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| author | giuros01 <giuseppe.rossini@arm.com> | 2018-11-20 18:34:46 +0000 |
|---|---|---|
| committer | Giuseppe Rossini <giuseppe.rossini@arm.com> | 2018-11-30 18:00:25 +0000 |
| commit | 164a2727d3bbce0e575d24b7db787c85e2e2c203 (patch) | |
| tree | 983fc1f519032ac9a056e19f87e32597ca1874a1 /src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp | |
| parent | 7930db48e12dd3a14c1971f41f5b83527efea281 (diff) | |
| download | ComputeLibrary-164a2727d3bbce0e575d24b7db787c85e2e2c203.tar.gz | |
COMPMID-1717: CL: Implement Maximum, Minimum, SquaredDifference
Change-Id: Ice653e48211053bd3cd20a693bd76de6b4efc370
Reviewed-on: https://review.mlplatform.org/270
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp index 4694aa7f37..3a8b1a5891 100644 --- a/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLGEMMConvolutionLayer.cpp @@ -242,7 +242,7 @@ void CLGEMMConvolutionLayer::configure(const ICLTensor *input, const ICLTensor * else if(_append_bias) { // Configure add bias kernel - _add_bias_kernel.configure(output, biases, output, ConvertPolicy::SATURATE); + _add_bias_kernel.configure(ArithmeticOperation::ADD, output, biases, output, ConvertPolicy::SATURATE); } // Create GEMM output tensor @@ -276,9 +276,9 @@ void CLGEMMConvolutionLayer::configure(const ICLTensor *input, const ICLTensor * { const QuantizationInfo output_quant_info = (output->info()->total_size() == 0) ? input->info()->quantization_info() : output->info()->quantization_info(); - const float multiplier = (input->info()->quantization_info().scale * weights->info()->quantization_info().scale) / output_quant_info.scale; - int output_multiplier = 0; - int output_shift = 0; + const float multiplier = (input->info()->quantization_info().scale * weights->info()->quantization_info().scale) / output_quant_info.scale; + int output_multiplier = 0; + int output_shift = 0; quantization::calculate_quantized_multiplier_less_than_one(multiplier, &output_multiplier, &output_shift); int min_activation = 0; @@ -432,7 +432,7 @@ Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI else if(append_bias) { // Validate add bias kernel - ARM_COMPUTE_RETURN_ON_ERROR(CLArithmeticAdditionKernel::validate(output, biases, output, ConvertPolicy::SATURATE)); + ARM_COMPUTE_RETURN_ON_ERROR(CLSaturatedArithmeticOperationKernel::validate(ArithmeticOperation::ADD, output, biases, output, ConvertPolicy::SATURATE)); } // Create GEMM output tensor @@ -459,9 +459,9 @@ Status CLGEMMConvolutionLayer::validate(const ITensorInfo *input, const ITensorI { const QuantizationInfo output_quant_info = (output->total_size() == 0) ? input->quantization_info() : output->quantization_info(); - const float multiplier = (input->quantization_info().scale * weights->quantization_info().scale) / output_quant_info.scale; - int output_multiplier = 0; - int output_shift = 0; + const float multiplier = (input->quantization_info().scale * weights->quantization_info().scale) / output_quant_info.scale; + int output_multiplier = 0; + int output_shift = 0; ARM_COMPUTE_RETURN_ON_ERROR(quantization::calculate_quantized_multiplier_less_than_one(multiplier, &output_multiplier, &output_shift)); |