Age | Commit message (Collapse) | Author |
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Change-Id: I3f8175538152cd801c8ed4244a8ae3f75d182997
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Adds support for Equal,NotEqual,Less,LessEqual,Greater,GreaterEqual
Change-Id: If0cdf4aae7f95c94709b195eee485f6663f45909
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Change-Id: I2a18f0acea382960a8bc71a8f56928a5998f0dd6
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Change-Id: Icadce1298f9e52dc6f4b0adc1556ede9dd9a2a2e
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Change-Id: Id74cc7ba8e5cabee6acd3798d4779f88b1f00a9b
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Change-Id: I49b2e8b4200c9ed654736d9451e4ab9c073b4b10
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-Fixes NEWinogradConvolution memory manager usage
-Moves allocations in prepare staged for GEMMDispatchWrapper.
Change-Id: Ic1c709ee473eb4968f5a081f2bc26960f882f8db
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Change-Id: I9d4ba7d00d50a84f650f0449faa8a25226068fed
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Change-Id: I29e35024e29781a6b943b568abec9c73649215e6
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Change-Id: I6ee2c0b670727fc808fa636c53ddfaec3a0036c9
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Change-Id: I49f1d865f5e7562f1d80db849353a89ef77e6a9e
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Output of Priorbox should be independent of the input
data layout and should always be in NCHW format
Change-Id: Ie80cd4e51c78945b158c0db1af1923bdf8d7ea7b
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Change-Id: I95fdf5bd85becfe081f6ae587284f3b294681308
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Change-Id: I62d937533967b29505d3ac8a51b513f0c6de8cd0
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Fixes for:
- ReduceMean, reduction on the X axis for FP16 with 8 elements was
performed only up to a certain point. The fix now takes into account the
number of elements of the vector and does as many reductions as
necessary.
- YOLOLayer, activation for FP16 has to be performed on 32 bits until
the FP16 approximations is fixed.
Change-Id: I75373f4edd37de476e6fe1a56de3ef386b65c619
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NHWC reduction on 0 axis requires a lot of memory. Testing only
axis 1 and 2 for now.
Change-Id: I82e16a27b6dfc6b426e6294cde63c3d88cb41a09
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-Simplifies import memory interface
-Changes the used of void** handles with appropriate interfaces.
Change-Id: I5918c855c11f46352058864623336b352162a4b7
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-Adds NHWC support for FP16
Change-Id: I61addf8efecf511ac8cd5f8aa9afc3e09c476aaf
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Changed random distribution to [1, 2] as values close to
zero generate mismatches.
Change-Id: I4a00fc4f445b123dea624dd8459efce945f06126
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Change-Id: I376d29aa6ec1b52d978c4d49de63c6713d6036e3
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FP mixed precision support added to GEMM kernel used for fp16 winograd conv on Midgard GPUs
Change-Id: I1619beb025fc484a1ac9d3e528d785edabbc7ee6
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Change-Id: I770b044b67d93510ef65e556905135b34be7ea0a
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Change-Id: I5f99e448e208be6ca819bf4ab2c7b367c874d3f5
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Change-Id: I4c84a3156114d973fcff22a6b86a3c0044502fc8
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Change-Id: I6e7dee8bd615a5eff01c523f208a218574ee5eab
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Change-Id: Ieb6f0638174ea1deb8b457d8df81511651a246a9
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kernels
Change-Id: I98183f95814442b6f3dbb67a1bdae99df05b9b01
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Change-Id: I88c4a3b55943ed3bcf63cad63b0c7570770c2056
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Change-Id: I54a3f34aa3657396e931f18c81af2941d3b56903
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Change-Id: I5d2ed5dcc342abff8124762f7bdee587cdf20032
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- Fixing a bug for which we did not scale the boxes before transforming them
- Adding the correct_transform_coords option to BoundingBoxTransformInfo
Change-Id: I40281254bcf87e7c8583c119e99562414fe59822
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BoxWithNMSLimitKernel
COMPMID-1792: Accuracy issue in CLGenerateProposals
This patch does the following:
- Some fixes for GenerateProposals function and tests
- Adapting BoxWithNMSLimitKernel to only accept U32 tensors as keeps_size
- Update 3rdparty
- Adds a small tolerance for a GenerateProposals test
Change-Id: Ia8ec1cdfe941fe05003645e86deb9ea6a6044d74
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Introduced F32 accumulation for F16 winograd gemm and output transform
WinogradConvolution will be available for F16 only if fast math flag is enabled
Change-Id: I215593c205236a0f9669218437bb40b184ec6a4f
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With this patch we are able to dispatch a single GPU job also in case of
batched-flatten
Change-Id: I755e7af29d44b24f67fa04bad3c9b7646e8deefc
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Increase tolerance for FP16
Change-Id: I88f95da5471bbceb7449f453e2e33cf0bc4da23e
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Change-Id: I2c2250669829e399fdc2363f729dc5e68d8aac17
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Change-Id: I8a9b1e16d90b9d99a6ff2a442347748432723b14
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Change-Id: I99e1c3939cfea4b9cb0ddfa313706f31b213ca89
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Change-Id: Ibc8d903c8d3c97b51dc8a3344197b56ad9d6c00e
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Change-Id: Ia8d4e46ce5d9bb366af15726bc208dc14583c6ae
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Change-Id: Icf813a0a87d4a07e180eafdb5fa916b2ea4028d2
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num_elems_processed was passed as a scale instead of a step
Change-Id: I8c6d58fe4432f9f6beb31c0a1e02204c96775d98
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AccessWindowRectangle::update_window_if_needed()
Change-Id: I56426cc9c9688a0aa0acdd439d5887c7ef208cd2
Note: The code to shrink the window hasn't been fixed yet.
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in the install_dir
Change-Id: I5ba348d36325bcffb33b1e68435d5fe27cec8402
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Change-Id: I69e995973597ba3927d29e4f6ed5438560e53d77
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In case of CIFG optimisation scratch buffer should have a size of
[batch_size, num_units * 3] else [batch_size, num_units * 4].
Change-Id: I43e46f7b52e791472f1196f36e9142240ba76c5c
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Added test cases to exercise the code path where the reshaping of B is performed on the fly.
Change-Id: Ifa4348e1054dc0019be3927f482adf64b18fd554
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Change-Id: Ib0798cc17496b7817f5b5769b25d98913a33a69d
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Change-Id: Id94fb9c88a498d7b938f4f707e2e7b9b6df94880
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Change-Id: I5bf5d751ec7c02d96c26a769f49d03ea23a248b7
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