ericsorides
commited on
Commit
·
2393f6b
1
Parent(s):
b5495a3
Added position_ids input
Browse files- README.md +7 -1
- model.onnx +2 -2
README.md
CHANGED
@@ -82,8 +82,11 @@ def generate_text(model_path, prompt, tokenizer, max_gen_tokens, total_sequence,
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inputs_dict = {}
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inputs_dict['input_ids'] = actual_input[:, :window].reshape(1, window).numpy()
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inputs_dict['attention_mask'] = first_attention
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for name in inputs_names:
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if name == 'input_ids' or name == 'attention_mask': continue
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inputs_dict[name] = np.zeros([1, n_heads, context-window, 96], dtype="float16")
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index = 0
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new_token = np.array([10])
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@@ -114,6 +117,9 @@ def generate_text(model_path, prompt, tokenizer, max_gen_tokens, total_sequence,
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inputs_dict['input_ids']= total_input[:, j:next_index].reshape(1, window)
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elif name == 'attention_mask':
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inputs_dict['attention_mask'] = np.concatenate((np.zeros((1, total_sequence-next_index), dtype = 'int64'), np.ones((1, next_index), dtype = 'int64')), axis=1)
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else:
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old_name = name.replace("past_key_values", "present")
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inputs_dict[name] = outs_dictionary[old_name][:, :, next_index-old_j:context-window+(next_index - old_j), :]
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inputs_dict = {}
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inputs_dict['input_ids'] = actual_input[:, :window].reshape(1, window).numpy()
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inputs_dict['attention_mask'] = first_attention
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index_pos = sum(first_attention[0])
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inputs_dict['position_ids'] = np.concatenate((np.zeros([1, total_sequence - index_pos], dtype = 'int64'), np.arange(index_pos, dtype = 'int64').reshape(1, index_pos)), axis=1)
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inputs_dict['tree_attention'] = np.triu(-65504*np.ones(total_sequence), k= 1).astype('float16').reshape(1, 1, total_sequence, total_sequence)
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for name in inputs_names:
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if name == 'input_ids' or name == 'attention_mask' or name == 'position_ids' or name == 'tree_attention': continue
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inputs_dict[name] = np.zeros([1, n_heads, context-window, 96], dtype="float16")
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index = 0
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new_token = np.array([10])
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inputs_dict['input_ids']= total_input[:, j:next_index].reshape(1, window)
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elif name == 'attention_mask':
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inputs_dict['attention_mask'] = np.concatenate((np.zeros((1, total_sequence-next_index), dtype = 'int64'), np.ones((1, next_index), dtype = 'int64')), axis=1)
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elif name == 'position_ids':
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inputs_dict['position_ids'] = np.concatenate((np.zeros([1, total_sequence - next_index], dtype = 'int64'), np.arange(next_index, dtype = 'int64').reshape(1, next_index)), axis=1)
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elif name == 'tree_attention': continue
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else:
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old_name = name.replace("past_key_values", "present")
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inputs_dict[name] = outs_dictionary[old_name][:, :, next_index-old_j:context-window+(next_index - old_j), :]
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model.onnx
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:cb6aa452912cbe7fc2cb1497a967ff442867425fe76b2b9a6a3fee81309b8411
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size 1623039
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