Self-contained safetensor wrappers (huggingface#946)

* Self-contained safetensor wrappers.

* Use the new safetensor container in varbuilders.

candle-core/src/safetensors.rs

@@ -321,6 +321,18 @@ impl MmapedSafetensors {
     }
 
     pub fn load(&self, name: &str, dev: &Device) -> Result<Tensor> {
+        self.get(name)?.load(dev)
+    }
+
+    pub fn tensors(&self) -> Vec<(String, st::TensorView<'_>)> {
+        let mut tensors = vec![];
+        for safetensors in self.safetensors.iter() {
+            tensors.push(safetensors.get().0.tensors())
+        }
+        tensors.into_iter().flatten().collect()
+    }
+
+    pub fn get(&self, name: &str) -> Result<st::TensorView<'_>> {
         let index = match &self.routing {
             None => 0,
             Some(routing) => {
@@ -333,15 +345,7 @@ impl MmapedSafetensors {
                 *index
             }
         };
-        self.safetensors[index].get().0.tensor(name)?.load(dev)
-    }
-
-    pub fn tensors(&self) -> Vec<(String, st::TensorView<'_>)> {
-        let mut tensors = vec![];
-        for safetensors in self.safetensors.iter() {
-            tensors.push(safetensors.get().0.tensors())
-        }
-        tensors.into_iter().flatten().collect()
+        Ok(self.safetensors[index].get().0.tensor(name)?)
     }
 }
 

candle-examples/examples/t5/main.rs

@@ -122,30 +122,16 @@ impl T5ModelBuilder {
     }
 
     pub fn build_encoder(&self) -> Result<t5::T5EncoderModel> {
-        let weights = self
-            .weights_filename
-            .iter()
-            .map(|f| unsafe { candle::safetensors::MmapedFile::new(f) })
-            .collect::<candle::Result<Vec<_>>>()?;
-        let weights = weights
-            .iter()
-            .map(|w| w.deserialize())
-            .collect::<candle::Result<Vec<_>>>()?;
-        let vb = VarBuilder::from_safetensors(weights, DTYPE, &self.device);
+        let vb = unsafe {
+            VarBuilder::from_mmaped_safetensors(&self.weights_filename, DTYPE, &self.device)?
+        };
         Ok(t5::T5EncoderModel::load(vb, &self.config)?)
     }
 
     pub fn build_conditional_generation(&self) -> Result<t5::T5ForConditionalGeneration> {
-        let weights = self
-            .weights_filename
-            .iter()
-            .map(|f| unsafe { candle::safetensors::MmapedFile::new(f) })
-            .collect::<candle::Result<Vec<_>>>()?;
-        let weights = weights
-            .iter()
-            .map(|w| w.deserialize())
-            .collect::<candle::Result<Vec<_>>>()?;
-        let vb = VarBuilder::from_safetensors(weights, DTYPE, &self.device);
+        let vb = unsafe {
+            VarBuilder::from_mmaped_safetensors(&self.weights_filename, DTYPE, &self.device)?
+        };
         Ok(t5::T5ForConditionalGeneration::load(vb, &self.config)?)
     }
 }

candle-nn/src/var_builder.rs

@@ -325,6 +325,32 @@ impl SimpleBackend for candle::npy::NpzTensors {
     }
 }
 
+impl SimpleBackend for candle::safetensors::MmapedSafetensors {
+    fn get(
+        &self,
+        s: Shape,
+        name: &str,
+        _: crate::Init,
+        dtype: DType,
+        dev: &Device,
+    ) -> Result<Tensor> {
+        let tensor = self.load(name, dev)?.to_dtype(dtype)?;
+        if tensor.shape() != &s {
+            Err(candle::Error::UnexpectedShape {
+                msg: format!("shape mismatch for {name}"),
+                expected: s,
+                got: tensor.shape().clone(),
+            }
+            .bt())?
+        }
+        Ok(tensor)
+    }
+
+    fn contains_tensor(&self, name: &str) -> bool {
+        self.get(name).is_ok()
+    }
+}
+
 impl<'a> VarBuilder<'a> {
     fn new(backend: Box<dyn SimpleBackend + 'a>, dtype: DType, device: Device) -> Self {
         let data = TensorData {
@@ -361,7 +387,7 @@ impl<'a> VarBuilder<'a> {
     }
 
     /// Initializes a `VarBuilder` that retrieves tensors stored in a collection of safetensors
-    /// files.
+    /// data.
     pub fn from_safetensors(safetensors: Vec<SafeTensors<'a>>, dtype: DType, dev: &Device) -> Self {
         let mut routing = HashMap::new();
         for (index, sf) in safetensors.iter().enumerate() {
@@ -376,6 +402,21 @@ impl<'a> VarBuilder<'a> {
         Self::new(Box::new(tensors), dtype, dev.clone())
     }
 
+    /// Initializes a `VarBuilder` that retrieves tensors stored in a collection of safetensors
+    /// files.
+    ///
+    /// # Safety
+    ///
+    /// The unsafe is inherited from [`memmap2::MmapOptions`].
+    pub unsafe fn from_mmaped_safetensors<P: AsRef<std::path::Path>>(
+        paths: &[P],
+        dtype: DType,
+        dev: &Device,
+    ) -> Result<Self> {
+        let tensors = candle::safetensors::MmapedSafetensors::multi(paths)?;
+        Ok(Self::new(Box::new(tensors), dtype, dev.clone()))
+    }
+
     /// Initializes a `VarBuilder` that retrieves tensors stored in a numpy npz file.
     pub fn from_npz<P: AsRef<std::path::Path>>(p: P, dtype: DType, dev: &Device) -> Result<Self> {
         let npz = candle::npy::NpzTensors::new(p)?;