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Add dtype parameter to layer constructors

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This commit is contained in:
Matúš Námešný
2025-11-26 00:19:33 +01:00
parent 84153ac49c
commit 13d3d38b68
17 changed files with 169 additions and 49 deletions
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25
src/layers/avg_pooling.cpp
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@@ -11,6 +11,16 @@ AvgPool2d::AvgPool2d(
CUDANet::Shape stride_shape,
CUDANet::Shape padding_shape,
CUDANet::Backend* backend
)
: AvgPool2d(input_shape, pool_shape, stride_shape, padding_shape, backend->get_default_dtype(), backend) {}
AvgPool2d::AvgPool2d(
CUDANet::Shape input_shape,
CUDANet::Shape pool_shape,
CUDANet::Shape stride_shape,
CUDANet::Shape padding_shape,
CUDANet::DType dtype,
CUDANet::Backend* backend
)
: in_shape(input_shape),
pool_shape(pool_shape),
@@ -33,6 +43,8 @@ AvgPool2d::AvgPool2d(
throw InvalidShapeException("padding", 2, padding_shape.size());
}
this->dtype = dtype;
out_shape = {
(in_shape[0] + 2 * padding_shape[0] - pool_shape[0]) / stride_shape[0] +
1,
@@ -43,7 +55,7 @@ AvgPool2d::AvgPool2d(
output = CUDANet::Tensor(
Shape{out_shape[0] * out_shape[1] * out_shape[2]},
CUDANet::DType::FLOAT32, backend
dtype, backend
);
}
@@ -96,6 +108,14 @@ AdaptiveAvgPool2d::AdaptiveAvgPool2d(
CUDANet::Shape input_shape,
CUDANet::Shape output_shape,
CUDANet::Backend *backend
)
: AdaptiveAvgPool2d(input_shape, output_shape, backend->get_default_dtype(), backend) {}
AdaptiveAvgPool2d::AdaptiveAvgPool2d(
CUDANet::Shape input_shape,
CUDANet::Shape output_shape,
CUDANet::DType dtype,
CUDANet::Backend *backend
)
: AvgPool2d(
input_shape,
@@ -114,12 +134,13 @@ AdaptiveAvgPool2d::AdaptiveAvgPool2d(
(input_shape[0] - (output_shape[0] - 1) * (input_shape[0] / output_shape[0]) - 1) / 2,
(input_shape[1] - (output_shape[1] - 1) * (input_shape[1] / output_shape[1]) - 1) / 2
},
dtype,
backend
) {
out_shape = output_shape;
output = CUDANet::Tensor(
Shape{out_shape[0] * out_shape[1] * out_shape[2]},
CUDANet::DType::FLOAT32, backend
dtype, backend
);
}