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-rw-r--r--src/backends/gpuFsa/layers/GpuFsaSoftmax.cpp106
1 files changed, 106 insertions, 0 deletions
diff --git a/src/backends/gpuFsa/layers/GpuFsaSoftmax.cpp b/src/backends/gpuFsa/layers/GpuFsaSoftmax.cpp
new file mode 100644
index 0000000000..6e5aa26bef
--- /dev/null
+++ b/src/backends/gpuFsa/layers/GpuFsaSoftmax.cpp
@@ -0,0 +1,106 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "GpuFsaSoftmax.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <aclCommon/ArmComputeUtils.hpp>
+
+#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuSoftmax.h>
+#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h>
+
+using namespace arm_compute::experimental::dynamic_fusion;
+using namespace armnn::armcomputetensorutils;
+
+namespace armnn
+{
+
+arm_compute::Status GpuFsaSoftmaxValidate(const TensorInfo& input,
+ const TensorInfo& output,
+ const SoftmaxDescriptor& descriptor)
+{
+ // Create a new workload sketch, for validation purposes
+ auto compileCtx = arm_compute::CLKernelLibrary::get().get_compile_context();
+ auto workloadContext = GpuWorkloadContext(&compileCtx);
+ GpuWorkloadSketch sketch{ &workloadContext };
+
+ // Build and create tensor infos using the sketch
+ arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, input.GetNumDimensions());
+ arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, output.GetNumDimensions());
+ aclInputInfo.set_are_values_constant(input.IsConstant());
+ aclOutputInfo.set_are_values_constant(output.IsConstant());
+ arm_compute::ITensorInfo* inputInfo = workloadContext.create_tensor_info(aclInputInfo);
+ arm_compute::ITensorInfo* outputInfo = workloadContext.create_tensor_info(aclOutputInfo);
+
+ // Set Softmax attributes using descriptor
+ SoftmaxAttributes softmaxAttributes{};
+ softmaxAttributes.beta(descriptor.m_Beta);
+ softmaxAttributes.is_log_softmax(false); // Use Softmax not LogSoftmax
+ int aclAxis = ComputeAclAxis(descriptor.m_Axis, input);
+ softmaxAttributes.axis(aclAxis);
+
+ // Validate operator, check status and update reasonIfUnsupported
+ arm_compute::Status aclStatus = GpuSoftmax::validate_op(sketch,
+ inputInfo,
+ outputInfo,
+ softmaxAttributes);
+
+#ifndef NDEBUG
+ const bool validated = aclStatus.error_code() == arm_compute::ErrorCode::OK;
+ if (!validated)
+ {
+ std::cout << "GpuFsaSoftmaxValidate failed: " << aclStatus.error_description() << std::endl;
+ }
+#endif
+
+ return aclStatus;
+}
+
+void GpuFsaSoftmaxCreateOp(GpuFsaPreCompiledBlob* blob,
+ const TensorInfo& input,
+ const TensorInfo& output,
+ const SoftmaxDescriptor& descriptor)
+{
+ GpuWorkloadSketch* sketch = blob->sketch.get();
+ GpuWorkloadContext* workloadContext = blob->workloadContext.get();
+ std::vector<arm_compute::ITensorInfo*> inputTensorInfos = {};
+ std::vector<arm_compute::ITensorInfo*> outputTensorInfos = {};
+
+ arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, input.GetNumDimensions());
+ arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, output.GetNumDimensions());
+ aclInputInfo.set_are_values_constant(input.IsConstant());
+ aclOutputInfo.set_are_values_constant(output.IsConstant());
+
+ inputTensorInfos.emplace_back(workloadContext->create_tensor_info(aclInputInfo));
+ outputTensorInfos.emplace_back(workloadContext->create_tensor_info(aclOutputInfo));
+
+ // Set Softmax attributes using descriptor
+ SoftmaxAttributes softmaxAttributes{};
+ softmaxAttributes.beta(descriptor.m_Beta); // Only used for LogSoftmax else default
+ softmaxAttributes.is_log_softmax(false); // Use Softmax not LogSoftmax
+ int aclAxis = ComputeAclAxis(descriptor.m_Axis, input);
+ softmaxAttributes.axis(aclAxis);
+
+ // Validate operator, check status and update reasonIfUnsupported
+ arm_compute::Status aclStatus = GpuSoftmax::validate_op(*sketch,
+ inputTensorInfos[0],
+ outputTensorInfos[0],
+ softmaxAttributes);
+ const bool supported = aclStatus.error_code() == arm_compute::ErrorCode::OK;
+ if (!supported)
+ {
+ throw BackendCapabilityException("\"GpuFsa\" backend failed during softmax validation");
+ }
+
+ GpuSoftmax::create_op(*sketch, inputTensorInfos[0], outputTensorInfos[0], softmaxAttributes);
+
+ // Store the TensorInfos within the blob as unique_ptrs to be used later
+ blob->inputTensorInfos = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(inputTensorInfos);
+ blob->outputTensorInfos = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(outputTensorInfos);
+}
+
+} \ No newline at end of file