diff options
| author | Manuel Bottini <manuel.bottini@arm.com> | 2019-06-17 12:04:40 +0100 |
|---|---|---|
| committer | Manuel Bottini <manuel.bottini@arm.com> | 2019-06-25 16:50:22 +0000 |
| commit | 11091762b6cbfa26d2135677d77b0bc7127ae980 (patch) | |
| tree | 3088dd69bbad82e7b1b08d32690a336aceb627d0 /src/runtime | |
| parent | 26dcbc7ec604eefce46d728d946878e16a470274 (diff) | |
| download | ComputeLibrary-11091762b6cbfa26d2135677d77b0bc7127ae980.tar.gz | |
COMPMID-2245: Extend NEFuseBatchNormalization to support DepthwiseConvolution weights
Change-Id: I2ee4aebfd69865290ed6c78dd17ff1299353317e
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1371
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'src/runtime')
| -rw-r--r-- | src/runtime/NEON/functions/NEFuseBatchNormalization.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp index dc48731c4d..68dc159f75 100644 --- a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp +++ b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp @@ -36,20 +36,20 @@ NEFuseBatchNormalization::NEFuseBatchNormalization() { } -void NEFuseBatchNormalization::configure(const ITensor *conv_weights, const ITensor *bn_mean, const ITensor *bn_var, +void NEFuseBatchNormalization::configure(const ITensor *input_weights, const ITensor *bn_mean, const ITensor *bn_var, ITensor *fused_weights, ITensor *fused_bias, - const ITensor *conv_bias, const ITensor *bn_beta, const ITensor *bn_gamma, - float epsilon) + const ITensor *input_bias, const ITensor *bn_beta, const ITensor *bn_gamma, + float epsilon, FuseBatchNormalizationType fbn_type) { - _fuse_bn_kernel.configure(conv_weights, bn_mean, bn_var, fused_weights, fused_bias, conv_bias, bn_beta, bn_gamma, epsilon); + _fuse_bn_kernel.configure(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type); } -Status NEFuseBatchNormalization::validate(const ITensorInfo *conv_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var, +Status NEFuseBatchNormalization::validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var, const ITensorInfo *fused_weights, const ITensorInfo *fused_bias, - const ITensorInfo *conv_bias, const ITensorInfo *bn_beta, const ITensorInfo *bn_gamma, - float epsilon) + const ITensorInfo *input_bias, const ITensorInfo *bn_beta, const ITensorInfo *bn_gamma, + float epsilon, FuseBatchNormalizationType fbn_type) { - return NEFuseBatchNormalizationKernel::validate(conv_weights, bn_mean, bn_var, fused_weights, fused_bias, conv_bias, bn_beta, bn_gamma, epsilon); + return NEFuseBatchNormalizationKernel::validate(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type); } void NEFuseBatchNormalization::run() |