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-rw-r--r--tests/validation/reference/Convolution3d.h51
-rw-r--r--tests/validation/reference/ConvolutionLayer.cpp20
-rw-r--r--tests/validation/reference/ConvolutionLayer.h4
3 files changed, 46 insertions, 29 deletions
diff --git a/tests/validation/reference/Convolution3d.h b/tests/validation/reference/Convolution3d.h
index 30be25f504..23918a4055 100644
--- a/tests/validation/reference/Convolution3d.h
+++ b/tests/validation/reference/Convolution3d.h
@@ -42,13 +42,16 @@ inline bool is_valid_pixel(int i, int min, int max)
}
// 3D convolution for floating point type
-template < typename T, typename TB, typename std::enable_if < validation::is_floating_point<T>::value &&validation::is_floating_point<TB>::value, int >::type = 0 >
-inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, SimpleTensor<T> &out,
+template < typename T, typename TW, typename TB, typename std::enable_if < validation::is_floating_point<T>::value &&validation::is_floating_point<TW>::value
+ &&validation::is_floating_point<TB>::value,
+ int >::type = 0 >
+inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<TW> &weights, const SimpleTensor<TB> &bias, SimpleTensor<T> &out,
int i_offset, int w_offset, int b_offset, int o_offset,
- int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights, int dilation_x = 1, int dilation_y = 1)
+ int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights, int dilation_x = 1, int dilation_y = 1, int filter_id = 0)
{
+ ARM_COMPUTE_UNUSED(filter_id);
const T *in_ptr = in.data() + i_offset;
- const T *w_ptr = weights.data() + w_offset;
+ const TW *w_ptr = weights.data() + w_offset;
const TB *b_ptr = bias.data() + b_offset;
T *out_ptr = out.data() + o_offset;
@@ -77,8 +80,8 @@ inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weig
const int idx = xk + half_width_weights_start;
const int idy = yk + half_height_weights_start;
- const T i_value = in_ptr[offset_slice_in + xk * dilation_x + yk * dilation_y * width_in];
- const T w_value = w_ptr[idx + idy * width_weights + ifm * width_weights * height_weights];
+ const T i_value = in_ptr[offset_slice_in + xk * dilation_x + yk * dilation_y * width_in];
+ const TW w_value = w_ptr[idx + idy * width_weights + ifm * width_weights * height_weights];
acc += i_value * w_value;
}
@@ -91,13 +94,16 @@ inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weig
}
// 3D convolution for QASYMM8 type
-template < typename T, typename TB, typename std::enable_if < std::is_same<T, uint8_t>::value &&std::is_same<TB, int32_t>::value, int >::type = 0 >
-inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, SimpleTensor<T> &out,
+template < typename T, typename TW, typename TB, typename std::enable_if < std::is_same<T, uint8_t>::value &&(std::is_same<TW, uint8_t>::value
+ || std::is_same<TW, int8_t>::value)
+ &&std::is_same<TB, int32_t>::value,
+ int >::type = 0 >
+inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<TW> &weights, const SimpleTensor<TB> &bias, SimpleTensor<T> &out,
int i_offset, int w_offset, int b_offset, int o_offset,
- int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights, int dilation_x = 1, int dilation_y = 1)
+ int xi, int yi, int width_in, int height_in, int depth_in, int width_weights, int height_weights, int dilation_x = 1, int dilation_y = 1, int filter_id = 0)
{
const T *in_ptr = in.data() + i_offset;
- const T *w_ptr = weights.data() + w_offset;
+ const TW *w_ptr = weights.data() + w_offset;
const TB *b_ptr = bias.data() + b_offset;
T *out_ptr = out.data() + o_offset;
@@ -107,10 +113,22 @@ inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weig
const int input_offset = -iq_info.offset;
const float input_scale = iq_info.scale;
- const int weights_offset = -wq_info.offset;
- const float weights_scale = wq_info.scale;
- const int output_offset = oq_info.offset;
- const float output_scale = oq_info.scale;
+ int weights_offset = -wq_info.offset;
+ float weights_scale = wq_info.scale;
+ if(is_data_type_quantized_per_channel(weights.data_type()))
+ {
+ if(is_data_type_quantized_asymmetric(weights.data_type()))
+ {
+ weights_offset = weights.quantization_info().offset()[filter_id];
+ }
+ else
+ {
+ weights_offset = 0;
+ }
+ weights_scale = weights.quantization_info().scale()[filter_id];
+ }
+ const int output_offset = oq_info.offset;
+ const float output_scale = oq_info.scale;
int output_multiplier = 0;
int output_shift = 0;
@@ -142,9 +160,8 @@ inline void convolution3d(const SimpleTensor<T> &in, const SimpleTensor<T> &weig
const int idx = xk + half_width_weights_start;
const int idy = yk + half_height_weights_start;
- const uint8_t i_value = in_ptr[offset_slice_in + xk * dilation_x + yk * dilation_y * width_in];
- const uint8_t w_value = w_ptr[idx + idy * width_weights + ifm * width_weights * height_weights];
-
+ const int32_t i_value = in_ptr[offset_slice_in + xk * dilation_x + yk * dilation_y * width_in];
+ const int32_t w_value = w_ptr[idx + idy * width_weights + ifm * width_weights * height_weights];
acc += (i_value + input_offset) * (w_value + weights_offset);
}
}
diff --git a/tests/validation/reference/ConvolutionLayer.cpp b/tests/validation/reference/ConvolutionLayer.cpp
index 69090117fe..4d2c1acb6f 100644
--- a/tests/validation/reference/ConvolutionLayer.cpp
+++ b/tests/validation/reference/ConvolutionLayer.cpp
@@ -45,8 +45,8 @@ namespace
{
} // namespace
-template <typename T, typename TB>
-SimpleTensor<T> convolution_layer_nchw(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, SimpleTensor<T> &dst, const PadStrideInfo &info,
+template <typename T, typename TW, typename TB>
+SimpleTensor<T> convolution_layer_nchw(const SimpleTensor<T> &src, const SimpleTensor<TW> &weights, const SimpleTensor<TB> &bias, SimpleTensor<T> &dst, const PadStrideInfo &info,
const Size2D &dilation, unsigned int num_groups)
{
ARM_COMPUTE_ERROR_ON((src.shape()[2] / num_groups) != weights.shape()[2]);
@@ -73,7 +73,6 @@ SimpleTensor<T> convolution_layer_nchw(const SimpleTensor<T> &src, const SimpleT
const int end_xi = output_wh.first * stride_xi;
const int end_yi = output_wh.second * stride_yi;
const int num_batches = src.shape().total_size() / (width_in * height_in * depth_in);
-
for(int r = 0; r < num_batches; ++r)
{
for(int yi = start_yi; yi < start_yi + end_yi; yi += stride_yi)
@@ -100,17 +99,16 @@ SimpleTensor<T> convolution_layer_nchw(const SimpleTensor<T> &src, const SimpleT
offset_in, offset_w, offset_b, offset_out,
xi, yi,
width_in, height_in, (depth_in / num_groups),
- width_weights, height_weights, dilation.x(), dilation.y());
+ width_weights, height_weights, dilation.x(), dilation.y(), ofm);
}
}
}
}
}
-
return dst;
}
-template <typename T, typename TB>
-SimpleTensor<T> convolution_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info,
+template <typename T, typename TW, typename TB>
+SimpleTensor<T> convolution_layer(const SimpleTensor<T> &src, const SimpleTensor<TW> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info,
const Size2D &dilation, unsigned int num_groups, QuantizationInfo out_quant_info)
{
// if no explicit quantization has been set you the same as src
@@ -123,9 +121,9 @@ SimpleTensor<T> convolution_layer(const SimpleTensor<T> &src, const SimpleTensor
if(src.data_layout() == DataLayout::NHWC)
{
- SimpleTensor<T> src_nchw = reference::permute<T>(src, PermutationVector(1U, 2U, 0U));
- SimpleTensor<T> weights_nchw = reference::permute<T>(weights, PermutationVector(1U, 2U, 0U));
- SimpleTensor<T> dst_nchw = reference::permute<T>(dst, PermutationVector(1U, 2U, 0U));
+ SimpleTensor<T> src_nchw = reference::permute<T>(src, PermutationVector(1U, 2U, 0U));
+ SimpleTensor<TW> weights_nchw = reference::permute<TW>(weights, PermutationVector(1U, 2U, 0U));
+ SimpleTensor<T> dst_nchw = reference::permute<T>(dst, PermutationVector(1U, 2U, 0U));
return reference::permute<T>(convolution_layer_nchw(src_nchw, weights_nchw, bias, dst_nchw, info, dilation, num_groups), PermutationVector(2U, 0U, 1U));
}
@@ -141,6 +139,8 @@ template SimpleTensor<half> convolution_layer(const SimpleTensor<half> &src, con
const PadStrideInfo &info, const Size2D &dilation, unsigned int num_groups, QuantizationInfo out_quant_info);
template SimpleTensor<uint8_t> convolution_layer(const SimpleTensor<uint8_t> &src, const SimpleTensor<uint8_t> &weights, const SimpleTensor<int32_t> &bias, const TensorShape &output_shape,
const PadStrideInfo &info, const Size2D &dilation, unsigned int num_groups, QuantizationInfo out_quant_info);
+template SimpleTensor<uint8_t> convolution_layer(const SimpleTensor<uint8_t> &src, const SimpleTensor<int8_t> &weights, const SimpleTensor<int32_t> &bias, const TensorShape &output_shape,
+ const PadStrideInfo &info, const Size2D &dilation, unsigned int num_groups, QuantizationInfo out_quant_info);
} // namespace reference
} // namespace validation
} // namespace test
diff --git a/tests/validation/reference/ConvolutionLayer.h b/tests/validation/reference/ConvolutionLayer.h
index c51a9b3ad7..8f41073fe2 100644
--- a/tests/validation/reference/ConvolutionLayer.h
+++ b/tests/validation/reference/ConvolutionLayer.h
@@ -35,8 +35,8 @@ namespace validation
{
namespace reference
{
-template <typename T, typename TB>
-SimpleTensor<T> convolution_layer(const SimpleTensor<T> &src, const SimpleTensor<T> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info,
+template <typename T, typename TW, typename TB>
+SimpleTensor<T> convolution_layer(const SimpleTensor<T> &src, const SimpleTensor<TW> &weights, const SimpleTensor<TB> &bias, const TensorShape &output_shape, const PadStrideInfo &info,
const Size2D &dilation = Size2D(1U, 1U), unsigned int num_groups = 1, QuantizationInfo out_quant_info = QuantizationInfo());
} // namespace reference
} // namespace validation
generated by cgit v1.2.1 (git 2.23.0) at 2024-04-29 11:25:01 +0000