third_party/NNPACK/test/convolution-output/smoke.cc
TEST(FT8x8, few_input_channels) {
	ConvolutionTester tester;
	tester.inputSize(8, 8)
		.iterations(100)
		.errorLimit(1.0e-5);
	for (size_t inputChannels = 2; inputChannels <= 5; inputChannels++) {
		tester.inputChannels(inputChannels).testOutput(nnp_convolution_algorithm_ft8x8);
	}
}
/*
 * Test that the implementation can handle small non-unit number of input channels
 */
Test that the implementation can handle small non-unit number of input channels
Test that the implementation can handle small non - unit number of input channels
TEST(FT8x8, few_input_channels) {
	ConvolutionTester tester;
	tester.inputSize(8, 8)
		.iterations(100)
		.errorLimit(1.0e-5);
	for (size_t inputChannels = 2; inputChannels <= 5; inputChannels++) {
		tester.inputChannels(inputChannels).testOutput(nnp_convolution_algorithm_ft8x8);
	}
}
TEST ( FT8x8 , few_input_channels ) { ConvolutionTester tester ; tester . inputSize ( 8 , 8 ) . iterations ( 100 ) . errorLimit ( 1.0e-5 ) ; for ( size_t inputChannels = 2 ; inputChannels <= 5 ; inputChannels ++ ) { tester . inputChannels ( inputChannels ) . testOutput ( nnp_convolution_algorithm_ft8x8 ) ; } }
Test that the implementation can handle small non-unit number of input channels
Test that the implementation can handle small non - unit number of input channels