Here is a list of all functions with links to the classes they belong to:

- v -

• valid() : Mila::Dnn::GenerationStatistics
• validate() : Mila::Data::BpeVocabularyConfig, Mila::Data::CharVocabularyConfig, Mila::Dnn::ComponentConfig, Mila::Dnn::CrossEntropyConfig, Mila::Dnn::DropoutConfig, Mila::Dnn::GeluConfig, Mila::Dnn::GptBlockConfig, Mila::Dnn::GptConfig, Mila::Dnn::GqaConfig, Mila::Dnn::LayerNormConfig, Mila::Dnn::LinearConfig, Mila::Dnn::LlamaConfig, Mila::Dnn::LpeConfig, Mila::Dnn::MLPConfig, Mila::Dnn::MultiHeadAttentionConfig, Mila::Dnn::Optimizers::AdamWConfig, Mila::Dnn::ResidualConfig, Mila::Dnn::RmsNormConfig, Mila::Dnn::RopeConfig, Mila::Dnn::SoftmaxConfig, Mila::Dnn::SwigluConfig, Mila::Dnn::TokenEmbeddingConfig
• validateBuildContext() : Mila::Dnn::GptBlock< TDeviceType, TPrecision >, Mila::Dnn::GptTransformer< TDeviceType, TPrecision >, Mila::Dnn::LayerNorm< TDeviceType, TPrecision >, Mila::Dnn::Linear< TDeviceType, TComputePrecision, TWeightQuant >, Mila::Dnn::LlamaBlock< TDeviceType, TPrecision, TWeightQuant, TKvPolicy >, Mila::Dnn::LlamaTransformer< TDeviceType, TPrecision, TWeightQuantization, TKvCachePolicy >, Mila::Dnn::Rope< TDeviceType, TPrecision >, Mila::Dnn::Swiglu< TDeviceType, TPrecision >, Mila::Dnn::TokenEmbedding< TDeviceType, TIndex, TPrecision >
• validateConcatenatedQKVShape() : Mila::Dnn::GroupedQueryAttention< TDeviceType, TComputePrecision, TKvPolicy >, Mila::Dnn::MultiHeadAttention< TDeviceType, TPrecision >
• validateCurrentBatch() : Mila::Data::DataLoader< TInputDataType, TTargetDataType, TMemoryResource >
• validateDecodeInputShape() : Mila::Dnn::Compute::Cuda::Gqa::CudaGqaOp< TPrecision >, Mila::Dnn::Compute::Cuda::MultiHeadAttention::CudaMultiHeadAttentionOp< TPrecision >
• validateDevice() : Mila::Dnn::Compute::ExecutionContext< DeviceType::Metal >, Mila::Dnn::Compute::ExecutionContext< DeviceType::Vulkan >
• validateDeviceId() : Mila::Data::TokenSequenceLoader< TMemoryResource >, Mila::Dnn::Compute::CudaDevice, Mila::Dnn::Compute::ExecutionContext< DeviceType::Cuda >, Mila::Dnn::Tensor< TDataType, TMemoryResource >
• validateDeviceIndex() : Mila::Dnn::Compute::VulkanDevice
• validateHyperparameters() : Mila::Dnn::Compute::CudaAdamWOptimizer< TPrecision >
• validateIndices() : Mila::Dnn::Tensor< TDataType, TMemoryResource >
• validateInputShape() : Mila::Dnn::Compute::CpuAttentionOp, Mila::Dnn::Compute::CpuEncoderOp, Mila::Dnn::Compute::CpuLayerNormOp, Mila::Dnn::Compute::Cuda::Gqa::CudaGqaOp< TPrecision >, Mila::Dnn::Compute::Cuda::Lpe::CudaLpeOp< TInput, TPrecision >, Mila::Dnn::Compute::Cuda::MultiHeadAttention::CudaMultiHeadAttentionOp< TPrecision >, Mila::Dnn::Compute::Cuda::TokenEmbedding::CudaTokenEmbeddingOp< TInput, TPrecision >, Mila::Dnn::GptBlock< TDeviceType, TPrecision >, Mila::Dnn::GptTransformer< TDeviceType, TPrecision >, Mila::Dnn::LayerNorm< TDeviceType, TPrecision >, Mila::Dnn::Linear< TDeviceType, TComputePrecision, TWeightQuant >, Mila::Dnn::LlamaBlock< TDeviceType, TPrecision, TWeightQuant, TKvPolicy >, Mila::Dnn::Lpe< TDeviceType, TIndex, TPrecision >, Mila::Dnn::MLP< TDeviceType, TPrecision >, Mila::Dnn::RmsNorm< TDeviceType, TPrecision >, Mila::Dnn::Softmax< TDeviceType, TPrecision >, Mila::Dnn::SoftmaxCrossEntropy< TDeviceType, TLogits, TTargets, TPrecision >
• validateLeadingShape() : Mila::Dnn::LlamaTransformer< TDeviceType, TPrecision, TWeightQuantization, TKvCachePolicy >
• validateMetadata_() : Mila::Dnn::Gelu< TDeviceType, TPrecision >, Mila::Dnn::Swiglu< TDeviceType, TPrecision >
• validateName() : Mila::Dnn::Component< TDeviceType, TPrecision >
• validateNormalizedShape_() : Mila::Dnn::Compute::Cuda::LayerNorm::CudaLayerNormOp< TPrecision >
• validatePrefillInputShape() : Mila::Dnn::Compute::Cuda::Gqa::CudaGqaOp< TPrecision >, Mila::Dnn::Compute::Cuda::MultiHeadAttention::CudaMultiHeadAttentionOp< TPrecision >
• validateRuntimeShape() : Mila::Dnn::Compute::Cuda::Rope::CudaRopeOp< TComputePrecision >, Mila::Dnn::Compute::Cuda::TokenEmbedding::CudaTokenEmbeddingOp< TInput, TPrecision >
• validateRuntimeShape_() : Mila::Dnn::Compute::Cuda::LayerNorm::CudaLayerNormOp< TPrecision >
• validateShapeCompatibility() : Mila::Dnn::Compute::Cpu::MathOps
• validateShapeConsistency() : Mila::Dnn::Compute::CpuLayerNormOp
• verifyArchitectureCompatibility() : Mila::Dnn::Network< TDeviceType, TPrecision >
• Version() : Mila::Version
• view() : Mila::Dnn::Tensor< TDataType, TMemoryResource >
• vocabSize() : Mila::Dnn::GptModel< TDeviceType, TPrecision >, Mila::Dnn::LanguageModel< TDeviceType, TPrecision >, Mila::Dnn::LlamaModel< TDeviceType, TPrecision >
• VulkanDevice() : Mila::Dnn::Compute::VulkanDevice
• VulkanMemoryResource() : Mila::Dnn::Compute::VulkanMemoryResource