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What would need to be changed so that models can be exported at different resolutions for example 640 to 320
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Use this code:
```
import tensorflow as tf
import numpy as np
import tfcoreml as tf_converter]
with tf.Session(graph=tf.Graph()) as sess:
input = tf.placeholder(tf.float32, shape=(1, 8, 3), …
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## 🐞Describe the bug
I got this error while:
nn.BatchNorm2d -> torch.jit.script -> coreml
## Trace
```python3
Traceback (most recent call last):
File "mini_code.py", line 13, in
model …
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## ❓Question
I tried this code,
```python
import pytorch_lightning as pl
import torch
import coremltools
from coremltools.models.neural_network import flexible_shape_utils
from torch import …
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Hi!
I am trying to convert NN with the following operation inside:
```python
accum = torch.zeros((N, C, self.numangle, self.numrho), dtype=torch.float32)
...
accum.index_put_(indices=[n_i_t, …
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### Describe the issue
onnxruntime-gpu only in the case of window cuda, why not Mac m1, not support, only install onnxruntime, onnx model rendering performance is very slow, very slow; Can't understa…
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## 🐞Describe the bug
I got the following error when I tried to convert the coreml model from the pytorch model.
If you run `x[:, :] = 0` after `torch.cat`, the coreml conversion will fail.
## Tra…
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I test the StableDiffusionPipeline API with Diffusers app on both macOS and iOS and try to let users select their own custom models into the app.
I put custom Stable-Diffusion-v1-5_split-einsum_cn …