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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-09-07 10:51:27 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | fd7e8531b1eddf28d4f80d1423ca506ed1b7fa06 (patch) | |
| tree | c00c84da9a125621159473baf95def6090258bbb /arm_compute/graph | |
| parent | 7cd7021bcd6c2fcfea164a01245dc43ade2bbe68 (diff) | |
| download | ComputeLibrary-fd7e8531b1eddf28d4f80d1423ca506ed1b7fa06.tar.gz | |
COMPMID-1451: Print output quant info
Change-Id: I2398d827ffc9bbfec1310897c4e754f16fa1a269
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/147308
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/graph')
| -rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 40 |
1 files changed, 32 insertions, 8 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 4a3f001671..bf458ae33f 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -259,7 +259,9 @@ std::unique_ptr<IFunction> create_convolution_layer(ConvolutionLayerNode &node, typename TargetInfo::TensorType *biases = get_backing_tensor<TargetInfo>(node.input(2)); typename TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0)); - if(is_data_type_quantized_asymmetric(input->info()->data_type())) + const bool is_quantized = is_data_type_quantized_asymmetric(input->info()->data_type()); + + if(is_quantized) { biases->info()->set_data_type(DataType::S32); } @@ -304,12 +306,18 @@ std::unique_ptr<IFunction> create_convolution_layer(ConvolutionLayerNode &node, } // Log info + std::ostringstream qss; + if(is_quantized) + { + qss << " Input QuantInfo: " << input->info()->quantization_info() + << " Weights QuantInfo: " << weights->info()->quantization_info() + << " Output QuantInfo: " << output->info()->quantization_info(); + } ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << func_name << " Target " << TargetInfo::TargetType << " Data Type: " << input->info()->data_type() << " Groups: " << num_groups - << " Input QuantInfo: " << input->info()->quantization_info() - << " Weights QuantInfo: " << weights->info()->quantization_info() + << qss.str() << " Input shape: " << input->info()->tensor_shape() << " Weights shape: " << weights->info()->tensor_shape() << " Output shape: " << output->info()->tensor_shape() @@ -380,7 +388,9 @@ std::unique_ptr<IFunction> create_depthwise_convolution_layer(DepthwiseConvoluti typename TargetInfo::TensorType *biases = get_backing_tensor<TargetInfo>(node.input(2)); typename TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0)); - if(is_data_type_quantized_asymmetric(input->info()->data_type())) + const bool is_quantized = is_data_type_quantized_asymmetric(input->info()->data_type()); + + if(is_quantized) { biases->info()->set_data_type(DataType::S32); } @@ -405,11 +415,17 @@ std::unique_ptr<IFunction> create_depthwise_convolution_layer(DepthwiseConvoluti } // Log info + std::ostringstream qss; + if(is_quantized) + { + qss << " Input QuantInfo: " << input->info()->quantization_info() + << " Weights QuantInfo: " << weights->info()->quantization_info() + << " Output QuantInfo: " << output->info()->quantization_info(); + } ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << func_name << " Target " << TargetInfo::TargetType << " Data Type: " << input->info()->data_type() - << " Input QuantInfo: " << input->info()->quantization_info() - << " Weights QuantInfo: " << weights->info()->quantization_info() + << qss.str() << " Input shape: " << input->info()->tensor_shape() << " Weights shape: " << weights->info()->tensor_shape() << " Output shape: " << output->info()->tensor_shape() @@ -543,12 +559,20 @@ std::unique_ptr<IFunction> create_fully_connected_layer(FullyConnectedLayerNode auto func = support::cpp14::make_unique<FullyConnectedLayerFunction>(get_memory_manager(ctx, TargetInfo::TargetType)); func->configure(input, weights, biases, output, fc_info); + const bool is_quantized = is_data_type_quantized_asymmetric(input->info()->data_type()); + // Log info + std::ostringstream qss; + if(is_quantized) + { + qss << " Input QuantInfo: " << input->info()->quantization_info() + << " Weights QuantInfo: " << weights->info()->quantization_info() + << " Output QuantInfo: " << output->info()->quantization_info(); + } ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << node.type() << " Target " << TargetInfo::TargetType << " Data Type: " << input->info()->data_type() - << " Input QuantInfo: " << input->info()->quantization_info() - << " Weights QuantInfo: " << weights->info()->quantization_info() + << qss.str() << " Input shape: " << input->info()->tensor_shape() << " Weights shape: " << weights->info()->tensor_shape() << " Output shape: " << output->info()->tensor_shape() |