Searched defs:b1 (Results 1 - 25 of 44) sorted by relevance

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/frameworks/base/tools/aapt2/util/
H A DBigBuffer_test.cpp35 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;
/frameworks/ml/nn/runtime/test/specs/
H A Dconv_float.mod.py20 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)
H A Dconv_float_channels.mod.py20 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)
H A Dconv_float_channels_weights_as_inputs.mod.py20 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:
H A Dconv_float_large.mod.py20 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)
H A Dconv_float_large_weights_as_inputs.mod.py20 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:
H A Dconv_float_weights_as_inputs.mod.py20 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:
H A Dconv_quant8.mod.py22 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
H A Dconv_quant8_channels.mod.py20 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)
H A Dconv_quant8_channels_weights_as_inputs.mod.py20 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:
H A Dconv_quant8_large.mod.py20 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)
H A Dconv_quant8_large_weights_as_inputs.mod.py20 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:
H A Dconv_quant8_overflow.mod.py20 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)
H A Dconv_quant8_overflow_weights_as_inputs.mod.py20 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:
H A Dconv_quant8_weights_as_inputs.mod.py20 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
H A Ddepthwise_conv2d_float.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) variable
28 i1, f1, b1,
38 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_large.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [100, 200]) # depth_out = 2 variable
28 i1, f1, b1,
39 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_large_2.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [600000, 700000, 800000, 900000]) # depth_out = 4 variable
28 i1, f1, b1,
41 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_large_2_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{4}") # depth_out = 4 variable
28 i1, f1, b1,
45 b1:
48 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_large_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{2}") # depth_out = 2 variable
28 i1, f1, b1,
41 b1:
44 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{4}") variable
28 i1, f1, b1,
43 b1:
45 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_quant8.mod.py20 b1 = Parameter("op3", "TENSOR_INT32", "{2}, 0.25f, 0", [0, 0]) variable
28 i1, f1, b1,
H A Ddepthwise_conv2d_quant8_large.mod.py20 b1 = Parameter("op3", "TENSOR_INT32", "{2}, 0.25f, 0", [0, 0]) variable
28 i1, f1, b1,
H A Ddepthwise_conv2d_quant8_large_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0") variable
28 i1, f1, b1,
38 b1:
H A Ddepthwise_conv2d_quant8_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0") variable
28 i1, f1, b1,
38 b1:

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