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[Doc] Add IJCAI 2024 CAR competition to inedx.md and fix docstrings #874

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merged 1 commit into from
May 2, 2024
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[Doc] Add IJCAI 2024 CAR competition to inedx.md and fix docstrings #874

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2 changes: 2 additions & 0 deletions docs/index.md
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,8 @@
./README.md:status
--8<--

🔥 [IJCAI 2024: 任意三维几何外形车辆的风阻快速预测竞赛](https://competition.atomgit.com/competitionInfo?id=7f3f276465e9e845fd3a811d2d6925b5)，欢迎报名参赛。

<style>
.container {
display: flex;
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22 changes: 11 additions & 11 deletions ppsci/arch/cuboid_transformer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,10 +104,10 @@ def forward(self, x):
"""x --> [K x Conv2D] --> PatchMerge

Args:
x : (B, T, H, W, C)
x: (B, T, H, W, C)

Returns:
out : (B, T, H_new, W_new, C_out)
out: (B, T, H_new, W_new, C_out)
"""

B, T, H, W, C = x.shape
Expand Down Expand Up @@ -178,10 +178,10 @@ def forward(self, x):
"""x --> Upsample --> [K x Conv2D]

Args:
x : (B, T, H, W, C)
x: (B, T, H, W, C)

Returns:
out : (B, T, H_new, W_new, C)
out: (B, T, H_new, W_new, C)
"""

x = self.upsample(x)
Expand Down Expand Up @@ -286,10 +286,10 @@ def forward(self, x):
"""x --> [K x Conv2D] --> PatchMerge --> ... --> [K x Conv2D] --> PatchMerge

Args:
x : (B, T, H, W, C)
x: (B, T, H, W, C)

Returns:
out : (B, T, H_new, W_new, C_out)
out: (B, T, H_new, W_new, C_out)
"""

for i, (conv_block, patch_merge) in enumerate(
Expand Down Expand Up @@ -400,10 +400,10 @@ def forward(self, x):
"""x --> Upsample --> [K x Conv2D] --> ... --> Upsample --> [K x Conv2D]

Args:
x : Shape (B, T, H, W, C)
x: Shape (B, T, H, W, C)

Returns:
out : Shape (B, T, H_new, W_new, C)
out: Shape (B, T, H_new, W_new, C)
"""
for i, (conv_block, upsample) in enumerate(
zip(self.conv_block_list, self.upsample_list)
Expand Down Expand Up @@ -915,10 +915,10 @@ def get_initial_z(self, final_mem, T_out):
def forward(self, x, verbose=False):
"""
Args:
x : Shape (B, T, H, W, C)
verbos : if True, print intermediate shapes
x: Shape (B, T, H, W, C)
verbose: if True, print intermediate shapes
Returns:
out : The output Shape (B, T_out, H, W, C_out)
out: The output Shape (B, T_out, H, W, C_out)
"""

x = self.concat_to_tensor(x, self.input_keys)
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