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Searched refs:zero_sized (Results 1 – 25 of 46) sorted by relevance

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/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
Dconcat_zero_sized.mod.py31 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
32 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
36 model = model.Operation("CONCATENATION", zero_sized, zero_sized, 3).To(o3)
44 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
70 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
71 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
76 model = model.Operation("CONCATENATION", zero_sized, i2, 0).To(o3)
84 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Dresize_bilinear_v1_2.mod.py104 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
105 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
109 model = model.Operation("RESIZE_BILINEAR", zero_sized, 3, 3, layout).To(o3)
117 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
126 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
142 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
143 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
147 model = model.Operation("RESIZE_BILINEAR", zero_sized, 1.6, 1.6, layout).To(o3)
155 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
164 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Dl2_pool_v1_2.mod.py68 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
69 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
73 model = model.Operation("L2_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
80 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", "float16")
96 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
97 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
101 model = model.Operation("L2_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
108 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", "float16")
Dmax_pool_v1_2.mod.py124 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
125 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
129 model = model.Operation("MAX_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
137 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
146 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
162 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
163 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
167 model = model.Operation("MAX_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
175 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
184 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Davg_pool_v1_2.mod.py154 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
155 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
159 model = model.Operation("AVERAGE_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
167 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
176 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
192 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
193 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
197 model = model.Operation("AVERAGE_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
205 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
214 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Dtranspose_conv2d.mod.py191 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
192 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
199 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, s, 2, 2, 2, 0, layout).To(o3)
207 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
218 }).AddNchw(i1, zero_sized, o3, s, layout).AddVariations("relaxed", quant8, "float16")
234 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 4, 4, 1}") variable
235 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 4, 4, 2.0, 2.0, 4, 4, layout).To(zero_sized)
241 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, 1, 2, 2, 1, 1, 1, 0, layout).To(o3)
249 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
260 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Dresize_nearest_neighbor.mod.py202 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
203 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
207 model = model.Operation("RESIZE_NEAREST_NEIGHBOR", zero_sized, 3, 3, layout).To(o3)
215 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
224 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
240 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
241 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
245 model = model.Operation("RESIZE_NEAREST_NEIGHBOR", zero_sized, 1.6, 1.6, layout).To(o3)
253 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
262 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Dconv2d_v1_2.mod.py227 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
228 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
234 model = model.Operation("CONV_2D", zero_sized, w, b, 0, 0, 0, 0, 1, 1, 0, layout).To(o3)
242 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
253 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
269 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
270 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
276 model = model.Operation("CONV_2D", zero_sized, w, b, 1, 1, 1, 0, layout).To(o3)
284 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
295 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Dfully_connected_v1_2.mod.py63 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 3}") variable
64 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
70 model = model.Operation("FULLY_CONNECTED", zero_sized, w, b, 0).To(o3)
78 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
89 }).AddNchw(i1, zero_sized, layout).AddVariations("relaxed", quant8, "float16")
Dtranspose_v1_2.mod.py62 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
63 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
67 model = model.Operation("TRANSPOSE", zero_sized, [0, 3, 1, 2]).To(o3)
75 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Droi_align.mod.py227 zero_sized = Output("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
228 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
236 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128)
243 zero_sized: [],
244 }).AddNchw(i1, zero_sized, layout).AddVariations("relaxed", quant8, "float16")
Dconv2d_per_channel.mod.py58 zero_sized = Internal("featureMap", "TENSOR_QUANT8_ASYMM", "{0, 2, 2, 2}, 0.5f, 128") variable
59 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
66 model = model.Operation("CONV_2D", zero_sized, w, b, 0, 0, 0, 0, 1, 1, 0, layout).To(o3)
73 }).AddNchw(i1, zero_sized, o3, layout)
Dmul_v1_2.mod.py74 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 2}") variable
75 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
80 model = model.Operation("MUL", zero_sized, i2, 0).To(o3)
88 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Dtanh_v1_2.mod.py68 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
69 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
73 model = model.Operation("TANH", zero_sized).To(o3)
81 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/
Dresize_quant8_signed.mod.py104 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
105 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
109 model = model.Operation("RESIZE_BILINEAR", zero_sized, 3, 3, layout).To(o3)
117 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
126 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
142 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
143 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
147 model = model.Operation("RESIZE_BILINEAR", zero_sized, 1.6, 1.6, layout).To(o3)
155 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
164 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
[all …]
Dtranspose_quant8_signed.mod.py227 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
228 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
235 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, s, 2, 2, 2, 0, layout).To(o3)
243 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
254 }).AddNchw(i1, zero_sized, o3, s, layout).AddVariations(quant8_signed, includeDefault=False)
270 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 4, 4, 1}") variable
271 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 4, 4, 2.0, 2.0, 4, 4, layout).To(zero_sized)
277 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, 1, 2, 2, 1, 1, 1, 0, layout).To(o3)
285 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
296 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
[all …]
Dconcat_quant8_signed.mod.py151 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
152 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
156 model = model.Operation("CONCATENATION", zero_sized, zero_sized, 3).To(o3)
164 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
191 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
192 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
197 model = model.Operation("CONCATENATION", zero_sized, i2, 0).To(o3)
205 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
Dtranspose_conv2d_quant8_signed.mod.py226 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
227 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
234 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, s, 2, 2, 2, 0, layout).To(o3)
242 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
253 }).AddNchw(i1, zero_sized, o3, s, layout).AddVariations(quant8_signed, includeDefault=False)
269 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 4, 4, 1}") variable
270 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 4, 4, 2.0, 2.0, 4, 4, layout).To(zero_sized)
276 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, 1, 2, 2, 1, 1, 1, 0, layout).To(o3)
284 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
295 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
Dmax_pool_quant8_signed.mod.py240 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
241 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
245 model = model.Operation("MAX_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
253 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
262 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
279 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
280 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
284 model = model.Operation("MAX_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
292 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
301 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
Dconv2d_quant8_signed.mod.py190 zero_sized = Internal("featureMap", "TENSOR_QUANT8_ASYMM_SIGNED", "{0, 2, 2, 2}, 0.5f, 0") variable
191 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
198 model = model.Operation("CONV_2D", zero_sized, w, b, 0, 0, 0, 0, 1, 1, 0, layout).To(o3)
205 }).AddNchw(i1, zero_sized, o3, layout)
365 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
366 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
372 model = model.Operation("CONV_2D", zero_sized, w, b, 0, 0, 0, 0, 1, 1, 0, layout).To(o3)
380 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
391 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
407 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
[all …]
Davg_pool_quant8_signed.mod.py288 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
289 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
293 model = model.Operation("AVERAGE_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
301 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
310 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
327 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
328 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
332 model = model.Operation("AVERAGE_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
340 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
349 }).AddNchw(i1, zero_sized, o3, layout).AddVariations(quant8_signed, includeDefault=False)
Dslice_quant8_signed.mod.py56 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
58 layout).To(zero_sized)
62 model = model.Operation("SLICE", zero_sized, [0, 1, 1, 0],
71 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
Droi_align_quant8_signed.mod.py227 zero_sized = Output("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
228 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
236 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0)
243 zero_sized: [],
244 }).AddNchw(i1, zero_sized, layout).AddVariations(quant8_signed, includeDefault=False)
Dtanh_quant8_signed.mod.py53 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
54 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
58 model = model.Operation("TANH", zero_sized).To(o3)
66 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),
Dadd_quant8_signed.mod.py72 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 2}") variable
73 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
78 model = model.Operation("ADD", zero_sized, i2, 0).To(o3)
86 zero_sized: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, 0),

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