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added Pytorch 1.0 compatibility and also removed deprecations #22

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added Pytorch 1.0 compatibility and also removed deprecations #22

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10 changes: 5 additions & 5 deletions models/py_utils/_cpools/src/bottom_pool.cpp
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
#include <torch/torch.h>
#include <torch/extension.h>

#include <vector>

Expand Down Expand Up @@ -41,8 +41,8 @@ std::vector<at::Tensor> pool_backward(
int32_t height = input.size(2);
int32_t width = input.size(3);

auto max_val = at::zeros(torch::CUDA(at::kFloat), {batch, channel, width});
auto max_ind = at::zeros(torch::CUDA(at::kLong), {batch, channel, width});
auto max_val = at::zeros({batch, channel, width}, torch::TensorOptions().dtype(torch::kFloat).device(torch::kCUDA));
auto max_ind = at::zeros({batch, channel, width}, torch::TensorOptions().dtype(torch::kLong).device(torch::kCUDA));

auto input_temp = input.select(2, 0);
max_val.copy_(input_temp);
Expand All @@ -54,8 +54,8 @@ std::vector<at::Tensor> pool_backward(
output_temp.copy_(grad_output_temp);

auto un_max_ind = max_ind.unsqueeze(2);
auto gt_mask = at::zeros(torch::CUDA(at::kByte), {batch, channel, width});
auto max_temp = at::zeros(torch::CUDA(at::kFloat), {batch, channel, width});
auto gt_mask = at::zeros({batch, channel, width}, torch::TensorOptions().dtype(torch::kByte).device(torch::kCUDA));
auto max_temp = at::zeros({batch, channel, width}, torch::TensorOptions().dtype(torch::kFloat).device(torch::kCUDA));
for (int32_t ind = 0; ind < height - 1; ++ind) {
input_temp = input.select(2, ind + 1);
at::gt_out(gt_mask, input_temp, max_val);
Expand Down
10 changes: 5 additions & 5 deletions models/py_utils/_cpools/src/left_pool.cpp
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
#include <torch/torch.h>
#include <torch/extension.h>

#include <vector>

Expand Down Expand Up @@ -41,8 +41,8 @@ std::vector<at::Tensor> pool_backward(
int32_t height = input.size(2);
int32_t width = input.size(3);

auto max_val = at::zeros(torch::CUDA(at::kFloat), {batch, channel, height});
auto max_ind = at::zeros(torch::CUDA(at::kLong), {batch, channel, height});
auto max_val = at::zeros({batch, channel, height}, torch::TensorOptions().dtype(torch::kFloat).device(torch::kCUDA));
auto max_ind = at::zeros({batch, channel, height}, torch::TensorOptions().dtype(torch::kLong).device(torch::kCUDA));

auto input_temp = input.select(3, width - 1);
max_val.copy_(input_temp);
Expand All @@ -54,8 +54,8 @@ std::vector<at::Tensor> pool_backward(
output_temp.copy_(grad_output_temp);

auto un_max_ind = max_ind.unsqueeze(3);
auto gt_mask = at::zeros(torch::CUDA(at::kByte), {batch, channel, height});
auto max_temp = at::zeros(torch::CUDA(at::kFloat), {batch, channel, height});
auto gt_mask = at::zeros({batch, channel, height}, torch::TensorOptions().dtype(torch::kByte).device(torch::kCUDA));
auto max_temp = at::zeros({batch, channel, height}, torch::TensorOptions().dtype(torch::kFloat).device(torch::kCUDA));
for (int32_t ind = 1; ind < width; ++ind) {
input_temp = input.select(3, width - ind - 1);
at::gt_out(gt_mask, input_temp, max_val);
Expand Down
10 changes: 5 additions & 5 deletions models/py_utils/_cpools/src/right_pool.cpp
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
#include <torch/torch.h>
#include <torch/extension.h>

#include <vector>

Expand Down Expand Up @@ -41,8 +41,8 @@ std::vector<at::Tensor> pool_backward(
int32_t height = input.size(2);
int32_t width = input.size(3);

auto max_val = at::zeros(torch::CUDA(at::kFloat), {batch, channel, height});
auto max_ind = at::zeros(torch::CUDA(at::kLong), {batch, channel, height});
auto max_val = at::zeros({batch, channel, height}, torch::TensorOptions().dtype(torch::kFloat).device(torch::kCUDA));
auto max_ind = at::zeros({batch, channel, height}, torch::TensorOptions().dtype(torch::kLong).device(torch::kCUDA));

auto input_temp = input.select(3, 0);
max_val.copy_(input_temp);
Expand All @@ -54,8 +54,8 @@ std::vector<at::Tensor> pool_backward(
output_temp.copy_(grad_output_temp);

auto un_max_ind = max_ind.unsqueeze(3);
auto gt_mask = at::zeros(torch::CUDA(at::kByte), {batch, channel, height});
auto max_temp = at::zeros(torch::CUDA(at::kFloat), {batch, channel, height});
auto gt_mask = at::zeros({batch, channel, height}, torch::TensorOptions().dtype(torch::kByte).device(torch::kCUDA));
auto max_temp = at::zeros({batch, channel, height}, torch::TensorOptions().dtype(torch::kFloat).device(torch::kCUDA));
for (int32_t ind = 0; ind < width - 1; ++ind) {
input_temp = input.select(3, ind + 1);
at::gt_out(gt_mask, input_temp, max_val);
Expand Down
10 changes: 5 additions & 5 deletions models/py_utils/_cpools/src/top_pool.cpp
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
#include <torch/torch.h>
#include <torch/extension.h>

#include <vector>

Expand Down Expand Up @@ -41,8 +41,8 @@ std::vector<at::Tensor> top_pool_backward(
int32_t height = input.size(2);
int32_t width = input.size(3);

auto max_val = at::zeros(torch::CUDA(at::kFloat), {batch, channel, width});
auto max_ind = at::zeros(torch::CUDA(at::kLong), {batch, channel, width});
auto max_val = at::zeros({batch, channel, width}, torch::TensorOptions().dtype(torch::kFloat).device(torch::kCUDA));
auto max_ind = at::zeros({batch, channel, width}, torch::TensorOptions().dtype(torch::kLong).device(torch::kCUDA));

auto input_temp = input.select(2, height - 1);
max_val.copy_(input_temp);
Expand All @@ -54,8 +54,8 @@ std::vector<at::Tensor> top_pool_backward(
output_temp.copy_(grad_output_temp);

auto un_max_ind = max_ind.unsqueeze(2);
auto gt_mask = at::zeros(torch::CUDA(at::kByte), {batch, channel, width});
auto max_temp = at::zeros(torch::CUDA(at::kFloat), {batch, channel, width});
auto gt_mask = at::zeros({batch, channel, width}, torch::TensorOptions().dtype(torch::kByte).device(torch::kCUDA));
auto max_temp = at::zeros({batch, channel, width}, torch::TensorOptions().dtype(torch::kFloat).device(torch::kCUDA));
for (int32_t ind = 1; ind < height; ++ind) {
input_temp = input.select(2, height - ind - 1);
at::gt_out(gt_mask, input_temp, max_val);
Expand Down