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Searched refs:zero_sized (Results 1 – 25 of 26) sorted by relevance

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/frameworks/ml/nn/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),
71 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
72 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
77 model = model.Operation("CONCATENATION", zero_sized, i2, 0).To(o3)
85 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
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)
81 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", "float16")
97 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
98 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
102 model = model.Operation("L2_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
110 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", "float16")
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),
127 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
143 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
144 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
148 model = model.Operation("RESIZE_BILINEAR", zero_sized, 1.6, 1.6, layout).To(o3)
156 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
166 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "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),
147 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
163 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
164 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
168 model = model.Operation("MAX_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
176 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
186 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Davg_pool_v1_2.mod.py152 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
153 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
157 model = model.Operation("AVERAGE_POOL_2D", zero_sized, 0, 0, 0, 0, 1, 1, 2, 2, 0, layout).To(o3)
165 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
175 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
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)
196 model = model.Operation("AVERAGE_POOL_2D", zero_sized, 1, 1, 1, 2, 2, 0, layout).To(o3)
204 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
214 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Dfully_connected_v1_2.mod.py59 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 3}") variable
60 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
66 model = model.Operation("FULLY_CONNECTED", zero_sized, w, b, 0).To(o3)
74 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
86 }).AddNchw(i1, zero_sized, 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),
219 }).AddNchw(i1, zero_sized, o3, s, layout).AddVariations("relaxed", quant8, "float16")
235 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 4, 4, 1}") variable
236 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 4, 4, 2.0, 2.0, 4, 4, layout).To(zero_sized)
242 model = model.Operation("TRANSPOSE_CONV_2D", zero_sized, w, b, 1, 2, 2, 1, 1, 1, 0, layout).To(o3)
250 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
262 }).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),
225 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
241 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
242 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
246 model = model.Operation("RESIZE_NEAREST_NEIGHBOR", zero_sized, 1.6, 1.6, layout).To(o3)
254 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
264 }).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),
254 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
270 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
271 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
277 model = model.Operation("CONV_2D", zero_sized, w, b, 1, 1, 1, 0, layout).To(o3)
285 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
297 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
Dtranspose_v1_2.mod.py58 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
59 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
63 model = model.Operation("TRANSPOSE", zero_sized, [0, 3, 1, 2]).To(o3)
71 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
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)
74 }).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.py66 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
67 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
71 model = model.Operation("TANH", zero_sized).To(o3)
79 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Dadd_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("ADD", zero_sized, i2, 0).To(o3)
88 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)
244 zero_sized: [0],
245 }).AddNchw(i1, zero_sized, layout).AddVariations("relaxed", quant8, "float16")
Dlogistic_v1_2.mod.py71 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
72 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
76 model = model.Operation("LOGISTIC", zero_sized).To(o3)
84 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Dsoftmax_v1_2.mod.py76 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
77 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
81 model = model.Operation("SOFTMAX", zero_sized, 1.0).To(o3)
89 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Drelu_v1_2.mod.py65 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
66 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
70 model = model.Operation("RELU", zero_sized).To(o3)
78 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Drelu1_v1_2.mod.py65 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
66 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
70 model = model.Operation("RELU1", zero_sized).To(o3)
78 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Drelu6_v1_2.mod.py65 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
66 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
70 model = model.Operation("RELU6", zero_sized).To(o3)
78 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Dsub_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("SUB", zero_sized, i2, 0).To(o3)
88 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Dquantize.mod.py56 zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}") variable
57 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
61 model = model.Operation("QUANTIZE", zero_sized).To(o3)
Dslice.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("SLICE", zero_sized, [0, 1, 1, 0], [-1, 1, -1, 1]).To(o3)
137 zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
Ddiv_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("DIV", zero_sized, i2, 0).To(o3)
Ddequantize_v1_2.mod.py128 zero_sized = Internal("featureMap", "TENSOR_QUANT8_ASYMM", "{0, 2, 2, 1}, 0.1f, 128") variable
129 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
133 model = model.Operation("DEQUANTIZE", zero_sized).To(o3)

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