Add initial support for quantized transpose convolution in Relay #6899
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
This work is based on @jainris initial PR: apache#6523 I added a relay.qnn.conv2d_transpose node. The strategy I followed is to convert to int16 and invoke nn.conv2d_transpose (which already exists in relay). Main changes: - The node declaration lives in relay/qnn/op/convolution_transpose.cc - Cast int8->int16 and subsequent offset removal is in tvm/relay/qnn/op/legalizations.py. - I added and tested the operator in the tflite front-end - I added a unit-test in Relay for qnn.conv2d_transpose Co-authored-by: Rishabh Jain <jainris@users.noreply.github.com>
mbaret
reviewed
Nov 23, 2020
|
cc @siju-samuel @FrozenGene if you're interested |
trevor-m
pushed a commit
to trevor-m/tvm
that referenced
this pull request
Dec 2, 2020
…che#6899) * Add initial support for quantized transpose convolution in Relay This work is based on @jainris initial PR: apache#6523 I added a relay.qnn.conv2d_transpose node. The strategy I followed is to convert to int16 and invoke nn.conv2d_transpose (which already exists in relay). Main changes: - The node declaration lives in relay/qnn/op/convolution_transpose.cc - Cast int8->int16 and subsequent offset removal is in tvm/relay/qnn/op/legalizations.py. - I added and tested the operator in the tflite front-end - I added a unit-test in Relay for qnn.conv2d_transpose Co-authored-by: Rishabh Jain <jainris@users.noreply.github.com> * Fix linting * Addressing review comments Co-authored-by: Rishabh Jain <jainris@users.noreply.github.com>
trevor-m
pushed a commit
to trevor-m/tvm
that referenced
this pull request
Dec 4, 2020
…che#6899) * Add initial support for quantized transpose convolution in Relay This work is based on @jainris initial PR: apache#6523 I added a relay.qnn.conv2d_transpose node. The strategy I followed is to convert to int16 and invoke nn.conv2d_transpose (which already exists in relay). Main changes: - The node declaration lives in relay/qnn/op/convolution_transpose.cc - Cast int8->int16 and subsequent offset removal is in tvm/relay/qnn/op/legalizations.py. - I added and tested the operator in the tflite front-end - I added a unit-test in Relay for qnn.conv2d_transpose Co-authored-by: Rishabh Jain <jainris@users.noreply.github.com> * Fix linting * Addressing review comments Co-authored-by: Rishabh Jain <jainris@users.noreply.github.com>
trevor-m
pushed a commit
to neo-ai/tvm
that referenced
this pull request
Dec 4, 2020
…che#6899) * Add initial support for quantized transpose convolution in Relay This work is based on @jainris initial PR: apache#6523 I added a relay.qnn.conv2d_transpose node. The strategy I followed is to convert to int16 and invoke nn.conv2d_transpose (which already exists in relay). Main changes: - The node declaration lives in relay/qnn/op/convolution_transpose.cc - Cast int8->int16 and subsequent offset removal is in tvm/relay/qnn/op/legalizations.py. - I added and tested the operator in the tflite front-end - I added a unit-test in Relay for qnn.conv2d_transpose Co-authored-by: Rishabh Jain <jainris@users.noreply.github.com> * Fix linting * Addressing review comments Co-authored-by: Rishabh Jain <jainris@users.noreply.github.com>
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.
This work is based on @jainris initial PR: #6523
I added a relay.qnn.conv2d_transpose node. The strategy I followed is to
convert to int16 and invoke nn.conv2d_transpose (which already exists in
relay). Main changes: