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193 lines
8.5 KiB
C++
193 lines
8.5 KiB
C++
// Copyright © Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include <optional>
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#include <string>
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#include <unordered_map>
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#include <hipdnn_plugin_sdk/PluginLogging.hpp>
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#include <hip/hip_runtime.h>
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#include <hipdnn_data_sdk/types.hpp>
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#include <hipdnn_flatbuffers_sdk/data_objects/pointwise_attributes_generated.h>
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#include <hipdnn_flatbuffers_sdk/data_objects/tensor_attributes_generated.h>
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#include <hipdnn_flatbuffers_sdk/flatbuffer_utilities/FlatbufferTypeHelpers.hpp>
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#include <hipdnn_flatbuffers_sdk/utilities/FlatbufferUtils.hpp>
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#include <hipdnn_plugin_sdk/PluginDeviceBuffers.hpp>
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#include <hipdnn_plugin_sdk/PluginException.hpp>
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#include <hipdnn_plugin_sdk/RuntimePassByValue.hpp>
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#include <miopen/miopen.h>
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#include "MiopenTensor.hpp"
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#define LOG_ON_MIOPEN_FAILURE(status) \
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do \
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{ \
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if((status) != miopenStatusSuccess) \
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{ \
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HIPDNN_PLUGIN_LOG_ERROR("MIOpen error occurred: " << miopenGetErrorString(status)); \
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} \
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} while(0)
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#define THROW_ON_MIOPEN_FAILURE(status) \
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do \
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{ \
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if((status) != miopenStatusSuccess) \
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{ \
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throw hipdnn_plugin_sdk::HipdnnPluginException( \
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HIPDNN_PLUGIN_STATUS_INTERNAL_ERROR, \
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"MIOpen error occurred: " + std::string(miopenGetErrorString(status))); \
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} \
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} while(0)
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/// @brief RAII guard for setting MIOpen tuning policy on a handle.
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///
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/// This class saves the current tuning policy, sets a new one based on the
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/// benchmarking flag, and restores the original policy upon destruction.
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/// This ensures that tuning policy changes don't leak to subsequent operations.
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///
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/// When benchmarking is enabled, uses miopenTuningPolicySearch (3) rather than
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/// miopenTuningPolicySearchDbUpdate (4). The difference:
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/// - Search (3): Uses cached results if available, searches only on cache miss
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/// - SearchDbUpdate (4): Always re-searches, ignoring cached results
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///
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/// Search (3) matches PyTorch's benchmark=true behavior: first run searches and
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/// caches, subsequent runs with same config use the cached optimal kernel.
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/// This is more efficient for production use.
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class ScopedTuningPolicy
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{
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public:
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/// @brief Construct and set the tuning policy on the handle.
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/// @param handle The MIOpen handle to set the policy on.
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/// @param benchmarkingEnabled If true, sets policy to miopenTuningPolicySearch.
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/// If false, sets policy to miopenTuningPolicyNone.
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ScopedTuningPolicy(miopenHandle_t handle, bool benchmarkingEnabled)
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: _handle(handle)
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{
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// Save original policy
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auto status = miopenGetTuningPolicy(_handle, &_originalPolicy);
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if(status != miopenStatusSuccess)
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{
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HIPDNN_PLUGIN_LOG_ERROR(
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"Failed to get tuning policy: " << miopenGetErrorString(status));
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_originalPolicy = miopenTuningPolicyNone; // Fallback
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}
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// Set new policy: Search (3) for benchmarking, None (1) otherwise
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auto policy = benchmarkingEnabled ? miopenTuningPolicySearch : miopenTuningPolicyNone;
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status = miopenSetTuningPolicy(_handle, policy);
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if(status != miopenStatusSuccess)
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{
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HIPDNN_PLUGIN_LOG_ERROR(
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"Failed to set tuning policy: " << miopenGetErrorString(status));
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}
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else
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{
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HIPDNN_PLUGIN_LOG_INFO("Tuning policy set to "
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<< static_cast<int>(policy)
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<< " (benchmarking=" << benchmarkingEnabled << ")");
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}
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}
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/// @brief Destructor restores tuning policy to original value.
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~ScopedTuningPolicy()
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{
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auto status = miopenSetTuningPolicy(_handle, _originalPolicy);
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if(status != miopenStatusSuccess)
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{
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HIPDNN_PLUGIN_LOG_ERROR(
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"Failed to restore tuning policy: " << miopenGetErrorString(status));
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}
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else
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{
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HIPDNN_PLUGIN_LOG_INFO("Tuning policy restored to "
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<< static_cast<int>(_originalPolicy));
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}
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}
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// Non-copyable
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ScopedTuningPolicy(const ScopedTuningPolicy&) = delete;
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ScopedTuningPolicy& operator=(const ScopedTuningPolicy&) = delete;
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// Non-movable
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ScopedTuningPolicy(ScopedTuningPolicy&&) = delete;
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ScopedTuningPolicy& operator=(ScopedTuningPolicy&&) = delete;
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private:
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miopenHandle_t _handle;
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miopenTuningPolicy_t _originalPolicy{miopenTuningPolicyNone};
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};
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#define HIPDNN_PREPEND_MESSAGE_ON_THROW(statement, message) \
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do \
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{ \
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try \
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{ \
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statement; \
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} \
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catch(const hipdnn_plugin_sdk::HipdnnPluginException& error) \
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{ \
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throw hipdnn_plugin_sdk::HipdnnPluginException(error.getStatus(), \
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(message) + error.getMessage()); \
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} \
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} while(0)
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namespace miopen_plugin::miopen_utils
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{
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struct ActivationParams
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{
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miopenActivationMode_t mode;
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double alpha;
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double beta;
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double gamma;
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};
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ActivationParams mapPointwiseModeToMiopenActivation(
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const hipdnn_flatbuffers_sdk::data_objects::PointwiseAttributes& attrs);
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miopenDataType_t
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tensorDataTypeToMiopenDataType(const hipdnn_flatbuffers_sdk::data_objects::DataType& dataType);
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const hipdnn_flatbuffers_sdk::data_objects::TensorAttributes& findTensorAttributes(
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const std::unordered_map<int64_t,
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const hipdnn_flatbuffers_sdk::data_objects::TensorAttributes*>&
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tensorMap,
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int64_t uid);
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MiopenTensor createTensor(
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const std::unordered_map<int64_t,
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const hipdnn_flatbuffers_sdk::data_objects::TensorAttributes*>&
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tensorMap,
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int64_t uid);
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/// @brief Creates a MiopenTensor with automatic 3D→4D padding for batchnorm.
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///
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/// If the tensor has 3 dimensions, it will be padded to 4D before creating
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/// the MIOpen descriptor. 4D and 5D tensors are passed through unchanged.
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///
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/// @param tensorMap Map of tensor UIDs to TensorAttributes
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/// @param uid The tensor UID to look up
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/// @return MiopenTensor with potentially padded descriptor
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MiopenTensor createBatchnormTensor(
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const std::unordered_map<int64_t,
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const hipdnn_flatbuffers_sdk::data_objects::TensorAttributes*>&
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tensorMap,
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int64_t uid);
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size_t getSpatialDimCount(const hipdnn_flatbuffers_sdk::data_objects::TensorAttributes& attr);
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/// @brief Returns the GPU architecture string (e.g., "gfx942") for the
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/// device backing the given HIP stream. Strips any feature suffix such
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/// as ":xnack+".
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/// @throws hipdnn_plugin_sdk::HipdnnPluginException on HIP failure.
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std::string getDeviceArch(hipStream_t stream);
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using hipdnn_flatbuffers_sdk::utilities::extractDoubleFromTensorValue;
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using hipdnn_flatbuffers_sdk::utilities::extractValueFromTensorValue;
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} // namespace miopen_plugin::miopen_utils
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