Lines Matching refs:int32_t
44 int32_t padding_left, int32_t padding_right, int32_t padding_top, in groupedConvFloat32()
45 int32_t padding_bottom, int32_t stride_width, int32_t stride_height, in groupedConvFloat32()
46 int32_t numGroups, int32_t activation, float* outputData, in groupedConvFloat32()
62 int32_t wInputOrigin = in groupedConvFloat32()
63 static_cast<int32_t>(w) * stride_width - padding_left; in groupedConvFloat32()
64 int32_t hInputOrigin = in groupedConvFloat32()
65 static_cast<int32_t>(h) * stride_height - padding_top; in groupedConvFloat32()
70 int32_t hInput = hInputOrigin + static_cast<int32_t>(i); in groupedConvFloat32()
71 int32_t wInput = wInputOrigin + static_cast<int32_t>(j); in groupedConvFloat32()
73 if (hInput >= 0 && hInput < static_cast<int32_t>(inputHeight) && in groupedConvFloat32()
74 wInput >= 0 && wInput < static_cast<int32_t>(inputWidth)) { in groupedConvFloat32()
100 const Shape& filterShape, const int32_t* biasData, const Shape& biasShape, in groupedConvQuant8()
101 int32_t padding_left, int32_t padding_right, int32_t padding_top, in groupedConvQuant8()
102 int32_t padding_bottom, int32_t stride_width, int32_t stride_height, in groupedConvQuant8()
103 int32_t numGroups, int32_t activation, uint8_t* outputData, in groupedConvQuant8()
108 int32_t inputOffset = -inputShape.offset; in groupedConvQuant8()
109 int32_t filterOffset = -filterShape.offset; in groupedConvQuant8()
110 int32_t outputOffset = outputShape.offset; in groupedConvQuant8()
113 int32_t outputMultiplier = 0; in groupedConvQuant8()
114 int32_t outputShift = 0; in groupedConvQuant8()
121 int32_t output_activation_min = 0, output_activation_max = 0; in groupedConvQuant8()
133 int32_t wInputOrigin = in groupedConvQuant8()
134 static_cast<int32_t>(w) * stride_width - padding_left; in groupedConvQuant8()
135 int32_t hInputOrigin = in groupedConvQuant8()
136 static_cast<int32_t>(h) * stride_height - padding_top; in groupedConvQuant8()
137 int32_t sum = 0.0f; in groupedConvQuant8()
141 int32_t hInput = hInputOrigin + static_cast<int32_t>(i); in groupedConvQuant8()
142 int32_t wInput = wInputOrigin + static_cast<int32_t>(j); in groupedConvQuant8()
144 if (hInput >= 0 && hInput < static_cast<int32_t>(inputHeight) && in groupedConvQuant8()
145 wInput >= 0 && wInput < static_cast<int32_t>(inputWidth)) { in groupedConvQuant8()
150 sum += (static_cast<int32_t>(filterBase[filterIndex]) + in groupedConvQuant8()
152 (static_cast<int32_t>(inputBase[inputIndex]) + in groupedConvQuant8()
178 const float* filterScales, const int32_t* biasData, in groupedConvQuant8PerChannel()
179 const Shape& biasShape, int32_t padding_left, in groupedConvQuant8PerChannel()
180 int32_t padding_right, int32_t padding_top, int32_t padding_bottom, in groupedConvQuant8PerChannel()
181 int32_t stride_width, int32_t stride_height, int32_t numGroups, in groupedConvQuant8PerChannel()
182 int32_t activation, uint8_t* outputData, in groupedConvQuant8PerChannel()
187 int32_t inputOffset = -inputShape.offset; in groupedConvQuant8PerChannel()
188 int32_t outputOffset = outputShape.offset; in groupedConvQuant8PerChannel()
191 auto outputMultiplier = std::vector<int32_t>(outputDepth, 0); in groupedConvQuant8PerChannel()
192 auto outputShift = std::vector<int32_t>(outputDepth, 0); in groupedConvQuant8PerChannel()
207 int32_t output_activation_min = 0, output_activation_max = 0; in groupedConvQuant8PerChannel()
219 int32_t wInputOrigin = in groupedConvQuant8PerChannel()
220 static_cast<int32_t>(w) * stride_width - padding_left; in groupedConvQuant8PerChannel()
221 int32_t hInputOrigin = in groupedConvQuant8PerChannel()
222 static_cast<int32_t>(h) * stride_height - padding_top; in groupedConvQuant8PerChannel()
223 int32_t sum = 0.0f; in groupedConvQuant8PerChannel()
227 int32_t hInput = hInputOrigin + static_cast<int32_t>(i); in groupedConvQuant8PerChannel()
228 int32_t wInput = wInputOrigin + static_cast<int32_t>(j); in groupedConvQuant8PerChannel()
230 if (hInput >= 0 && hInput < static_cast<int32_t>(inputHeight) && in groupedConvQuant8PerChannel()
231 wInput >= 0 && wInput < static_cast<int32_t>(inputWidth)) { in groupedConvQuant8PerChannel()
236 sum += (static_cast<int32_t>(filterBase[filterIndex])) * in groupedConvQuant8PerChannel()
237 (static_cast<int32_t>(inputBase[inputIndex]) + in groupedConvQuant8PerChannel()
264 const _Float16* biasData, const Shape& biasShape, int32_t padding_left, in groupedConvFloat16()
265 int32_t padding_right, int32_t padding_top, int32_t padding_bottom, in groupedConvFloat16()
266 int32_t stride_width, int32_t stride_height, int32_t numGroups, in groupedConvFloat16()
267 int32_t activation, _Float16* outputData, const Shape& outputShape) { in groupedConvFloat16()