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fix(api): move prompt parsing logs to trace level

This commit is contained in:
Sean Sube 2023-03-18 17:32:32 -05:00
parent d321321507
commit ed8a7c8934
Signed by: ssube
GPG Key ID: 3EED7B957D362AF1
1 changed files with 7 additions and 7 deletions
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14
api/onnx_web/diffusers/utils.py
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@ -50,7 +50,7 @@ def expand_prompt(
) )
groups_count = ceil(tokens.input_ids.shape[1] / MAX_TOKENS_PER_GROUP) groups_count = ceil(tokens.input_ids.shape[1] / MAX_TOKENS_PER_GROUP)
logger.debug("splitting %s into %s groups", tokens.input_ids.shape, groups_count) logger.trace("splitting %s into %s groups", tokens.input_ids.shape, groups_count)
groups = [] groups = []
# np.array_split(tokens.input_ids, groups_count, axis=1) # np.array_split(tokens.input_ids, groups_count, axis=1)
@ -59,19 +59,19 @@ def expand_prompt(
group_end = min( group_end = min(
group_start + MAX_TOKENS_PER_GROUP, tokens.input_ids.shape[1] group_start + MAX_TOKENS_PER_GROUP, tokens.input_ids.shape[1]
) # or should this be 1? ) # or should this be 1?
logger.debug("building group for token slice [%s : %s]", group_start, group_end) logger.trace("building group for token slice [%s : %s]", group_start, group_end)
groups.append(tokens.input_ids[:, group_start:group_end]) groups.append(tokens.input_ids[:, group_start:group_end])
# encode each chunk # encode each chunk
logger.debug("group token shapes: %s", [t.shape for t in groups]) logger.trace("group token shapes: %s", [t.shape for t in groups])
group_embeds = [] group_embeds = []
for group in groups: for group in groups:
logger.debug("encoding group: %s", group.shape) logger.trace("encoding group: %s", group.shape)
embeds = self.text_encoder(input_ids=group.astype(np.int32))[0] embeds = self.text_encoder(input_ids=group.astype(np.int32))[0]
group_embeds.append(embeds) group_embeds.append(embeds)
# concat those embeds # concat those embeds
logger.debug("group embeds shape: %s", [t.shape for t in group_embeds]) logger.trace("group embeds shape: %s", [t.shape for t in group_embeds])
prompt_embeds = np.concatenate(group_embeds, axis=1) prompt_embeds = np.concatenate(group_embeds, axis=1)
prompt_embeds = np.repeat(prompt_embeds, num_images_per_prompt, axis=0) prompt_embeds = np.repeat(prompt_embeds, num_images_per_prompt, axis=0)
@ -107,7 +107,7 @@ def expand_prompt(
input_ids=uncond_input.input_ids.astype(np.int32) input_ids=uncond_input.input_ids.astype(np.int32)
)[0] )[0]
negative_padding = tokens.input_ids.shape[1] - negative_prompt_embeds.shape[1] negative_padding = tokens.input_ids.shape[1] - negative_prompt_embeds.shape[1]
logger.debug( logger.trace(
"padding negative prompt to match input: %s, %s, %s extra tokens", "padding negative prompt to match input: %s, %s, %s extra tokens",
tokens.input_ids.shape, tokens.input_ids.shape,
negative_prompt_embeds.shape, negative_prompt_embeds.shape,
@ -128,7 +128,7 @@ def expand_prompt(
# to avoid doing two forward passes # to avoid doing two forward passes
prompt_embeds = np.concatenate([negative_prompt_embeds, prompt_embeds]) prompt_embeds = np.concatenate([negative_prompt_embeds, prompt_embeds])
logger.debug("expanded prompt shape: %s", prompt_embeds.shape) logger.trace("expanded prompt shape: %s", prompt_embeds.shape)
return prompt_embeds return prompt_embeds