Revamp tensor constructors. #27
Merged
Conversation
This file contains 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
Make constructors that take both "shape" and "data" arguments: - Specify shape as an explicit `Seq[Int]`, not `Int*`. This clearly distinguishes shape from data. - Specify shape as the first argument. This is consistent with libraries like NumPy (e.g. `np.full(shape, fill_value)`). Rename `zeros(Tensor)` and `ones(Tensor)` to `zeros_like` and `ones_like`.
TiarkRompf
reviewed
Oct 13, 2018
| @@ -194,7 +194,7 @@ class AdLMSVectorTest extends LanternFunSuite { | |||
| @virtualize | |||
| def snippet(a: Rep[String]): Rep[Unit] = { | |||
| val idx = var_new(0) | |||
| val t = Tensor.fill(seq => { idx += 1; idx }, 2, 3) | |||
| val t = Tensor.fill(Seq(2, 3), (seq => { idx += 1; idx })) | |||
|
|
|||
There was a problem hiding this comment.
I'd prefer writing this as
val t = Tensor.fill(2, 3) { is => idx += 1; idx }
|
Multiple parameter lists is a great idea, noted in #17. I'll continue to focus on GPU support. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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.
Make constructors that take both "shape" and "data" arguments:
Seq[Int], notInt*. This clearlydistinguishes shape from data.
like NumPy (e.g.
np.full(shape, fill_value)).Rename
zeros(Tensor)andones(Tensor)tozeros_likeandones_like.