From e2c82fee3b6d38f6e79412c78176792b817defd0 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Mon, 2 Oct 2017 18:51:47 +0100 Subject: COMPMID-550: Adds support for branches. Change-Id: I778007c9221ce3156400284c4039b90245eb2b7f Reviewed-on: http://mpd-gerrit.cambridge.arm.com/90043 Tested-by: Kaizen Reviewed-by: Anthony Barbier --- src/graph/nodes/ActivationLayer.cpp | 32 ++++++++++++++++++-------------- 1 file changed, 18 insertions(+), 14 deletions(-) (limited to 'src/graph/nodes/ActivationLayer.cpp') diff --git a/src/graph/nodes/ActivationLayer.cpp b/src/graph/nodes/ActivationLayer.cpp index 5cd2a0bcc2..5e75c28bc7 100644 --- a/src/graph/nodes/ActivationLayer.cpp +++ b/src/graph/nodes/ActivationLayer.cpp @@ -36,7 +36,7 @@ using namespace arm_compute::graph; namespace { template -std::unique_ptr instantiate_function(ITensor *input, ITensor *output, const ActivationLayerInfo &activation_info) +std::unique_ptr instantiate_function(arm_compute::ITensor *input, arm_compute::ITensor *output, const ActivationLayerInfo &activation_info) { auto activation = arm_compute::support::cpp14::make_unique(); activation->configure( @@ -48,18 +48,18 @@ std::unique_ptr instantiate_function(ITensor *input, ITe } template -std::unique_ptr instantiate(ITensor *input, ITensor *output, const ActivationLayerInfo &activation_info); +std::unique_ptr instantiate(arm_compute::ITensor *input, arm_compute::ITensor *output, const ActivationLayerInfo &activation_info); template <> -std::unique_ptr instantiate(ITensor *input, ITensor *output, const ActivationLayerInfo &activation_info) +std::unique_ptr instantiate(arm_compute::ITensor *input, arm_compute::ITensor *output, const ActivationLayerInfo &activation_info) { - return instantiate_function(input, output, activation_info); + return instantiate_function(input, output, activation_info); } template <> -std::unique_ptr instantiate(ITensor *input, ITensor *output, const ActivationLayerInfo &activation_info) +std::unique_ptr instantiate(arm_compute::ITensor *input, arm_compute::ITensor *output, const ActivationLayerInfo &activation_info) { - return instantiate_function(input, output, activation_info); + return instantiate_function(input, output, activation_info); } } // namespace @@ -68,25 +68,29 @@ ActivationLayer::ActivationLayer(const ActivationLayerInfo activation_info) { } -std::unique_ptr ActivationLayer::instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output) +std::unique_ptr ActivationLayer::instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output) { + ARM_COMPUTE_ERROR_ON(input == nullptr || input->tensor() == nullptr); + ARM_COMPUTE_ERROR_ON(output == nullptr || output->tensor() == nullptr); + std::unique_ptr func; _target_hint = ctx.hints().target_hint(); + arm_compute::ITensor *in = input->tensor(); + arm_compute::ITensor *out = output->tensor(); + if(_target_hint == TargetHint::OPENCL) { - func = instantiate(input, output, _activation_info); - ARM_COMPUTE_LOG("Instantiating CLActivationLayer"); + func = instantiate(in, out, _activation_info); } else { - func = instantiate(input, output, _activation_info); - ARM_COMPUTE_LOG("Instantiating NEActivationLayer"); + func = instantiate(in, out, _activation_info); } - ARM_COMPUTE_LOG(" Data Type: " << input->info()->data_type() - << " Input shape: " << input->info()->tensor_shape() - << " Output shape: " << output->info()->tensor_shape() + ARM_COMPUTE_LOG(" Data Type: " << in->info()->data_type() + << " Input shape: " << in->info()->tensor_shape() + << " Output shape: " << out->info()->tensor_shape() << " Activation function: " << _activation_info.activation() << " a: " << _activation_info.a() << " b: " << _activation_info.b() -- cgit v1.2.1