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Parallelize the quantization conversion operators #45536

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Parallelize the quantization conversion operators #45536

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20 changes: 16 additions & 4 deletions aten/src/ATen/native/quantized/cpu/qembeddingbag_prepack.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -142,8 +142,14 @@ Tensor qembeddingbag_byte_prepack(const Tensor& weight) {
auto* output_data = output.data_ptr<uint8_t>();

#ifdef USE_FBGEMM
fbgemm::FloatToFused8BitRowwiseQuantizedSBFloat(
weight_data, embedding_rows, embedding_cols, output_data);
at::parallel_for(
0, embedding_rows, 1, [&](int32_t start_idx, int32_t end_idx) {
for (int64_t row = start_idx; row < end_idx; ++row) {
fbgemm::FloatToFused8BitRowwiseQuantizedSBFloat(
weight_data + row * embedding_cols, 1,
embedding_cols, output_data + row * output_shape[1]);
}
});
#else
size_t output_columns = output_shape[1];
constexpr float kEpsilon = 1e-8f;
Expand Down Expand Up @@ -213,8 +219,14 @@ Tensor _qembeddingbag_nbit_prepack_helper(

#ifdef USE_FBGEMM
if (!optimized_qparams) {
fbgemm::FloatToFusedNBitRowwiseQuantizedSBHalf(
bit_width, weight_data, embedding_rows, embedding_cols, output_data);
at::parallel_for(
0, embedding_rows, 1, [&](int32_t start_idx, int32_t end_idx) {
for (int64_t row = start_idx; row < end_idx; ++row) {
fbgemm::FloatToFusedNBitRowwiseQuantizedSBHalf(
bit_width, weight_data + row * embedding_cols, 1,
embedding_cols, output_data + row * output_shape[1]);
}
});
} else {
#endif // USE_FBGEMM
const auto output_columns = output.size(output.dim() - 1);
Expand Down
24 changes: 20 additions & 4 deletions aten/src/ATen/native/quantized/cpu/qembeddingbag_unpack.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -106,8 +106,16 @@ Tensor qembeddingbag_byte_unpack(const Tensor& packed_weight) {
float* output_data = output.data_ptr<float>();

#ifdef USE_FBGEMM
fbgemm::Fused8BitRowwiseQuantizedSBFloatToFloat(
input, input_rows, input_columns, output_data);
at::parallel_for(
0, input_rows, 1, [&](int32_t start_idx, int32_t end_idx) {
for (int64_t row = start_idx; row < end_idx; ++row) {
fbgemm::Fused8BitRowwiseQuantizedSBFloatToFloat(
input + row * input_columns,
1,
input_columns,
output_data + row * output_columns);
}
});
#else
for (std::size_t row = 0; row < input_rows; ++row) {
const std::uint8_t* input_row = input + row * input_columns;
Expand Down Expand Up @@ -145,8 +153,16 @@ Tensor _qembeddingbag_nbit_unpack_helper(
packed_weight.suggest_memory_format());
float* output_data = output.data_ptr<float>();
#ifdef USE_FBGEMM
fbgemm::FusedNBitRowwiseQuantizedSBHalfToFloat(
BIT_RATE, input_data, input_rows, input_columns, output_data);
at::parallel_for(
0, input_rows, 1, [&](int32_t start_idx, int32_t end_idx) {
for (int64_t row = start_idx; row < end_idx; ++row) {
fbgemm::FusedNBitRowwiseQuantizedSBHalfToFloat(BIT_RATE,
input_data + row * input_columns,
1,
input_columns,
output_data + row * output_dimensions[1]);
}
});
#else
auto output_columns = output_dimensions[1];
for (size_t row = 0; row < input_rows; ++row) {
Expand Down