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Aug 2, 2018
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Temporarily shifted to tests working on all machines #34

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194 changes: 37 additions & 157 deletions test/tensorflex_test.exs
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Original file line number Diff line number Diff line change
@@ -1,193 +1,73 @@
defmodule TensorflexTest do
use ExUnit.Case

describe "matrix functionalities" do
test "matrix creation check" do
assert [[2.2,1.3,44.5],[5.5,6.1,3.333]] = Tensorflex.create_matrix(2,3, [[2.2,1.3,44.5],[5.5,6.1,3.333]]) |> Tensorflex.matrix_to_lists
describe "core functionalities" do

test "basic matrix functions check" do
mat = Tensorflex.create_matrix(4,4,[[123,431,23,1],[1,2,3,4],[5,6,7,8],[768,564,44,5]])
assert {4,4} = Tensorflex.size_of_matrix mat
assert 44.0 = Tensorflex.matrix_pos(mat,4,3)
assert [[123.0, 431.0, 23.0, 1.0],[1.0, 2.0, 3.0, 4.0],[5.0, 6.0, 7.0, 8.0],[768.0, 564.0, 44.0, 5.0]] = Tensorflex.matrix_to_lists mat
end

test "matrix to lists conversion check" do
mat = Tensorflex.create_matrix(5,4,[[123,431,23,1],[1,2,3,4],[5,6,7,8],[768,564,44,5],[1,2,3,4]])
assert [[123.0, 431.0, 23.0, 1.0],[1.0, 2.0, 3.0, 4.0],[5.0, 6.0, 7.0, 8.0],[768.0, 564.0, 44.0, 5.0],[1.0, 2.0, 3.0, 4.0]] = Tensorflex.matrix_to_lists mat
end

test "matrix access function check" do
mat = Tensorflex.create_matrix(2,3, [[2.2,1.3,44.5],[5.5,6.1,3.333]])
assert 5.5 = Tensorflex.matrix_pos(mat,2,1)
assert 3.333 = Tensorflex.matrix_pos(mat,2,3)
test "running session/graph loading check" do
{:ok, graph} = Tensorflex.read_graph("./test/graphdef_toy.pb")
assert ["input", "weights", "weights/read", "biases", "biases/read", "MatMul", "add", "output"] = Tensorflex.get_graph_ops graph
in_vals = Tensorflex.create_matrix(3,3,[[1.0,1.0,1.0],[2.0,2.0,2.0],[3.0,3.0,3.0]])
in_dims = Tensorflex.create_matrix(1,2,[[3,3]])
{:ok, input_tensor} = Tensorflex.float32_tensor(in_vals, in_dims)
out_dims = Tensorflex.create_matrix(1,2,[[3,2]])
{:ok, output_tensor} = Tensorflex.float32_tensor_alloc(out_dims)
assert [[56.349998474121094, 39.26000213623047], [109.69999694824219, 75.52000427246094], [163.04998779296875, 111.77999877929688]] = Tensorflex.run_session(graph, input_tensor, output_tensor, "input", "output")
end

test "get size of matrix" do
assert {3,3} = Tensorflex.create_matrix(3,3, [[3.9,62,122],[2.2,1.3,44.5],[5.5,6.1,3.333]]) |> Tensorflex.size_of_matrix
end
test "CSV loading function check" do
m_header = Tensorflex.load_csv_as_matrix("./test/sample2.csv", header: :true, delimiter: "-")
assert [[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0], [9.0, 10.0, 11.0, 12.0]] = Tensorflex.matrix_to_lists m_header
m_no_header = Tensorflex.load_csv_as_matrix("./test/sample1.csv", header: :false)
assert [[1.0, 2.0, 3.0, 4.0, 5.0],[6.0, 7.0, 8.0, 9.0, 10.0],[11.0, 12.0, 13.0, 14.0, 15.0]] = Tensorflex.matrix_to_lists m_no_header

test "append new row to matrix function check" do
mat = Tensorflex.create_matrix(4,4,[[123,431,23,1],[1,2,3,4],[5,6,7,8],[768,564,44,5]])
mat = Tensorflex.append_to_matrix(mat, [[4.4,2,7,9.9]])
assert {5,4} = Tensorflex.size_of_matrix mat
assert 7.0 = Tensorflex.matrix_pos(mat,5,3)
assert_raise ArgumentError, fn ->
_m = Tensorflex.load_csv_as_matrix("./test/sample1.csv", header: :no_header, delimiter: ",")
end
end
end

describe "float32 tensor functionalities" do
test "float32_tensor/2 tensor creation check" do
test "float32 tensor functions check" do
dims = Tensorflex.create_matrix(1,2,[[1,3]])
vals = Tensorflex.create_matrix(1,3,[[245,202,9]])
{:ok, tensor} = Tensorflex.float32_tensor vals,dims
{:ok, :tf_float} = Tensorflex.tensor_datatype(tensor)
end

test "float32_tensor/1 tensor creation check" do
{:ok, tensor} = Tensorflex.float32_tensor 1234.1234
{:ok, :tf_float} = Tensorflex.tensor_datatype(tensor)
end
{:ok, ftensor} = Tensorflex.float32_tensor 1234.1234
{:ok, :tf_float} = Tensorflex.tensor_datatype(ftensor)
{:ok, tensor_alloc} = Tensorflex.float32_tensor_alloc dims
{:ok, :tf_float} = Tensorflex.tensor_datatype(tensor_alloc)

test "float32_tensor_alloc/1 tensor creation check" do
dims = Tensorflex.create_matrix(1,2,[[1,3]])
{:ok, tensor} = Tensorflex.float32_tensor_alloc dims
{:ok, :tf_float} = Tensorflex.tensor_datatype(tensor)
end

test "incorrect usage check" do
assert_raise FunctionClauseError, fn ->
Tensorflex.float32_tensor("123.123")
end

assert_raise FunctionClauseError, fn ->
Tensorflex.float32_tensor(123)
end
end
end

describe "float64 tensor functionalities" do
test "float64_tensor/2 tensor creation check" do
dims = Tensorflex.create_matrix(1,2,[[1,3]])
vals = Tensorflex.create_matrix(1,3,[[245,202,9]])
{:ok, tensor} = Tensorflex.float64_tensor vals,dims
{:ok, :tf_double} = Tensorflex.tensor_datatype(tensor)
end

test "float64_tensor/1 tensor creation check" do
{:ok, tensor} = Tensorflex.float64_tensor 1234.1234
{:ok, :tf_double} = Tensorflex.tensor_datatype(tensor)
end

test "float64_tensor_alloc/1 tensor creation check" do
dims = Tensorflex.create_matrix(1,2,[[1,3]])
{:ok, tensor} = Tensorflex.float64_tensor_alloc dims
{:ok, :tf_double} = Tensorflex.tensor_datatype(tensor)
end

test "incorrect usage check" do
assert_raise FunctionClauseError, fn ->
Tensorflex.float64_tensor("123.123")
end

assert_raise FunctionClauseError, fn ->
Tensorflex.float64_tensor(123)
Tensorflex.float32_tensor(123)
end
end
end

describe "int32 tensor functionalities" do
test "int32_tensor/2 tensor creation check" do
test "int32 tensor functions check" do
dims = Tensorflex.create_matrix(1,2,[[1,3]])
vals = Tensorflex.create_matrix(1,3,[[245,202,9]])
{:ok, tensor} = Tensorflex.int32_tensor vals,dims
{:ok, :tf_int32} = Tensorflex.tensor_datatype(tensor)
end

test "int32_tensor/1 tensor creation check" do
{:ok, tensor} = Tensorflex.int32_tensor 1234
{:ok, :tf_int32} = Tensorflex.tensor_datatype(tensor)
end
{:ok, ftensor} = Tensorflex.int32_tensor 1234
{:ok, :tf_int32} = Tensorflex.tensor_datatype(ftensor)
{:ok, tensor_alloc} = Tensorflex.int32_tensor_alloc dims
{:ok, :tf_int32} = Tensorflex.tensor_datatype(tensor_alloc)

test "int32_tensor_alloc/1 tensor creation check" do
dims = Tensorflex.create_matrix(1,2,[[1,3]])
{:ok, tensor} = Tensorflex.int32_tensor_alloc dims
{:ok, :tf_int32} = Tensorflex.tensor_datatype(tensor)
end

test "incorrect usage check" do
assert_raise FunctionClauseError, fn ->
Tensorflex.int32_tensor("123.123")
end

assert_raise FunctionClauseError, fn ->
Tensorflex.int32_tensor(123.123)
end
end
end

describe "string tensor functionality" do
test "string tensor creation check" do
{:ok, tensor} = Tensorflex.string_tensor "123.123"
{:ok, :tf_string} = Tensorflex.tensor_datatype tensor
end

test "incorrect usage check" do
assert_raise FunctionClauseError, fn ->
Tensorflex.string_tensor(123.123)
end

assert_raise FunctionClauseError, fn ->
Tensorflex.string_tensor(123)
end
end
end

describe "graph loading and reading functionalities" do
test "graph loading check" do
{:ok, _graph_toy} = Tensorflex.read_graph "./test/graphdef_toy.pb"
{:ok, _graph_iris} = Tensorflex.read_graph "./test/graphdef_iris.pb"
end

test "get all graph ops" do
{:ok, graph_toy} = Tensorflex.read_graph "./test/graphdef_toy.pb"
{:ok, graph_iris} = Tensorflex.read_graph "./test/graphdef_iris.pb"
assert ["input", "weights", "weights/read", "biases", "biases/read", "MatMul", "add", "output"] = Tensorflex.get_graph_ops graph_toy
assert ["input", "weights1", "weights1/read", "biases1", "biases1/read", "weights2", "weights2/read", "biases2", "biases2/read", "MatMul", "Add", "Relu", "MatMul_1", "Add_1", "output"] = Tensorflex.get_graph_ops graph_iris
end

test "incorrect usage check" do
assert_raise ArgumentError, fn ->
{:ok, _graph} = Tensorflex.read_graph "Makefile"
end

assert_raise ArgumentError, fn ->
{:ok, _graph} = Tensorflex.read_graph "Makefile.pb"
end
end
end

describe "session functionality" do
test "running session check" do
{:ok, graph} = Tensorflex.read_graph("./test/graphdef_toy.pb")
in_vals = Tensorflex.create_matrix(3,3,[[1.0,1.0,1.0],[2.0,2.0,2.0],[3.0,3.0,3.0]])
in_dims = Tensorflex.create_matrix(1,2,[[3,3]])
{:ok, input_tensor} = Tensorflex.float32_tensor(in_vals, in_dims)
out_dims = Tensorflex.create_matrix(1,2,[[3,2]])
{:ok, output_tensor} = Tensorflex.float32_tensor_alloc(out_dims)
assert [[56.349998474121094, 39.26000213623047], [109.69999694824219, 75.52000427246094], [163.04998779296875, 111.77999877929688]] = Tensorflex.run_session(graph, input_tensor, output_tensor, "input", "output")
end
end

describe "miscellaneous functionalities" do
test "CSV-with-header loading function check" do
m = Tensorflex.load_csv_as_matrix("./test/sample2.csv", header: :true, delimiter: "-")
assert [[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0], [9.0, 10.0, 11.0, 12.0]] = Tensorflex.matrix_to_lists m
end

test "CSV-without-header loading function check" do
m = Tensorflex.load_csv_as_matrix("./test/sample1.csv", header: :false)
assert [[1.0, 2.0, 3.0, 4.0, 5.0],[6.0, 7.0, 8.0, 9.0, 10.0],[11.0, 12.0, 13.0, 14.0, 15.0]] = Tensorflex.matrix_to_lists m
end

test "CSV-to-matrix function incorrect usage check" do
assert_raise ArgumentError, fn ->
_m = Tensorflex.load_csv_as_matrix("./test/sample1.csv", header: :no_header, delimiter: ",")
Tensorflex.int32_tensor(123.123)
end
end
end
end

end