Add initial support for quantized transpose convolution in Relay#6899
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mbaret merged 3 commits intoapache:mainfrom Nov 26, 2020
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Add initial support for quantized transpose convolution in Relay#6899mbaret merged 3 commits intoapache:mainfrom
mbaret merged 3 commits intoapache:mainfrom
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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>
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mbaret
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Nov 23, 2020
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cc @siju-samuel @FrozenGene if you're interested |
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…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
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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
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to neo-ai/tvm
that referenced
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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>
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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: