MIOpen v1.2.0

Notes:

• This release adds the support for recurrent neural networks (RNNs) for three flavors - Vanilla, LSTMs, and GRU
• Users can now themselves update the perf-db file, which hosts the tuning parameters for convolutions, by setting appropriate environment variables

Changes:

• Over 50% improvement in ResNet performance since the last release
• Multiple padding modes like Same and Valid added
• Winograd convolution kernels added for strided bwd-data convolutions
• Tensor Ops allow for beta and alpha scaling values and support up to 5 dimensions with strides and offsets
• Tensor Copy supports up to 5 dimesnional copies with strides and offsets
• Unit-tests for LRN are added
• Several bug fixes for all the layers of the library

Known issues:

• RNNs may give incorrect result due to a known compiler bug; issue may particulary arise during some RNNs configs with GEMM of size power of 4
• Potential issue where OpenCL resources will be exhausted for large RNN

MIOpen v.1.1.4

Merge branch '1.1.x' of github.com:AMDComputeLibraries/MLOpen into 1.1.x

MIOpen v.1.1.1

• Performance improvements for the HIP backend
• Robust error-checking

MIOpen v1.1

Notes:

• The scaling parameter alpha and shift parameter beta for layers kernels are only supported for alpha = 1 and beta = 0. The exceptions to this are for miopenOptTensor, miopenConvolutionForwardBias, and miopenConvolutionBackwardBias.
• Currently, only 32-bit floats are supported in MIOpen.
• MIOpen only supports tensor layout NCHW.

Changes:

• Added persistent cache for compiled GPU kernels
• Performance improvements for batch normalization kernels
• Performance improvements for all types of convolutions for 1x1 filters
• Performance improvements for all types of convolutions with non-unit strides
• Performance improvements for backward-weights convolutions for 3x3 filters
• Performance improvements for the AddTensor operation
• Various bug fixes for Winograd convolutions

1.0.2

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