onnxruntime/js/web/lib/wasm/jsep/webgpu/ops/3rd-party
Xu Xing 92a8407b39
[js/webgpu] Remove unnecessary initialization of var (#21312)
This var has been initialized to 0 in tint, so no need extra loop to do
it again:
```
  float tint_symbol_52[1][4] = (float[1][4])0;
  {
    for(int tint_symbol_53 = 0; (tint_symbol_53 < 1); tint_symbol_53 = (tint_symbol_53 + 1)) {
      {
        for(int tint_symbol_54 = 0; (tint_symbol_54 < 4); tint_symbol_54 = (tint_symbol_54 + 1)) {
          tint_symbol_52[min(uint(tint_symbol_53), 0u)][min(uint(tint_symbol_54), 3u)] = 0.0f;
        }
      }
    }
  }
```
### Description
<!-- Describe your changes. -->



### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
2024-07-12 12:34:34 -07:00
..
activation_util.ts [js/webgpu] Fix conv2d with activation (#18388) 2023-11-10 12:54:35 -08:00
conv2d_mm_webgpu.ts [js/webgpu] Add LeakyRelu activation for fusedConv (#19369) 2024-02-02 09:06:38 -08:00
conv3d_naive_webgpu.ts [js/webgpu] Support conv3d naive (#20706) 2024-06-19 10:13:50 -07:00
conv_backprop_mm_webgpu.ts [JS/WebGPU] Use non-matmul implementation for ConvTranspose in channel-first case. (#20022) 2024-03-23 11:19:14 -07:00
conv_backprop_webgpu.ts [js/webgpu] perform uniform consistency check (#20019) 2024-03-26 17:14:43 -07:00
conv_util.ts [js/webgpu] Refactor matmul conv to support uniforms for matmul (#18452) 2023-11-22 14:42:55 -08:00
matmul_packed_webgpu.ts [js/webgpu] Remove unnecessary initialization of var (#21312) 2024-07-12 12:34:34 -07:00