Ceil - 1 vs 6#
Next section compares an older to a newer version of the same operator after both definition are converted into markdown text. Green means an addition to the newer version, red means a deletion. Anything else is unchanged.
- Ceil1 → Ceil6 +5 -0
Ceil1 → Ceil6
RENAMED
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@@ -1 +1 @@
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1
1
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Ceil takes one input data (Tensor<T>) and produces one output data
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2
2
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(Tensor<T>) where the ceil is, y = ceil(x), is applied to
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3
3
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the tensor elementwise.
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4
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+
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5
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+
**Attributes**
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6
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+
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7
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+
* **consumed_inputs**:
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8
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+
legacy optimization attribute.
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4
9
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**Inputs**
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5
10
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* **X** (heterogeneous) - **T**:
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6
11
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Input tensor
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7
12
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**Outputs**
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8
13
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* **Y** (heterogeneous) - **T**:
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9
14
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Output tensor
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10
15
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**Type Constraints**
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11
16
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* **T** in (
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12
17
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tensor(double),
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13
18
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tensor(float),
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14
19
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tensor(float16)
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15
20
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):
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16
21
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Constrain input and output types to float tensors.
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