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未验证 提交 753964a2 编写于 作者: J joanna.wozna.intel 提交者： GitHub
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Correct MultipleQuantizeSquash (#40717) 

* Correct MultipleQuantizeSquash

* Correct logging
上级 99541895
隐藏空白更改
内联 并排
Showing with 82 addition and 73 deletion
paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.cc
浏览文件 @ 753964a2
......@@ -39,12 +39,13 @@ void UnlinkNodes(ir::Node* a, ir::Node* b) {
b->inputs.end());
}
void LogCannotQuantizeOp(Node* op, const char* details = nullptr) {
void MarkAndLogCannotQuantizeOp(Node* op, const char* details = nullptr) {
std::stringstream msg_ss;
msg_ss << "Cannot quantize operator " << op->Name()
<< " (type: " << op->Op()->Type() << ", id: " << op->id() << ").";
if (details) msg_ss << " " << details;
PrettyLogDetail(msg_ss.str().c_str());
VLOG(2) << msg_ss.str().c_str();
op->Op()->SetAttr("mkldnn_data_type", std::string("float32"));
}
void LogScaleIsMissingForVarName(const std::string& name) {
......@@ -56,12 +57,19 @@ void LogScaleIsMissingForVarNode(Node* node) {
}
void LogQuantizationDisabled(Node* op) {
std::stringstream msg_ss;
VLOG(4) << "Qantization skipped for operator " << op->Name()
VLOG(2) << "Quantization skipped for operator " << op->Name()
<< " (type: " << op->Op()->Type() << ", id: " << op->id()
<< "). Attribute mkldnn_data_type != \"int8\".";
}
void LogQuantizedOpsCounter(const std::string& type, const int counter,
const char* details = nullptr) {
std::stringstream msg_ss;
msg_ss << "--- quantized " << counter << " " << type << " ops";
if (details) msg_ss << " " << details;
PrettyLogDetail(msg_ss.str().c_str());
}
} // namespace
enum { U8_MAX = 255, S8_MAX = 127 };
......@@ -307,9 +315,10 @@ void CPUQuantizePass::QuantizeConv(Graph* graph,
auto has_output_scale = AreScalesPresentForNodes({conv_output});
if (with_residual_data && !has_output_scale) {
LogCannotQuantizeOp(conv_op,
"Conv op with ResidualData input cannot be quantized "
"without output scale.");
MarkAndLogCannotQuantizeOp(
conv_op,
"Conv op with ResidualData input cannot be quantized "
"without output scale.");
return;
}
......@@ -318,7 +327,8 @@ void CPUQuantizePass::QuantizeConv(Graph* graph,
conv_pattern);
if (!AreScalesPresentForNodes(
{conv_input, conv_filter, conv_residual_data})) {
LogCannotQuantizeOp(conv_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(conv_op,
"No scale available for the operator");
return;
}
......@@ -330,7 +340,8 @@ void CPUQuantizePass::QuantizeConv(Graph* graph,
residual_scale, is_residual_unsigned, "Scale_in_eltwise");
} else {
if (!AreScalesPresentForNodes({conv_input, conv_filter})) {
LogCannotQuantizeOp(conv_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(conv_op,
"No scale available for the operator");
return;
}
}
......@@ -377,10 +388,9 @@ void CPUQuantizePass::QuantizeConv(Graph* graph,
gpd(graph, handler);
AddStatis(quantize_conv_count);
std::stringstream msg_ss;
msg_ss << "--- quantized " << quantize_conv_count << " conv2d ops";
if (with_residual_data) msg_ss << " with residual connection";
PrettyLogDetail(msg_ss.str().c_str());
LogQuantizedOpsCounter(
"conv2d", quantize_conv_count,
((with_residual_data) ? "with residual connection" : ""));
}
void CPUQuantizePass::QuantizeFc(Graph* graph) const {
......@@ -405,7 +415,7 @@ void CPUQuantizePass::QuantizeFc(Graph* graph) const {
return;
}
if (!fc->Op()->GetAttrIfExists<bool>("use_mkldnn")) {
LogCannotQuantizeOp(fc, "use_mkldnn attribute set to false");
MarkAndLogCannotQuantizeOp(fc, "use_mkldnn attribute set to false");
return;
}
......@@ -414,7 +424,7 @@ void CPUQuantizePass::QuantizeFc(Graph* graph) const {
GET_IR_NODE_FROM_SUBGRAPH(output, output, fc_pattern);
if (!AreScalesPresentForNodes({input, weights})) {
LogCannotQuantizeOp(fc, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(fc, "No scale available for the operator");
return;
}
......@@ -448,10 +458,7 @@ void CPUQuantizePass::QuantizeFc(Graph* graph) const {
gpd(graph, handler);
AddStatis(quantize_fc_count);
std::stringstream msg_ss;
msg_ss << "--- quantized " << quantize_fc_count << " fc ops";
PrettyLogDetail(msg_ss.str().c_str());
LogQuantizedOpsCounter("fc", quantize_fc_count);
}
void CPUQuantizePass::QuantizePool(Graph* graph) const {
......@@ -476,7 +483,8 @@ void CPUQuantizePass::QuantizePool(Graph* graph) const {
GET_IR_NODE_FROM_SUBGRAPH(pool_output, pool_output, pool_pattern);
if (!AreScalesPresentForNodes({pool_input, pool_output})) {
LogCannotQuantizeOp(pool_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(pool_op,
"No scale available for the operator");
return;
}
......@@ -494,8 +502,7 @@ void CPUQuantizePass::QuantizePool(Graph* graph) const {
gpd(graph, handler);
AddStatis(quantize_pool_count);
PrettyLogDetail("--- quantized %d pool2d ops", quantize_pool_count);
LogQuantizedOpsCounter("pool2d", quantize_pool_count);
}
void CPUQuantizePass::QuantizeConcat(Graph* graph) const {
......@@ -519,7 +526,8 @@ void CPUQuantizePass::QuantizeConcat(Graph* graph) const {
GET_IR_NODE_FROM_SUBGRAPH(concat_out, concat_out, concat_pattern);
if (!AreScalesPresentForNodes({concat_out})) {
LogCannotQuantizeOp(concat_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(concat_op,
"No scale available for the operator");
return;
}
......@@ -539,8 +547,7 @@ void CPUQuantizePass::QuantizeConcat(Graph* graph) const {
gpd(graph, handler);
AddStatis(quantize_concat_count);
PrettyLogDetail("--- quantized %d concat ops", quantize_concat_count);
LogQuantizedOpsCounter("concat", quantize_concat_count);
}
void CPUQuantizePass::QuantizePriorBox(Graph* graph) const {
......@@ -565,7 +572,8 @@ void CPUQuantizePass::QuantizePriorBox(Graph* graph) const {
prior_box_pattern);
if (!AreScalesPresentForNodes({prior_box_input})) {
LogCannotQuantizeOp(prior_box_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(prior_box_op,
"No scale available for the operator");
return;
}
......@@ -580,9 +588,7 @@ void CPUQuantizePass::QuantizePriorBox(Graph* graph) const {
gpd(graph, handler);
AddStatis(quantize_prior_box_count);
PrettyLogDetail("--- quantized %d prior_box ops",
quantize_prior_box_count);
LogQuantizedOpsCounter("prior_box", quantize_prior_box_count);
}
void CPUQuantizePass::QuantizeTranspose(Graph* graph) const {
......@@ -608,13 +614,14 @@ void CPUQuantizePass::QuantizeTranspose(Graph* graph) const {
// skip if prev op and next op is not quantized
if (!(IsOpDequantized(prev_op)) && !(IsOpQuantized(transpose_out))) {
LogCannotQuantizeOp(transpose_op,
"No other quantizable operators nearby");
MarkAndLogCannotQuantizeOp(transpose_op,
"No other quantizable operators nearby");
return;
}
if (!AreScalesPresentForNodes({transpose_in, transpose_out})) {
LogCannotQuantizeOp(transpose_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(transpose_op,
"No scale available for the operator");
return;
}
......@@ -634,9 +641,7 @@ void CPUQuantizePass::QuantizeTranspose(Graph* graph) const {
gpd(graph, handler);
AddStatis(quantize_transpose_count);
PrettyLogDetail("--- quantized %d transpose ops",
quantize_transpose_count);
LogQuantizedOpsCounter("transpose2", quantize_transpose_count);
}
void CPUQuantizePass::QuantizeReshape(Graph* graph) const {
......@@ -662,12 +667,14 @@ void CPUQuantizePass::QuantizeReshape(Graph* graph) const {
// skip if prev op is not quantized
if (!(IsOpDequantized(prev_op)) && !(IsOpQuantized(reshape_out))) {
LogCannotQuantizeOp(reshape_op, "No other quantizable operators nearby");
MarkAndLogCannotQuantizeOp(reshape_op,
"No other quantizable operators nearby");
return;
}
if (!AreScalesPresentForNodes({reshape_in, reshape_out})) {
LogCannotQuantizeOp(reshape_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(reshape_op,
"No scale available for the operator");
return;
}
......@@ -686,8 +693,7 @@ void CPUQuantizePass::QuantizeReshape(Graph* graph) const {
gpd(graph, handler);
AddStatis(quantize_reshape_count);
PrettyLogDetail("--- quantized %d reshape ops", quantize_reshape_count);
LogQuantizedOpsCounter("reshape2", quantize_reshape_count);
}
void CPUQuantizePass::QuantizeSlice(Graph* graph) const {
......@@ -713,12 +719,14 @@ void CPUQuantizePass::QuantizeSlice(Graph* graph) const {
// skip if prev op and next op is not quantized
if (!IsOpDequantized(prev_op) && !IsOpQuantized(slice_out)) {
LogCannotQuantizeOp(slice_op, "No other quantizable operators nearby");
MarkAndLogCannotQuantizeOp(slice_op,
"No other quantizable operators nearby");
return;
}
if (!AreScalesPresentForNodes({slice_out})) {
LogCannotQuantizeOp(slice_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(slice_op,
"No scale available for the operator");
return;
}
......@@ -737,8 +745,7 @@ void CPUQuantizePass::QuantizeSlice(Graph* graph) const {
gpd(graph, handler);
AddStatis(quantize_slice_count);
PrettyLogDetail("--- quantized %d slice ops", quantize_slice_count);
LogQuantizedOpsCounter("slice", quantize_slice_count);
}
void CPUQuantizePass::QuantizeMatmul(Graph* graph) const {
......@@ -763,7 +770,8 @@ void CPUQuantizePass::QuantizeMatmul(Graph* graph) const {
// skip if prev ops are not quantized
if (!IsOpDequantized(prev_op_x) || !IsOpDequantized(prev_op_y)) {
LogCannotQuantizeOp(matmul_op, "No other quantizable operators nearby");
MarkAndLogCannotQuantizeOp(matmul_op,
"No other quantizable operators nearby");
return;
}
GET_IR_NODE_FROM_SUBGRAPH(matmul_in_x, matmul_in_x, matmul_pattern);
......@@ -771,7 +779,8 @@ void CPUQuantizePass::QuantizeMatmul(Graph* graph) const {
GET_IR_NODE_FROM_SUBGRAPH(matmul_out, matmul_out, matmul_pattern);
if (!AreScalesPresentForNodes({matmul_in_x, matmul_in_y})) {
LogCannotQuantizeOp(matmul_op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(matmul_op,
"No scale available for the operator");
return;
}
......@@ -803,8 +812,7 @@ void CPUQuantizePass::QuantizeMatmul(Graph* graph) const {
};
gpd(graph, handler);
AddStatis(quantize_matmul_count);
PrettyLogDetail("--- quantized %d matmul ops", quantize_matmul_count);
LogQuantizedOpsCounter("matmul", quantize_matmul_count);
}
void CPUQuantizePass::QuantizeElementwise(
......@@ -840,8 +848,8 @@ void CPUQuantizePass::QuantizeElementwise(
if (!AreScalesPresentForNodes(
{elementwise_x, elementwise_y, elementwise_out})) {
LogCannotQuantizeOp(elementwise_op,
"No scale available for the operator");
MarkAndLogCannotQuantizeOp(elementwise_op,
"No scale available for the operator");
return;
}
......@@ -851,8 +859,8 @@ void CPUQuantizePass::QuantizeElementwise(
// TODO(sfraczek): add support for different signness
if (is_x_unsigned != is_y_unsigned) {
LogCannotQuantizeOp(elementwise_op,
"Elementwise inputs must be of the same type.");
MarkAndLogCannotQuantizeOp(
elementwise_op, "Elementwise inputs must be of the same type.");
return;
}
......@@ -872,9 +880,7 @@ void CPUQuantizePass::QuantizeElementwise(
};
gpd(graph, handler);
AddStatis(quantize_elementwise_count);
PrettyLogDetail("--- quantized %d %s ops", quantize_elementwise_count,
elementwise_type);
LogQuantizedOpsCounter(elementwise_type, quantize_elementwise_count);
}
void CPUQuantizePass::QuantizeFusionGru(Graph* graph) const {
......@@ -900,7 +906,7 @@ void CPUQuantizePass::QuantizeFusionGru(Graph* graph) const {
GET_IR_NODE_FROM_SUBGRAPH(out, out, pattern);
if (!AreScalesPresentForNodes({x, weight_x})) {
LogCannotQuantizeOp(op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(op, "No scale available for the operator");
return;
}
......@@ -929,8 +935,7 @@ void CPUQuantizePass::QuantizeFusionGru(Graph* graph) const {
};
gpd(graph, handler);
AddStatis(quantize_count);
PrettyLogDetail("--- quantized %d fusion_gru ops", quantize_count);
LogQuantizedOpsCounter("fusion_gru", quantize_count);
}
void CPUQuantizePass::QuantizeMultiGru(Graph* graph) const {
......@@ -957,7 +962,7 @@ void CPUQuantizePass::QuantizeMultiGru(Graph* graph) const {
auto wx_names = gru->Op()->Input("WeightX");
if (!AreScalesPresentForNodes({x}) ||
!AreScalesPresentForVarNames(wx_names)) {
LogCannotQuantizeOp(gru, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(gru, "No scale available for the operator");
return;
}
......@@ -1007,8 +1012,7 @@ void CPUQuantizePass::QuantizeMultiGru(Graph* graph) const {
};
gpd(graph, handler);
AddStatis(quantize_count);
PrettyLogDetail("--- quantized %d multi_gru ops", quantize_count);
LogQuantizedOpsCounter("multi_gru", quantize_count);
}
void CPUQuantizePass::QuantizeFusionLSTM(Graph* graph) const {
......@@ -1036,7 +1040,7 @@ void CPUQuantizePass::QuantizeFusionLSTM(Graph* graph) const {
// Starting from here there maybe issues
if (!AreScalesPresentForNodes({x, weight_x})) {
LogCannotQuantizeOp(op, "No scale available for the operator");
MarkAndLogCannotQuantizeOp(op, "No scale available for the operator");
return;
}
......@@ -1065,8 +1069,7 @@ void CPUQuantizePass::QuantizeFusionLSTM(Graph* graph) const {
};
gpd(graph, handler);
AddStatis(quantize_count);
PrettyLogDetail("--- quantized %d fusion_lstm ops", quantize_count);
LogQuantizedOpsCounter("fusion_lstm", quantize_count);
}
void CPUQuantizePass::QuantizeNearestInterp(Graph* graph) const {
......@@ -1095,14 +1098,14 @@ void CPUQuantizePass::QuantizeNearestInterp(Graph* graph) const {
// skip if prev op and next op is not quantized
if (!(IsOpDequantized(prev_op)) && !(IsOpQuantized(nearest_interp_out))) {
LogCannotQuantizeOp(nearest_interp_op,
"No other quantizable operators nearby");
MarkAndLogCannotQuantizeOp(nearest_interp_op,
"No other quantizable operators nearby");
return;
}
if (!AreScalesPresentForNodes({nearest_interp_in, nearest_interp_out})) {
LogCannotQuantizeOp(nearest_interp_op,
"No scale available for the operator");
MarkAndLogCannotQuantizeOp(nearest_interp_op,
"No scale available for the operator");
return;
}
......@@ -1123,9 +1126,7 @@ void CPUQuantizePass::QuantizeNearestInterp(Graph* graph) const {
gpd(graph, handler);
AddStatis(quantize_nearest_interp_count);
PrettyLogDetail("--- quantized %d nearest_interp ops",
quantize_nearest_interp_count);
LogQuantizedOpsCounter("nearest_interp", quantize_nearest_interp_count);
}
void CPUQuantizePass::ApplyImpl(ir::Graph* graph) const {
......
paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.cc
浏览文件 @ 753964a2
......@@ -434,9 +434,17 @@ void CPUQuantizeSquashPass::MultipleQuantizeSquash(Graph* graph) const {
platform::errors::NotFound("Operator after quantize operator(%s) "
"should has quantize output as input.",
quant_out->Name()));
last_op->Op()->SetInput(
last_op_input_name,
std::vector<std::string>({first_quant_out->Name()}));
// update the next operator input,
// by replacing quant_out with first_quant_out
auto last_op_names = last_op->Op()->Input(last_op_input_name);
last_op_names.erase(std::remove(last_op_names.begin(),
last_op_names.end(), quant_out->Name()),
last_op_names.end());
last_op_names.push_back(first_quant_out->Name());
last_op->Op()->SetInput(last_op_input_name,
std::vector<std::string>(last_op_names));
IR_NODE_LINK_TO(first_quant_out, last_op);
GraphSafeRemoveNodes(graph, {quant_op, quant_out});
removed_quantize++;
......
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