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Commit c694a4d6 authored by Shucai Xiao's avatar Shucai Xiao
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simply the quantize int8 implementation.

parent 54cbce68
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Showing with 15 additions and 78 deletions
src/quantization.cpp
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...@@ -260,96 +260,33 @@ void quantize_int8(program& prog, ...@@ -260,96 +260,33 @@ void quantize_int8(program& prog,
prog.replace_instruction(ins, op::convert{orig_type}, quant_dot); prog.replace_instruction(ins, op::convert{orig_type}, quant_dot);
} }
} }
// only alpha can be quantized, quantization of beta will cause // either alpha or beta cannot be quantized because of too big
// big error, so we have to manually do the multiplication and // relative rounding error
// addition
else if(fabs(new_alpha) >= threshold)
{
// truncate to the nearest integer
new_alpha = new_alpha > 0.0 ? new_alpha + 0.5 : new_alpha - 0.5;
int32_t quant_alpha = static_cast<int32_t>(new_alpha);
int32_t quant_beta = 0;
if(orig_type == shape::int32_type)
{
if(inputs.size() == 2 or dot_op.beta == 0.0f)
{
prog.replace_instruction(
ins, op::quant_dot{quant_alpha, quant_beta}, converted_inputs);
}
// if there are 3 inputs, we need to consider the third argument
else
{
auto q_dot = prog.insert_instruction(
ins, op::quant_dot{quant_alpha, quant_beta}, converted_inputs);
std::vector<float> vec_beta(q_dot->get_shape().elements(), dot_op.beta);
auto l_beta = prog.add_literal(literal{orig_type, vec_beta});
auto beta_c =
prog.insert_instruction(ins, op::mul{}, l_beta, inputs.back());
prog.replace_instruction(ins, op::add{}, q_dot, beta_c);
}
}
else
{
if(inputs.size() == 2 or dot_op.beta == 0.0f)
{
auto q_dot = prog.insert_instruction(
ins, op::quant_dot{quant_alpha, quant_beta}, converted_inputs);
prog.replace_instruction(ins, op::convert{orig_type}, q_dot);
}
// if there are 3 inputs, we need to consider the third argument
else
{
auto q_dot = prog.insert_instruction(
ins, op::quant_dot{quant_alpha, quant_beta}, converted_inputs);
auto oq_dot = prog.insert_instruction(ins, op::convert{orig_type}, q_dot);
std::vector<float> vec_beta(q_dot->get_shape().elements(), dot_op.beta);
auto l_beta = prog.add_literal(literal{oq_dot->get_shape(), vec_beta});
auto beta_c =
prog.insert_instruction(ins, op::mul{}, l_beta, inputs.back());
prog.replace_instruction(ins, op::add{}, oq_dot, beta_c);
}
}
}
else else
{ {
auto q_dot = prog.insert_instruction(ins, op::quant_dot{1, 0}, converted_inputs); auto q_dot = prog.insert_instruction(ins, op::quant_dot{1, 0}, converted_inputs);
std::vector<float> vec_alpha(q_dot->get_shape().elements(), new_alpha); if (inputs.size() == 3 and dot_op.beta != 0.0f)
if(orig_type == shape::int32_type)
{ {
auto l_alpha = prog.add_literal(literal(ins->get_shape(), vec_alpha)); auto alpha_ab = prog.insert_instruction(ins, op::convert{orig_type, new_alpha, 0.0f}, q_dot);
if(converted_inputs.size() == 2 or dot_op.beta == 0.0f) auto c_shape = q_dot->get_shape();
std::vector<float> vec_beta(c_shape.elements(), dot_op.beta);
auto l_beta = prog.add_literal(literal({shape::float_type, c_shape.lens()}, vec_beta));
instruction_ref beta_c{};
if (orig_type != shape::float_type)
{ {
prog.replace_instruction(ins, op::mul{}, l_alpha, q_dot); auto fp32_c = prog.insert_instruction(ins, op::convert{shape::float_type}, inputs.back());
auto fp32_beta_c = prog.insert_instruction(ins, op::mul{}, l_beta, fp32_c);
beta_c = prog.insert_instruction(ins, op::convert{orig_type}, fp32_beta_c);
} }
// case of 3 arguments
else else
{ {
std::vector<float> vec_beta(ins->get_shape().elements(), new_beta); beta_c = prog.insert_instruction(ins, op::mul{}, l_beta, inputs.back());
auto l_beta = prog.add_literal(literal(ins->get_shape(), vec_beta));
auto alpha_ab = prog.insert_instruction(ins, op::mul{}, l_alpha, q_dot);
auto beta_c =
prog.insert_instruction(ins, op::mul{}, l_beta, inputs.back());
prog.replace_instruction(ins, op::add{}, alpha_ab, beta_c);
} }
prog.replace_instruction(ins, op::add{}, alpha_ab, beta_c);
} }
else else
{ {
auto oq_dot = prog.insert_instruction(ins, op::convert{orig_type}, q_dot); prog.replace_instruction(ins, op::convert{orig_type, new_alpha, 0.0f}, q_dot);
auto l_alpha = prog.add_literal(literal(ins->get_shape(), vec_alpha));
if(converted_inputs.size() == 2 or dot_op.beta == 0.0f)
{
prog.replace_instruction(ins, op::mul{}, l_alpha, oq_dot);
}
// case of 3 arguments
else
{
std::vector<float> vec_beta(ins->get_shape().elements(), new_beta);
auto l_beta = prog.add_literal(literal(ins->get_shape(), vec_beta));
auto alpha_ab = prog.insert_instruction(ins, op::mul{}, l_alpha, oq_dot);
auto beta_c =
prog.insert_instruction(ins, op::mul{}, l_beta, inputs.back());
prog.replace_instruction(ins, op::add{}, alpha_ab, beta_c);
}
} }
} }
} }
......
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