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author | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-08 10:15:51 +0100 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2020-04-23 17:53:59 +0000 |
commit | 2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce (patch) | |
tree | 078051a911f9b8883a3f11955cfd3b7ba0d7d9f3 /src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp | |
parent | 0de45d0a8009e19331c4e29d617fa183167c513a (diff) | |
download | ComputeLibrary-2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce.tar.gz |
COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2
- CLFunctions have been updated
Change-Id: Ie3256a6c775bc12f3126482bd8e8a46da54b267c
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3053
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp')
-rw-r--r-- | src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp | 55 |
1 files changed, 42 insertions, 13 deletions
diff --git a/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp b/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp index 00f6f69771..0b7a33401d 100644 --- a/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp +++ b/src/runtime/CL/functions/CLDepthwiseConvolutionLayer.cpp @@ -125,7 +125,14 @@ CLDepthwiseConvolutionLayer3x3::CLDepthwiseConvolutionLayer3x3(std::shared_ptr<I void CLDepthwiseConvolutionLayer3x3::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, ActivationLayerInfo act_info, const Size2D &dilation) { - _func.configure(input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); + _func.configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); +} + +void CLDepthwiseConvolutionLayer3x3::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, + const PadStrideInfo &conv_info, unsigned int depth_multiplier, + ActivationLayerInfo act_info, const Size2D &dilation) +{ + _func.configure(compile_context, input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); } Status CLDepthwiseConvolutionLayer3x3::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, @@ -167,6 +174,13 @@ CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::CLDepthwiseConv void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, const ActivationLayerInfo &act_info, const Size2D &dilation) { + configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); +} + +void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, + ICLTensor *output, const PadStrideInfo &conv_info, + unsigned int depth_multiplier, const ActivationLayerInfo &act_info, const Size2D &dilation) +{ ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); ARM_COMPUTE_ERROR_THROW_ON(CLDepthwiseConvolutionLayer::validate(input->info(), weights->info(), @@ -193,11 +207,11 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure( _memory_group.manage(&_permuted_output); // Configure the function to transform the input tensor from NCHW -> NHWC - _permute_input_to_nhwc.configure(input, &_permuted_input, PermutationVector(2U, 0U, 1U)); + _permute_input_to_nhwc.configure(compile_context, input, &_permuted_input, PermutationVector(2U, 0U, 1U)); _permuted_input.info()->set_data_layout(DataLayout::NHWC); // Configure the function to transform the weights tensor from IHW -> HWI - _permute_weights_to_nhwc.configure(weights, &_permuted_weights, PermutationVector(2U, 0U, 1U)); + _permute_weights_to_nhwc.configure(compile_context, weights, &_permuted_weights, PermutationVector(2U, 0U, 1U)); _permuted_weights.info()->set_data_layout(DataLayout::NHWC); // Set output quantization info before dwc kernel configure @@ -226,7 +240,7 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure( dwc_weights_info.n0 = (depth_multiplier == 1) ? 8 : 1; DWCKernelInfo dwc_info; dwc_info.activation_info = act_info; - _dwc_native_kernel.configure(input_to_use, weights_to_use, biases, output_to_use, + _dwc_native_kernel.configure(compile_context, input_to_use, weights_to_use, biases, output_to_use, dwc_weights_info, dwc_info, conv_info, depth_multiplier, dilation, output_multipliers_to_use, output_shifts_to_use); @@ -236,7 +250,7 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerGeneric::configure( // Configure the function to transform the convoluted output to NCHW format _permuted_output.info()->set_data_layout(DataLayout::NCHW); - _permute_output_to_nchw.configure(&_permuted_output, output, PermutationVector(1U, 2U, 0U)); + _permute_output_to_nchw.configure(compile_context, &_permuted_output, output, PermutationVector(1U, 2U, 0U)); _permuted_output.allocator()->allocate(); } @@ -386,6 +400,13 @@ CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::CLDepthwise void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, ActivationLayerInfo act_info, const Size2D &dilation) { + configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); +} + +void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, + ICLTensor *output, + const PadStrideInfo &conv_info, unsigned int depth_multiplier, ActivationLayerInfo act_info, const Size2D &dilation) +{ const GPUTarget gpu_target = CLScheduler::get().target(); // Perform validation step @@ -429,11 +450,11 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::config _memory_group.manage(&_permuted_output); // Configure the function to transform the input tensor from NHWC -> NCHW - _permute_input_to_nchw.configure(input, &_permuted_input, PermutationVector(1U, 2U, 0U)); + _permute_input_to_nchw.configure(compile_context, input, &_permuted_input, PermutationVector(1U, 2U, 0U)); _permuted_input.info()->set_data_layout(DataLayout::NCHW); // Configure the function to transform the weights tensor from HWI -> IHW - _permute_weights_to_nchw.configure(weights, &_permuted_weights, PermutationVector(1U, 2U, 0U)); + _permute_weights_to_nchw.configure(compile_context, weights, &_permuted_weights, PermutationVector(1U, 2U, 0U)); _permuted_weights.info()->set_data_layout(DataLayout::NCHW); _permuted_output.info()->set_quantization_info(output->info()->quantization_info()); @@ -447,7 +468,7 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::config { if(_needs_weights_reshape) { - _reshape_weights.configure(weights, &_permuted_weights, info); + _reshape_weights.configure(compile_context, weights, &_permuted_weights, info); weights_to_use = &_permuted_weights; } _kernel = arm_compute::support::cpp14::make_unique<CLDepthwiseConvolutionLayer3x3NHWCKernel>(); @@ -473,7 +494,7 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::config // Configure kernel _kernel->set_target(gpu_target); - _kernel->configure(input_to_use, weights_to_use, biases, output_to_use, conv_info, depth_multiplier, + _kernel->configure(compile_context, input_to_use, weights_to_use, biases, output_to_use, conv_info, depth_multiplier, act_info, dilation, output_multipliers_to_use, output_shifts_to_use); if(_is_quantized) @@ -487,7 +508,7 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::config { // Configure the function to transform the convoluted output to ACL's native ordering format NCHW _permuted_output.info()->set_data_layout(DataLayout::NCHW); - _permute_output_to_nhwc.configure(&_permuted_output, output, PermutationVector(2U, 0U, 1U)); + _permute_output_to_nhwc.configure(compile_context, &_permuted_output, output, PermutationVector(2U, 0U, 1U)); // Allocate tensors _permuted_input.allocator()->allocate(); @@ -499,7 +520,7 @@ void CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::config { zero_value = PixelValue(static_cast<uint8_t>(input->info()->quantization_info().uniform().offset)); } - _border_handler.configure(input_to_use, _kernel->border_size(), BorderMode::CONSTANT, zero_value); + _border_handler.configure(compile_context, input_to_use, _kernel->border_size(), BorderMode::CONSTANT, zero_value); } Status CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayerInternal3x3::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, @@ -575,6 +596,14 @@ CLDepthwiseConvolutionLayer::CLDepthwiseConvolutionLayer(std::shared_ptr<IMemory void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier, ActivationLayerInfo act_info, const Size2D &dilation) { + configure(CLKernelLibrary::get().get_compile_context(), input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); +} + +void CLDepthwiseConvolutionLayer::configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, + const PadStrideInfo &conv_info, + unsigned int depth_multiplier, + ActivationLayerInfo act_info, const Size2D &dilation) +{ const GPUTarget gpu_target = CLScheduler::get().target(); _depth_conv_func = get_depthwiseconvolution_function(input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(), conv_info, depth_multiplier, act_info, dilation, gpu_target); @@ -582,12 +611,12 @@ void CLDepthwiseConvolutionLayer::configure(ICLTensor *input, const ICLTensor *w { case DepthwiseConvolutionFunction::OPTIMIZED: _func_3x3.set_memory_group(_memory_manager); - _func_3x3.configure(input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); + _func_3x3.configure(compile_context, input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); break; case DepthwiseConvolutionFunction::GENERIC: { _func_generic.set_memory_group(_memory_manager); - _func_generic.configure(input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); + _func_generic.configure(compile_context, input, weights, biases, output, conv_info, depth_multiplier, act_info, dilation); } break; default: |