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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/experimental/mlir/testing/op_tests/
A Dconv_bias_activation.py58 def get_tensor_shapes(parameters): argument
59 input_shape = parameters["input_shape"]
60 filter_size = parameters["filter_shape"]
73 strides=parameters["strides"],
74 dilations=parameters["dilations"],
84 def build_graph(parameters): argument
94 if parameters["data_format"] == "NCHW":
100 strides=parameters["strides"],
101 dilations=parameters["dilations"],
112 if parameters["data_format"] == "NCHW":
[all …]
A Dbatchmatmul.py47 def build_graph(parameters): argument
49 placeholder0_shape = parameters["shapes"][0]
50 adj_a = parameters["adjoint_a"]
51 adj_b = parameters["adjoint_b"]
52 rhs_constant = parameters["rhs_constant"]
61 constant1_shape = parameters["shapes"][3]
73 placeholder1_shape = parameters["shapes"][1]
82 input0_shape = parameters["shapes"][2]
83 adj_a = parameters["adjoint_a"]
84 adj_b = parameters["adjoint_b"]
[all …]
A Dtensor_list_set_item.py40 def build_graph(parameters): argument
43 dtype=parameters["element_dtype"],
44 shape=[parameters["num_elements"]] + parameters["element_shape"])
46 dtype=parameters["element_dtype"], shape=parameters["element_shape"])
53 num_elements=parameters["num_elements"],
54 element_dtype=parameters["element_dtype"])
57 def build_inputs(parameters, sess, inputs, outputs): argument
58 data = create_tensor_data(parameters["element_dtype"],
60 parameters["element_shape"])
61 item = create_tensor_data(parameters["element_dtype"],
[all …]
A Dconv3d.py40 def build_graph(parameters): argument
43 dtype=parameters["input_dtype"],
45 shape=parameters["input_shape"])
47 dtype=parameters["input_dtype"],
49 shape=parameters["filter_shape"])
54 strides=parameters["strides"],
56 padding=parameters["padding"])
62 parameters["input_dtype"],
63 parameters["input_shape"],
67 parameters["input_dtype"],
[all …]
A Didentify_dilated_conv.py44 def get_tensor_shapes(parameters): argument
45 input_shape = parameters["input_shape"]
46 filter_size = parameters["filter_shape"]
52 def build_graph(parameters): argument
60 if parameters["constant_filter"]:
74 strides=parameters["strides"],
75 dilations=parameters["dilations"],
76 padding=parameters["padding"],
77 data_format=parameters["data_format"])
80 def build_inputs(parameters, sess, inputs, outputs): argument
[all …]
A Dtensor_list_concat.py39 def build_graph(parameters): argument
42 dtype=parameters["element_dtype"],
43 shape=[parameters["num_elements"]] + parameters["element_shape"])
45 parameters["element_shape"])
46 out = list_ops.tensor_list_concat(tensor_list, parameters["element_dtype"],
47 parameters["element_shape"])
50 def build_inputs(parameters, sess, inputs, outputs): argument
51 data = create_tensor_data(parameters["element_dtype"],
52 [parameters["num_elements"]] +
53 parameters["element_shape"])
A Dtensor_list_get_item.py40 def build_graph(parameters): argument
43 dtype=parameters["element_dtype"],
44 shape=[parameters["num_elements"]] + parameters["element_shape"])
46 parameters["element_shape"])
47 out = list_ops.tensor_list_get_item(tensor_list, parameters["index"],
48 parameters["element_dtype"])
51 def build_inputs(parameters, sess, inputs, outputs): argument
52 data = create_tensor_data(parameters["element_dtype"],
53 [parameters["num_elements"]] +
54 parameters["element_shape"])
A Dtensor_list_resize.py40 def build_graph(parameters): argument
43 dtype=parameters["element_dtype"],
44 shape=[parameters["num_elements"]] + parameters["element_shape"])
46 parameters["element_shape"])
48 parameters["new_size"])
50 tensor_list, element_dtype=parameters["element_dtype"])
53 def build_inputs(parameters, sess, inputs, outputs): argument
54 data = create_tensor_data(parameters["element_dtype"],
55 [parameters["num_elements"]] +
56 parameters["element_shape"])
A Dstatic_rnn_with_control_flow_v2.py44 def build_graph(parameters): argument
47 num_batches = parameters["num_batches"]
48 time_step_size = parameters["time_step_size"]
49 input_vec_size = parameters["input_vec_size"]
50 num_cells = parameters["num_cells"]
54 dtype=parameters["dtype"],
62 if parameters["use_sequence_length"]:
75 def build_inputs(parameters, sess, inputs, outputs): argument
88 num_batches = parameters["num_batches"]
89 time_step_size = parameters["time_step_size"]
[all …]
A Ddynamic_rnn.py43 def build_graph(parameters): argument
45 num_batches = parameters["num_batches"]
46 time_step_size = parameters["time_step_size"]
47 input_vec_size = parameters["input_vec_size"]
48 num_cells = parameters["num_cells"]
55 lstm_cell, input_tensor, dtype=parameters["dtype"])
58 def build_inputs(parameters, sess, inputs, outputs): argument
62 num_batches = parameters["num_batches"]
63 time_step_size = parameters["time_step_size"]
64 input_vec_size = parameters["input_vec_size"]
[all …]
A Dtensor_list_dynamic_shape.py39 def build_graph(parameters): argument
42 dtype=parameters["element_dtype"], shape=parameters["element_shape"])
45 num_elements=parameters["num_elements"],
46 element_dtype=parameters["element_dtype"])
49 condition = lambda i, _: i < parameters["num_elements"]
54 tf.constant(value=1, dtype=parameters["element_dtype"]))
61 num_elements=parameters["num_elements"],
62 element_dtype=parameters["element_dtype"])
65 def build_inputs(parameters, sess, inputs, outputs): argument
66 item = create_tensor_data(parameters["element_dtype"],
[all …]
A Deinsum.py49 def build_graph(parameters): argument
51 input0_shape = parameters["shapes"][0]
52 input1_shape = parameters["shapes"][1]
53 equation = parameters["shapes"][2]
56 dtype=parameters["dtype"], shape=input0_shape)
58 dtype=parameters["dtype"], shape=input1_shape)
62 def build_inputs(parameters, sess, inputs, outputs): argument
64 input0_shape = parameters["shapes"][0]
65 input1_shape = parameters["shapes"][1]
66 input0_value = create_tensor_data(parameters["dtype"], input0_shape)
[all …]
A Dshape_to_strided_slice.py31 def build_graph(parameters): argument
34 dtype=parameters["dtype"],
36 shape=parameters["dynamic_input_shape"])
37 begin = parameters["begin"]
38 end = parameters["end"]
39 strides = parameters["strides"]
46 begin_mask=parameters["begin_mask"],
47 end_mask=parameters["end_mask"])
50 def build_inputs(parameters, sess, inputs, outputs): argument
53 parameters["dtype"],
[all …]
A Dwhere_v2.py73 def build_graph(parameters): argument
78 shape=parameters["input_condition_shape"])
80 dtype=parameters["input_dtype"],
82 shape=parameters["input_shape_set"][0])
84 dtype=parameters["input_dtype"],
86 shape=parameters["input_shape_set"][1])
90 def build_inputs(parameters, sess, inputs, outputs): argument
93 input_value1 = create_tensor_data(parameters["input_dtype"],
94 parameters["input_shape_set"][0])
95 input_value2 = create_tensor_data(parameters["input_dtype"],
[all …]
A Didentify_dilated_conv1d.py42 def get_tensor_shapes(parameters): argument
43 input_shape = parameters["input_shape"]
44 filter_size = parameters["filter_size"]
45 filter_shape = [filter_size, input_shape[2], parameters["num_filters"]]
48 def build_graph(parameters): argument
50 input_shape, filter_shape = get_tensor_shapes(parameters)
60 stride=parameters["stride"],
61 dilations=parameters["dilations"],
62 padding=parameters["padding"])
65 def build_inputs(parameters, sess, inputs, outputs): argument
[all …]
A Dtensor_list_length.py39 def build_graph(parameters): argument
42 dtype=parameters["element_dtype"],
43 shape=[parameters["num_elements"]] + parameters["element_shape"])
45 parameters["element_shape"])
49 def build_inputs(parameters, sess, inputs, outputs): argument
50 data = create_tensor_data(parameters["element_dtype"],
51 [parameters["num_elements"]] +
52 parameters["element_shape"])
A Dcumsum.py38 def build_graph(parameters): argument
41 dtype=parameters["dtype"], shape=parameters["shape"])
44 parameters["axis"],
45 exclusive=parameters["exclusive"],
46 reverse=parameters["reverse"])
49 def build_inputs(parameters, sess, inputs, outputs): argument
50 input1 = create_tensor_data(parameters["dtype"], parameters["shape"])
A Dstft.py39 def build_graph(parameters): argument
41 dtype=parameters["input_dtype"],
43 shape=parameters["input_shape"])
46 frame_length=parameters["frame_length"],
47 frame_step=parameters["frame_step"],
48 fft_length=parameters["fft_length"])
51 def build_inputs(parameters, sess, inputs, outputs): argument
52 input_value = create_tensor_data(parameters["input_dtype"],
53 parameters["input_shape"])
A Dirfft2d.py47 def build_graph(parameters): argument
49 dtype=parameters["input_dtype"],
51 shape=parameters["input_shape"])
52 outs = tf.signal.irfft2d(input_value, fft_length=parameters["fft_length"])
55 def build_inputs(parameters, sess, inputs, outputs): argument
57 rfft_length.append(parameters["input_shape"][-2])
58 rfft_length.append((parameters["input_shape"][-1] - 1) * 2)
59 rfft_input = create_tensor_data(np.float32, parameters["input_shape"])
A Drfft.py37 def build_graph(parameters): argument
39 dtype=parameters["input_dtype"],
41 shape=parameters["input_shape"])
42 outs = tf.signal.rfft(input_value, fft_length=parameters["fft_length"])
45 def build_inputs(parameters, sess, inputs, outputs): argument
46 input_value = create_tensor_data(parameters["input_dtype"],
47 parameters["input_shape"])
A Drfft2d.py40 def build_graph(parameters): argument
42 dtype=parameters["input_dtype"],
44 shape=parameters["input_shape"])
45 outs = tf.signal.rfft2d(input_value, fft_length=parameters["fft_length"])
48 def build_inputs(parameters, sess, inputs, outputs): argument
49 input_value = create_tensor_data(parameters["input_dtype"],
50 parameters["input_shape"])
A Dbroadcast_gradient_args.py37 def build_graph(parameters): argument
39 input1 = tf.compat.v1.placeholder(dtype=parameters['dtype'], name='input1')
40 input2 = tf.compat.v1.placeholder(dtype=parameters['dtype'], name='input2')
44 def build_inputs(parameters, sess, inputs, outputs): argument
45 dtype = parameters['dtype'].as_numpy_dtype()
47 if parameters['input_case'] == 'ALL_EQUAL':
52 elif parameters['input_case'] == 'ONE_DIM':
57 elif parameters['input_case'] == 'NON_BROADCASTABLE':
A Dbroadcast_to.py50 def build_graph(parameters): argument
53 dtype=parameters["input_dtype"],
55 shape=parameters["input_shape"])
57 out = tf.broadcast_to(input_tensor, shape=parameters["output_shape"])
60 def build_inputs(parameters, sess, inputs, outputs): argument
62 create_tensor_data(parameters["input_dtype"], parameters["input_shape"])
/AliOS-Things-master/components/lwip/lwip2.0.0/apps/iperf/
A Diperf_task.c239 if ( parameters ) { in iperf_udp_run_server()
270 if ( parameters ) { in iperf_udp_run_server()
451 if ( parameters ) { in iperf_udp_run_server()
517 if ( parameters ) { in iperf_tcp_run_server()
634 if ( parameters ) { in iperf_tcp_run_server()
733 if ( parameters ) { in iperf_tcp_run_client()
759 if ( parameters ) { in iperf_tcp_run_client()
812 if ( parameters ) { in iperf_tcp_run_client()
935 if ( parameters ) { in iperf_udp_run_client()
968 if ( parameters ) { in iperf_udp_run_client()
[all …]
/AliOS-Things-master/components/oss/src/model/
A DListMultipartUploadsRequest.cc82 ParameterCollection parameters; in specialParameters() local
83 parameters["uploads"] = ""; in specialParameters()
85 parameters["delimiter"] = delimiter_; in specialParameters()
89 parameters["max-uploads"] = std::to_string(maxUploads_); in specialParameters()
93 parameters["key-marker"] = keyMarker_; in specialParameters()
95 parameters["upload-id-marker"] = uploadIdMarker_; in specialParameters()
100 parameters["prefix"] = prefix_; in specialParameters()
104 parameters["encoding-type"] = encodingType_; in specialParameters()
106 return parameters; in specialParameters()

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