.iter() {
  println!("==== {name} ====");
  match content.tensors.get(name) {
@@ -252,6 +276,11 @@ fn run_print(
  Format::Gguf => {
  let mut file = std::fs::File::open(file)?;
  let content = gguf_file::Content::read(&mut file)?;
+ let names = if names.is_empty() {
+ content.tensor_infos.keys().map(|v| v.to_string()).collect()
+ } else {
+ names
+ };
  for name in names.iter() {
  println!("==== {name} ====");
  match content.tensor(&mut file, name, device) {