Improve addPastKeyValues function

huggingface · Sep 11, 2023 · ed64809 · ed64809
1 parent 0dbe7b2
commit ed64809
Showing 1 changed file with 31 additions and 39 deletions.
diff --git a/src/models.js b/src/models.js
@@ -308,7 +308,6 @@ function boolTensor(value) {
  * @private
  */
 async function seq2seqForward(self, model_inputs) {
-    const add_decoder_pkv = self.add_decoder_pkv ?? true;
 
     let { encoder_outputs, past_key_values } = model_inputs;
 
@@ -325,7 +324,7 @@ async function seq2seqForward(self, model_inputs) {
     if (self.decoder_merged_session.inputNames.includes('encoder_attention_mask')) {
         decoderFeeds.encoder_attention_mask = model_inputs.attention_mask
     }
-    self.addPastKeyValues(decoderFeeds, past_key_values, add_decoder_pkv);
+    self.addPastKeyValues(decoderFeeds, past_key_values);
 
     const decoderResults = await sessionRun(self.decoder_merged_session, decoderFeeds);
     let logits = decoderResults.logits;
@@ -1182,57 +1181,50 @@ export class PreTrainedModel extends Callable {
      *
      * @param {Object} decoderFeeds The decoder feeds object to add past key values to.
      * @param {Object} pastKeyValues An object containing past key values.
-     * @param {boolean} [hasDecoder=false] Whether the model has a decoder.
      */
-    addPastKeyValues(decoderFeeds, pastKeyValues, hasDecoder = false) {
+    addPastKeyValues(decoderFeeds, pastKeyValues) {
         if (pastKeyValues) {
             Object.assign(decoderFeeds, pastKeyValues)
         } else {
             // TODO support batches (i.e., batch_size > 1)
-            if (hasDecoder) {
+            if (this.config.is_encoder_decoder) {
                 // @ts-ignore
                 let encoder_dims = [1, this.num_encoder_heads, 0, this.encoder_dim_kv];
-                // @ts-ignore
-                for (let i = 0; i < this.num_encoder_layers; ++i) {
-                    decoderFeeds[`past_key_values.${i}.encoder.key`] = new Tensor('float32', [], encoder_dims)
-                    decoderFeeds[`past_key_values.${i}.encoder.value`] = new Tensor('float32', [], encoder_dims)
-                }
-
                 // @ts-ignore
                 let decoder_dims = [1, this.num_decoder_heads, 0, this.decoder_dim_kv];
                 // @ts-ignore
                 for (let i = 0; i < this.num_decoder_layers; ++i) {
+                    decoderFeeds[`past_key_values.${i}.encoder.key`] = new Tensor('float32', [], encoder_dims)
+                    decoderFeeds[`past_key_values.${i}.encoder.value`] = new Tensor('float32', [], encoder_dims)
                     decoderFeeds[`past_key_values.${i}.decoder.key`] = new Tensor('float32', [], decoder_dims)
                     decoderFeeds[`past_key_values.${i}.decoder.value`] = new Tensor('float32', [], decoder_dims)
                 }
+            } else if (this.config.multi_query) { // e.g., for `gpt_bigcode`
+                // @ts-ignore
+                let dims = [1, 0, 2 * this.dim_kv]
+                // @ts-ignore
+                for (let i = 0; i < this.num_layers; ++i) {
+                    decoderFeeds[`past_key_values.${i}.key_value`] = new Tensor('float32', [], dims)
+                }
+            } else if (this.config.model_type === 'bloom') {
+                // NOTE: Custom implementation for Bloom
 
-            } else {
-                if (this.config.multi_query) {
-                    // @ts-ignore
-                    let dims = [1, 0, 2 * this.dim_kv]
-                    // @ts-ignore
-                    for (let i = 0; i < this.num_layers; ++i) {
-                        decoderFeeds[`past_key_values.${i}.key_value`] = new Tensor('float32', [], dims)
-                    }
-                } else if (this.config.model_type === 'bloom') {
-                    // Custom implementation for Bloom
-                    // @ts-ignore
-                    let keyDims = [1 * this.num_heads, this.dim_kv, 0] // [batch_size x num_heads,64,past_sequence_length]
-                    // @ts-ignore
-                    let valueDims = [1 * this.num_heads, 0, this.dim_kv] // [batch_size x num_heads,past_sequence_length,64]
-                    // @ts-ignore
-                    for (let i = 0; i < this.num_layers; ++i) {
-                        decoderFeeds[`past_key_values.${i}.key`] = new Tensor('float32', [], keyDims)
-                        decoderFeeds[`past_key_values.${i}.value`] = new Tensor('float32', [], valueDims)
-                    }
-                } else {
-                    // @ts-ignore
-                    let dims = [1, this.num_heads, 0, this.dim_kv]
-                    // @ts-ignore
-                    for (let i = 0; i < this.num_layers; ++i) {
-                        decoderFeeds[`past_key_values.${i}.key`] = new Tensor('float32', [], dims)
-                        decoderFeeds[`past_key_values.${i}.value`] = new Tensor('float32', [], dims)
-                    }
+                // @ts-ignore
+                let keyDims = [1 * this.num_heads, this.dim_kv, 0] // [batch_size x num_heads,64,past_sequence_length]
+                // @ts-ignore
+                let valueDims = [1 * this.num_heads, 0, this.dim_kv] // [batch_size x num_heads,past_sequence_length,64]
+                // @ts-ignore
+                for (let i = 0; i < this.num_layers; ++i) {
+                    decoderFeeds[`past_key_values.${i}.key`] = new Tensor('float32', [], keyDims)
+                    decoderFeeds[`past_key_values.${i}.value`] = new Tensor('float32', [], valueDims)
+                }
+            } else { // Decoder-only
+                // @ts-ignore
+                let dims = [1, this.num_heads, 0, this.dim_kv]
+                // @ts-ignore
+                for (let i = 0; i < this.num_layers; ++i) {
+                    decoderFeeds[`past_key_values.${i}.key`] = new Tensor('float32', [], dims)
+                    decoderFeeds[`past_key_values.${i}.value`] = new Tensor('float32', [], dims)
                 }
             }
         }
@@ -2546,7 +2538,7 @@ export class WhisperForConditionalGeneration extends WhisperPreTrainedModel {
  */
 export class VisionEncoderDecoderModel extends PreTrainedModel {
     main_input_name = 'pixel_values';
-    add_decoder_pkv = false;
+    // add_decoder_pkv = false;
 
     /**
      * Creates a new instance of the `VisionEncoderDecoderModel` class.