diff --git a/src/common/snippets/src/op/loop.cpp b/src/common/snippets/src/op/loop.cpp index e1a4de9fef8..a77ad04af92 100644 --- a/src/common/snippets/src/op/loop.cpp +++ b/src/common/snippets/src/op/loop.cpp @@ -171,7 +171,6 @@ void LoopEnd::validate_and_infer_types() { if (finalization_offsets.empty()) finalization_offsets.resize(loop_io_size, 0); set_output_size(num_inputs - 1); - const auto& ins = inputs(); // All outputs are by-passed from inputs, except for the last one - it connects LoopBegin and LoopEnd for (int i = 0; i < num_inputs - 1; i++) get_output_descriptor(i).set_tensor_ptr(get_input_descriptor(i).get_output().get_tensor_ptr()); diff --git a/src/plugins/intel_cpu/src/emitters/jit_snippets_emitters.cpp b/src/plugins/intel_cpu/src/emitters/jit_snippets_emitters.cpp index 728c5de139b..3891298de13 100644 --- a/src/plugins/intel_cpu/src/emitters/jit_snippets_emitters.cpp +++ b/src/plugins/intel_cpu/src/emitters/jit_snippets_emitters.cpp @@ -108,12 +108,6 @@ KernelEmitter::KernelEmitter(dnnl::impl::cpu::x64::jit_generator* h, dnnl::impl: jcp = *reinterpret_cast(kernel->compile_params); // calc data access pattern. we'll need it for offsets calculation const auto& model = kernel->model; - const auto get_static_shape = [](const std::shared_ptr& node) { - const auto& pshape = node->get_output_partial_shape(0); - if (pshape.is_dynamic()) - IE_THROW() << "KernelEmitter can't calc offsets for dynamic shapes"; - return pshape.get_shape(); - }; const auto get_data_layout = [](const Output& out, std::vector& shape) { const auto& layout = ngraph::snippets::utils::get_node_output_layout(out.get_node_shared_ptr()); // default access pattern @@ -1061,7 +1055,6 @@ void HorizonMaxEmitter::emit_isa(const std::vector &in, const std::vecto Xmm aux_xmm = Xmm(aux_vec_idxs[0]); Reg64 aux_reg = Reg64(aux_gpr_idxs[0]); - Reg32 aux_reg_32 = Reg32(aux_reg.getIdx()); const size_t vlen = dnnl::impl::cpu::x64::cpu_isa_traits::vlen; const size_t vec_size = vlen / sizeof(float); @@ -1107,7 +1100,6 @@ void HorizonSumEmitter::emit_isa(const std::vector &in, const std::vecto Xmm aux_xmm = Xmm(aux_vec_idxs[0]); Reg64 aux_reg = Reg64(aux_gpr_idxs[0]); - Reg32 aux_reg_32 = Reg32(aux_reg.getIdx()); const size_t vlen = dnnl::impl::cpu::x64::cpu_isa_traits::vlen; const size_t vec_size = vlen / sizeof(float);