-
Notifications
You must be signed in to change notification settings - Fork 37
feat: Log probabilities support #221
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
Merged
Changes from all commits
Commits
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,253 @@ | ||
| /* | ||
| Copyright 2025 The llm-d-inference-sim Authors. | ||
|
|
||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
|
|
||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
|
|
||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| */ | ||
|
|
||
| package common | ||
|
|
||
| import ( | ||
| . "github.com/onsi/ginkgo/v2" | ||
| . "github.com/onsi/gomega" | ||
| ) | ||
|
|
||
| var _ = Describe("Logprobs", func() { | ||
|
|
||
| Context("GenerateTextLogprobs", func() { | ||
| It("should generate correct text logprobs structure", func() { | ||
| tokens := []string{" Paris", ",", " the", " capital"} | ||
| logprobsCount := 2 | ||
|
|
||
| logprobs := GenerateTextLogprobs(tokens, logprobsCount) | ||
|
|
||
| Expect(logprobs).NotTo(BeNil()) | ||
| Expect(logprobs.Tokens).To(HaveLen(len(tokens))) | ||
| Expect(logprobs.TokenLogprobs).To(HaveLen(len(tokens))) | ||
| Expect(logprobs.TopLogprobs).To(HaveLen(len(tokens))) | ||
| Expect(logprobs.TextOffset).To(HaveLen(len(tokens))) | ||
|
|
||
| // Check that each top logprobs entry has the expected number of alternatives | ||
| for i, topLogprob := range logprobs.TopLogprobs { | ||
| Expect(topLogprob).To(HaveLen(logprobsCount)) | ||
| // Check that the main token is included in the alternatives | ||
| Expect(topLogprob).To(HaveKey(tokens[i])) | ||
| } | ||
|
|
||
| // Check text offsets are calculated correctly (byte-based) | ||
| expectedOffsets := []int{0, 6, 7, 11} // " Paris" - 6, "," - 1, " the" -4, " capital" - 11 | ||
| for i, expected := range expectedOffsets { | ||
| Expect(logprobs.TextOffset[i]).To(Equal(expected)) | ||
| } | ||
|
|
||
| // Check deterministic logprobs | ||
| expectedLogprob0 := -1.0 // defaultLogprob - float64(0%3)*0.1 | ||
| Expect(logprobs.TokenLogprobs[0]).To(Equal(expectedLogprob0)) | ||
| }) | ||
| }) | ||
|
|
||
| Context("GenerateChatLogprobs", func() { | ||
| It("should generate correct chat logprobs structure", func() { | ||
| tokens := []string{"4"} | ||
| topLogprobsCount := 3 | ||
|
|
||
| logprobs := GenerateChatLogprobs(tokens, topLogprobsCount) | ||
|
|
||
| Expect(logprobs).NotTo(BeNil()) | ||
| Expect(logprobs.Content).To(HaveLen(len(tokens))) | ||
|
|
||
| content := logprobs.Content[0] | ||
| Expect(content.Token).To(Equal(tokens[0])) | ||
| Expect(content.Bytes).To(HaveLen(len(tokens[0]))) | ||
| Expect(content.TopLogprobs).To(HaveLen(topLogprobsCount)) | ||
|
|
||
| // Check that the main token is the first in top logprobs | ||
| Expect(content.TopLogprobs[0].Token).To(Equal(tokens[0])) | ||
|
|
||
| // Check alternative tokens follow the pattern | ||
| expectedAlt1 := "4_1" | ||
| Expect(content.TopLogprobs[1].Token).To(Equal(expectedAlt1)) | ||
|
|
||
| // Check byte conversion | ||
| expectedBytes := []int{52} // byte value of '4' | ||
| for i, expected := range expectedBytes { | ||
| Expect(content.Bytes[i]).To(Equal(expected)) | ||
| } | ||
|
|
||
| // Check deterministic logprobs | ||
| expectedLogprob := -1.0 // defaultLogprob - float64(0%3)*0.1 | ||
| Expect(content.Logprob).To(Equal(expectedLogprob)) | ||
| }) | ||
| }) | ||
|
|
||
| Context("calculateLogprob", func() { | ||
| It("should calculate main token probabilities correctly", func() { | ||
| // Test position cycle behavior (cycle of 3) | ||
| // Position 0: -1.0 - (0 % 3) * 0.1 = -1.0 | ||
| result0 := calculateLogprob(0, 0) | ||
| Expect(result0).To(Equal(-1.0)) | ||
|
|
||
| // Position 1: -1.0 - (1 % 3) * 0.1 = -1.1 | ||
| result1 := calculateLogprob(1, 0) | ||
| Expect(result1).To(Equal(-1.1)) | ||
|
|
||
| // Position 2: -1.0 - (2 % 3) * 0.1 = -1.2 | ||
| result2 := calculateLogprob(2, 0) | ||
| Expect(result2).To(Equal(-1.2)) | ||
|
|
||
| // Position 3: -1.0 - (3 % 3) * 0.1 = -1.0 (cycle repeats) | ||
| result3 := calculateLogprob(3, 0) | ||
| Expect(result3).To(Equal(-1.0)) | ||
|
|
||
| // Position 4: -1.0 - (4 % 3) * 0.1 = -1.1 (cycle repeats) | ||
| result4 := calculateLogprob(4, 0) | ||
| Expect(result4).To(Equal(-1.1)) | ||
| }) | ||
|
|
||
| It("should calculate alternative token probabilities correctly", func() { | ||
| // Test alternative token decrements (0.5 per alternative index) | ||
| tokenPosition := 0 // Start with position 0 (main logprob = -1.0) | ||
|
|
||
| // Alternative 1: -1.0 - 1 * 0.5 = -1.5 | ||
| alt1 := calculateLogprob(tokenPosition, 1) | ||
| Expect(alt1).To(Equal(-1.5)) | ||
|
|
||
| // Alternative 2: -1.0 - 2 * 0.5 = -2.0 | ||
| alt2 := calculateLogprob(tokenPosition, 2) | ||
| Expect(alt2).To(Equal(-2.0)) | ||
|
|
||
| // Alternative 3: -1.0 - 3 * 0.5 = -2.5 | ||
| alt3 := calculateLogprob(tokenPosition, 3) | ||
| Expect(alt3).To(Equal(-2.5)) | ||
| }) | ||
|
|
||
| It("should combine position cycle and alternative index correctly", func() { | ||
| // Test with position 1 (main logprob = -1.1) | ||
| tokenPosition := 1 | ||
|
|
||
| // Main token: -1.0 - (1 % 3) * 0.1 = -1.1 | ||
| main := calculateLogprob(tokenPosition, 0) | ||
| Expect(main).To(Equal(-1.1)) | ||
|
|
||
| // Alternative 1: -1.1 - 1 * 0.5 = -1.6 | ||
| alt1 := calculateLogprob(tokenPosition, 1) | ||
| Expect(alt1).To(Equal(-1.6)) | ||
|
|
||
| // Alternative 2: -1.1 - 2 * 0.5 = -2.1 | ||
| alt2 := calculateLogprob(tokenPosition, 2) | ||
| Expect(alt2).To(Equal(-2.1)) | ||
| }) | ||
|
|
||
| It("should handle large position values correctly", func() { | ||
| // Test with large position values to ensure cycle works | ||
| largePosition := 100 | ||
|
|
||
| // Position 100: -1.0 - (100 % 3) * 0.1 = -1.0 - 1 * 0.1 = -1.1 | ||
| result := calculateLogprob(largePosition, 0) | ||
| Expect(result).To(Equal(-1.1)) | ||
|
|
||
| // With alternative: -1.1 - 1 * 0.5 = -1.6 | ||
| resultAlt := calculateLogprob(largePosition, 1) | ||
| Expect(resultAlt).To(Equal(-1.6)) | ||
| }) | ||
|
|
||
| It("should handle edge cases correctly", func() { | ||
| // Test with zero values | ||
| result := calculateLogprob(0, 0) | ||
| Expect(result).To(Equal(-1.0)) | ||
|
|
||
| // Test with large alternative index | ||
| largeAlt := calculateLogprob(0, 10) | ||
| expectedLargeAlt := -1.0 - float64(10)*0.5 // -6.0 | ||
| Expect(largeAlt).To(Equal(expectedLargeAlt)) | ||
| }) | ||
| }) | ||
|
|
||
| Context("Other scenarios", func() { | ||
| It("should handle empty tokens for text logprobs", func() { | ||
| logprobs := GenerateTextLogprobs([]string{}, 2) | ||
|
|
||
| Expect(logprobs).NotTo(BeNil()) | ||
| Expect(logprobs.Tokens).To(BeEmpty()) | ||
| }) | ||
|
|
||
| It("should handle empty tokens for chat logprobs", func() { | ||
| logprobs := GenerateChatLogprobs([]string{}, 2) | ||
|
|
||
| Expect(logprobs).NotTo(BeNil()) | ||
| Expect(logprobs.Content).To(BeEmpty()) | ||
| }) | ||
|
|
||
| It("should verify probability pattern as token position grows", func() { | ||
| // Test the cycling pattern of probabilities | ||
|
|
||
| // Test first cycle (positions 0-2) | ||
| prob0 := calculateLogprob(0, 0) | ||
| prob1 := calculateLogprob(1, 0) | ||
| prob2 := calculateLogprob(2, 0) | ||
|
|
||
| Expect(prob0).To(Equal(-1.0)) // defaultLogprob | ||
| Expect(prob1).To(Equal(-1.1)) // defaultLogprob - 1*0.1 | ||
| Expect(prob2).To(Equal(-1.2)) // defaultLogprob - 2*0.1 | ||
|
|
||
| // Test second cycle (positions 3-5) - should repeat the pattern | ||
| prob3 := calculateLogprob(3, 0) | ||
| prob4 := calculateLogprob(4, 0) | ||
| prob5 := calculateLogprob(5, 0) | ||
|
|
||
| Expect(prob3).To(Equal(prob0)) // Should equal position 0 | ||
| Expect(prob4).To(Equal(prob1)) // Should equal position 1 | ||
| Expect(prob5).To(Equal(prob2)) // Should equal position 2 | ||
|
|
||
| // Test third cycle (positions 6-8) - should repeat again | ||
| prob6 := calculateLogprob(6, 0) | ||
| prob7 := calculateLogprob(7, 0) | ||
| prob8 := calculateLogprob(8, 0) | ||
|
|
||
| Expect(prob6).To(Equal(prob0)) // Should equal position 0 | ||
| Expect(prob7).To(Equal(prob1)) // Should equal position 1 | ||
| Expect(prob8).To(Equal(prob2)) // Should equal position 2 | ||
|
|
||
| // Verify the cycling pattern continues for larger positions | ||
| for i := 0; i < 20; i++ { | ||
| expectedProb := defaultLogprob - float64(i%positionCycle)*positionDecrement | ||
| actualProb := calculateLogprob(i, 0) | ||
| Expect(actualProb).To(Equal(expectedProb), "Position %d should have probability %f", i, expectedProb) | ||
| } | ||
| }) | ||
| }) | ||
|
|
||
| Context("No Limits", func() { | ||
| It("should allow unlimited logprobs count", func() { | ||
| tokens := []string{"test"} | ||
|
|
||
| // Test text completion (no clamping) | ||
| textLogprobs := GenerateTextLogprobs(tokens, 10) | ||
| Expect(textLogprobs.TopLogprobs[0]).To(HaveLen(10)) | ||
|
|
||
| // Test chat completion (no clamping) | ||
| chatLogprobs := GenerateChatLogprobs(tokens, 25) | ||
| Expect(chatLogprobs.Content[0].TopLogprobs).To(HaveLen(25)) | ||
|
|
||
| // Test high count | ||
| textLogprobs = GenerateTextLogprobs(tokens, 100) | ||
| Expect(textLogprobs.TopLogprobs[0]).To(HaveLen(100)) | ||
|
|
||
| chatLogprobs = GenerateChatLogprobs(tokens, 50) | ||
| Expect(chatLogprobs.Content[0].TopLogprobs).To(HaveLen(50)) | ||
|
|
||
| // Test minimum (at least 1) | ||
| textLogprobs = GenerateTextLogprobs(tokens, 0) | ||
| Expect(textLogprobs.TopLogprobs[0]).To(HaveLen(1)) | ||
| }) | ||
| }) | ||
| }) | ||
Oops, something went wrong.
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Uh oh!
There was an error while loading. Please reload this page.