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@@

Source code for mrinufft.operators.interfaces.utils.gpu_utils

[docs] def is_cuda_tensor(var): """Check if var is a CUDA tensor.""" - return isinstance(var, torch.Tensor) and var.is_cuda
+ return TORCH_AVAILABLE and isinstance(var, torch.Tensor) and var.is_cuda diff --git a/_sources/generated/autoexamples/GPU/example_cg.rst b/_sources/generated/autoexamples/GPU/example_cg.rst index cb99da7c..a1da428f 100644 --- a/_sources/generated/autoexamples/GPU/example_cg.rst +++ b/_sources/generated/autoexamples/GPU/example_cg.rst @@ -170,7 +170,7 @@ Display the results .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 1.080 seconds) + **Total running time of the script:** (0 minutes 1.177 seconds) .. _sphx_glr_download_generated_autoexamples_GPU_example_cg.py: diff --git a/_sources/generated/autoexamples/GPU/example_density.rst b/_sources/generated/autoexamples/GPU/example_density.rst index 14caae64..3a801598 100644 --- a/_sources/generated/autoexamples/GPU/example_density.rst +++ b/_sources/generated/autoexamples/GPU/example_density.rst @@ -103,7 +103,7 @@ Create sample data /volatile/github-ci-mind-inria/gpu_runner2/_work/_tool/Python/3.10.16/x64/lib/python3.10/site-packages/finufft/_interfaces.py:329: UserWarning: Argument `data` does not satisfy the following requirement: C. Copying array (this may reduce performance) warnings.warn(f"Argument `{name}` does not satisfy the following requirement: {prop}. Copying array (this may reduce performance)") - + @@ -331,7 +331,7 @@ Pipe's method is an iterative scheme, that use the interpolation and spreading k .. code-block:: none - [0.00880264 0.04015241 0.08094852 ... 3.2305737 2.659058 3.443778 ] + [0.00879562 0.0401402 0.08093609 ... 3.1808376 2.8537495 2.5255663 ] @@ -339,7 +339,7 @@ Pipe's method is an iterative scheme, that use the interpolation and spreading k .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 4.346 seconds) + **Total running time of the script:** (0 minutes 4.358 seconds) .. _sphx_glr_download_generated_autoexamples_GPU_example_density.py: diff --git a/_sources/generated/autoexamples/GPU/example_fastMRI_UNet.rst b/_sources/generated/autoexamples/GPU/example_fastMRI_UNet.rst index 01c611ac..aa6c00db 100644 --- a/_sources/generated/autoexamples/GPU/example_fastMRI_UNet.rst +++ b/_sources/generated/autoexamples/GPU/example_fastMRI_UNet.rst @@ -456,9 +456,9 @@ Start training loop .. code-block:: none - 0%| | 0/100 [00:00coverage: 81.81%coverage81.81% \ No newline at end of file +coverage: 81.80%coverage81.80% \ No newline at end of file diff --git a/generated/autoexamples/GPU/example_cg.html b/generated/autoexamples/GPU/example_cg.html index 50ae6d8b..1187bb7a 100644 --- a/generated/autoexamples/GPU/example_cg.html +++ b/generated/autoexamples/GPU/example_cg.html @@ -831,7 +831,7 @@

Referencesplt.show() -Original image, Conjugate gradient, Adjoint NUFFT

Total running time of the script: (0 minutes 1.080 seconds)

+Original image, Conjugate gradient, Adjoint NUFFT

Total running time of the script: (0 minutes 1.177 seconds)

-Ground Truth, no density compensation, Pipe density compensation
[0.00880264 0.04015241 0.08094852 ... 3.2305737  2.659058   3.443778  ]
+Ground Truth, no density compensation, Pipe density compensation
[0.00879562 0.0401402  0.08093609 ... 3.1808376  2.8537495  2.5255663 ]
 

 

-
Total running time of the script: (0 minutes 4.346 seconds)

+
Total running time of the script: (0 minutes 4.358 seconds)

 
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+  0%|          | 0/100 [00:00<?, ?steps/s, loss=0.96]/volatile/github-ci-mind-inria/gpu_runner2/_work/mri-nufft/mri-nufft/examples/GPU/example_fastMRI_UNet.py:104: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0)
   axs[0].imshow(np.abs(mri_2D[0]), cmap="gray")
 
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example learn_samples

Reconstruction from partially trained U-Net model

@@ -1308,7 +1308,7 @@

Referencesfacebookresearch/fastMRI

-

Total running time of the script: (1 minutes 31.303 seconds)

+

Total running time of the script: (1 minutes 32.406 seconds)

-MR Image, Trajectory, Reconstruction
/volatile/github-ci-mind-inria/gpu_runner2/_work/mri-nufft/mri-nufft/examples/GPU/example_learn_samples.py:117: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ../aten/src/ATen/native/Copy.cpp:308.)
-  mri_2D = torch.Tensor(np.flipud(bwdl.get_mri(4, "T1")[80, ...]).astype(np.complex64))[
-/volatile/github-ci-mind-inria/gpu_runner2/_work/mri-nufft/mri-nufft/examples/GPU/example_learn_samples.py:84: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0)
+MR Image, Trajectory, Reconstruction
/volatile/github-ci-mind-inria/gpu_runner2/_work/mri-nufft/mri-nufft/examples/GPU/example_learn_samples.py:84: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0)
   axs[0].imshow(np.abs(mri_2D[0]), cmap="gray")
 

 

@@ -927,207 +925,207 @@ 
Start training loop
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example learn_samples @@ -1165,7 +1163,7 @@

Referenceshttps://doi.org/10.3390/bioengineering10020158

-

Total running time of the script: (1 minutes 9.721 seconds)

+

Total running time of the script: (1 minutes 10.948 seconds)

-

Total running time of the script: (1 minutes 25.173 seconds)

+

Total running time of the script: (1 minutes 26.492 seconds)

-MR Image, Reconstruction, Trajectory
/volatile/github-ci-mind-inria/gpu_runner2/_work/mri-nufft/mri-nufft/examples/GPU/example_learn_straight_line_readouts.py:126: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0)
+MR Image, Reconstruction, Trajectory
/volatile/github-ci-mind-inria/gpu_runner2/_work/mri-nufft/mri-nufft/examples/GPU/example_learn_straight_line_readouts.py:174: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ../aten/src/ATen/native/Copy.cpp:308.)
+  mri_3D = torch.Tensor(cart_data)[None]
+/volatile/github-ci-mind-inria/gpu_runner2/_work/mri-nufft/mri-nufft/examples/GPU/example_learn_straight_line_readouts.py:126: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0)
   axs[0].imshow(np.abs(mri_2D[0][..., 11]), cmap="gray")
 

 

@@ -979,207 +981,207 @@ 
Start training loop
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example learn_samples @@ -1216,7 +1218,7 @@

Referenceshttps://doi.org/10.3390/bioengineering10020158

-

Total running time of the script: (4 minutes 56.673 seconds)

+

Total running time of the script: (4 minutes 58.021 seconds)