Revert "Rework OpenCL Depthwise Convolution"
This reverts commit 561c176598cd14245e2e7918fdf136d1c888d1da.
Reason for revert: <validation>
Change-Id: I6f2d61c27520439bb538e9265736532104b24cf8
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5127
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
index 8e187bf..19ec6b2 100644
--- a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -275,7 +275,7 @@
if(padding_valid)
{
- _conv_info = PadStrideInfo(stride.width, stride.height);
+ _conv_info = PadStrideInfo();
}
else
{
@@ -399,15 +399,14 @@
public:
template <typename...>
void setup(size_t width, size_t height, size_t channel, size_t batch, Size2D kernel_size, size_t depth_multiplier, Size2D dilation, Size2D stride, bool padding_valid, DataType data_type,
- DataLayout data_layout, const ActivationLayerInfo &act_info, unsigned int n0, bool export_to_cl_image)
+ DataLayout data_layout, const ActivationLayerInfo &act_info, unsigned int n0)
{
- _dilation = dilation;
- _depth_multiplier = depth_multiplier;
- _data_type = data_type;
- _data_layout = data_layout;
- _act_info = act_info;
- _n0 = n0;
- _export_to_cl_image = export_to_cl_image;
+ _dilation = dilation;
+ _depth_multiplier = depth_multiplier;
+ _data_type = data_type;
+ _data_layout = data_layout;
+ _act_info = act_info;
+ _n0 = n0;
_input_shape = TensorShape(width, height, channel, batch);
_weights_shape = TensorShape(kernel_size.width, kernel_size.height, channel * _depth_multiplier);
@@ -415,11 +414,11 @@
if(padding_valid)
{
- _conv_info = calculate_same_pad(_input_shape, _weights_shape, PadStrideInfo(stride.width, stride.height), DataLayout::NCHW, _dilation);
+ _conv_info = PadStrideInfo();
}
else
{
- _conv_info = PadStrideInfo(stride.width, stride.height);
+ _conv_info = calculate_same_pad(_input_shape, _weights_shape, PadStrideInfo(stride.width, stride.height), DataLayout::NCHW, _dilation);
}
}
@@ -440,26 +439,14 @@
_biases = create_tensor<TensorType>(_biases_shape, _data_type, 1, QuantizationInfo(), _data_layout);
_target = create_tensor<TensorType>(TensorShape(), _data_type, 1, QuantizationInfo(), _data_layout);
- DWCComputeKernelInfo dwc_info;
- dwc_info.n0 = _n0;
- dwc_info.m0 = _conv_info.stride().first == 1 && _dilation.x() == 1 ? 8 : 1;
- dwc_info.export_weights_to_cl_image = _export_to_cl_image;
+ DWCWeightsKernelInfo dwc_weights_info;
+ dwc_weights_info.n0 = _n0;
-#if defined(ARM_COMPUTE_OPENCL_ENABLED)
- if(_export_to_cl_image)
- {
- _validate_output |= image2d_from_buffer_supported(CLKernelLibrary::get().get_device());
- _validate_output |= (get_cl_image_pitch_alignment(CLKernelLibrary::get().get_device()) != 0);
- }
-#endif // ARM_COMPUTE_OPENCL_ENABLED
-
- const ConvolutionInfo conv_kernel_info
- {
- _conv_info, _depth_multiplier, _act_info, _dilation
- };
+ DWCKernelInfo dwc_info;
+ dwc_info.activation_info = _act_info;
// Create Depthwise Convolution configure function
- _dwc.configure(&_src, &_weights, &_biases, &_target, dwc_info, conv_kernel_info);
+ _dwc.configure(&_src, &_weights, &_biases, &_target, dwc_weights_info, dwc_info, _conv_info, _depth_multiplier, _dilation);
ARM_COMPUTE_ASSERT(_src.info()->is_resizable());
ARM_COMPUTE_ASSERT(_weights.info()->is_resizable());
@@ -469,8 +456,7 @@
void allocate_and_run_target()
{
- add_padding_x({ &_src, &_biases, &_target }, _data_layout);
- add_padding_x({ &_weights }, _data_layout, _export_to_cl_image); // Don't add left padding if cl image will be used
+ add_padding_x({ &_src, &_weights, &_biases, &_target }, _data_layout);
// Allocate tensors
_src.allocator()->allocate();
@@ -493,10 +479,7 @@
_target.info()->set_data_layout(_data_layout == DataLayout::NCHW ? DataLayout::NHWC : DataLayout::NCHW);
// Compute function
- if(_validate_output)
- {
- _dwc.run();
- }
+ _dwc.run();
// Reinstating original data layout for the test suite to properly check the values
_target.info()->set_data_layout(_data_layout);
@@ -514,10 +497,7 @@
const ConvolutionInfo info{ _conv_info, _depth_multiplier, _act_info, _dilation };
const TensorShape dst_shape = compute_depthwise_convolution_shape(TensorInfo(_input_shape, 1, _data_type), TensorInfo(_weights_shape, 1, _data_type), info);
- if(_validate_output)
- {
- _reference = reference::activation_layer(reference::depthwise_convolution(src, weights, biases, dst_shape, _conv_info, _depth_multiplier, _dilation), _act_info);
- }
+ _reference = reference::activation_layer(reference::depthwise_convolution(src, weights, biases, dst_shape, _conv_info, _depth_multiplier, _dilation), _act_info);
}
protected:
@@ -561,8 +541,6 @@
Size2D _dilation{};
unsigned int _depth_multiplier{};
unsigned int _n0{};
- bool _export_to_cl_image{};
- bool _validate_output{ true };
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T, bool mixed_layout = false>