/frameworks/base/tools/aapt2/util/ |
H A D | BigBuffer_test.cpp | 35 char* b1 = buffer.NextBlock<char>(8); local 36 EXPECT_THAT(b1, NotNull()); 41 EXPECT_EQ(b1 + 8, b2); 54 uint32_t* b1 = buffer.NextBlock<uint32_t>(); local 55 ASSERT_THAT(b1, NotNull()); 56 *b1 = 33; 60 b1 = buffer2.NextBlock<uint32_t>(); 61 ASSERT_THAT(b1, NotNull()); 62 *b1 = 44;
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/frameworks/ml/nn/runtime/test/specs/ |
H A D | conv_float.mod.py | 20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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H A D | conv_float_channels.mod.py | 20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.]) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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H A D | conv_float_channels_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_FLOAT32", "{3}") variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 37 b1:
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H A D | conv_float_large.mod.py | 20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.]) variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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H A D | conv_float_large_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_FLOAT32", "{3}") variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 38 b1:
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H A D | conv_float_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_FLOAT32", "{1}") variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 35 b1:
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H A D | conv_quant8.mod.py | 22 b1 = Parameter("op3", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) variable 30 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, 38 # (i1 (conv) f1) + b1
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H A D | conv_quant8_channels.mod.py | 20 b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0]) variable 26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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H A D | conv_quant8_channels_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_INT32", "{3}, 0.25, 0") variable 26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 35 b1:
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H A D | conv_quant8_large.mod.py | 20 b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0]) variable 26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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H A D | conv_quant8_large_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_INT32", "{3}, 0.25, 0") variable 26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 36 b1:
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H A D | conv_quant8_overflow.mod.py | 20 b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0]) variable 26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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H A D | conv_quant8_overflow_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_INT32", "{3}, 0.25, 0") variable 26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 36 b1:
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H A D | conv_quant8_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_INT32", "{1}, 0.25f, 0") variable 28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) 35 b1: 37 # (i1 (conv) f1) + b1
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H A D | depthwise_conv2d_float.mod.py | 20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) variable 28 i1, f1, b1, 38 # (i1 (conv) f1) + b1
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H A D | depthwise_conv2d_float_large.mod.py | 20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [100, 200]) # depth_out = 2 variable 28 i1, f1, b1, 39 # (i1 (conv) f1) + b1
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H A D | depthwise_conv2d_float_large_2.mod.py | 20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [600000, 700000, 800000, 900000]) # depth_out = 4 variable 28 i1, f1, b1, 41 # (i1 (conv) f1) + b1
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H A D | depthwise_conv2d_float_large_2_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_FLOAT32", "{4}") # depth_out = 4 variable 28 i1, f1, b1, 45 b1: 48 # (i1 (conv) f1) + b1
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H A D | depthwise_conv2d_float_large_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_FLOAT32", "{2}") # depth_out = 2 variable 28 i1, f1, b1, 41 b1: 44 # (i1 (conv) f1) + b1
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H A D | depthwise_conv2d_float_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_FLOAT32", "{4}") variable 28 i1, f1, b1, 43 b1: 45 # (i1 (conv) f1) + b1
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H A D | depthwise_conv2d_quant8.mod.py | 20 b1 = Parameter("op3", "TENSOR_INT32", "{2}, 0.25f, 0", [0, 0]) variable 28 i1, f1, b1,
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H A D | depthwise_conv2d_quant8_large.mod.py | 20 b1 = Parameter("op3", "TENSOR_INT32", "{2}, 0.25f, 0", [0, 0]) variable 28 i1, f1, b1,
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H A D | depthwise_conv2d_quant8_large_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0") variable 28 i1, f1, b1, 38 b1:
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H A D | depthwise_conv2d_quant8_weights_as_inputs.mod.py | 20 b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0") variable 28 i1, f1, b1, 38 b1:
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