simplified

2022-06-27 15:46:04 -04:00
parent 18e6a9852f
commit e7001f063c
8 changed files with 182 additions and 344 deletions
@@ -0,0 +1,79 @@
+import jax
+from jax import numpy as jnp
+import numpy
+
+from .models.dalle_bart_encoder_flax import DalleBartEncoderFlax
+from .models.dalle_bart_decoder_flax import DalleBartDecoderFlax
+
+
+def encode_flax(
+    text_tokens: numpy.ndarray,
+    config: dict, 
+    params: dict
+) -> jnp.ndarray:
+    print("loading flax encoder")
+    encoder: DalleBartEncoderFlax = DalleBartEncoderFlax(
+        attention_head_count = config['encoder_attention_heads'],
+        embed_count = config['d_model'],
+        glu_embed_count = config['encoder_ffn_dim'],
+        text_token_count = config['max_text_length'],
+        text_vocab_count = config['encoder_vocab_size'],
+        layer_count = config['encoder_layers']
+    ).bind({'params': params.pop('encoder')})
+
+    print("encoding text tokens")
+    encoder_state = encoder(text_tokens)
+    del encoder
+    return encoder_state
+
+
+def decode_flax(
+    text_tokens: jnp.ndarray,
+    encoder_state: jnp.ndarray,
+    config: dict,
+    seed: int,
+    params: dict
+) -> jnp.ndarray:
+    print("loading flax decoder")
+    decoder = DalleBartDecoderFlax(
+        image_token_count = config['image_length'],
+        text_token_count = config['max_text_length'],
+        image_vocab_count = config['image_vocab_size'],
+        attention_head_count = config['decoder_attention_heads'],
+        embed_count = config['d_model'],
+        glu_embed_count = config['decoder_ffn_dim'],
+        layer_count = config['decoder_layers'],
+        start_token = config['decoder_start_token_id']
+    )
+    print("sampling image tokens")
+    image_tokens = decoder.sample_image_tokens(
+        text_tokens,
+        encoder_state,
+        jax.random.PRNGKey(seed),
+        params.pop('decoder')
+    )
+    del decoder
+    return image_tokens
+
+
+def generate_image_tokens_flax(
+    text_tokens: numpy.ndarray,
+    seed: int,
+    config: dict,
+    params: dict
+) -> numpy.ndarray:
+    encoder_state = encode_flax(
+        text_tokens, 
+        config, 
+        params
+    )
+    image_tokens = decode_flax(
+        text_tokens, 
+        encoder_state, 
+        config, 
+        seed, 
+        params
+    )
+    image_tokens = numpy.array(image_tokens)
+    print("image tokens", list(image_tokens))
+    return image_tokens