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No matching distribution error from pip #65

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drewstone opened this issue Nov 28, 2017 · 8 comments
Closed

No matching distribution error from pip #65

drewstone opened this issue Nov 28, 2017 · 8 comments

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@drewstone
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Hello, I'm not able to install this using pip and am having even less luck compiling bazel to do it from source.

I've tried python version 2.7 and 3.6.

How can I install this?

@brianretford
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Hey Drew,

What platform are you on? Can you provide exact details on that as well as a dump of the command you're running and the output.

Thanks!

@brianretford
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Friendly ping. Are you trying to deploy to arm?

@drewstone
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Apologies, I've been busy with school. I believe I was on Ubuntu 16.04 when I was trying to configure this (I quickly iterated on multiple Ubuntu versions perhaps 14.04.5 if this can't be replicated)

I was trying to deploy plaidML on my AMD GPUs: XFX7970 or Sapphire cards. I was getting errors that the packages didn't exist in pip. After also failing to compile bazel from source, I gave up compiling anything from source.

@brianretford
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Can you copy and paste exactly what you're doing and what the error is and the output of 'uname -a'? The pips are definitely there:
https://pypi.python.org/pypi/plaidml-keras
https://pypi.python.org/pypi/plaidml

@brianretford
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Note that we only ship pips for x64. If for some reason you were using a 32-bit version of Linux, I would expect to see something like what you saw.

@brianretford
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Could you let us know if PlaidML currently works for you? Or if you were running a 32-bit linux?

@tzerrell
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tzerrell commented Aug 6, 2018

Closing this as stale; feel free to reopen if the issue persists

@bulgarian-beast
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Hello,

First of all thank you for any help.
I am on :

macOS Big Sur 11.0.1
Python 3.7.9 - 64Bit
pip 20.0.2

I can't pip install plaidml-keras==0.7.0 (or any other version)

Got :

Collecting plaidml-keras==0.7.0
Using cached plaidml_keras-0.7.0-py2.py3-none-any.whl (19 kB)
Requirement already satisfied: six in /usr/local/lib/python3.7/site-packages (from plaidml-keras==0.7.0) (1.14.0)
ERROR: Could not find a version that satisfies the requirement plaidml (from plaidml-keras==0.7.0) (from versions: none)

YangleiZouIntel added a commit that referenced this issue Jan 25, 2021
* Fix reverse sequence

* 1. Fix activation
2. Clean up
mergify bot pushed a commit that referenced this issue Jan 28, 2021
* Checkpoint based on OpenVINO 5408f61

* fix test cases of scatter* ops (#48)

* Change BatchNormInference to follow opset5. (#50)

Signed-off-by: xin1.wang <xin1.wang@intel.com>

* fix lrn op and test case (#52)

* change decrease mode to accord with ngraph reference mode. (#51)

* Fix squeeze op  (#56)

* add get_constant_vector func into plaidml_util.hpp, fix squeeze op failed test case.

* clean code.

* avoid failed test case. (#53)

* Fix VariadicSplit

* Update openvino git tag

* Fix activation basic by adding HSigmoid and Round Ops (#55)

* Add HSigmoid Ops

* Add Round Ops with mode half_to_even and half_away_from_zero.

* Fix cast dtype to input tensor datatype

* Fix eltwise. (#57)

* Close FP16 and I32 for stdx and tile support.

Signed-off-by: xin1.wang <xin1.wang@intel.com>

* Update interpolate op

* fix MatMul op and enable test cases (#58)

* fix pooling test case (#59)

* Fix ConvolutionBackpropData. (#61)

* do not support some data now.

Signed-off-by: xin1.wang <xin1.wang@intel.com>

* fix strided_slice op. (#62)

* Fix reverse sequence (#63)

* Fix activation (#65)

* Fix reverse sequence

* 1. Fix activation
2. Clean up

* Fix ReduceOps (#66)

* Add edsl LogicalAnd test case

* Cast tensor to float32 before logical reduction

* Fix negative reduction axes (#67)

* Comment ActivationParam due to errors in nGraph

* Clean up smoke tests

* Remove some comments of BatchNormInference. (#1680)

Signed-off-by: xin1.wang <xin1.wang@intel.com>

* Fixup reduce logical ops, return output dtype as input (#1681)

* Fix openvino RoundHalfToEven (#1683)

* Use floor instead of cast specified int type

* Fix naming style

* fix matmul and add new test cases (#1684)

* PrioBox only supports fixed_ratio with one element now. (#1682)

* PrioBox only supports fixed_ratio with one element now.

Signed-off-by: xin1.wang <xin1.wang@intel.com>

* Fix somke test and add comments.

Signed-off-by: xin1.wang <xin1.wang@intel.com>

* Update copyright to 2021

Co-authored-by: Zhibin Li <haoyouab@gmail.com>
Co-authored-by: Xin Wang <xin1.wang@intel.com>
Co-authored-by: xinghong chen <xinghong.chen@intel.com>
Co-authored-by: Liyang Ling <liyang.ling@intel.com>
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