Enable Reduce min/max quantization for post training quantization.
Also, enable zip tests Fixes #39601 PiperOrigin-RevId: 321399245 Change-Id: Ieae5cbf7b916241a4a15635e3a467e630fdf7595
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@ -516,7 +516,8 @@ TfLiteStatus EvalLogic(TfLiteContext* context, TfLiteNode* node,
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ResizeTempAxis(context, op_context, resolved_axis));
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TF_LITE_ENSURE_OK(context, ResizeOutputTensor(context, op_context));
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}
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if (op_context->input->type == kTfLiteUInt8) {
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if (op_context->input->type == kTfLiteUInt8 ||
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op_context->input->type == kTfLiteInt8) {
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TF_LITE_ENSURE_EQ(context, op_context->input->params.scale,
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op_context->output->params.scale);
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TF_LITE_ENSURE_EQ(context, op_context->input->params.zero_point,
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@ -249,13 +249,17 @@ def make_reduce_prod_tests(options):
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@register_make_test_function()
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def make_reduce_max_tests(options):
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"""Make a set of tests to do max."""
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return make_reduce_tests(tf.reduce_max)(options)
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return make_reduce_tests(
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tf.reduce_max, allow_fully_quantize=True, min_value=-1, max_value=1)(
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options)
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@register_make_test_function()
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def make_reduce_min_tests(options):
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"""Make a set of tests to do min."""
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return make_reduce_tests(tf.reduce_min)(options)
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return make_reduce_tests(
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tf.reduce_min, allow_fully_quantize=True, min_value=-1, max_value=1)(
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options)
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@register_make_test_function()
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@ -975,6 +975,13 @@ OperatorProperty GetOperatorProperty(const ModelT* model, int subgraph_index,
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property.restrict_same_input_output_scale = true;
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property.version = 2;
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break;
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case BuiltinOperator_REDUCE_MAX:
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case BuiltinOperator_REDUCE_MIN:
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property.inputs = {{0, {}}};
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property.outputs = {{0, {}}};
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property.restrict_same_input_output_scale = true;
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property.version = 2;
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break;
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default:
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// No quantized implementation exists for this operation.
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property.quantizable = false;
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