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怎么没有windows版本呢? #5
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同问 |
It's coming soon. Meanwhile, you can use docker to try it out on windows (http://www.paddlepaddle.org/doc_cn/build_and_install/install/docker_install.html) |
I think if paddle shows a good support of windows, it will be very popular! And a pre-build package will be better. |
@thesby It's already in our progress. We will inform you again soon when it's ready. |
Given that we can now run Docker containers on Windows using its native virtualization mechanism, I make this a temporarily pending requirement, so we can focus on making Paddle running better with Linux. Sorry for this prioritization decision. I understand that Docker containers might have some issues such as memory limitation, so if we see enough number of +1's accumulate in this issue in the future, we will hand on it again. |
…ork_proto Modify rnn op unit test after refactoring framework proto.
…rd run (#41306) * [Refactor] refactored eager_gen.py PR #2 * [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes * Fixed minor issue * Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition * Fixed issues * Supported higher-order grad node generation * [DoubleGrad PR #4] Supported higher-order GradNode generation * [DoubleGrad #4] Bug Fixes to Double Grad Node Generation * Fixed yaml typo * Fixed yaml typo * fixed minor issues * [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad() * Fixed minor issue * Fixed CI-Inference issue * Fixed CI-inference issues * [DoubleGrad PR #7] paddle.grad() to copy backward graph before backward run * Fixed minor issues * Fixed issue with backward graph construction logic * Fixed implementation issues with backward graph reconstruction * Fixed unittest issue * Fixed issues
* [Refactor] refactored eager_gen.py PR #2 * [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes * Fixed minor issue * Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition * Fixed issues * Supported higher-order grad node generation * [DoubleGrad PR #4] Supported higher-order GradNode generation * [DoubleGrad #4] Bug Fixes to Double Grad Node Generation * Fixed yaml typo * Fixed yaml typo * fixed minor issues * [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad() * Fixed minor issue * Fixed CI-Inference issue * Fixed CI-inference issues * [DoubleGrad PR #7] paddle.grad() to copy backward graph before backward run * Fixed minor issues * Fixed issue with backward graph construction logic * Fixed implementation issues with backward graph reconstruction * Fixed unittest issue * Fixed issues * [DoubleGrad PR #8] Enabled triple grads for sigmoid and matmul * Fixed issues with phi kernel * Added triple grad test case * Fixed minor issue
polish test_gradients_and_minimize
refine c++ python api title
* fix IsThreadLocalCapturing * run cuda kernel: CalcAucKernel with 512 threads * fix_afs_api_download_dnn_plugin * fix_fleet_last_base
[GpuGraph] deepwalk
update shard annotation
add quant feature in fused_seqpool_cvm_op
add file parser interface support user defined file format analysis and slotrecord pool disable
[bugfix] fix _find_op_path_ bugs in append_backward.
add serving part for PLSC
Elementwise add & mul fix
add benchmarks against stanford-ctc logspace explanation
fix clustering_engine
怎么没有windows版本呢?
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