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Mxnet parser for Qnn dialect #4714

Merged
merged 23 commits into from
Feb 5, 2020
Merged

Mxnet parser for Qnn dialect #4714

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fdb033f
- Additional util methods needed for mxnet frontend for qnn dialect.
shoubhik Jan 7, 2020
9f16c63
- Fixing call to quantize.
shoubhik Jan 7, 2020
24ca89a
[QNN] MxNet-MKLDNN parser support for QNN
Jan 7, 2020
92095fd
[QNN] Relax conv check.
Jan 7, 2020
387fea3
- Merge from origin
shoubhik Jan 8, 2020
7057307
wqMerge branch 'master' into qnn-mxnet-parser
shoubhik Jan 8, 2020
e23576f
[QNN] Channel wise changes
Jan 8, 2020
555862b
[QNN] Dense changes
Jan 8, 2020
f3c0f53
Dense fix for QNN ops.
Jan 8, 2020
8227c95
Merge branch 'mx_qnn_parser' of https://github.com/anijain2305/tvm in…
shoubhik Jan 9, 2020
e75ba69
- Removed non-mkl code from utils.
shoubhik Jan 10, 2020
63d6fc0
- Fixing ring buffer name.
shoubhik Jan 14, 2020
e484ef8
- Fixing pylint issues.
shoubhik Jan 15, 2020
1c55919
Merge branch 'master' into qnn-mxnet-parser
shoubhik Jan 15, 2020
20f0d70
- Fixing lint
shoubhik Jan 16, 2020
4db6843
- Adding test cases
shoubhik Jan 17, 2020
8191ffe
Merge branch 'master' into qnn-mxnet-parser
shoubhik Jan 17, 2020
db4381e
[WIP] end to end test case for mxnet qnn parser
shoubhik Jan 21, 2020
02e568d
Merge branch 'master' into qnn-mxnet-parser
shoubhik Jan 21, 2020
f1c0827
Changes to parse large CV models.
Jan 21, 2020
27701ba
Pylint issues.
Jan 21, 2020
86c9e84
Fix Conv2D with sum and quantized pooling.
anijain2305 Feb 4, 2020
6fb6a9d
Reverting the changes made for mxnet-mkldnn test cases. Because of #4…
shoubhik Feb 5, 2020
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4 changes: 4 additions & 0 deletions python/tvm/relay/frontend/__init__.py
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Expand Up @@ -25,6 +25,10 @@

from .mxnet import from_mxnet
from .mxnet_qnn_op_utils import dequantize_mxnet_min_max
from .mxnet_qnn_op_utils import quantize_mxnet_min_max
from .mxnet_qnn_op_utils import get_mkldnn_int8_scale
from .mxnet_qnn_op_utils import get_mkldnn_uint8_scale
from .mxnet_qnn_op_utils import quantize_conv_bias_mkldnn_from_var
from .keras import from_keras
from .onnx import from_onnx
from .tflite import from_tflite
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