You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@tvm.apache.org by wu...@apache.org on 2020/01/03 13:40:08 UTC
[incubator-tvm] branch master updated (2440c9c -> 0720ed6)
This is an automated email from the ASF dual-hosted git repository.
wuwei pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from 2440c9c [Quantization] Make calibration faster and more memory usage friendly (#4589)
add 0720ed6 {QNN] Making scale/zero_points as expr instead of attrs. (#4611)
No new revisions were added by this update.
Summary of changes:
include/tvm/relay/qnn/attrs.h | 176 ------------------
python/tvm/relay/frontend/mxnet_qnn_op_utils.py | 13 +-
python/tvm/relay/frontend/tflite.py | 50 +++--
python/tvm/relay/qnn/op/__init__.py | 1 -
python/tvm/relay/qnn/op/legalizations.py | 46 +++--
python/tvm/relay/qnn/op/op_attrs.py | 28 ---
python/tvm/relay/qnn/op/qnn.py | 76 ++++----
.../tvm/relay/util.py | 34 ++--
src/relay/pass/pattern_util.h | 1 +
src/relay/qnn/op/add.cc | 30 +--
src/relay/qnn/op/concatenate.cc | 90 ++++++---
src/relay/qnn/op/convolution.cc | 205 ++++++++++++---------
src/relay/qnn/op/dense.cc | 86 +++++----
src/relay/qnn/op/dequantize.cc | 47 +++--
src/relay/qnn/op/mul.cc | 40 ++--
src/relay/qnn/op/op_common.h | 46 +++--
src/relay/qnn/op/quantize.cc | 52 +++---
src/relay/qnn/op/requantize.cc | 62 ++++---
src/relay/qnn/util.h | 33 ++--
tests/python/relay/test_op_qnn_add.py | 72 ++++----
tests/python/relay/test_op_qnn_concatenate.py | 50 +++--
tests/python/relay/test_op_qnn_conv2d.py | 28 +--
tests/python/relay/test_op_qnn_dense.py | 16 +-
tests/python/relay/test_op_qnn_dequantize.py | 95 +++++-----
tests/python/relay/test_op_qnn_mul.py | 60 +++---
tests/python/relay/test_op_qnn_quantize.py | 82 ++++-----
tests/python/relay/test_op_qnn_requantize.py | 8 +-
tests/python/relay/test_pass_qnn_legalize.py | 40 ++--
28 files changed, 756 insertions(+), 811 deletions(-)
delete mode 100644 python/tvm/relay/qnn/op/op_attrs.py
copy docker/install/ubuntu_install_nnpack.sh => python/tvm/relay/util.py (55%)
mode change 100755 => 100644