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Searched refs:channelDim (Results 1 – 25 of 30) sorted by relevance

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/frameworks/ml/nn/runtime/test/specs/V1_2/
Ddepthwise_conv2d_v1_2.mod.py35 …f1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.01,…
36 …b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.005, 0.0025, 0.005,…
41 …f1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.01,…
42 …b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.005, 0.0025, 0.005,…
74 …f2: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.5, …
75 …b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25, 0.125, 0.25, 0.…
102 …f3: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[0.125…
103 …b3: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.0625, 0.125], hide=…
130 …f4: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=3, scales=[1.0, …
131 …b4: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 1.0, 0.5, 0.5], …
Dgrouped_conv2d.mod.py45 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
46 …b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.0625, 0.125], hide=…
52 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
53 …b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.0625, 0.125], hide=…
86 …w2: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[2.0, …
87 …b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 0.625], hide=Tru…
121 …w3: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
122 …b3: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.125, 0.15] * 3, hid…
Dconv2d_v1_2.mod.py35 …f1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.125…
36 … b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.0625], hide=True)),
63 …f2: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5])…
64 b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25], hide=True)),
91 …f3: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, …
92 …b3: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25, 0.2, 0.15], hid…
119 …f4: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, …
120 …b4: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25, 0.5, 0.25], hid…
125 …f4: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, …
126 …b4: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 1.0, 1.005], hid…
Ddepthwise_conv2d_per_channel.mod.py20 extraParams = SymmPerChannelQuantParams(channelDim=3, scales=[0.5, 0.5]))
36 extraParams = SymmPerChannelQuantParams(channelDim=3, scales=[1.0, 0.5, 1.0, 0.5]))
55 extraParams = SymmPerChannelQuantParams(channelDim=3, scales=[1.0, 0.5, 1.0, 0.5]))
Dconv2d_per_channel.mod.py19 …[1, 2, 1, 2, 1, 2], extraParams = SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 0.75, 1.0]))
34 …[1, 2, 1, 2, 1, 2], extraParams = SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 0.75, 1.0]))
63 …[1, 2, 1, 2, 1, 2], extraParams = SymmPerChannelQuantParams(channelDim=0, scales=[0.5, 0.75, 1.0]))
Dtranspose_conv2d.mod.py46 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
47 …b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.0625, 0.125], hide=…
53 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
54 …b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.0625, 0.125], hide=…
87 …w2: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25]…
88 b2: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5], hide=True)),
Dtranspose_conv2d_large.mod.py39 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5] …
40 …b1: ("TENSOR_INT32", 0.0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.125] * 16, hide=Tru…
Ddequantize_v1_2.mod.py64 extraParams=SymmPerChannelQuantParams(channelDim=0, scales=[2., 0.5])),
81 channelDim=1, scales=[2., 1., 0.5])),
/frameworks/ml/nn/runtime/test/
DTestOperandExtraParams.cpp101 .channelDim = 3, in createSymmPerChannelQuantParams()
171 .channelDim = 7, in TEST_F()
184 .channelDim = 3, in TEST_F()
189 .channelDim = 3, in TEST_F()
206 .channelDim = 3, in TEST_F()
218 .channelDim = 3, in TEST_F()
/frameworks/ml/nn/common/operations/
DDequantize.cpp53 const int channelDim = inputShape.extraParams.channelQuant().channelDim; in computePerChannel() local
55 for (int i = getNumberOfDimensions(inputShape) - 1; i > channelDim; --i) { in computePerChannel()
67 const int scaleIndex = (i / stride) % getSizeOfDimension(inputShape, channelDim); in computePerChannel()
/frameworks/ml/nn/runtime/test/generated/vts_models/
Ddepthwise_conv2d_per_channel.model.cpp6 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.5f}, .channelDim=3}); in createTestModel_same()
152 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.5f}, .channelDim=3}); in createTestModel_same_weight_as_input()
298 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.5f}, .channelDim=3}); in createTestModel_same_dynamic_output_shape()
444 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.5f}, .channelDim=3}); in createTestModel_same_dynamic_output_shape_weight_as_input()
590 …raParams1.channelQuant(SymmPerChannelQuantParams{.scales={1.0f, 0.5f, 1.0f, 0.5f}, .channelDim=3}); in createTestModel_different()
736 …raParams1.channelQuant(SymmPerChannelQuantParams{.scales={1.0f, 0.5f, 1.0f, 0.5f}, .channelDim=3}); in createTestModel_different_weight_as_input()
882 …raParams1.channelQuant(SymmPerChannelQuantParams{.scales={1.0f, 0.5f, 1.0f, 0.5f}, .channelDim=3}); in createTestModel_different_dynamic_output_shape()
1028 …raParams1.channelQuant(SymmPerChannelQuantParams{.scales={1.0f, 0.5f, 1.0f, 0.5f}, .channelDim=3}); in createTestModel_different_dynamic_output_shape_weight_as_input()
1174 …raParams1.channelQuant(SymmPerChannelQuantParams{.scales={1.0f, 0.5f, 1.0f, 0.5f}, .channelDim=3}); in createTestModel_layout_nhwc()
1329 …raParams1.channelQuant(SymmPerChannelQuantParams{.scales={1.0f, 0.5f, 1.0f, 0.5f}, .channelDim=3}); in createTestModel_layout_nhwc_weight_as_input()
[all …]
Dconv2d_per_channel.model.cpp6 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel()
143 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_weight_as_input()
280 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_dynamic_output_shape()
417 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_dynamic_output_shape_weight_as_input()
554 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_layouts_nhwc()
700 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_layouts_nhwc_weight_as_input()
846 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_layouts_nchw()
992 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_layouts_nchw_weight_as_input()
1138 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_layouts_dynamic_output_shape_nhwc()
1284 … extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f, 0.75f, 1.0f}, .channelDim=0}); in createTestModel_layouts_dynamic_output_shape_nhwc_weight_as_input()
[all …]
Ddequantize_v1_2.model.cpp1238 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 0.5f}, .channelDim=0}); in createTestModel_5()
1292 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 0.5f}, .channelDim=0}); in createTestModel_relaxed_5()
1347 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 0.5f}, .channelDim=0}); in createTestModel_float16_5()
1401 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 0.5f}, .channelDim=0}); in createTestModel_dynamic_output_shape_5()
1455 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 0.5f}, .channelDim=0}); in createTestModel_dynamic_output_shape_relaxed_5()
1510 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 0.5f}, .channelDim=0}); in createTestModel_dynamic_output_shape_float16_5()
1564 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 1.0f, 0.5f}, .channelDim=1}); in createTestModel_6()
1618 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 1.0f, 0.5f}, .channelDim=1}); in createTestModel_relaxed_6()
1673 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 1.0f, 0.5f}, .channelDim=1}); in createTestModel_float16_6()
1727 extraParams0.channelQuant(SymmPerChannelQuantParams{.scales={2.0f, 1.0f, 0.5f}, .channelDim=1}); in createTestModel_dynamic_output_shape_6()
[all …]
Dtranspose_conv2d_large.model.cpp131 …5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f}, .channelDim=0}); in createTestModel_channelQuant8()
384 …5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f, 0.5f}, .channelDim=0}); in createTestModel_dynamic_output_shape_channelQuant8()
Dgrouped_conv2d.model.cpp1224 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_none_channelQuant8()
1379 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_none_channelQuant8_weight_as_input()
1534 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_none_channelQuant8_2()
1689 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_none_channelQuant8_weight_as_input_2()
3366 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu_channelQuant8()
3521 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu_channelQuant8_weight_as_input()
3676 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu_channelQuant8_2()
3831 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu_channelQuant8_weight_as_input_2()
5508 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu1_channelQuant8()
5663 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu1_channelQuant8_weight_as_input()
[all …]
Ddepthwise_conv2d_v1_2.model.cpp463 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_nhwc_channelQuant8()
618 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_nhwc_channelQuant8_2()
1382 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_nhwc_weight_as_input_channelQuant8()
1537 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_nhwc_weight_as_input_channelQuant8_2()
2301 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_nchw_channelQuant8()
2456 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_nchw_channelQuant8_2()
3220 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_nchw_weight_as_input_channelQuant8()
3375 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_nchw_weight_as_input_channelQuant8_2()
4139 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_dynamic_output_shape_nhwc_channelQuant8()
4294 …ms1.channelQuant(SymmPerChannelQuantParams{.scales={0.01f, 0.005f, 0.01f, 0.005f}, .channelDim=3}); in createTestModel_dynamic_output_shape_nhwc_channelQuant8_2()
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Dtranspose_conv2d.model.cpp1008 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_none_channelQuant8()
1136 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_none_channelQuant8_weight_as_input()
1264 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_none_channelQuant8_2()
1392 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_none_channelQuant8_weight_as_input_2()
2772 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu_channelQuant8()
2900 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu_channelQuant8_weight_as_input()
3028 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu_channelQuant8_2()
3156 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu_channelQuant8_weight_as_input_2()
4536 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu1_channelQuant8()
4664 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.25f, 0.5f}, .channelDim=0}); in createTestModel_nhwc_relu1_channelQuant8_weight_as_input()
[all …]
Dconv2d_v1_2.model.cpp436 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.125f}, .channelDim=0}); in createTestModel_nhwc_channelQuant8()
1155 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.125f}, .channelDim=0}); in createTestModel_nhwc_weight_as_input_channelQuant8()
1874 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.125f}, .channelDim=0}); in createTestModel_nchw_channelQuant8()
2593 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.125f}, .channelDim=0}); in createTestModel_nchw_weight_as_input_channelQuant8()
3312 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.125f}, .channelDim=0}); in createTestModel_dynamic_output_shape_nhwc_channelQuant8()
4031 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.125f}, .channelDim=0}); in createTestModel_dynamic_output_shape_nhwc_weight_as_input_channelQuant8()
4750 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.125f}, .channelDim=0}); in createTestModel_dynamic_output_shape_nchw_channelQuant8()
5469 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.125f}, .channelDim=0}); in createTestModel_dynamic_output_shape_nchw_weight_as_input_channelQuant8()
6107 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f}, .channelDim=0}); in createTestModel_nhwc_channelQuant8_2()
6691 extraParams1.channelQuant(SymmPerChannelQuantParams{.scales={0.5f}, .channelDim=0}); in createTestModel_nhwc_weight_as_input_channelQuant8_2()
[all …]
/frameworks/ml/nn/common/
DValidateHal.cpp102 NN_RET_CHECK_LT(channelQuant.channelDim, count) in validateOperandExtraParams()
105 << " with an invalid channelQuant.channelDim " << channelQuant.channelDim in validateOperandExtraParams()
107 uint32_t expected = operand.dimensions[channelQuant.channelDim]; in validateOperandExtraParams()
115 << channelQuant.channelDim << " is underspecified (can't be 0)"; in validateOperandExtraParams()
DUtils.cpp371 NN_RET_CHECK_LT(channelQuant.channelDim, halOperand.dimensions.size()) << tag; in validateOperandSymmPerChannelQuantParams()
373 NN_RET_CHECK_EQ(channelQuant.scaleCount, halOperand.dimensions[channelQuant.channelDim]) << tag; in validateOperandSymmPerChannelQuantParams()
374 NN_RET_CHECK_NE(halOperand.dimensions[channelQuant.channelDim], 0u) in validateOperandSymmPerChannelQuantParams()
375 << tag << " channel dimension " << channelQuant.channelDim << " is underspecified"; in validateOperandSymmPerChannelQuantParams()
376 for (uint32_t i = 0; i < halOperand.dimensions[channelQuant.channelDim]; i++) { in validateOperandSymmPerChannelQuantParams()
1615 operands[inputIndexes[1]].extraParams.channelQuant().channelDim != 0) { in validateOperation()
/frameworks/ml/nn/runtime/include/
DNeuralNetworksWrapper.h73 SymmPerChannelQuantParams(std::vector<float> scalesVec, uint32_t channelDim) in SymmPerChannelQuantParams()
76 .channelDim = channelDim, in SymmPerChannelQuantParams()
DNeuralNetworks.h5184 uint32_t channelDim; member
/frameworks/ml/nn/runtime/
DModelBuilder.cpp190 .channelDim = channelQuant.channelDim, in setOperandSymmPerChannelQuantParams()
DExecutionPlan.cpp185 .channelDim = fromChannelQuant.channelDim, in copyOperandExtraParams()
1385 return a.channelDim < b.channelDim; in initializeSlice()
/frameworks/ml/nn/tools/test_generator/
Dtest_generator.py272 def __init__(self, channelDim, scales, hide = False): argument
273 self.channelDim = channelDim
279 bshape[self.channelDim] = len(self.scales)
284 ", ".join(str(x) + "f" for x in self.scales), self.channelDim)
291 ", ".join(str(x) + "f" for x in self.scales), self.channelDim)

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