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Commit 3660bd63 authored by Carlos Alfredo Yeverino Rodriguez's avatar Carlos Alfredo Yeverino Rodriguez
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Bugfix: ${input} in convolution template (case: input same as data input)...

Bugfix: ${input} in convolution template (case: input same as data input) should not be a reference anymore due to the new version of the add_input function.
Test must be made with Blob "data" always due to the new version of the add_input function.
parent 2e83a839
......@@ -179,7 +179,7 @@ img = cv2.imread("3.jpg") # Load test image
img = cv2.resize(img, (28,28)) # Resize to 28x28
img = cv2.cvtColor( img, cv2.COLOR_RGB2GRAY ) # Covert to grayscale
img = img.reshape((1,1,28,28)).astype('float32') # Reshape to (1,1,28,28)
workspace.FeedBlob("${tc.architectureInputs[0]}", img, device_option=device_opts) # FeedBlob
workspace.FeedBlob("data", img, device_option=device_opts) # FeedBlob
workspace.RunNet('deploy_net', num_iter=1) # Forward
print("\nInput: {}".format(img.shape))
......@@ -17,7 +17,7 @@
<#assign kernelParameter = "kernel=[${kernelHeight},${kernelWidth}]">
<#if input = tc.architectureInputs[0]> <#-- TODO: CHECK COMPARISON -->
${} = brew.conv(model, '${input}', '${}', dim_in=1, dim_out=${element.channels?c}, ${kernelParameter}, ${strideParameter})
${} = brew.conv(model, ${input}, '${}', dim_in=1, dim_out=${element.channels?c}, ${kernelParameter}, ${strideParameter})
${} = brew.conv(model, ${input}, '${}', dim_in=${element.element.inputTypes[0].channels?c}, dim_out=${element.channels?c}, ${kernelParameter}, ${strideParameter})
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